CONTENTS JSMAM VOLUME 7, FALL 2007 7 From the Editor by Dan C. Weilbaker, Ph.D. ACADEMIC ARTICLES 8 How Do I Trust Thee? Let Me Control the Way: The Role of Sales Control in the Development of Sales Manager Trust By Michael L. Mallin, Edward O’Donnell, and Michael Y. Hu What is Successful Sales Behavior? Exploratory Research in Business-to-Business Markets in the UK 28 By Peter Brent and Beth Rogers The Impact of Stigma: Negative Stereotypes of Salespeople 38 By Vinita Sangtani and John Andy Wood APPLICATION ARTICLES The Certified Sales Professional: Has the Time Finally Arrived? 53 By Neil Rackham Improving Sales Performance Through Situational Management in Sales Organizations 58 By Karl Pinczolits Mission Statement The main objective of the journal is to provide a focus for collaboration between practitioners and academics for the advancement of application, education, and research in the areas of selling and major account management. Our audience is comprised of both practitioners in industry and academics researching in sales. ©2007 By Northern Illinois University. All Rights Reserved. ISSN: 1463-1431 Journal of Selling & Major Account Management Strategic Partner BALL STATE UNIVERSITY INDIANA UNIVERSITY NORTHERN ILLINOIS UNIVERSITY UNIVERSITY OF HOUSTON ILLINOIS STATE UNIVERSITY BAYLOR UNIVERSITY Northern Illinois University UNIVERSITY OF AKRON OHIO UNIVERSITY KENNESAW STATE UNIVERSITY WILLIAM PATERSON UNIVERSITY UNIVERSITY OF TOLEDO Journal of Selling & Major Account Management Subscription Form Name Company Title Address City State Zip Country E-Mail Phone Fax Subscription Type Domestic Individual— $50 Domestic Corporate— $60 Foreign Individual – $70 Foreign Corporate— $80 Payment Method Check Enclosed Please Bill Me Card Type: Visa Mastercard Credit Card Discover American Express Name as it appears on card Card Number Exp. Date Signature Mail This Form to: Dr. Dan C. Weilbaker JSMAM Northern Illinois University DeKalb, IL 60115 Or Fax this Form to: JSMAM Attn: Dr. Dan C. Weilbaker (815) 753-6014 We appreciate your help! If you know of colleagues who might benefit and would be interested in subscribing to The Journal of Selling & Major Account Management, please forward one of the subscription forms. Thank-you, Dan C. Weilbaker, Editor Place Stamp Here Dr. Dan C. Weilbaker Journal of Selling & Major Account Management Department of Marketing 128 Barsema Hall Northern Illinois University DeKalb, IL 60115 FOLD HERE Fall 2007 Manuscripts 1. Articles for consideration should be sent to Editor: Dan C. Weilbaker, Department of Marketing Northern Illinois University, DeKalb, IL 60115 USA or by fax: 001 815-753-6014 or by email to dweilbak@niu.edu 2. Articles in excess of 6000 words will not normally be accepted. The Editor welcomes shorter articles, case studies and reviews. Contributors should specify the length of their articles. 3. A manuscript copy of the contribution along with four (4) copies should be submitted if possible with a copy on 3.5" diskette in Microsoft Word format, author's name(s)) and short title of the article. Alternatively, the contribution may be emailed to the above address as a Microsoft Word document; however contributors are advised to check by telephone that submissions have been received. Neither the Editor nor Northern Illinois University, Department of Marketing accepts any responsibility for loss or damage of any contributions submitted for publication in the Journal. Biographical note - supply a short biographical note giving the author(s) full name, appointment, institutions or organization / company and recent professional attainments. Synopsis - an abstract not exceeding 100 words should be included. 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Manuscripts should be typewritten using one side of 8 1/2” X 11” or A4 paper with all margins of 1" and double-spaced. Font style should be Times New Roman in 12 pitch. Footnotes should be typed at the bottom of the page and numbered consecutively throughout the text. 6. Cross references should not be to page numbers but to the text accompanying a particular footnote. 7 An address for correspondence (including email address) should be supplied as well as a telephone and fax number at which the author(s) may be contacted. . 8. Authors undertake to check proofs and to return them within the specified date. They should be free from grammatical, syntax or spelling errors. Failure to return proofs will result in the publication of the article at the editor’s discretion in which event the editor does not accept liability for any changes made to grammar syntax, spelling or other changes deemed necessary. The Editor reserves the right not to accept any alterations or corrections made. PERMISSIONS The copyright owner’s consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the publisher for such copying. Subscriptions To subscribe to Journal of Selling & Major Account Management, please go to www.cob.niu.edu/jsmam/subscription.asp or mail the subscription form to The Journal of Selling & Major Account Management,. 128 Barsema Hall, Northern Illinois University, DeKalb, IL 60115. Subscription prices are: U.S. Individual-$50; U.S. Corporation-$60; Foreign Individual-$70; Foreign Corporation-$80. EDITORIAL AND ADMINISTRATIVE STAFF EDITOR—Dan C. Weilbaker, Ph.D. McKesson Pharmaceutical Group Professor of Sales Department of Marketing Northern Illinois University dweilbak@niu.edu EUROPEAN EDITOR—Kevin Wilson Sales Research Trust Peyrenegre 47350 Labretonie France Kevin@sales-research-trust.org ASSISTANT—Candace Gardner Administrative Assistant Professional Sales Program Department of Marketing Northern Illinois University ccgardner@niu.edu Vol. 7, No. 4 Journal of Selling & Major Account Management EDITORIAL BOARD Rolph E. Anderson Drexel University Ramon A. Avila Ball State University Terri Barr Miami University—Ohio Jim W. Blythe University of Glamorgan Pascal Brassier ESC Clermont - Graduate School of Management Richard E. Buehrer University of Toledo Steven Castleberry University of Minnesota—Duluth William L. Cron Texas Christian University Laura Cuddihy Dublin Institute of Technology René Y. Darmon ESSEC Business School Dawn R. Deeter-Schmelz Ohio University Bill Donaldson Aberdeen Business School Sean Dwyer Louisiana Tech University Paolo Guenzi SDA Bocconi John Hansen Northern Illinois University Jon M. Hawes University of Akron Earl D. Honeycutt Elon University Thomas N. Ingram Colorado State University Mark C. Johlke Bradley University Northern Illinois University Buddy LaForge University of Louisville Terry W. Loe Kennesaw State University Daniel H. McQuiston Butler University Pete Naude Manchester Business School Stephen Newell Western Michigan University Nikolaos Panagopoulos, Ph.D. Athens University of Economics & Business Nigel F. Piercy University of Warwick Richard E. Plank University of South Florida, Lakeland Chris R. Plouffe, PhD Washington State University Ellen Bolman Pullins, PhD University of Toledo David Reid William Patterson University Gregory A. Rich Bowling Green State University Rick Ridnour Northern Illinois University Elizabeth Rogers Portsmouth Business School Jeffrey K. Sager University of North Texas Charles Schwepker, Jr. Central Missouri State University C. David Shepherd Kennesaw State University William A. Weeks Baylor University Michael R. Williams Illinois State University Fall 2007 From the Editor This is the fourth issue of our second year of publishing the Journal of Selling & Major Account Management. There are several interesting topics for our subscribers to learn from and use. If you are an academic and have an article with significant managerial implications we encourage you to submit the article for review. If you are a practitioner or consultant and would like to share something of interest that can be applied, we also welcome your contribution. In this fourth issue we provide three academic articles and two practitioner articles. The first academic article “How Do I Trust Thee? Let Me Control the Way: The Role of Sales Control in the Development of Sales Manager Trust” looks at the link between sales control and managerial trust. Data was analyzed to develop three models depicting managerial trust. The authors discuss implications as to how sales managers can build trusting relationships with their salespeople. The second article “What is Successful Sales Behavior? Exploratory Research in Business-toBusiness Markets in the UK” uses in-depth interviews to discover how sales professionals and sales managers and customers express their requirements and expectations. Results indicate there is confusion among respondents from both the supplier and customer organizations about how good behavior from sales people is judged and how good behaviors can be linked to measurable success. Article three “The Impact of Stigma: Negative Stereotypes of Salespeople” investigates the managerial implications of customers’ negative stereotyping (stigmatization) of the sales position. The study looks at data collected from 190 automobile salespeople. The authors conclude that managers need to be aware of stigmatization and its implications concerning salesperson effort and performance. The first application article, by Neil Rackham, makes a compelling case for revisiting qualifications and standards leading to sales professionalism. He discusses three significant business trends that are changing the world of selling. The final application article reports the findings, based on ten years of research, in analyzing the productivity of sales organizations. The author concludes his article by discussing four strategic outcomes for improving sales force productivity. We are grateful to the University Sales Center Alliance for their continued financial support, which helps us produce and distribute the journal while we continue to build our subscriber base to become self-supporting. Our thanks also go to the dedicated members of the Editorial Review Board, our ad hoc reviewers, our authors and finally our subscribers. Dan C. Weilbaker, Ph.D. Editor, The Journal of Selling & Major Account Management, McKesson Pharmaceutical Group Professor of Sales, Northern Illinois University Vol. 7, No. 4 8 Journal of Selling & Major Account Management How Do I Trust Thee? Let Me Control the Way: The Role of Sales Control in the Development of Sales Manager Trust By Michael L. Mallin, Edward O’Donnell, and Michael Y. Hu The authors propose and test a theoretical link between sales control and managerial trust. The relationship between a manager and salesperson is examined over time to show that at various stages of their relationship, managerial trust in a salesperson is dependent upon the type of sales control strategy that is used, the firm specific expertise of the salesperson, and congruent goals between the manager and salesperson. Data from 100 industrial sales managers was analyzed to develop three models depicting managerial trust at the “beginning stage”, “developing stage”, and “advanced stage” of the manager – salesperson relationship. The results from this study offer managerial implications as to how sales managers can build trusting relationships with their salespeople. INTRODUCTION How can a manager utilize sales control to develop trust in h/her salesforce? This is an important question because managerial trust has been shown to have an impact on subordinate job satisfaction (Brashear, Manolis, and Brooks 2003, Dirks and Ferrin 2002), commitment to the relationship (Morgan and Hunt 1994), cooperative behavior (Jones and George 1998), positive attitudes (Dirks and Ferrin 2002), reluctance to quit (Dirks and Ferrin 2002) and most important, bottom line performance (Atuahene-Gima and Li 2002; Brashear, Manolis, and Brooks 2003, Dirks and Ferrin 2002). Because trust produces such benefits, managers need to implement strategies to build trusting relationships with their subordinates in order to maximize organizational effectiveness. But despite the benefits of trust, managers still need to utilize sales control to ensure the attainment of organizational objectives (Challagalla and Shervani 1996). In fact, in their call for more Northern Illinois University research to adapt sales control to the new selling environment, Brown et al. (2005) suggest that managers utilize appropriate forms of control to set sales goals and reward sales performance in order to build trustbased relationships with subordinates. This implies that both trust and control need to co-exist in a well-managed salesforce. Unfortunately, the extant research provides little in the way of describing how managers can concurrently utilize trust and control to effectively manage their salespeople. The fundamental goal of sales management is to direct the activities of the salesforce to ensure the attainment of performance goals and objectives (Ingram, et al. 2006). The salesforce management literature has historically focused on the use of sales control to accomplish this objective (Anderson and Oliver 1987; Challagalla and Shervani 1996; Cravens et al. 1993; Krafft 1999; Oliver and Anderson 1994, 1995). Much of this research has emphasized identifying the antecedents and outcomes of sales control (Cravens et al. Academic Article 1993, Krafft 1999, Oliver and Anderson 1994, 1995). However, despite the considerable strides made through this research, few insights have been provided to identify how managers can utilize sales control strategies to build trusting relationships with salespeople. This is an important issue for continued study since as Dirks and Ferrin (2002) suggest, trust building is a more important aspect of sales management than currently proposed in the literature. We address this topic by proposing and testing a theoretical link between sales control and managerial trust. We propose as the relationship between a manager and salesperson develops over time, specific forms of governance serve to create interdependencies between the manager and salesperson so that both parties may gain from an increase in knowledge, skill development, goal alignment, and communication (Rindfleisch and Heide 1997). The subsequent impact of this is to allow managers the flexibility to adjust their sales control strategy while increasing trust in their salespeople. To study sales control’s effect on trust, we examine managers’ use of sales control showing how its use leads to the development of salesperson expertise and goal orientation, ultimately resulting in increased managerial trust. To date, little research has been done to study these effects. Furthermore, most of the extant salesforce literature examines trust as perceived by the salesperson. This study fills an apparent void by studying trust from the sales manager’s perspective. We test our proposed sales control – trust relationship using a sample of sales managers to demonstrate the impact that sales control has Fall 2007 9 in the development of managerial trust in the salesperson. THEORY AND HYPOTHESES Our study centers on the formation of managerial trust along progressive stages of manager – salesperson relationship development. To establish the basis for our theoretical arguments, we begin by reviewing the relevant literature on managerial trust and salesforce governance. We then develop the linkage between sales control and trust by describing how the two change over the life of the manager – salesperson relationship. Based on the insights from this review, we develop testable hypotheses for the relationships between various salesforce governance mechanisms and trust. Managerial Trust & Salesforce Governance Trust is a psychological construct that has been widely applied in psychology, sociology, economics, management, and sales research. From the psychology literature, trust is an expectancy (Rotter 1967, 1971, 1980) held by one individual and based on prior experiences (Deutsch 1968) that another individual can be relied upon. In the sales literature, trust has been most commonly defined as the belief of the trusting person that another will fulfill h/her obligations. For example, in the sales literature, Swan, Trawick, and Silva (1985) define trust as the situation where one party (e.g., a manager, buyer, etc.) who is dependent on the salesperson’s honesty and reliability, believes that the salesperson can be relied upon to perform h/her duties or do what s/he commits to do. Swan, et al. (1988) suggested that being dependable/reliable, Vol. 7, No. 4 10 Journal of Selling & Major Account Management honest/candid, competent, customer-oriented, and likable/friendly were all likely to lead to a sales manager’s trust in the salesperson. Zaheer, McEvily, and Perrone (1998, page 125) summarize trust as “…the interpersonal reliance one boundary spanning agent has in his/her organizational counterpart…” Specific to our research, this definition of trust seems most appropriate because in the salesforce context, both sales manager and salesperson can be considered as “boundary-spanners” in that both are accountable to multiple constituents (e.g., managers, peers, customers, etc.). Here, we are primarily interested in the sales manager’s trust in h/her salesperson and how that trust is related to the specific sales governance strategies used by the manager. Although a great deal of research has examined the impact that various forms of salesforce governance have on salesperson opportunism (Krafft 1999, Oliver and Anderson 1994), little empirical research has been done to study the effects of salesforce governance on a sales manager’s trust toward a salesperson. In contrast to governance mechanisms which are designed to limit salesperson opportunism (Williamson 1985; 1996), interpersonal trust is an expectancy (Rotter 1967, 1971, 1980) based on prior experiences (Deutsch 1968; Driscoll 1978; McAllister 1995; Jones and George 1998) in the reliability (Swan, Trawick, and Silva 1985) of another that s/he will fulfill h/ her obligations (e.g., a salesperson will spend their day making sales calls as opposed to playing golf). Thus, trust is different from opportunism prevention in that it is “more delimited and behavioral in nature” (Jap and Anderson 2003). This suggests that the Northern Illinois University primary role of trust is not to prevent opportunism (per se) but instead to establish a more productive relationship by creating interdependencies between the organization and the salesperson (Morgan and Hunt 1994). Such interdependencies indirectly reduce the desire for salespeople to act opportunistically (Rindfleisch and Heide 1997). Thus, the study of trust development is an important contribution to sales research and more work is needed to understand how managerial trust develops. To better address this issue, we need to describe the relationship between sales control (as a mechanism for salesforce governance) and managerial trust at various stages of the manager – salesperson relationship. Sales Control and Trust Sales control has been conceptualized as a means for managers to enhance the attainment of desired organizational goals and objectives (Challagalla and Shervani 1996) while reducing the transaction costs associated with managing the salesforce (Anderson and Oliver 1987; Krafft 1999; Oliver and Anderson 1994, Baldauf, Craven, and Piercy 2005). Early on, Anderson and Oliver (1987) used transaction cost analysis (TCA) to conceptualize and later empirically test (Oliver and Anderson 1994) outcomes from manager’s use of sales control. Krafft (1999) later investigated the antecedents of sales control using two TCA dimensions (transaction specific assets and uncertainty). The traditional view (Anderson and Oliver 1987) depicts sales control as behavior-based, outcome-based, or some variation of the two (Oliver and Anderson 1995). Because of sales Academic Article control’s reliance on close managerial monitoring, evaluation, and supervision of subordinate performance, the relationship between sales control and trust has been posited to be a negative one (Williamson 1985). The implication here is that as the tenure of the relationship between a manager and salesperson develops over time, the sales manager will know how a salesperson is likely to act and will rely less on formal control to manage the salesperson. Over time, as control over the salesperson is diminished, managerial trust in the salesperson should increase. One particular view of sales control suggests that because of the wide range of subjective activities and behaviors that salespeople perform leading up to a sale, behavior-based sales control can be further divided into two components: activities control and capabilities control (Challagalla and Shervani 1996). The activity control component addresses the monitoring and supervision of activities in pursuit of the sale (e.g., making sales calls, delivering proposals, presentations, and customer demonstrations, etc.) whereas the capabilities control component emphasizes the development of salesperson skills (through coaching and mentoring) and abilities designed to improve performance. In essence, the focus here is on developing firm specific knowledge and abilities to make the salesperson a more valuable asset to the sales organization. Prior research (Challagalla and Shervani 1996; Rindfleisch and Heide 1997) suggests that this strategy tends to discourage salesperson opportunism; however, not much is known about its impact on managerial trust. To examine this, we draw from the empirical sales control literature to show at various Fall 2007 11 stages in the manager – salesperson relationship and based on the selling situation (Flaherty, Arnold, and Hunt 2007), behaviorbased sales control may serve to increase salesperson expertise, skill, and capabilities (Challagalla and Shervani 1996). Thus, in addition to preventing salesperson opportunism – such use of sales control can have an impact on managerial trust. The following discussion develops this logic and provides the basis for testable hypotheses. Beginning Stage of the Manager – Salesperson Relationship. In the early stage of their relationship, the manager’s knowledge of the salesperson will be limited due to few interactions and prior transactions between the two. For this reason, the risk of salesperson opportunism is high. This is due to the salesperson’s limited knowledge of company products, services, applications, and means to provide value to customers. Moreover, because a newly hired salesperson has had fewer opportunities to participate in training, communicate with h/her manager, and assimilate the sales organization culture, s/he may experience feelings of role ambiguity, lack of clarity, and isolation (Weitz, Castleberry, and Tanner 2004). Such feelings may result in the pursuit of activities that are non-productive and/or incongruent with organizational goals and objectives (i.e., opportunistic behavior). To reduce this uncertainty and to prevent salesperson opportunism, a sales manager utilizes a governance strategy that is primarily behaviorbased (Krafft 1999). Using this form of sales control, the manager may set specific activity goals for the salesperson (e.g., sales calls per day, prospecting leads, customer research, Vol. 7, No. 4 12 Journal of Selling & Major Account Management etc.). Being new, the salesperson will likely be eager to comply with these activity goals established by the manager. The manager will also actively work with the salesperson to develop skills and capabilities necessary to ensure that organizational objectives are met. This is done through closer managerial supervision, coaching and mentoring. At this stage of the relationship, we would expect that the development of managerial trust be primarily due to h/her confidence that the salesperson will utilize newly developed skills to reach performance objectives set by the manager. Therefore, we expect the following relationship between sales control and trust: H1: At the beginning stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s use of behavior-based sales control and the level of trust the manager assigns to that salesperson. Developing Stage of the Manager – Salesperson Relationship. The behavior-based sales control used by the manager up to this point plays a dual role in the trust building process. More specifically, in addition to closely supervising the activities of the salesperson, the investment made in salesperson capabilities development leads to the development of firm specific skill sets. If these skills have limited transferability to other sales organizations, it represents firm specific expertise. The firm specific expertise developed by the salesperson and the investments made by the sales manager to develop those skills represent credible commitments on the part of both individuals. According to Rindfleisch and Heide (1997), such investments tend to reduce opportunism; however, from a trust formation Northern Illinois University perspective, credible mutual investments cause a fundamental change to occur in the manager – salesperson relationship by shifting the focus of the relationship from protecting oneself to protecting the investments made by both individuals as well as the expected returns from those investments. This encourages the development of a closer, more trusting relationship between the sales manager and the salesperson. From the sales manager’s perspective, since the salesperson’s success is directly linked with that of the firm, the salesperson’s actions will likely be in the best interest of the firm’s. For this reason, the salesperson’s response to the sales manager’s investments in their professional development should increase h/her desire to share information and work in tandem with the manager to achieve sales objectives (Wathne and Heide 2000). This results in higher levels of managerial trust because, as long as the goals of the two are aligned, the manager can more confidently predict how the salesperson is likely to act. Our second hypothesis summarizes this argument: H2a: At the developing stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s perception of salesperson firm specific expertise and the level of trust the manager assigns to that salesperson. Because of the sales manager’s professional development investments up to this point, the salesperson will have the skills needed to be counted on to consistently meet required sales quotas and goals (e.g., revenue, unit sales, and profits). As a result, the manager may then change h/her sales control strategy from behavior-based to outcome-based as the focus Academic Article shifts from management of sales activities and capability development to sales production. This shift in control strategy better aligns the goals of the manager and the salesperson since both are now able to accrue (financial and results) benefits from output based performance goals (e.g., production of revenue, units, profit margin, etc.). Relative to managerial trust, we expect the following relationship: H2b: At the developing stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s use of outcome-based sales control and the level of trust the manager assigns to that salesperson. Advanced Stage of the Manager – Salesperson Relationship. As the manager – salesperson relationship enters an advanced stage, the impact of sales control on managerial trust should diminish and give way to other governance factors. At this stage, the manager and salesperson know each other well having had ample opportunities to interact over an extended period of time. At this point, both are motivated to work together to maximize returns. This leads to increasing levels of transparency between the two individuals which enhance the potential for continued positive customer outcomes (e.g., information is shared between the sales person - the primary customer interface, and the sales manager - the holder of firm resources, thereby allowing the two to identify and more quickly respond to customer needs). As positive outcomes are realized from their joint efforts to meet customer needs and as those outcomes are equitably split (Buvik and John 2000), higher levels of goal congruence are Fall 2007 13 expected to develop between the sales manager and the salesperson which facilitates increased cooperation, information exchange, and relational unity (Telser 1980). Managerial trust is increased because it is in the salesperson’s best interest to pursue goals that are consistent with that of the sales manager and the firm (i.e., a win/win condition is reinforced). In other words, the sales manager can trust that the salesperson will work in the best interest of the firm because when the firm wins so does the salesperson. At this stage, salesperson firm specific expertise is at its highest levels (due to experience and capability development) and as a result, managers are expected to allow the salesperson more freedom to accomplish sales goals with less monitoring and supervision (i.e., more outcome-based sales control). Our third set of hypotheses convey these relationships: H3a: At the advanced stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s perceived goal congruence with the salesperson and the level of trust the manager assigns to that salesperson. H3b: At the advanced stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s perception of salesperson firm specific expertise and the level of trust the manager assigns to that salesperson. This positive effect will be stronger than in any previous stages of the sales manager – salesperson relationship. H3c: At the advanced stage of the sales manager – salesperson relationship, a positive relationship exists between a sales manager’s use of outcome-based sales control and the level of trust the manager assigns to that salesperson. This positive effect will be stronger than in any previous stages of the sales manager – salesperson relationship. Vol. 7, No. 4 14 Journal of Selling & Major Account Management Figure 1: Hypothesized Relationships Sales Control * H1 + H2b H3c - Salesperson Expertise H2a + H3b + Managerial Trust H3a + Goal Congruence Beginning Stage of Relationship Developing Stage of Relationship Advanced Stage of Relationship * Sales Control: pos. relationship = behavior based; neg.relationship = outcome based Figure 1 is provided to summarize each of the hypothesized relationships of this section. METHOD Sample A questionnaire was provided to sales managers across different firms and industries. Prior to administering the questionnaire, a sample of 10 sales managers was selected to pre-test the survey. Managers were asked to complete the survey and provide comments on length of time to complete, instruction and question clarity, and overall survey flow. Based on their feedback, changes were made to clarify instructions and reduce the time needed to complete the survey. Upon revising the questionnaire, we contacted sales managers from a local chapter of Sales and Marketing Executives (SME) located in Northeast Ohio. Those managers who agreed to participate in the survey were either provided with a paper version (85 of which 53 were returned – response rate of 62%) or a web link to an online version of the survey Northern Illinois University (109 of which 47 were returned – response rate of 43%). The combined overall response rate was 52%. Based on membership information obtained from the director of the local SME chapter, the demographic profile of our sample closely parallels that of the SME membership. Consistent with Levin and Cross’s (2004) sampling methodology (4 subordinates to 1 manager in their case), sales managers were asked questions pertaining to any three individual (manager-identified) salespeople within their salesforce. To ensure that the manager was providing information on three different salespeople (versus the same one), we asked for a ranking of each salesperson (1 = highest to 3 = lowest) relative to h/her sales performance. This allowed us to gather information for a broader cross-section of salespeople relative to their level of performance. Table 1 shows the demographic breakdown of the respondents. We tested and found no significant differences resulting from multiple data collection Academic Article Fall 2007 15 Table 1 Demographics of Sample Mean Percent of Total Gender of Sales Manager: Male 65 Female 12 Not Specified 23 Avg. # of SP reporting to Sales Manager 10.9 Avg. Yrs Salesperson reporting to SM 3.3 Primary Customers are: Businesses 74 Resellers 24 Consumers 2 Primary Industry is: Telecommunications 26 Publishing/Printing 18 Financial Services 15 Business Services 13 Transportation Services 10 Real Estate Services 6 HealthCare 5 Other (Advertising, Promotion, Manufacturing) 7 methods (paper versus online). We used the t-test for metric scales and non-parametric Chi squared test of equal proportions for non-metric scales. The procedure outlined by Armstrong and Overton (1977) was used to verify that there were no significant differences between early and late responders for each of the variables used in the study. Measures Measurement items were drawn from existing scales and are included in the paper’s appendix. The dependent variable, managerial trust was measured for each salesperson by averaging four items. We chose this four-item measure of trust (based on the trust scale used by Zaheer, McEvily, and Perrone 1998) because it captured the predictive nature of trust (Deutsch 1968; Rotter 1980) as well as provided for a direct assessment. A factor analysis of two items directly measuring trust with two items measuring the manager’s Vol. 7, No. 4 16 Journal of Selling & Major Account Management ability to confidently predict future behavior based on past experiences predicted 71% of the total variance and loaded on a single factor. This, coupled with the high reliability estimate for the scale (Cronbach’s alpha = 0.87), determined that our measure was a valid representation of interpersonal trust. Sales control was measured using the control index methodology developed by Krafft (1999). This method, adapted from Cravens et al. (1993), produces an index that reflects the predominant sales control approach (more outcome-based or more behavior-based) that the manager uses to govern h/her salesforce. The decision to utilize this method was due to the transaction cost argument that a control strategy be chosen based on the ability to monitor sales output and activities (e.g., reporting), the reward system in place (e.g., salary versus commission), and the ability to supervise salespeople (i.e., span of control) in order to prevent opportunistic behavior. Three components were used to compute this index: 1) the information and measures that managers use to evaluate their salespeople, 2) the percentage of salesperson compensation that comes from salary, and 3) the number of salespeople reporting to the manager (i.e., span of control). Upon converting these measures to z-scores, they were averaged to compute the overall sales control index for the sales manager sample. This scale depicted more outcome-based control by negative values and more behavior-based control by positive values. For a more detailed description of this sales control index computation, see Krafft (1999). Northern Illinois University Salesperson firm specific expertise was measured using an adaptation of one set of scales developed by Behrman and Perreault (1982) in their study of salesperson performance. Each sales manager was asked questions pertaining to his perception of each salesperson’s proficiency in areas relative to their understanding company products, applications, and technologies, and the ability to function as a subject matter expert. The overall level of salesperson firm specific expertise was computed as the average of the individual items. The goal congruence scale was adapted from Jap’s (1999) study. Managers were asked to identify their level of disagreement/agreement with three statements pertaining to the degree to which the sales manager and salesperson’s goals and objectives are aligned. Goal congruence for each salesperson was computed by averaging the scores of the individual items. A high score indicated that the sales manager perceived that s/he and the salesperson had congruent goals. The Cronbach’s alphas for all measures exceeded 0.70 (see Table 2) thereby demonstrating acceptable levels of internal consistency (Nunnally 1978). Validation of Measures Descriptive statistics, correlations, and reliability measures for the variables in this study are identified in Table 2. Convergent validity of the independent variable measures was confirmed by computing the average variance extracted (AVE). All AVE values exceeded the 0.50 limit recommended by Fornell and Larker (1981) and had significant loadings on their corresponding constructs. We also tested for discriminant validity by Academic Article Fall 2007 confirming that no single item loaded more highly on another construct than it did on the construct it was intended to measure (Fornell and Larker 1981). Fit statistics from a confirmatory factor analysis (CFA) established an acceptable fitting measurement model. 17 Finally, all variables in the model were tested for excessive skewness and kurtosis by comparing the z-score equivalent of each variable to ± 2.58 for a 0.01 level test (Avlonitis and (Panagopoulos 2006). Table 2 Descriptive Statistics, Correlations Among Variables, and Reliability Estimates Construct 1 2 3 4 1 Managerial Trust (.87) 2 Sales Control Index (z-score) 0.04 3 Salesperson Firm Specific Expertise 0.40** -0.02 (.84) 4 Goal Congruence 0.59** 0.03 0.45** (.77) Mean 5.80 0.00 5.43 5.35 Standard Deviation 1.14 0.60 1.15 1.33 .57 .59 1 Avg. Variance Extracted (AVE) Mean (std. dev.) at various stages of SP-SM relationship tenure Mean (std dev.) - “beginning stage” 5.46 -0.01 5.29 5.32 (0 – 1.79 years) (1.32) (0.67) (1.26) (1.30) Mean (std dev) – “developing stage” 5.82 -0.05 5.34 5.34 (1.80- 3.57 years) (0.95) (0.41) (1.11) (1.32) Mean (std dev) - “advanced stage” 6.08 -0.10 5.71 5.32 (3.58 years +) (1.11) (0.68) (1.08) (1.31) N = 296 salespeople reported by 100 sales manager respondents. * Correlation is significant at the 0.05 level (2-tailed). **Correlation is significant at the 0.01 level (2-tailed). Cronbach’s alpha reliability scores are reported in parentheses along the diagonal Vol. 7, No. 4 18 Journal of Selling & Major Account Management Analysis RESULTS Prior to our analysis, all variables were meancentered. No unreasonably large correlations were observed between any of the independent variables in our model and the largest variance inflation factor (VIF) was 1.99 (for the goal congruence variable), therefore multicollinearity did not appear to be a problem (Neter et al. 1996). Table 2 illustrates descriptive statistics, correlations among the variables, and reliability measures. The mean and standard deviation of each variable for each of the three stages of the manager – salesperson relationship is also displayed. These results show that managerial trust increases as the relationship between manager and salesperson matures (mean = 5.46, 5.82, 6.08) as does salesperson firm specific expertise (mean = 5.29, 5.34, 5.71). The mean value of goal congruence over time is relatively constant (mean = 5.32, 5.34, 5.32) while sales control becomes progressively more outcome-based (mean =-0.01, -0.05, -0.10). Thus, the progression of the means for managerial trust, salesperson expertise, and managerial use of outcome-based control support our hypotheses. Unexpectedly, the means for goal congruence remained relatively constant over the three relationship developmental stages. We suspect that this may be due to the nature of the actual goals (e.g., activity goals versus output goals) that are set by the manager for the salesperson during each relationship stage. Three separate OLS regression models were run and illustrated in Table 3. In each model, a subsample was used by splitting the entire sample (100 managers reporting on 296 salespeople¹) into three equal portions based on an N-tile ranking of the tenure of the relationship between manager and salesperson. Based on this sample split, Model 1 (relationship tenure < 1.80 years; n=34 managers, reporting on 99 salespeople) tests the hypothesized relationship between sales control and trust (H1) as expected in the “beginning stage of manager – salesperson relationship”. Model 2 (relationship tenure ≥ 1.80 and < 3.58 years; n=33 managers reporting on 98 salespeople) investigates the relationships of trust to salesperson firm specific expertise (H2a) and sales control (H2b) in the “developing stage of the manager – salesperson relationship”. Model 3 (relationship tenure ≥ 3.58; n=33 managers reporting on 98 salespeople) tests the relationships between trust and goal congruence (H3a), firm specific expertise (H3b), and sales control (H3c) during the “advanced stage of the manager – salesperson relationship”. Since each hypothesis is directional, a single-tailed test of significance is used. To illustrate the total variance (of managerial trust) explained, each model reports R-squared values and beta coefficients for all three independent variables. The results of the regression models used to test the impact of our variables of interest on managerial trust are shown in Table 3. Model 1 (“beginning stage of the manager – salesperson relationship”) explained 32 percent (R-squared = 0.32; adjusted R-squared = 0.30) of the total variance in managerial trust and reveals a significant and positive relationship between sales control and managerial trust (b = 0.21, p < 0.05). Since sales control is an index with positive (negative) values being indicative of behavior-based (outcome-based) ¹Four salespeople were removed from the sample due to missing data values Northern Illinois University Academic Article Fall 2007 sales control (Krafft 1999) these results show support for H1. Model 2 (“developing stage of the manager – salesperson relationship”) explained 47 percent (R-squared = 0.47; adjusted R-squared = 0.45) of the total variance in managerial trust and reveals, in support of H2a, that salesperson firm specific expertise has a positive and significant 19 relationship to trust (b = 0.16, p < 0.05). Preliminary evidence supporting H2b was found. The impact of sales control on managerial trust was directionally correct (negative indicative of outcome-based sales control) and marginally significant (b = -0.11, p < 0.10). Model 3 (“advanced stage of manager – salesperson relationship”) explains Table 3 Regression Models of Managerial Trust in the Salesforce Trust (During 3-stages of the manager-salesperson relationship) Variables Model 1 (H1) “beginning stage” Model 2 (H2a, H2b) Model 3 (H3a, H3b, H3c) “developing stage” “advanced stage” Intercept 0.00 0.00 0.00 Sales Control 0.21** -0.11* -0.02 (2.57) (-1.33) (-0.31) SP Firm Specific Expertise 0.07 0.16** 0.33*** (0.75) (1.72) (3.05) 0.48*** 0.58*** 0.45*** (5.26) (6.40) (4.10) F-value for Model 13.35*** 24.11*** 29.08*** R-square 0.32 0.47 0.52 Adjusted R-square 0.30 0.45 0.50 Goal Congruence btw SM and SP *p < 0.10; **p < 0.05; ***p < .01 (single tailed significance test) Model 1: N = 34 managers reporting on 100 salespeople Model 2: N = 33 managers reporting on 98 salespeople Model 3: N = 33 managers reporting on 98 salespeople For each variable, the reported values are standardized betas with corresponding t-values in parenthesis. Vol. 7, No. 4 20 Journal of Selling & Major Account Management 52 percent of the variance of managerial trust. Consistent with our previous models, goal congruence has a positive and significant impact on managerial trust (b = 0.45, p < 0.01) which supports H3a. Additionally, salesperson firm specific expertise is significant and has a stronger impact than in the previous relationship stages (b = 0.33, p < 0.01) and is supportive of H3b. Testing the relationship of sales control and trust at this stage of the relationship revealed that although sales control was increasingly outcome-based (b = -0.02, p = 0.21), its effect on trust was not significant. Thus, H3c was not supported. One possible explanation for this is that in order for managerial trust to exist at this stage of the relationship, some behavior-based sales controls are required so that managers can be fully assured that customer needs are being met (i.e., salespeople are not just focused on making the sale without appropriate levels of post-sale customer support). Overall, the empirical findings from our three-stage model provide support for five of our six hypothesized relationships. In summary, our results suggest that managerial trust can develop by using behavior-based sales control to govern salespeople (H1). Salesperson firm specific expertise developed through the capability component of behavior-based sales control has the effect of increasing managerial trust (H2a) at which point sales control becomes more outcome-based (H2b). Furthermore, trust may be enhanced as the manager and salesperson develop goal congruence by working more closely together and by sharing information about sales opportunities (H3a) while the salesperson continues to develop h/her firm specific expertise (H3b). Northern Illinois University DISCUSSION & IMPLICATIONS MANAGERIAL In this study, we proposed and tested a theoretical link between sales control and managerial trust in a salesforce setting. Our findings suggest that sales managers’ use of behavior-based sales control (via its capability control component) provides a foundation for salesperson firm specific expertise and congruent goals to develop. The resulting fundamental change that takes place between the manager and the salesperson (from prevention of opportunism to working together to accomplish joint goals) continually enhances managerial trust as the relationship between the two matures. As the relationship between manager and salesperson matures managerial confidence in the salesperson’s reliability increases. This resulting trust seems to stem in part from the increase in the salesperson’s firm specific expertise over time. As the relationship develops, sales control becomes progressively more outcomebased which is indicative of the manager’s willingness to ease up on the close supervision and monitoring that is deemed necessary when the relationship is new. Unexpectedly, the mean value of goal congruence over time remains relatively constant. This suggests that it may not be the level of goal congruence that is important in the development of managerial trust rather the type of goals that are in alignment (e.g., sales activity versus sales output goals). For example, at early stages of the relationship, a manager may require a salesperson to make a specified number of sales calls (regardless of the outcome). The primary purpose of this is to establish the behavioral practice and skill Academic Article development in customer rapport building and needs identification. In later stages of the relationship, the goals set by the manager are geared more toward the production of sales output (e.g., making sales) because at this point, the salesperson has the skills necessary to close business. Our results suggest to a manager that in the “beginning stage” of their relationship with a salesperson trust is low and using sales control that is behavior-based can prevent opportunism. This allows the manager the opportunity to engage the salesperson in activities designed to develop h/her skills and capabilities. As the manager – salesperson relationship continues to develop a reorientation in the sales manager-salesperson relationship occurs as the salesperson becomes less reliant on the sales manager for direction and begins to make h/her own decisions. Both parties recognize that the investment made to develop the salesperson’s skill and expertise will begin to have a direct impact on bottom line sales results and the sales manager can utilize outcome-based controls to increase h/her own efficiencies (i.e., less direct supervision and monitoring is required). When this occurs, managerial trust in the salesperson increases because of the existing confidence that the salesperson will use their expertise to make sales that are congruent with organizational goals and objectives. Similar to Model 1, goal congruence was significant to managerial trust. However, since the mean of goal congruence at this “developing” relationship stage (mean = 5.34) is not significantly different from the mean in Fall 2007 21 the previous “beginning” stage (mean = 5.32), it is possible that congruent goals in developing sales manager–salesperson relationships are based on the production of sales output rather than goals based on sales activities/behaviors. Now that the salesperson has developed skills and capabilities, the focus (for both salesperson and manager) has shifted to production of sales revenue, units, and profit margin – all which serve to fulfill the financial goals of the manager and the quota goals (resulting in higher financial rewards) of the salesperson. This results in a “win-win” situation to be established so that when these goals are met, both the salesperson and the manager benefit. In the “advanced stage”, more information about customer needs and available firm resources will be shared between the manager and salesperson (e.g., improving their ability to find successful ways to use firm resources to meet customer needs). As a result, the goals of the manager and the salesperson become more congruent providing the basis for increased cooperation, information exchange, and unity (Telser 1980). Similar to goal congruence, due to the additional experience and incremental skills acquired by the salesperson, the level of firm specific expertise should continue to grow in this stage of the relationship. Increased level of expertise contributes to an increase in managerial trust as the salesperson becomes more confident in the salesperson’s ability to present the right product solution and service to the customer. Although sales control at this “advanced” relationship stage was (as predicted) more outcome-based than in previous stages its Vol. 7, No. 4 22 Journal of Selling & Major Account Management impact on managerial trust was not significant as predicted in H3c. One possible explanation for this is that managers may need some assurance that customers’ needs are being met after the sale is made regardless of the salesperson’s experience and skills. The tendency for a highly expert salesperson focused on sales outcomes may be to neglect the customer’s need for post-sale support. This may cause the manager some concern (e.g., for repeat business and customer relationship building) and as a result, s/he may choose to use a more balanced mix of behavior-based and outcome-based sales control. Thus, the effect of sales control on managerial trust at this relationship stage is not as clear as in previous stages (see Models 1 and 2). Overall, our three models do a reasonably good job of explaining managerial trust as we show support for the majority of our hypotheses. Our study provides a relatively new contribution to salesforce management literature by presenting a theoretical argument linking salesforce governance to the development of managerial trust. This is important since we show that a manager’s willingness to trust a salesperson stems, in part, from h/her choice(s) of sales governance, some that are more productive in engendering trust than others. In addition, in contrast to much of the existing sales literature which focuses on the salesperson’s trust in the sales manager (see Atuahene-Gima and Li 2002; Brashear, Boles, and Brooks 2003; Brashear, Manolis, and Brooks 2003; Choi, Dixon, and Jung 2005), our study examines trust from the sales manager’s perspective. For sales managers, we answer the question, Northern Illinois University “…how can a manager utilize sales control to develop trust in h/her salesforce?” Our results suggest that one of the ways is by adjusting the sales control strategy based on the stage of the manager’s relationship with a salesperson. CONCLUSION The purpose of this study was to propose and test a theoretical link between sales control and the development of managerial trust in salespeople. To do this, we suggested that specific forms of governance may serve to create interdependencies between manager and salesperson so that a win/win condition is established between them. We found that at various stages of the manager – salesperson relationship, managerial trust is dependent upon the type of sales control strategy that was used. Furthermore, sales control played a role in the development of trust building factors (such as salesperson firm specific expertise and goal congruence) that managers used to assign higher levels of trust to salespeople. We hope that this study acts as a stepping-stone for future managerial research in the sales area. Managers are continually seeking strategies that will result in higher firm performance and one way is through the effective use of sales control balanced with appropriate levels of trust in the salesperson. There are, however, several limitations in our study. A key limitation stems from our use of a single control index to measure sales control. While we used a well-established measurement for sales control based on its application to the theoretical framework of transaction cost analysis (Krafft 1999), other additional measures could be used in future research (see Academic Article Brashear, Manolis, and Brooks 2005) to provide a clearer interpretation of when the sales manager is using sales control that is behavior-based, outcome-based, or a mix of both. Furthermore, by using Jap’s (1999) measure of goal congruence, we were restricted to looking at the construct from a general perspective. In future studies, goal congruence could be more specifically identified as to whether the goals being measured are sales behaviors (e.g., sales inputs such as making sales calls, making sales presentations, etc.) or sales outcomes (e.g., sales output such as production of revenue, profits, etc.). This would allow researchers to better identify the specific types of goals that are important at each of the three stages of relationship development. Another limitation of this study involves its cross-sectional nature; future studies may employ a longitudinal study in order to better evaluate the development of managerial trust over time. Finally, though our model explains up to 52 percent of the total variance in managerial trust, we recognize that other factors may also play an important role in trust development and should be considered in future studies. REFERENCES Anderson, Erin and Richard L. Oliver. 1987. Perspectives on behavior-based versus outcome-based salesforce control systems. Journal of Marketing 51 (4): 76-88. Armstrong, J. Scott and Terry S. Overton. 1977. Estimating non-response bias in mail surveys. Journal of Marketing Research, 14 (3): 396-402. Fall 2007 23 Atuahene-Gima, Kwaku and Haiyang Li. 2002. When does trust matter? 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Generalized expectancies for interpersonal trust. American Psychologist 26 (1): 443-452. ------. 1980. Interpersonal trust, trustworthiness, and gullibility. American Psychologist 35 (1): 1-7. Vol. 7, No. 4 26 Journal of Selling & Major Account Management Michael L. Mallin (Ph.D., Kent State University), Assistant Professor of Marketing, The Edward H Schmidt School for Professional Sales, Department of Marketing and International Business, College of Business Administration, University of Toledo, Michael.Mallin@Utoledo.edu Edward A. O’Donnell (Ph.D., Kent State University), Assistant Professor of Marketing , D. Abbott Turner College of Business, Department of Marketing, Columbus State University, Edward_Odonnell@colstate.edu Michael Y. Hu (Ph.D., University of Minnesota), Bridgestone Professor in International Business; Professor of Marketing, Department of Marketing, College of Business Administration, Kent State University, mhu@kent.edu Northern Illinois University Academic Article Fall 2007 27 APPENDIX Sales Control Index – component 1 (Source: Adapted from Krafft 1999) (Check all the boxes that apply) What are the measures that you use to evaluate your salespeople? What kind of information do you receive from your salespeople? □ Number of sales calls b □ Number of sales calls b □ Qualitative/skill based aspects of selling (e.g., product □ Sales in units and volume a knowledge, presentation skills, etc..) b □ Sales promotion skills b □ Servicing of customers (e.g., customer satisfaction) b □ Knowledge/activities of competitors b □ Performance (sales units & volume) a a item indicative of outcome-based sales control b item indicative of behavior-based sales control Sales Control Index – component 2 (Source: Krafft 1999) Approximately what percentage of your salespeople’s cash compensation comes from fixed salary? ______ % Sales Control Index – component 3 (Source: Krafft 1999) How many salespeople report directly to you? ____ Managerial Trust Items: (Source: Adapted from Zaheer, McEvily, and Perrone 1998; Cronbach’s alpha = .87) (7-point Likert scale anchored by 1=”strongly disagree” to 7 = “strongly agree”). Each item asked relative to three manager identified salespeople. 1. I trust this salesperson 2. This salesperson is trustworthy 3. I know how this salesperson is going to act 4. This salesperson can always be counted on to act as I expect Firm Specific Expertise Items: (Source:Adapted from Behrman and Perreault 1982; Cronbach’s alpha = .84) (7-point Likert scale anchored by 1=”strongly disagree” to 7 = “strongly agree”) Each item asked relative to three manager identified salespeople. 1. This salesperson knows the applications and functions of company products and services 2. This salesperson acts as a special resource to other departments that need assistance 3. This salesperson keeps abreast of company product, service, and technological developments 4. This salesperson when possible, troubleshoots problems and takes action to correct or prevent product/service misapplications and/or failures Goal Congruence Items: (Source: Adapted from Jap1999; Cronbach’s alpha = .77) (7-point Likert scale anchored by 1=”strongly disagree” to 7 = “strongly agree”) Each item asked relative to three manager identified salespeople. 1. This salesperson and I have different goals (reversed) 2. This salesperson and I have compatible goals 3. This salesperson and I support each other’s objectives Vol. 7, No. 4 28 Journal of Selling & Major Account Management What is Successful Sales Behavior? Exploratory Research in Business-to-Business Markets in the UK By Peter Brent and Beth Rogers The role of the field salesperson, in the Business-to-Business sector has evolved over the years. Much of the research about direct professional salespeople has been in the areas of performance and control. Some research has been undertaken on behavioral expectations from purchasing managers, but this has been limited to aspects such as ethics and the effect of the supplier’s market orientation. The purpose of this study was to explore which behavioral traits of direct professional salespeople are most required and appreciated by purchasing managers , and also to understand the expectations about their behavior from their sales manager’s point of view. Introduction In an article in 2001, Betsy Cummings asks “Do Customers Hate Salespeople?” On the basis of interesting anecdotes, she identified six deadly sins of selling: 1.failure to do “homework” 2. being too pushy 3. pulling rank on buyers 4. not following up 5. being rude 6. being deliberately misleading This is a populist view from the trade press. Cummings does admit that most salespeople are knowledgeable and trustworthy, but unfortunately the negative stereotypes are all too familiar. Obviously any salesperson behavior can fail to meet customer expectations and lose business, but sales managers have to do more than help salespeople avoid these bad behaviors. They need to pinpoint the behaviors which generate positive sales performance in order to coach and develop their team for success. Northern Illinois University Early in 2002 some ad hoc research was conducted at a large international process manufacturing firm under the broad heading of ‘what buyers want from salespeople’. A senior group purchasing coordinator agreed to involve his colleagues in purchasing around the world, and asked them for their opinion as to what constituted a good salesperson. The top five results (in order) were: 1. honesty 2. product awareness 3. empathy 4. effective communication 5. customer advocacy As a footnote, an important point which emerged from later conversation was ‘we will judge salespeople by what they do, as much as by what they are selling.’ This research was an attempt to explain why some sales people were more successful than others. This success seemed to be somewhat independent of sales training, experience and, in some cases, previous sales ability. Academic Article Previously, the author had examined the use of incentives and other reward systems, but these did not of themselves answer the question. Good sales results were not consistently driven by rewards in the B2B domain. A review of academic papers on the performance of sales people did not provide complete clarity either. Discussions with colleagues, senior staff, customers and others suggested that there might be particular ‘behaviors’ which were likely to lead to consistent success. The authors considered that dyadic exploratory research on both the supplier and customer side of the sales process would be the best way to move forward. In order to understand perceptions, it seemed prudent to take a broad approach to uncover issues or problems before a quantitative program of study could be undertaken. It was necessary, due to the goodwill required to access companies for in-depth interviews, to examine only two industry sectors (manufacturing and information technology) where the authors had contacts. In addition to asking a number of open-ended questions about the nature of success associated with the skills, attributes, qualities and behaviors of the salesperson, a number of questions were asked about the culture, size and performance of the respondent firms, to see if these were likely variables for success. A study like this for the UK is timely. A recent international survey of 2,705 corporate buyers found that the sales profession in the UK had the lowest overall rating – 53% of 419 UK buyers rated the sales profession in the UK as “poor” or “fair” (Thomas et al, 2007). Fall 2007 29 Historical Research Walker Churchill and Ford (1977) proposed that the sales performance of an individual salesperson depended on motivation, aptitude and role perceptions. Salespeople need to be able to estimate how much time to spend on which tasks in order to achieve performance and reward. Thus, success seems to depend on self-esteem, their perceptions of capability, understanding of the business environment, task-specific aptitude and accurate role perception (knowing what is required from the job). In 1985, together with Hartley (Churchill, Ford, Hartley and Walker, 1985), they tested their model by performing a meta-analysis of 116 studies of salesperson p e r f o r ma n c e , i n cor p o r a t i n g 1 , 6 5 3 observations, going back to 1918. They concluded that these studies struggled to find any strong predictor of performance. Although none of the variables accounted for much variation they did find that accurate role perceptions topped the ranking, followed by selling skill and motivation. Aptitude and product type had some relevance in Business-to-Business selling. They concluded that there were multiple determinants of performance. The strongest indication was that a salesperson needs significant experience, knowledge and awareness in order to be motivated to achieve superior performance. The authors expected some of these factors to still be relevant, but that superior performance might be better explained by something defined by customers. Vol. 7, No. 4 30 Journal of Selling & Major Account Management The Adaptive Selling Behavior model (Weitz, Sujan and Sujan, 1986) might also be relevant to this study. Weitz et al (1986) argued that if salespeople are able to gather information to develop tailored propositions to customers, and adapt that proposition in the light of customer feedback, they are more likely to succeed. Many studies since have reinforced this finding, (e.g. Park and Holloway 2003, who found that Adaptive Selling Behavior had a significant positive influence on customer retention, opportunity conversion, sales volume, market share and profitability). They found that learning orientation was also linked to better performance. Additionally, Reid et al (1997) conducted an extensive survey study of industrial buyers’ assessment of sales behaviors, involving 568 members of the National Association of Purchasing Management in the USA. They found that salespeople needed to improve their understanding of customer needs and ability to create value by applying their products/services to the customers operations and processes. They concluded that the effective use of information to adapt the offering to provide the best solution for the buyer was “the bottom line”. Finally, other studies have had a more specific focus. For example, Trawick et al (1991) describe buyers’ aversion to buying from unethical salespeople and Roman and Ruiz (2005) found that perceptions of ethical sales behavior improved customer satisfaction and commitment to the salesperson and their firm. In a separate study, Roman et al (2005) found that poor listening skills negatively affect salesperson performance, and that Northern Illinois University commission based on sales volume negatively influences salespeople’s listening behavior. The market orientation of the firm positively influences salespeople’s customer orientation, which improves customer satisfaction and trust. This satisfaction improves the manufacturer’s financial performance (Langarak, 2001). However, Guenzi et al (2007) examined the relationship between selling strategy and key account management behaviors and found discrepancies between desired behaviors and actual behaviors. While account managers were able to adopt more customer-oriented selling, teamwork within their own organization was lacking. In summary, the existing research would suggest that the authors should expect to collect comments about the application of experience and knowledge, being able to adapt offerings to customer needs and ethical behavior. The relationship between the salesperson’s behavior and their company’s “customer orientation” might also be a topic for concern. The reason for extensive discussion in this research was to identify other areas of interest and possible connections made by either sales managers or customer decision-makers. Methodology Even though the authors expected to find some sales managers and sales professionals with a comprehensive understanding of more successful sales behaviors such as adaptation to customer needs, with reinforcement from customer comment, it was decided to take an open question approach to allow respondents to explore their perceptions. Academic Article Fall 2007 31 Due to the goodwill required to access companies for in-depth interviews, it was necessary to examine only two industry sectors (manufacturing and information technology) where the authors had contacts, Eighteen separate interviews were conducted with four suppliers: sixteen face-to-face and two by telephone. A further eleven face-toface interviews were conducted with customers of these four suppliers. Key words were extracted from the transcripts and they were collated into six different themes. We have used the terms below to group the responses and then provide scoring of the frequency of use of these words or terms. Semi-structured interviews with open-ended questions were considered appropriate to ensure that in this early stage of investigation, the broad nature of the study and any unseen issues or problems could be uncovered. Thus allowing points which may have been missed to be exposed before any quantitative program is undertaken. Polite, approachable, friendly, professional, helpful, appropriately dressed This exercise provided evidence of both the advantages and disadvantages of qualitative research. While providing depth through extensive responses, it was also clear that terminology around the topic of sales behavior is loosely used. This was good preparation for the quantitative follow-up study, where definitions will be provided. Personal Attributes (P) Communication skills, relationship-builder, problem-solver, team worker. Developing a scoring system and grouping the results Application Ability ( A) It was decided that the best way to capture the successful behaviors was to classify and count the number of times specific behaviors were mentioned. During the analysis of the interviews the researchers noticed that many different words were used or expressed for essentially the same behavior. In addition, some terms like ‘professional’ were used as a “catch-all” for a variety of behaviors. (Ability to apply knowledge and skills to the customer’s situation) Immediate Behaviors (I) (behaviors noticeable within a few minutes of meeting someone) Knowledge Possession (K) Product knowledge, knowledge of the market and industry, knowledge of own firms’ capabilities and services, knowledge of customer’s business. Honesty/integrity, drive, proactive, interested, curious, dependable, enthusiasm, energetic, flexible, motivated, moral, ethical, transparent. Personal Skills( S) Entrepreneurial, able to understand and interpret customer needs, constructs creative solutions. Competencies and Capabilities of the Firm( C) Product and service expertise, technical support, customer service support, good logistics, timely and accurate responses. Vol. 7, No. 4 32 Journal of Selling & Major Account Management The final grouping, ‘Competence and Capabilities of the Firm’, was at first eliminated because it did not emerge as a distinct area in interviews with supplier personnel. However, the responses from customers did refer to the competencies of the firm being instrumental in their impressions of salespeople, so it has been given a place in the analysis. It may be that the supplier respondents regard their company’s capabilities as an implicit underpinning in any discussion of the behaviors and attributes of the sales people. Finally, to allow a direct comparison of the scores for both the supplier and customer groups, percentages of keywords have been used. Research Findings -- Supplier Responses The first behavior focused question posed to the sales managers and sales professionals had them describe the behaviors they expected of their current sales team. Their answers indicated that encompassed immediate behaviors, knowledge, personal attributes, skills and application ability with a focus on personal attributes (29% of mentions) followed by application ability (23%). There was minimal mention of immediate behaviors (8%). When asked how they would define a successful salesperson, there was even more focus on personal attributes (39% of mentions). This was also evident when sales managers and sales professionals were asked to describe their most successful salespeople/colleagues (31% of mentions classified as personal attributes). Knowledge and their ability to Northern Illinois University apply knowledge and skills were scored relatively low (17% and 9% respectively). Another follow-up question about what less effective salespeople lack also showed a focus on personal attributes (42%). When asked about salespeople who had left the company due to lack of success, the highest proportion of descriptors were personal attributes. So, sales managers were consistent across five different questions in correlating personal attributes with sales success. When asked what they felt the customer expected of salespeople, descriptors focused on Applications Ability (24% of mentions) and Competencies and Capabilities of the Firm (27% of mentions). In response to a question about what expectations customers have of employees other than salespeople, the highest proportion of comments (nearly two thirds) was about immediate behaviors. Respondents were asked whether the motivational package for salespeople included anything that was related to behaviors. They all commented that behaviors were discussed in appraisals, but there were no direct rewards tied to behaviors. Of course, “behaviors” are difficult to define, so measurement would also be difficult. In summary, sales managers and sales professionals appear to consistently focus on personal attributes as the main behavior that relates to sales success. Even though this is a limited qualitative study, the tendency for all supplier respondents to rate successful sales people with a high mention of attributes of a personal nature such as honesty, integrity etc. provides face validity to the results. Academic Article In addition, when asked to assume the customer’s point of view, sales managers and salespeople provided different keywords more often. This shift was from personal attributes to company competencies and the salesperson’s application ability. The literature to date suggests that application ability (A) should be correlated with better performance, although the role of personal attributes (P) is also important. Research Findings - Customer Responses The customer decision-makers meet a variety of salespeople on a regular basis. They typically used more keywords than sales managers and sales professionals in d es cr i b i n g t h e i r e x p e c t a t i on s of salespeople. In response to a general opening question about their expectations of salespeople, the responses were spread across a variety of categories, with Knowledge and Personal Attributes attracting 22% of mentions each. When responding to the questions that focused on behaviors, the customers initially focused on Personal Attributes (34% of mentions). The next questions asked about “best” behaviors from salespeople. This resulted in relatively few descriptors, however Application Ability emerged as the prominent behavior (29% of mentions). The customers appreciated the salesperson’s abilities to apply their knowledge and provide benefits that meet their requirements. A follow-up question about the status of the suppliers whose salespeople demonstrated “best” behaviors indicated that they were usually “preferred” suppliers with long-standing relationships. Fall 2007 33 Customers were then asked for actual examples of “best” behaviors. Almost exclusively, they recalled good experiences of a personal nature. The supplier’s sales person had ‘gone the extra mile’ or delivered something to the customers which stood out. For example, a senior IT buyer recalled how a particular salesperson was interested in his personal welfare following a round of cutbacks and redundancies. His humanity was a factor that the buyer remembered. Despite some fond thoughts of salespeople, when describing other supplier personnel, customers commented that they were ‘more professional’ than the sales people and that their advice was likely to be more factual than that from other salespeople. Two respondents quoted that they found it difficult to believe that a sales person on a bonus or commission could give honest and objective advice. When comparing supplier and customer responses, it is interesting that when the customers were asked about best behaviors in general, their interest in application ability was in line with sales managers’ interpretation of their views, but when asked for examples of best behavior, they focused on demonstration of personal attributes. Overall, customers seemed to have a broad range of expectations of salespeople. Given the literature to date, the focus on application ability was consistent with what we know to date about sales behaviors associated with better sales performance. However, the “in extremis” need for personal commitment from the salesperson was an interesting and thought-provoking angle in the responses. Vol. 7, No. 4 34 Journal of Selling & Major Account Management Discussion It was immediately apparent, both on listening to the recordings and reading the transcripts that there is much confusion in both the supplier and customer groups of understanding and usage of the words behaviors, qualities, attributes, knowledge and skills. Questions about “behavior” solicited responses including references to factual knowledge and communication skills. Dictionary definitions of “behavior” suggest it is the manner in which people control themselves, the way in which they respond to stimuli. Customers commented that the initial appearance and manner of the first or early meetings with the sales person is important (what the authors classified as ‘immediate’ behaviors). Poor “immediate behaviors” on first meeting would make it difficult for a sales person to begin a successful call or relationship. In the perception of respondents, “behavior” also encompasses the way that, over time, a salesperson demonstrated their knowledge, skills and qualities, and how they apply them. In order to capture all the themes emerging from these discussions, the following diagram is provided to help illustrate the breadth of “sales behavior”. It appears that the acceptance by the customer of good “immediate behavior” at an initial meeting allows the sales person to successfully pass onto the next stage. From the responses, it is clear that customers think that the knowledge, skills and personal attributes of the salesperson are important, and that they would expect demonstration of these attributes within a fairly short period of time. There seems to be a message from customer responses that “best” sales behavior involves Proposed Model Time Seconds/minutes Minutes/hours/days Hours/days/months Immediate behaviors Skills Skills Application of Knowledge Knowledge Knowledge, ApplicationSkills of andSkills and Knowledge, PA to Customer Needs Personal Attributes to Customer Needs Personal Attributes Personal Attributes Competences & Capabilities Northern Illinois University Academic Article the sales person demonstrating their ability to apply knowledge, skills, and personal attributes, to solve the customer’s problem. This, arguably, is underpinned by the core capabilities and competencies of the firm which customers expect to follow through from the salesperson’s activity. There seems to be a degree of co-dependency between these six factors of success. Thus there might be a comprehensive approach to training or coaching successful sales behaviors. Recommendations and Further Research This exploratory research has identified that there is confusion among respondents from both supplier and customer organizations about what a behavior is, how good behavior from sales people is judged and how good behaviors can be linked to measurable success. This study has used in-depth interviews to discover how sales professionals and sales managers and customers express their requirements and expectations, it has given us some pointers and food for thought, but the subject needs to be tested in a larger, closely defined quantitative study. The authors are approaching professional institutes representing salespeople as well as purchasing decision-makers in the UK to achieve this end. References Churchill Jr., A., Ford, N. M., Hartley, S. W. and Walker Jr., O. C. (1985) “The Determinants of Salesperson Performance: A Meta-Analysis”, Journal of Marketing Research, May 1985, Vol. 22, Issue 2, pp. 103-118. Fall 2007 35 Cummings, B. (2001), “Do Customers Hate Salespeople?”, Sales and Marketing Management, June 2001, Vol. 153, Issue 6, pp. 44-51. Guenzi, P., Pardo, C. and Georges L. (2007), “Relational selling strategy and key account managers’ relationship behaviors: An exploratory study”, Industrial Marketing Management, Vol. 36, pp. 121-133. Langerak, F. (2001), “Effects of marketing orientation on the behaviors of salesperson and purchasers, channel relationships, and performance of manufacturers”, International Journal of Research in Marketing, Vol. 18, pp. 221-234. Park, J-E. and Holloway, B. (2003), “Adaptive selling behavior revisited: an empirical examination of learning orientation, sales performance and job satisfaction”, Journal of Personal Selling and Sales Management, Vol. 23, No. 3, pp. 239-251. Reid, D. A., Plank, R. E. and Minton, A. P. (1997), “Industrial buyers’ assessment of sales behaviors”, Journal of Marketing Management, Vol. 7, Issue 1, pp. 1-13. Roman, S., Ruiz, S. and Munuera, J. L. (2005), “The influence of the compensation system and personal variables on a salesperson’s effective listening behavior”, Journal of Marketing Management, Vol. 25, pp. 205-230. Roman, S, and Ruiz, S, (2005), “Relationship outcomes of perceived ethical sales behavior: the customer’s perspective”, Journal of Business Research, Vol. 58, pp. 439-445. Vol. 7, No. 4 36 Journal of Selling & Major Account Management Thomas B, Mitchell S and Del Rossa J (2007), “Sales: strategic partnership or necessary evil? 2007-2008 Global sales perceptions report”, Development Dimensions International, Pittsburgh Trawick, I. F., Swan, J. E., McGee, G. W. and Rink, D. R. (1991), “Influence of buyer ethics and salesperson behavior on intention to choose a supplier”, Journal of the Academy of Marketing Science, Winter 1991, Vol. 19, Issue 1, pp. 17-24. Walker Jr., O. C., Churchill Jr., G. A. and Ford, N. M. (1977), “Motivation and Performance in Industrial Selling: Present Knowledge and Needed Research”, Journal of Marketing Research, May 1977, Vol. 14, Issue 2, pp. 156-168. Weitz, B. A., Sujan,H. and Sujan, M. (1986) “Knowledge, Motivation, and Adaptive Behavior: A Framework for Improving Selling Effectiveness”, Journal of Marketing, October 1986, Vol. 50, Issue 4, pp. 174-191. Peter Brent is a partner of Mathieson Brent, which offers integrated sales and marketing consultancy to B2B companies in a variety of sectors. He has over 30 years marketing and sales experience in substantial companies such as Kodak, Letraset, W R Grace and, most recently, as Sales Director of a division of National Starch & Chemical. Beth Rogers runs the MA Sales Management at Portsmouth Business School. She also chairs the UK National Sales Board. She has a sales and marketing background in the IT industry. Her book “Rethinking sales Northern Illinois University management” reached the amazon.com top ten “hot new releases” in its category in September 2007. Academic Article Fall 2007 37 Table 1. Summary of supplier outlook Immediate Knowledge behaviors Personal Attributes Personal skills Application skills Companywide capabilities General expectations 8% 20% 29% 20% 23% Successful salesperson 2% 9% 39% 28% 22% Most successful 14% 17% 31% 29% 9% What less effective lack 8% 17% 42% 29% 4% What customers expect 5% 17% 22% 5% 24% 27% Personal Attributes Personal Application skills Companywide Table 2. Summary of customer outlook Immediate Knowledge behaviors skills capabilities General expectations 9% 22% 22% 18% 16% 13% Expected behaviors 19% 15% 34% 13% 17% 2% 12% 21% 25% 29% 13% Best behaviors Vol. 7, No. 4 38 Journal of Selling & Major Account Management The Impact of Stigma: Negative Stereotypes of Salespeople By Vinita Sangtani and John Andy Wood This study investigates the managerial implications of customers’ negative stereotyping (stigmatization) of the sales position. The importance of this research develops out of findings that an individual’s awareness (stigma-consciousness) of the negative views of salient reference groups can have deleterious consequences. Evidence from this field study of 190 automobile salespeople indicates they are aware of being stigmatized and that this awareness decreases their effort and performance. Managerially, the study finds that individualized managerial support can mitigate the negative impact of stigmatization of the sales role. Recent polls suggest that the public continues to hold a dim view of the sales profession and to rate commissioned salespeople as dishonest and unethical (Gallup 2006). The public views these commissioned salespeople as fast-talking, pushy, and insincere (Butler 1996). The occupation of automobile sales, in particular, has the dubious distinction of being rated as the least honest, ethical, or trustworthy (Jones et al. 1996). It is likely that the negative societal view of the sales role has reached levels at which one could construe a stigma being attached to it. A stigma is “an association with a particular attribute that identifies it as different and deviant, flawed or undesirable” (Kasperson et al. 2001). For salespeople, it is not the product or service being sold but the sales role that is stigmatized. In addition, evidence indicates that automobile salespeople are aware of their profession being the target of stigmatization, i.e., labeling and stereotyping, along with the associated loss of status (Link and Phelan 2001). This low evaluation of the sales role presents an interesting dilemma for salespeople according to differential association theory (Leonard et al. 1999) and classic sales motivation theory (Walker et al. Northern Illinois University 1977). This dilemma occurs because in commission-based sales positions extrinsic motivation through compensation is inextricably linked to interaction with the customer holding the negative view about the sales role. Using data from commission-compensated salespeople from the highly stigmatized automobile sales profession, this study empirically examines the impact of salespersons’ awareness of the stigma associated with their work roles on effort and performance. We propose that this impact is particularly evident in jobs where the firm’s compensation plan for salespeople is based solely on commissions. While a company’s compensation plan is a key determinant of a salesperson’s effort (Brown et al. 2005), a commission-based plan exacerbates an already low opinion that customers have of salespeople. Sales managers, who choose not to change the compensation plan, need guidance on whether good management can mitigate this negative influence. Accordingly, this study concludes by examining the mediating effects of individualized management support on the effects of stigma awareness upon sales effort. Academic Article BACKGROUND Based upon expectancy theory which underlies the Churchill/Ford/Walker framework (Johnston and Marshall 2003), a firm’s compensation structure, regardless of type, influences, through instrumentality (a probability estimate made by the salesperson that performance leads to reward) of the salesperson, the motivation to expend effort. These estimates will have higher probabilities when “salespeople are compensated solely or partly by commissions” (Walker et al. 1977 p. 165). Beyond an unspecific group of personal or organizational variables, the other direct antecedent of instrumentality is a salesperson’s role perception. More specifically, these role perceptions are seen as the accuracy with which the salesperson understands the linkages between performance and rewards, such as, understanding that compensation is directly tied to transactions. Role accuracy also influences expectancies (probability estimates about effort leading to performance) such as, courteous behavior increases the chances of a successful sale. Many perceptions of salespeople about their sales role come from ‘role partners’ (Johnston and Marshall 2003). These partners communicate their expectations about the sales role. Evidence indicates one such role partner is the sales manager who can have a positive mediating influence between a salesperson's effort and performance (Boles et al. 1997; Brashear et al. 2003) through managing role expectations. However, these findings about managerial support are limited by a paucity of investigations into the Fall 2007 39 influence of sales management on effort and performance in commission-based compensation systems. This limitation is likely a development of the stream of research based upon the Anderson and Oliver (1987) framework. The AO framework provides several alternative theories to explain salary or behavior-based compensation systems as more motivating of salespeople. Some support has been found to indicate that salary-based compensation coupled with behavior-based control leads to increases in sales effort and ultimately the performance of salespeople (Cravens et al. 1993; Oliver and Anderson 1994). Subsequently, most recent sales research focuses on behavior-based control systems (Baldauf et al. 2005). Little additional research seemed necessary as salespeople fully compensated by commission are conceptually, agents, and under agency theory, are extrinsically motivated by monetary reward (Ghosh and John 2000). We suggest, as do Cravens et al. (1993), that the outcomes of the choice of compensation structure are more complex, especially when considered along with role perceptions of salespeople. This being said, after choosing commission-based compensation along with its specific structure, sales management’s options to motivate are seemingly limited. This is because, even though Oliver and Anderson (1994) explicitly viewed compensation directly tied to sales or profits as only a part of an outcome-based control system, they note the importance of commissions in practice: “under such a system, the invisible hand of the marketplace Vol. 7, No. 4 40 Journal of Selling & Major Account Management pressures salespeople to perform and guides their actions” (Anderson and Oliver 1987 p. 76). Thus in the AO framework, salespeople primarily compensated by commissions are, at a conceptual level, controlled by the marketplace and not by their managers. However, we suggest, even though the choice of commission-based compensation guides salespersons to exert effort at tasks they view as necessary to achieve the sale, the role of management is not eliminated. Under the C h u r c h i l l / F o r d / W al k e r f r am e w o r k , management can indirectly influence motivation by influencing role accuracy perceptions. Managers, as role partners, can and do influence instrumentality and expectancy estimates that lead to effort to achieve the monetary reward. However, before establishing the influence of managers, it is important to first establish that salespeople do perceive that their efforts will directly lead to increased performance. We test this in the first hypothesis. H1: A salesperson’s perceived effort is positively related to the salesperson’s self-reported performance. Stigma and Effort One management challenge that develops under outcome-based compensation systems is to maintain sale’s focus on completing the transaction while keeping a customer orientation. The literature has seen extensive examination of the effect of salesperson orientation on completing the sales task (Periatt et al. 2004). In the expectancy framework, salespersons will expend effort on Northern Illinois University those tasks that they believe increase the probability of a successful sales transaction. Customer-oriented salespeople see that their efforts in taking care of the customer will lead to completion of the transaction (Saxe and Weitz 1982). Other salespeople may favor expending effort on other actions, such as deception, that they believe will enhance the probability of a successful transaction and thus earn their commission. These latter salespeople engage in behaviors that accomplish the goal regardless of customer interests. It is likely that part of the stigma associated with commission-based salespeople stems from the actions of a group that unscrupulously engages in any behavior that completes the transaction. However, under certain conditions, even salespersons with an initial customer focus may find that the commission-based compensation system negatively influences their effort and performance. This can occur because, as noted in differential association theory, the customer becomes a member of a critical reference group or a role partner (Leonard et al. 1999). The customer’s opinions and words will influence the salesperson's social identity, role perceptions, and motivation. Evidence suggests that when a salient reference group, such as the customer to the salesperson, holds significant negative views of the salesperson, this condition will negatively influence the salesperson’s work motivation and effort (Leonard et al. 1999) This occurs when salespeople perceive their interactions with customers to be affected by the stereotyping (Pinel 2004). Academic Article Many commission-compensated salespeople may feel they are left with only two choices. They may perceive that they are stigmatized and discount the likelihood of a successful sale outcome as a consequence of the stigma associated with their sales position. This choice leads to lower effort. The second choice is to discount or ignore the opinions of the customer and focus on completing the transaction. This strategy may lead to increases in negative opinions as customers perceive the salesperson is unconcerned with their needs. As we suggest next, eventually this leads to negative stereotyping of this category of salespeople or the stigmatization of commission-based sales. Our understanding of stigmas, as a condition that influences interpersonal interactions, comes from the social sciences in general and marketing in particular (Adkins and Ozanne 2005; Link and Phelan 2001). While a consensus definition of stigmatization is elusive, we propose that stigmatization is the categorization of the sales role into a stereotyped group and refers to patterns of social rejection. Most stigma frameworks (Adkins and Ozanne 2005; Link and Phelan 2001) embrace a social explanation for rejection. Signs of stigmatization include existence of an outward indicator of class, negative connotations attached to the stereotyped category, and wide dissemination of the stigma through popular media. An additional component of stigmatization is that the target of this stereotyping must be aware of the negative categorization for it to have an impact on self-image (Oyserman and Swim 2001). It is likely that automobile Fall 2007 41 salespeople are aware of the negative societal connotations associated with their profession. Some evidence of this awareness is provided by salespeople’s widespread use of euphemisms for their profession such as ‘account manager’ or ‘problem solver’ in order to cast the profession in a more positive light (Blitzer 1994). A salesperson may or may not react to the stigma depending upon their choices outlined above. They may ignore customers and their opinions, in which case the stigmatization does not matter. Alternatively, the salesperson may maintain a customer orientation. Then, the salesperson’s perception of stigmatization is likely to be a significant influence on the effort expended since the negative categorization comes from the role referent customer. Stigma consciousness theories suggest that awareness of stigmatization prevents the target of the stigma from “push(ing) themselves to excel in that domain” (Pinel et al. 2005 p. 486). In a similar vein, Bussey and Bandura (1999) maintain that targets of the stigma may lower their effort. This effect leads to our second hypothesis: H2: A salesperson’s stigma-consciousness is inversely related to the salesperson’s self-reported effort. Manager Support As boundary spanners, salespeople must try to satisfy both, customers and the company, which can cause role conflict for the salesperson (Bagozzi 1980; Johlke and Duhan 2001; Singh 1993). In addition, having to face constant rejection in selling, salespeople have Vol. 7, No. 4 42 Journal of Selling & Major Account Management Figure 1: Mediating Role of Effort and Manager Support H2: negative Stigma-consciousness H1: positive Effort Performance Managers Support to be self-motivated in order to be successful (Rich 1999). Self-guidance is particularly important for commission-compensated salespeople. Under outcome-based compensation control and according to the agency theory perspective, this internal assurance is not likely to be bolstered by the sales manager. However, the sales manager plays a critical role in the salesperson’s performance in building skills through coaching and training. In this role the sales manager is another critical referent source that influences the salesperson’s perceptions about work (Leonard et al. 1999). Managers can also exert influence by providing individualized support by way of personalized attention and by being empathetic to the feelings of the salesperson. Personal support by managers, according to Dubinsky (1999), refers to personal attention given to salespersons in individual interactions and showing concern for their well-being as well as their professional development. This support provided by the sales manager can contribute Northern Illinois University to the salesperson’s successful performance of the expected work roles (Johlke and Duhan 2001). In this model, because of the inclusion of stigma, we suggest that managerial support indirectly influences the salesperson’s perceptions of performance and more directly influences the perceived effort exerted by the salesperson. As our discussion in the previous two hypotheses indicates, research shows that the relationship between managerial support and effort is reciprocal, i.e., managerial support can increase effort and vice versa (c.f. Luk and Shaffer 2005; Johlke and Duhan 2001). Thus, we expect managerial support to mediate the internal assessment processes of the salesperson. Managerial support, even in an outcome-based control system, can mediate and decrease the influence of stigmatization on effort. Accordingly, we hypothesize: H3: Sales manager support will mediate the negative influence of stigma-consciousness on self-reported effort. Academic Article METHODOLOGY Sample and Survey Procedures We began the data collection by identifying an industry with a highly stigmatized sales role. Evidence suggests that commissioncompensated sales people, such as automobile salespeople, are stigmatized as having low integrity or morals and being untrustworthy (Bernstein 2003). Other researchers note that automobile salespeople are generally held in contempt (Felcher 1995). A Gallup poll even reported that car sales were perceived as the least ethical profession (Butler 1996) to the extent that “they only fare better than murderers” (Joetan and Kleiner 2004 p. 49). The automotive sales industry provides a good context in which to test our hypotheses. The sample was drawn from twenty-seven different dealerships located in the southern United States. As part of the research project, students of a marketing research class at a regional university handed out questionnaires to salespersons in different automobile dealerships in four cities/towns within 100 miles of each other. Prior permission and support came from general managers of the dealerships. The questionnaires were dropped off and then picked up over a period of 10 working days. Of the three hundred questionnaires handed out, 193 were returned of which 190 were completed, yielding a response rate of 63%. Instructors followed up with sales managers to verify student data collection methods. Ninety-one percent of the sample was comprised by males and 9% by females. This distribution is not surprising as the incidence of women in automobile sales is very low Fall 2007 43 nationwide. The male respondents had been automobile salespeople for an average of 8.1 years while the females’ tenure averaged 8.5 years with an overall median of six years. The salespeople had been with their current dealership an average of 5.25 years with a median of three years and overall sales experience of 11.5 years with a median of eight years. Other demographic distributions of the sample are in table 1. Measurement The measurement instrument used scales that have been validated in the marketing literature. The exception is the stigma scale, which, to the best of our knowledge, is new to the sales literature (Pinel et al. 2005). Consequently, we drew on the social psychology literature for this scale (Pinel 2005). All final scales had multiple items and summated scores were created for the final analysis. Confirmatory Factor Analysis (CFA) indicated the scales had acceptable psychometric properties. The final measures are listed in appendix 1, and the operational definitions used to measure the constructs are detailed in the following with reliabilities reflected by Cronbach alpha in parentheses. Stigma (0.75): This construct is measured by Pinel’s (1999) consciousness scale as modified by Wildermuth (2004). This scale measures awareness of a stigma. In this study’s context, the extent to which respondents perceive themselves as stereotyped as typical automobile salespeople by customers as well as the extent to which they perceive that the stereotyping affected their interactions with others in their nonprofessional life. According to Pinel et al. (2005), high stigma Vol. 7, No. 4 44 Journal of Selling & Major Account Management Table 1 Distribution of Sample Demographics 40.00% 30.00% 20.00% 10.00% 0.00% 1 2 3 Categories 4 Age Income Years in Sales Years in Auto Sales 5 Years in Auto Sales with this Dealer Category Range Age 25 years and under 26 -35 36 - 45 46 - 55 56 years and greater Income $20,000 and under 1 year and under 1 year and under 1 year and under $20,001$40,000 Greater than 1 to 5 years Greater than 1 to 5 years Greater than 1 to 5 years $40,001$60,000 Greater than 5 to10 years Greater than 5 to10 years Greater than 5 to10 years $60,000$80,000 Greater than 10 to15 yrs. Greater than 10 to15 yrs. Greater than 10 to15 yrs. $80,001 and greater Greater than 15 years Greater than 15 years Greater than 15 years Years in Sales Years in Auto Sales Years in Auto Sales with this Dealer consciousness affects interactions of target group members, in this case automobile salespersons, with those not belonging to the target group. The five items in Appendix 1 were used for the analysis. Manager Support (0.92): Individualized manager support reflected the sales manager’s respect and “concern about their (the Northern Illinois University salespersons’) personal feelings and needs,” (Rich 1999 p.55). This direct support for the individual is measured by five items. Effort (0.87): Measures of the salesperson’s effort can incorporate self-evaluation or external supervisory indicators. As stigma is likely to affect self-reported effort or performance, those types of indicators are used. The five items used by Dixon et al. Academic Article Fall 2007 (2001) to measure salespeople’s effort attribution measured the effort of salespeople in this study. Performance (0.93): Sujan et al’s (1994) seven item performance scale reflects salespeople’s evaluation of their attainment of company objectives. It captures subjective comparisons of their performance with that of colleagues’. Adaptations were made to capture the automobile sales context with the final scale having the eight items listed in appendix 1. RESULTS As anticipated, salespersons’ perceptions of their effort are positively related to their self-reported performance. Regressing performance on effort indicates support for hypothesis one as the beta coefficient of .178 is statistically significant at p<.05 (see Table 2). So these salespeople do seem to understand the positive linkage 45 between their effort and their performance. Also as anticipated, salespeople’s perceptions of a stigma do significantly and negatively influence perceptions of effort. As indicated in Table 2, there is support for hypothesis two as the beta coefficient is -.26. The t-value of the test of statistical significance is 3.696 with p < .05. Given the support for the first two hypotheses, this analysis next examines hypothesis three, which proposes that perceptions of managerial support mediate the effect of stigmatization on effort. Following the heuristic of Baron and Kenny (1986), evidence that managerial support mediates the effect of stigmaconsciousness on effort is provided by including both stigma-consciousness and managerial support as antecedents in a model that predicts effort. If the strength of the relationship of stigma-consciousness Table 2: Outcomes of the Series of Linear Regressions Hypo thesis Relationship Stand . Beta tvalue* .178 2.485 6.173 .027 -.260 3.696 13.659 .063 .183 2.552 6.513 .028 -.255 3.610 13.026 .060 -.178 -8.435 7.171 .072 .094 4.455 at the .05 level H1 Effort Performance H2 Stigma Effort H3 Preconditions for test of mediation Manager Support Effort H3 Stigma Stigma Stigma Manager Support Manager Support Effort Manager Support F-statistic for the model Adjusted R Square Effort Effort * t greater than or equal to 2 is significant Vol. 7, No. 4 46 Journal of Selling & Major Account Management on effort is less in this new model than in the model with only stigma-consciousness as a predictor of effort, mediation is indicated. This heuristic assumes three preconditions (as described next) are met. Testing for the mediating effect of management support, begins by establishing that manager support is a significant predictor of effort with a positive relationship. Support is found for this as the beta coefficient of .138 for the regression of effort on manager support is significantly different from zero with a t-value of 2.552 and p < .05. It was also found that stigma-consciousness negatively influences perceptions of managerial support with the beta significant at -.265. The third regression for the test of mediation, effort regressed on stigma, is covered in hypothesis two (b = -.260; t = 3.7). All assumptions of the tests of mediation are met. Next, the examination of the mediating effect of managerial support on stigma’s influence on effort begins with a model including both antecedent variables. The stigma – effort relationship remains statistically significant in this model with the beta decreasing to -.178 (using Sobel's formula; t = – 8.44, p < .05). The manager support – effort relationship also remains statistically significant with a beta of .094. The t-value for this test of the departure from zero is significant at 4.46 and p < .05. These results provide support for hypothesis three that managerial support mediates and decreases the negative effect of perceptions of stigma on salesperson’s self-reported effort. Northern Illinois University DISCUSSION AND MANAGERIAL RECOMMENDATIONS Stigmatization or perceived stereotyping of groups has been extensively studied in the social sciences literature. That a stigma exists about the sales profession is supported by the popular press articles and polls previously cited, which indicate that the sales profession and automobile sales in particular, are held in low regard. Our empirical results indicate salespeople are aware of the societal stigmatization of the automobile sales profession. Managers need to be aware of this stigmatization and its implications that the awareness of this stigma negatively influences a salesperson’s self-reported effort and performance. As found in previous research (Pinel et al. 2005), it is likely the societal view of salespeople is skewed and more negative than is warranted. As is the case with many stereotyping classification systems, the caricature of Willy Loman as a typical salesperson (Butler 1996) may be inaccurate and unfair, but is also prevalent. The contribution of this paper is neither to justify nor to debunk the stigmatization of salespeople. Rather, consistent with other social science research, this study provides evidence of a strong correlation between elevated levels of stigma consciousness and inferior levels of performance (Pinel et al. 2005). While it is possible that society’s negative view of salespeople is exaggerated, it is also possible that some ‘sales oriented’ salespeople are responsible for these views. It is likely that unethical salespeople are present in any Academic Article compensation system. However, given the outcome-based versus process-based control system, it is likely that unscrupulous individuals looking for low control may self select the commission-based compensation system. This self selection leads to a higher proportion of ‘sales oriented’ and/or opportunistic individuals in outcome-based compensation systems. Management is faced with the dilemma of avoiding outcome-based compensation or accepting the possibility that customers will have some negative views about the sales role. This study suggests other options to management for avoiding unethical behaviors and resultant stigmatization beyond using outcome-based compensation. As we outline next, an integrated series of sales management practices could alleviate some of the more deleterious consequences of stigmatization of the sales profession. Our first recommendation is that managers should not ignore or discount the possibility that a stigma is associated with their firm’s sales positions. When using commission-based sales compensation, it is important to determine if your sales people feel customers hold negative views about the sales position. Care should be taken to ensure that the salespeople are expressing their opinion about the position and not customer opinions about them as individuals. It is quite possible that the salesperson could reason that the customer doesn’t hold a positive opinion of the sales role but thinks quite highly of them. The questions included in the stigma scale, in the appendix to this paper, are a good guide to the questions a manager should ask of sales people. Fall 2007 47 Sales managers can confirm the influence of stigma consciousness by querying their salespeople about the sales process. Managers should seek to identify any role inaccuracies that may be the result of stigmatization. Managers should look for inaccurate estimates of the amount and types of effort necessary to achieve a successful transaction. Managers should also look for inaccuracies in estimates of the reward achieved for a successful sale. A salesperson that overestimates the effort required to complete a sale or incorrectly estimated the reward earned by a sale that has also expressed stigma-consciousness indicates a problem. The second step for the manager is to determine if, in the aggregate, there are enough salespeople aware of customer stigmatization. Managers are cautioned to remember that not all salespeople will express awareness of the stigma even if it exists. Salespeople have coping mechanisms to deal with the stigma and thus may not exhibit a consciousness of the stigma. A cautionary note about one coping mechanism is in order. A focused qualitative study found that some automobile salespeople cope by reversing the roles and stigmatizing the customers as the inferior group with negative characteristics (Felcher 1995). This particular coping mechanism may require extensive retraining to avoid it devolving into deceitful and opportunistic behaviors. For the sales manager, the most important group is the salespeople that express an awareness of the stigma. The results of this study indicate that managers can mediate the effects of stigmatization on effort. The key is Vol. 7, No. 4 48 Journal of Selling & Major Account Management in recognizing that stigma applies to the sales role and not the individual. Again looking at the appendix at the end of the paper (see the items measuring manager support), one sees the emphasis is upon supporting the individual and not the sales task. Managers need to acknowledge the stigma but point out that it is not personally directed. Management does not need to expend efforts on building up the sales role. Rather, managers should focus on the individual. Management effort to spend time with each salesperson individually (the management literature often cites three times a week) as opposed to time spent in group meetings will have benefits. Coupling this management time with individualized training in coping techniques will lead to extensive improvements in effort. Measuring the success of management support is also relatively simple. The effect of management intervention should become evident through more accurate role perceptions. Salespeople’s estimates of the probability of success based on effort should become more closely aligned with the firm’s experience. Similarly, accuracy in role perceptions will be indicated by how close the salesperson’s estimate of the specific reward from a successful sale is to the company’s actual calculation of compensation. Thus, managers can query the salespeople both before about their role accuracy as a diagnostic of potential problems and after some management intervention for indications of successful mediation. Another possible implication of stigmatization is its consequence on effort. Low motivation to exert sales effort will have a negative impact Northern Illinois University on performance. Pinel et al (2005) suggest that the decrease in effort by highly stigma-conscious people might occur due to “psychological disengagement,” a process of distancing the self from the domain in which the stigmatization is experienced. This disengagement may be a partial explanation for the high voluntary turnover of automobile salespeople. A cycle of low estimates about obtaining the commission followed by low success rates creates the self-fulfilling expectancy leading ultimately to low income. Management engagement might break this cycle and decrease turnover. As a final recommendation, management can help salespeople disconfirm the customer’s expected stereotype. First impressions can confirm or disconfirm expectations and these begin with the introduction of the customer and salesperson (Wood 2006). Educating salespeople on the appropriate display of initial nonverbal signals can have a huge impact on the balance of the customer/ salesperson interaction. Handshakes, eye contact, and genuine smiles begin the relationship on a positive note and are more than a formality. Managers should be aware of the impact of these displays and role play with their salespeople to practice non-verbals. This training is an example of the individualized attention mentioned above. LIM IT AT ION S RESEARCH AND F U T UR E This research just scratches the surface of a neglected area in the sales literature, namely the effect of society's negative stereotyping of the sales profession. Because this research uses automobile salespeople in a deliberate Academic Article attempt to maximize stigmatization and to maintain a commission-based compensation context, caution should prevail when drawing any broad conclusions. However, this research is an extension of an established framework of motivated salespeople expending more effort which leads to increases in performance. The paper contributes to our understanding of motivation by finding stigmatization impedes this effort. Of course, other factors such as salespeople’s personal characteristics, experience with selling, and/or the type of selling situation also influence the motivation-effort-performance model and the deliberate exclusion of positive influences is a limitation of this study. This limitation could be alleviated by additional research. In addition, while it appears likely that regardless of compensation structure the presence of stigma may negatively influence sales effort and performance, investigation of this conclusion needs to continue. Extensions of this line of research are imperative, as it is not likely that the negative opinions of salespeople will disappear any time soon. Another fruitful line of investigation would be to see if salespeople were conscious of the stigma prior to starting the job. Future longitudinal studies would investigate if the levels of stigma consciousness had changed since starting employment. Research might reveal additional factors that mediate the influence of the stigmatization. However, since the salespeople in our sample had been at their current dealership for an average of over five years, their tenure would likely have Fall 2007 49 biased their previous recollections of stigma; consequently, we did not measure their stigma consciousness prior to entering the profession. Despite these various shortcomings it is clear that managers can mediate the effect of stigma. This managerial influence upon fully commissioned salespeople is another under explored area in the literature. The implication that sales positions that primarily rely upon monetary rewards for motivation can also motivate sales effort by 'soft' factors suggest a hybrid system of control where the influences of monetary rewards are monitored by managers. Research into such hybrid systems is likely to be fruitful. Finally, this research needs to extend into different contexts, such as, services or business to business sales. REFRENCES Adkins, Natalie Ross and Julie L. Ozanne (2005), "The Low Literate Consumer," Journal of Consumer Research, 32 (2), 93-105. Anderson, Erin and Richard L. Oliver (1987), "Perspectives on Behavior-Based Versus Outcome-Based Salesforce Control Systems," Journal of Marketing, 51 (October), 76-88. Bagozzi, Richard P. 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Vinita Sangtani (Ph.D. Georgia State University) Assistant Professor of Marketing Department of Management & Marketing Nicholls State University Vinita.Sangtani@nicholls.edu John Andy Wood (Ph.D. Georgia State University) Assistant Professor of Marketing College of Business and Economic West Virginia University jawood@mail.wvu.edu Vol. 7, No. 4 52 Journal of Selling & Major Account Management APPENDIX 1 Measures Performance (Sujan, Weitz and Kumar 1994): 1. At contributing to my dealerships acquisition of market share 2. At selling high profit margin products 3. At generating a high volume of sales dollars 4. At quickly generating sales of new additions to my dealerships inventory 5. At correctly identifying prospects 6. At converting prospects to customers 7. At exceeding sales targets 8. At assisting the sales manager at achieving his or her goals Manager Support (Rich 1999): 1. Demonstrates he/she genuinely cares about me 2. Shows respect for my individual needs 3. Shows respect for my individual feelings 4. Usually trusts me to do the right thing 5. Treats me like a real person, not a subordinate Stigma Pinel (1999), Wildermuth (2004), Pinel (2004), and Pinel et al. (2005): 1. Stereotypes about automobile salespersons have not affected me personally 2. I never worry that my behaviors will be viewed as stereotypically that of an automobile salesperson 3. Most of my friends do not judge me on the basis of being an automobile salesperson 4. It never crossed my mind that my profession is any less than other professions 5. When others speak disapprovingly of automobile salespersons, I criticize myself about being one. Effort (Dixon, Spiro, Jamil 2001): 1. I worked hard and it paid off 2. I tried very hard to make this sale 3. I put in a lot of effort in this sale 4. I put in the time needed to make the sale 5. I gave the effort needed to make the sale Northern Illinois University Application Article Fall 2007 53 The Certified Sales Professional: Has the Time Finally Arrived? By Neil Rackham It’s not a new idea. For more than a century there have been voices crying in the wilderness saying that the time has finally come for sales to be a profession; time for salespeople to have recognized standards and qualifications like lawyers, accountants and other professionals. I’m a professor, so forgive me a brief history lesson here. The earliest reference I know to professional selling comes from the Society of Commercial Travelers in the mid 1880s: “If we do not strive for the professional respect accorded to other occupations of substance and worth, then the world shall judge us no better than peddlers and rogues”.¹ In keeping with its time, the concern here was more about character than competence. Many societies and associations were established in the last quarter of the 19th century to promote the sales profession, both in the United States and Europe. Most of these, such as the Order of United Commercial Travelers, stressed moral character and temperance in keeping with the values of the Victorian era. (Their initials, U.C.T., doubled on their Order badges and buttons for Unity, Charity and Temperance). The only one of these societies to have escaped oblivion is the Gideon's, of hotel bible fame. I was fascinated to find that it was originally founded to “eliminate drinking, gambling, dirty jokes, Sunday trading and other ‘forms of temptation peculiar to traveling [sales]men’”.² I bet that’s one piece of sales history you didn’t know. But a profession is more than upright morals and temperance. In the age of Enron, we understand all too well that while competence can be measured, certified, tested and assured, certification of integrity is another matter entirely. As a result, these early attempts did little to genuinely advance the standing of professional selling. The First Sales Certifications A new approach to professionalism based on demonstrated competence was introduced in 1893 by John Patterson, founder of National Cash Register. He certified his growing sales force based on their knowledge and application of The NCR Primer and its companion volume, The Book of Arguments. These remarkable sales manuals included every tiny detail of the sales process, down to the smallest gesture of a finger. Patterson held certification camps where his salespeople had to demonstrate their mastery of every item. Those that failed to meet his exacting standards, however good their sales figures, found themselves looking for work elsewhere. Despite the efforts of Patterson and others like him, the idea of professional selling in the early part of the twentieth century was little more than hope and good intentions. The problem was that certification was based on ¹Commercial Travelers’ Magazine, Autumn 1884 ²Spears, 100 Years on the Road: The Traveling Salesman in American Culture, Yale University Press, 1995 Vol. 7, No. 4 54 Journal of Selling & Major Account Management rigid scripts and prescriptions. There was no evidence that a certified salesperson was more effective as a result of the effort. Indeed, Patterson fired high performers who didn’t conform to his theories. Slow Progress But, with each passing year, the field of sales was making some progress. In 1932 Russell and Beach³ wrote: Even though salesmanship may not have attained the status of an exact science, it is steadily approaching the idea of a profession. . . . Some enthusiastic proponents claim that it is the greatest profession of them all, on the grounds that it requires the real salesman to be as carefully and broadly trained as any who claim professional status. This is doubtless an exaggeration as yet. Many progressive employers and trainers of salesmen are working towards the goal of establishing a definite course of study which, when completed satisfactorily, will place the graduate on the same plane as the holder of a Certified Public Accountant’s certificate.” A Recurring Theme It’s now 75 years since these words were written. I’m horrified to confess that for half of that time I’ve been studying sales for a living. During my career, the idea of professional certification for salespeople has come up over and over again with predictable regularity. Approximately every five years it erupts like the Old Faithful geyser in Yellowstone Park. There’s a gush of interest, a lot of noise and steam and then everything goes dormant until the next eruption. By my calculation, the next plume of quinquennial enthusiasm is due very soon. Will it be different this time? Is the certified sales professional an idea whose time has finally come? I think so, and here’s why. A Perfect Storm Selling has become significantly more sophisticated during the last ten years. It wasn’t so long ago that I would fall down laughing when people talked of “sales strategy”, knowing that what they really meant was simple tactics ruthlessly executed. That’s not the case today. The wrong sales strategy – or a lack of strategy – can lose an account or even sink a business. It’s a pity that we still use the word “selling” to describe what it takes to manage today’s relationships with key customers. Key account selling has become a complex and demanding professional process. But it’s not just the natural evolution of highend selling that makes me believe that we need to take a fresh look at the idea of certified sales professionals. We’re caught in a perfect storm – at the intersection of three significant business trends that are changing the world of selling. The Focus on Organic Growth The first of these trends is the new top management attention to sales growth. Ten years ago it was still possible to succeed as a CEO through cost-cutting and improving efficiency. You could install new systems, ³Russell and Beach, Textbook of Salesmanship Second Edition, McGraw-Hill, 1932 Northern Illinois University Application Article introduce better processes or outsource non-core areas of your business. All these things would improve the bottom line and please your shareholders. But, in most companies today, these efficiencies have already been achieved. So where does the CEO look for profit growth? Acquisitions perhaps? Many of today’s most successful business leaders grew their companies by mergers and acquisitions. The problem they face now, after the flurry of mergers in the last decade, is that most of the attractive targets have already been taken. Those that remain are generally less attractive or overpriced. So what’s a poor CEO to do, now that the two traditional avenues for profit improvement and growth are drying up? The answer is to grow the revenue – to focus on the top line. With this in mind, CEO’s across the world are taking a new interest in organic growth. They are looking closely at their sales forces and asking some tough questions about whether or not they have the level of professionalism and competence needed to sustain ambitious growth plans. They are coming to realize that a good sales force is just as important a sustainable competitive advantage as a good product stream. And, with that realization, comes nagging quality assurance questions about the level and caliber of their salespeople. The Internet The second component of the perfect storm is the internet. It has swept away millions of sales jobs around the world. Before the internet, if you wanted to know about a product or service, your best option was to Fall 2007 55 meet with a salesperson. An important part of the sales job was to communicate to customers the details of the seller’s mousetrap and what made it superior. Put less kindly, many salespeople were nothing more than expensive talking brochures. With the easy access to information provided by increasingly user-friendly web sites, the need for this type of product based selling has dwindled and all but disappeared. Buyers don’t want these talking brochures and companies can’t afford them. As a result, there are fewer sales jobs but the ones that remain are higher level, more demanding and – incidentally -- much better paid. Ten years ago, it was hard to take professional selling seriously when anyone off the street, with a minimum of product training, could be a successful talking brochure. Today such people are failing in droves. The bar has been raised. The demand from employers and customers is for salespeople whose expertise, competence and problem solving ability creates value. In other words, the market now wants professional salespeople. The Professionalization of Purchasing The final trend is the professionalization of purchasing. A mere ten years ago, you could find people in the purchasing function whose chief qualification was that they were honest company citizens. While doing research into purchasing decision making in 1989, I recall being told by the Chief Operating Officer of a public company in the United States that his purchasing people were loyal but didn’t have the talent to be successful in line functions. “We don’t pay them much,” he told me, “but we let vendors take them out to lunch from time to time as a reward.” Vol. 7, No. 4 56 Journal of Selling & Major Account Management Those days have gone forever. Purchasing, together with its rapidly growing offspring Supply Chain Management, has become one of the most important and strategic functions in the company. Armed with tools like Vendor Segmentation Strategies, or Lifetime Value Analysis, the new breed of purchaser is professional, competent and – yes – professionally certified. The new purchasing function expects much more from salespeople. They want business acumen and they want expertise. In short, they expect a new and exacting professional level of competence from those who hope to do business with them. The professionalization of purchasing has been enormously helped by the clarity of the purchasing task. In any organization, you can define the fundamental role of purchasing as the acquisition of the right products and services on the optimum terms. Try coming up with a similarly clear and simple definition for sales and you run into the immediate difficulty that selling roles are more fragmented. The label “sales” includes everything from the simple retail transaction to the strategic global account. It’s hard to set professional standards when there isn’t a clean definition of the role. Nevertheless, purchasing professionals have seen how their own roles have been transformed by a disciplined professional approach and they rightly expect the same from sales. So What Happens Next? Unlike the earlier attempts to create a sales profession, the business drivers needed for change are now in place. Many of the instruments of success are in place too and Northern Illinois University there are roadmaps to follow – albeit that many of them are from outside the United States. The UK, for example, has extensively researched and internationally benchmarked National Occupational Standards for Sales (www.msssb.org), which are proving very useful beyond its borders. These standards define the purpose of sales as “to create, build and sustain mutually beneficial and profitable relationships through personal and organizational contact.” This definition is broad enough to encompass most B2B sales. Within this framework are detailed competencies required by the professional salesperson. In addition to the usual suspects, such as selling skills, time management and presentation skills, these standards cover wider competencies such as finance, forecasting, working with other functions, marketing, leadership and ethics. A number of global companies in Europe, including Xerox, are structuring their internal training and development using these national standards frameworks. There are also professional institutes for sales, such as the Strategic Account Management Association, the United Professional Sales Association, and the Institute for Sales and Marketing Management. The latter has a UK government-accredited qualifications framework. In the United States there are eleven business schools (all members of the University Sales Center Alliance) as well as a number of schools in Europe with excellent academic sales programs that turn out highly employable graduates. The University Sales Education Foundation is dedicated to increasing sales professionalism. These are encouraging developments. So what’s still missing? Application Article There are advocates and evangelists for sales professionalism, but the sparks have yet to set fire to salespeople. The jury is still out on whether they want to see themselves as sales professionals who deserve the same investment in skills as accountants, lawyers and engineers. Are they reluctant to take that step because of a macho culture in selling that the School of Hard Knocks is all you need to succeed? Fall 2007 57 Neil Rackham is the founder and CEO of Huthwaite, Inc., a leading sales consulting, training, and research firm, and author of several best-selling books, including SPIN Selling, The SPIN Selling Fieldbook, Major Account Sales Strategy, and Getting Partnering Right. Recognized as a pioneer in sales force effectiveness, Mr. Rackham is widely credited with bringing research and analytical methods to the field of sales force management. There’s a delicious word for what’s now needed, and that word is entelechy. The Oxford English Dictionary defines entelechy as “the condition in which a potentiality becomes an actuality.” I’ve also seen it defined as “turning the potential into the actual”. That’s what we need here – some entelechy. There are advocates and evangelists for sales professionalism who are ready and able to take the potential of selling standards and turn them into the practice of a true profession. But, set against them, there’s the inertia of millions of salespeople who have yet to see But themselves as sales professionals. here’s a comforting thought: the previous waves of enthusiasm for sales qualification and standards – enthusiasms that fizzled out – were initiated by experienced salespeople who complained that new entrants needed to be more professional. Today I hear the opposite. It’s the young, successful entrants who are asking why there aren’t qualifications. They are the ones who want to see selling become a recognized profession. They deserve our help and support. Vol. 7, No. 4 58 Journal of Selling & Major Account Management Improving Sales Performance through Situational Management in sales organizations By Karl Pinczolits An increasing number of companies are introducing performance measurement systems into their sales force organizations. It has become essential to understand the impact of productivity in the sales process. A performance management concept is described in this article, which explains the nature and effects of the number of operations and their quality in sales organizations. In a first step, we look at the concepts companies are using to improve productivity. Secondly, we examine the logic and the metrics behind the concepts, which are applied in practice to increase productivity. Thirdly, we define general statements about activity levels, performance gaps and sales culture. The findings suggest that there are various strategies to enhance productivity which lead to a performance based culture in sales organizations. Based on general implications of the findings several recommendations are formulated to improve sales force performance. The results describe fundamentals of essential metrics in sales organization. These metrics answer basic sales questions, such as the impact of operations on the results of a sales organization. This article provides guidelines for measuring and handling the implications of stimulating and penetrating markets. Introduction This article is based on ten years of research in analyzing the productivity of sales organizations, primarily in two ways. First, the findings are based on empirical statistical analysis from a sales manager panel and secondly, on specific performance measurements of sales organizations. Basically, performance management logic and those metrics we use to measure the effectiveness of the sales organization are generally misunderstood, and therefore underused management tools in sales organizations. In the last ten years, among the members of the sales panel of the organizations, who use performance management, productivity rose from 48 percent to 55 percent. There are a lot of impact factors in measuring the productivity of sales force organizations. The line of business and the various sales channels are the highest ranked. When we take into account all the different meanings, there Northern Illinois University are at least some hundred possibilities to understand and measure performance. The findings in this article are normally applicable for the classical sales force organization: in direct business-tobusiness, direct business-to-consumer and indirect sales organizations. The findings are only partly applicable for key account management, project sales, and in organizations with deep, long, and sustained sales processes. Data comes mainly from a panel of sales managers. This panel has been in existence since 1998, and the members of the panel come mainly from Austria, Switzerland, and Germany. There are approximately 150 panel members in the sales manager panel, and in about 40 companies, performance measurements have been tried and tested. Research started in 1998, and the last applied research was in spring 2007. The results have been published as studies of the Institute for Market Communication and Application Article Sales of the University of Applied Sciences Wiener Neustadt, Austria. The sales person is the most important resource in sales. A sales person refers to anyone who generates revenue from their customer base. In a small or medium sized enterprise, this could be the owner or a manager. On the other hand, large enterprises typically have an institutional sales department with sales representatives, sales managers and top management executives in sales. If we asked where an increase in sales productivity could be easily achieved, the entrepreneur, executive, and sales manager would mention sales people first. In particular, time management, number of operations at the customers, and optimal customer support are topics brought up in this regard. As a general rule, the output of a sales representative differs significantly from his sales quality. The range of performance between good and bad sales people can vary greatly. A double or triple sales increase is not unusual between the best and the weakest sales persons. For example, a sales representative achieves triple the annual sales of his colleagues. A business consultant sells forty man-days compared to a colleague who sells 150 man-days. One bank clerk services 200 clients while another clerk attends to 600 clients in the same period of time. A car salesman sells one car per week in comparison to his colleague with one car per day. These sales representatives perform under the same conditions, with the same product, in the same sales area, and sometimes in the same company. Sales contact frequency optimization, customer base optimization, and quality optimization are the central key factors in performance management in most sales organizations. Fall 2007 59 Some Concepts to Improve Productivity When comparing different productivity enhancement programs in companies, more than 70 percent of all companies primarily improve their productivity by increasing pace rate or frequency of contact. One quarter of the examined companies increases its productivity by means of quality as measured by hit rates or productivity of operation. Only 5 percent of companies boost sales on the basis of quality or product. Companies who improve productivity usually introduce, enhance, and modify products frequently. In the long run, measurements to improve the quality are increasingly deployed to raise productivity. The following working concepts are used by sales managers in sales organizations to improve the performance of their sales force. How to Stimulate Sales Performance What matters most? – Activity, or hit rate and productivity? When a company wishes to reach a certain goal, it generally has a set of options on getting there. First of all it can increase the activity level and secondly improve quality. The third option represents a combination of increased activity and increased quality. Activity refers to increasing the number of operations, such as visiting customers more often or spending more time with the customer. Quality refers to productivity improvement. For example, by launching new products in order to achieve higher prices or to increase the value of contracts. A better trained sales force and an optimization of processes are also implied. Every result is a combination of quality and activity. Therefore it is possible to describe Vol. 7, No. 4 60 Journal of Selling & Major Account Management every planned goal as a combination of the two dimensions, activity and quality as shown in Fig. 1 below. Figure 1: The relationship between activity and quality Choosing the best of these options depends on the current position of the company in the market. Nevertheless, the management of the main operations in the sales process or the key performance indicators of the sales process. One of the consolidated findings is that the level cannot be sustained without effort. Planning and steering of the activity level is one of the main practices in managing a sales force. Activity (e.g. number of operations, acts, frequency target result actual result Quality (e.g. hit rate, productivity of operations) number of operations, the pace rate, diligence, and quality of the sales representatives are central influencing factors on productivity in sales. In principle, every increase in performance can be a result of better quality, higher quantity or a combination of both these factors. In practice, the last option, namely a combination of quality and quantity, will be chosen in the majority of cases. The optimal strategy can be derived from statistical key figures. The degree of operations at the customers is basically measured by the activity, or the time spent to win new customers and in satisfying the existing ones. But not every operation is measurable; in most cases sales managers measure only the Northern Illinois University Outcome: Companies in the same markets and under the same circumstances could out perform the average company in this field to an amount of up to 35 percent compared with the average. This figure is relevant to at least 70 percent of the sales organizations within the sales panel. Seven percent of the sales force is not the driving force of the business model. Improving the Sales Force Operations Level The level of operations is one of the most important factors in sales organizations. The German term or phrase “Schlagzahl erhöhen” is a term which originated in sports (rowing Application Article frequency) and can be translated as: frequency, increase stroke count, increase the number of operations, or to pick up the pace. In general, it means to increase the operations level of the sales organization. The “Schlagzahl Portfolio” (shown in Fig. 2) visualizes the sales performance of sales representatives. Each sales representative is positioned within the four quadrant portfolio, based on the employee’s quality and activity. Figure 2: Schlagzahl portfolio Sales Representative Average number of activities, average productivity of activities What is productivity? By dividing the output “how much the customer pays” by the input “the number of activities involving the customer” you receive productivity of operations as a result. Companies measure this productivity in many different ways. Possible outputs could be sales figures, gross profits or units sold. Inputs include the number of activities with the customer, time spent with the customer, the number of proposals or appointments with the customer. In each case, the basic principle of outputs over inputs applies, regardless of what you are measuring, Fall 2007 61 be it in an international project sales organization, a bank clerk or a dealer organization. By applying the basic portfolio concept, you can plot the activity and the quality graph. After positioning sales representative performance, you can visualize enhancement areas for each sales representative based on the combined positions of all sales people. Each sales person’s performance is a combination of the number of activities and qualities (the hit and productivity). The best Number of sales representative operations Productivity of operations IOS graph curve=line of same results way is to use different methods to define the center point. For activities it is useful to use the mode for the number of activities, and for productivity it is useful to use the median. The reason is the different pattern of data you handle. Derived from measurements in the sales panel we were able to see two outputs: Sales output 1: There is no existing industry standard for the number of activities but studies have shown that in almost every line of business, the best sales representatives work on average twice as much as the average sales representatives. Vol. 7, No. 4 62 Journal of Selling & Major Account Management Sales output 2: Weak sales representatives, on average, have one sixth of the activity of the best sales representatives. This level of activity varies by a factor of one to six. In general, the wider the gap between the highest and lowest activity, the greater is the activity area of a company. performance indicators are total sales negotiations of a financial institution, or the number of test drives at a car dealership. To achieve a methodically accurate key performance indicator, a correlation analysis between the input of sales process (operations) and the output (sales revenue, units, gross profits etc.) has to be performed. Two advantages of the KPI are that they are easy to use in sales controlling processes and easy to understand force. Concentration on Key Performance Indicators (KPI) In practical terms it is sometimes difficult to measure all types of sales force activities. The reason could be a very short selling cycle or a complex long lasting sales process. That is why sales managers define certain key performance indicators (KPI) to measure the sales force performance in an adequate way. These key operations reduce the complexity of the sales process and lead the sales force to perform the tasks correctly. Examples of key Improving the Quality of Activities Every activity has its result and this can be positive or negative. There are several methods in use to increase the outcome of each operation in sales. The first is concentrated on productivity of the sales force and the second is concentrated on quality. Productivity is measured by power of Figure 3:Four type of leadership strategies in a “Schlagzahl Portfolio” The degree of operations fits, only productivity at the customers’ should be improved: Coaching of the sales representative; the target group “new employees" has to be trained – within the training content should be; the classical content, such as new acquisition, the presentation of an offer or the final negotiations; additionally it is the duty of the sales manager to introduce the new employee to the customer 2. Train The employee works hard and activities yield sufficient results. Number of operations Release the sales representatives from leadership; the staff members are on the right path, their operations achieve appropriate results; new employees who are on this path have the chance to reach the position of a top sales representative in a short-time 4. Best The ambitious The good Strategies of leading The undecided 3. Select This is the critical group amongst sales representatives. Sales representative coaching; If the sales representatives cannot cope with getting out of this area of work, they will either leave the company due to low salary, or they will be discharged due to low cost-effectiveness Northern Illinois University The clever- “the cherrypicker” Productivity of operation 1. Push The employee has learned to achieve good results with little activity. Being positively supportive of the sales representatives; the market-pressure executed by the employee is marginal – the quality of his activities is good, but the number of activities should be higher; the sales manager has to claim a concrete number of hits. Application Article operations and is the division of output by input. The second method is the measurement of hit rates in the sales process. The methods range from behavioral methods to methods identifying the right customer, to the use of opportunity management in customer relationship tools. Leadership Strategies and Performance Coaching When you build your performance management environment on the basis of the individual sales person, you begin to see their specific performance patterns. If you rank the sales representatives on the number of operations (acts, frequency, and so on), and on the other hand, on productivity of the operations (output divided by input), you will see a specific pattern. The main goal for sales managers is to coach their staff in a manner appropriate to the situation. Sales representatives have different patterns, and to accept these patterns and lead them to a common objective, is one of the issues of performance management. Generally, we can distinguish four different leadership strategies – which are shown in Fig.3. 1: PUSH: People in this area know how to get results with a minimum of operations. The sales manager has to push these people – the customer operations level or market level is too low. The sales manager should demand an increase of the pace rate. 2: TRAIN: Sales representatives are busy in the market, but they do not get the right Fall 2007 63 results. The strategy in this area is to coach and train the sales representatives. The sales manager should work with quality measurements (e.g. hit rates) in this area. 3: SELECT: This is the critical area among sales representatives – the strategy is to move away fast from here. The sales manager strategy is to focus on the number of operations of the sales representative by performance coaching. 4: THE BEST: People are working hard and get good results – the standard strategy is to release the sales representative from leading. Since people know how to get the right results, they know the market and are very active, it is best to leave them to work on their own. In large sales force organizations it is useful to make a large number of clusters which you can treat independently. The clustering of sales representatives makes the coaching process easier. Performance coaching is a special form of coaching used to increase the performance of sales representatives. The sales manager, together with the sales representative, develops a metric which illustrates the quality and the quantity of the average and the best sales representative. The main tool of performance coaching is the development of a coaching path for the sales representative. The coaching path supports the sales representative in reaching their goals. By treating your sales representatives individually you avoid annoying and losing customers as well as sales representative burn-out. Vol. 7, No. 4 64 Journal of Selling & Major Account Management Improving Sales Organization Performance It is not possible to increase the productivity of every sales representative in sales organizations. The important question is how great is the performance gap that a sales manager can close. In order to handle a performance gap, you need to increase the performance of all sales representatives that are below the average ISO graph curve (figure 1). This means that the improvement of sales productivity has implications for the total productivity of the company. The greater the productivity area, the greater is the potential for the use of performance management. In will be able to work out an optimal strategy to close this performance gap. The field of performance is characterized by the area between the weakest and the best sales representative in the dimensions of productivity and number of activities in a sales organization. The greater the area, the lower the average productivity of a sales force. When comparing different sales organizations over a period of several years, average productivity in companies with larger areas is lower than in smaller areas. As a sales organization focuses more on productivity, its fields of performance decrease. The Figure 4: Performance gap Number of operations factor 4 factor 16 factor 60 factor 170 Productivity of operations studies we found that sales force performance gaps range from a factor of four to a factor of 170. A factor represents the difference between the best and the weakest performance in terms of quantity and activity. If a sales manager is aware of this factor, he Northern Illinois University difference between good and bad sales representatives will become smaller without an alteration of good sales representative performance. Some company examples have shown that very effective companies have a productivity field factor of four. These Application Article companies have neither a high sales oriented culture, nor productivity potential. On the other hand, there are companies with a very wide field of productivity. In these companies there could be a productivity field of up to factor 170. These companies display an enormous level of productivity potential. The factor sixteen to forty refers to a moderate level of potential, while a factor of sixty points to a high level of productivity potential. One of the most used tools is to bri ng the u nderperf or mi ng sal es representatives to the average ISO graph curve. This will increase the company average. One of the most commonly used tools in performance management is the use of rankings. Visualization of Goals There are several tools in performance measurement to visualize goals for sales representatives. The use of analysis translated into a visual form is a common tool used, to help calculate the number of activities needed to meet further performance objectives. The reporting needs for general management, for sales managers and for sales representatives vary significantly. In this case, the distinguishing feature is the inclusion of information to close the performance gap. A top manager only needs to see the sales figures to know what is unsatisfactory. A sales representative needs more detailed information, specifically a quality benchmark such as number of operations, hit rates, productivity benchmarks, as well as the productivity in different product lines and services. A good report should serve top management and sales representatives equally. Fall 2007 65 Conclusion To summarize, there are four strategic outcomes for improving sales force productivity: 1) Sales organization performance as well as sales representative performance is measurable, controllable, and can be increased. 2) More operations lead to more sales. Activity is the basic element in the sales management process for sales managers. More contacts generate more contracts. Activities follow certain metrics – they are neither storable nor retrievable. The management of activities is one of the central elements in enhancing productivity. 3) The quality of sales activities is the basic element in the sales management process for sales people. Each sales representative is responsible for the quality of their activities. Therefore it is essential to know the key hit rates of their business. 4) By implementing a planning method that explains to each sales representative which activities lead to success, it is possible to reach goals with less effort on the part of the sales representative and with less pressure exerted by the manager. The implementation of a productivity optimization program leads to higher company market pressure. The implications of heightened market pressure become visible in a higher number of customers and increased cross- and add-on sales. Furthermore, sales representatives have more time for their customers and the sales process quality improves overall. Sales representatives and sales benefit more from Vol. 7, No. 4 66 Journal of Selling & Major Account Management the implementation of different concepts. The program is easy to understand and implement, and illustrates the performance culture. The performance culture characterizes a company that always focuses on the number of operations. Knowing which level of activity is feasible leads to transparency and warrants that everyone in the sales organization is focused on the same performance criteria. REFERENCES Pinczolits, K.(1998).Der Schlagzahlenmanager. Arbeitsleistungen im Vertrieb messen und steigern. Frankfurt/New York, Campus Publisher. Pinczolits, K. (2000). Produktivität im Vertrieb. Eisenstadt, MCD-Institute. Pinczolits, K. (2003). Best Sales Performance. Eisenstadt, MCD-Institute. Pinczolits, K. (2006). Produktivität von Verkäufer/innen und Verkaufsleiter/ innen 2006. Wiener Neustadt, University of Applied Sciences. Pinczolits, K. (2008). Schlagzahlmanagement. Die Aktivitäten von heute sind der Umsatz von morgen. Vienna, facultas.wuv. Pinczolits, K. and Vevera, D. (2005). Sales Radar. Die aktuellen Themen im Vertrieb 2005/2006 und ihre Relevanz. Wiener Neustadt, University of Applied Sciences. Pinczolits, K. and Vevera, D. (2006). Sales Radar. Die aktuellen Themen im Vertrieb 2006/2007 und ihre Relevanz. Wiener Neustadt, University of Applied Sciences. Northern Illinois University