See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/233490138 The Effectiveness of Hospitality Service Operations: Measurement and Implementation Concerns Article in International Journal of Contemporary Hospitality Management · October 2007 DOI: 10.1108/09596110710818301 CITATIONS READS 39 21,311 3 authors: Carlos F. Gomes Mahmoud M. Yasin University of Coimbra East Tennessee State University 90 PUBLICATIONS 1,515 CITATIONS 189 PUBLICATIONS 3,997 CITATIONS SEE PROFILE João Lisboa University of Coimbra 58 PUBLICATIONS 1,187 CITATIONS SEE PROFILE Some of the authors of this publication are also working on these related projects: just an article View project dissertation View project All content following this page was uploaded by Carlos F. Gomes on 12 November 2017. The user has requested enhancement of the downloaded file. SEE PROFILE The Effectiveness of Hospitality Service Operations: Measurement and Implementation Concerns Carlos F. Gomes University of Coimbra Faculty of Economics Institute of Systems and Robotics Coimbra - Portugal Mahmoud M. Yasin East Tennessee State University Department of Management & Marketing P.O. Box 70625 Johnson City, TN 37614 João V. Lisboa University of Coimbra School of Economics Institute of Systems and Robotics Coimbra - Portugal This is a post-print (i.e. final draft post-refereeing) of an article published in International Journal of Contemporary Hospitality Management (ISSN: 0959-6119), available online at: http://www.emeraldinsight.com/doi/abs/10.1108/09596110710818301?journalCode=ijchm Citation: Gomes, Carlos F., Yasin, Mahmoud M. e Lisboa, João V. (2007), “The Effectiveness of Hospitality Service Operations: Measurement and Implementation Concerns”, International Journal of Contemporary Hospitality Management, 19(7), pp. 560-573. The Effectiveness of Hospitality Service Operations: Measurement and Implementation Concerns ABSTRACT Classification: Research Paper Purpose The objective of this research is to propose a systematic approach to measuring, tracking, monitoring and continuously improving service efficiency, availability and quality in hospitality operational settings. Design/methodology/approach The proposed measure of service operational effectiveness (SOE) consists of three indicators. They include the availability indicator, the quality indicator, and the efficiency indicator. Findings The proposed operational performance approach based on the SOE is consistent with the themes of performance measures and measurement reported in the literature. Research limitations/implications The proposed service operational effectiveness approach represents a serious attempt at quantifying the key facets of service effectiveness in hospitality operational settings. The validation of this performance assessment and measurement approach is worthy of future research. Practical implications The approach advocated by the SOE has operational and strategic relevance to decision-makers of hospitality organizations. Field interviews with hospitality operating managers in different operating base cultures confirmed this. Originality/value This research presents a practical, systematic approach to the problem of enhancing service operational effectiveness in hospitality organizations. Relevant implementation issues associated with the proposed approach are also addressed. Interviews with operational managers representing different types and sizes of hospitality organizations in different operational cultures were utilized to provide initial validation of the proposed approach and to shed some light on relevant practical implementation issues. Keywords Performance Measurement, Hospitality Organizations, Decision-Makers, Service operational effectiveness, Implementation issues The Effectiveness of Hospitality Service Operations: Measurement and Implementation Concerns 1. Introduction New markets and competitive realities are forcing service organizations to take the process of tracking, monitoring, and improving operational and organizational performance, in order to meet the growing challenges posed by the customers, very seriously. Theses challenges have been unmistakable in recent years, as they encompass key performance facets, which shape the relationships between the customer and the service operational system. In this context, key performance facets focusing on improving the service encounter and the customer-orientation through paying close attention to service efficiency, quality, and availability are becoming critical components of organizational performance. Improvement aimed at these key service performance dimensions are critical toward enhancing the service value offered to customers. Thus, the systematic measurement, tracking, monitoring and continuous improvement of service efficiency, quality, and availability is the first step in the road toward enhancing the customersorientation and service value. Most services operational systems are organized based on two stages. The first stage is labeled the “front-stage”, while the second stage is labeled the “back-stage” (Yasin and Yavas, 2001). The front-stage includes all operational tasks and activities, which the customer directly interact with. An example of such tasks and activities is the process of checking-in a guest in a hotel. The back-stage, on the other hand, includes all operational tasks and activities, which take place without direct interaction with the customers. An example of such tasks and activities is the room cleaning service in a hotel. The overall performance of the service system is very much influenced by the performance of both service stages (Dorsch et al., 1997). Therefore, any attempt to improve 1 the overall performance of the service system must systematically incorporate and integrate the service performance aspects related to service efficiency, quality, and availability of the two service stages. In this context, the service operational system of a hospitality organization is no exception. The two service stages of hospitality operational system must be measured and monitored to ensure the overall service operational effectiveness. This requires close attention to service efficiency, quality and availability. Hospitality service organizations are facing increasing competitive pressures due to recent environmental changes (Lovelock and Wirtz, 2004 in Gursoy and Swanger, 2006). In recent years, the significance of hospitality related services has increased significantly in developing countries (Tsaur and Lin, 2004; Barros, 2005). Overall, the hospitality industry is becoming a truly competitive, global industry (Claver et al., 2006). Due to increasing level of competition in the global hospitality industry, organizations in this industry are becoming more aware of the need to customize services and service performance to the emerging requirements of the sophisticated global customers. Thus, monitoring, tracking and improving service quality, availability and efficiency are becoming more critical than ever before in hospitality operational service settings. Motivated by above discussion, the objective of this research is to introduce a systematic approach to the measurement, tracking and improvement of key aspects of service performance in hospitality operational settings. The proposed approach utilizes a measure called service operational effectiveness (SOE) to monitor, track and improve service quality, availability and efficiency. The development and components of this measure are presented and discussed from a practical perspective. In the process, the operational and strategic benefits of the proposed approach are presented in the context of the effective implementation of the proposed SOE approach. 2 2. Background Based on an extensive literature review concerning performance evaluation, measures and related implementation issues (Gomes et al., 2004b), two distinct themes emerged. The first theme may be labeled as the “universal” theme. The second theme, on the other hand, may be labeled as the “contingency” theme. The first theme includes approaches to performance measurement and implementation efforts which advocate transferability across organizations and operating environments (Cross and Lynch, 1988-1989; Lynch and Cross, 1991; Kaplan and Norton, 1992, 1993; Ghalayini et al. 1997; Kloot and Martin, 2000; Kaplan and Norton, 2004, Moullin, 2004, Chand et al, 2005). The second theme includes approaches which stress the unique characteristics of the organizations, functions, or business units involved, when considering and/or implementing performance measures and measurement (Dixon et al., 1990; Eccles and Pyburn, 1992; Crowther, 1996; Neely et al., 1995; Waggoner et al., 1999; Neely et al., 2001, 2002; Gunasekaran et al., 2004; Bourne, 2005). The performance measurement approaches advocated in the literature under these two themes highlighted above have practical relevance to hospitality operational systems. While the approaches advocated under these two themes tend to differ with regards to their treatments of different organizational and environmental contexts, they tend to clearly point out the increasing importance of the non-financial aspects of organizational performance (Dempsey et al., 1997; Gomes et al., 2004a; Abdel-Maksoud et al., 2005; Hoque, 2005). Despite the fact that organizations in the hospitality industry have been slow in focusing on performance measurement (Witt and Witt, 1989), they have attempted to adopt similar practices found in other industries. In this context, the hospitality organizations have utilized specific performance measurement approaches, as in the cases of service quality 3 (Stank et al., 1999, Brady et al., 2002, Chow et al, 2006) and human resources (Eaglen et al., 2000, Tsaur and Lin, 2004; Haber e Reichel, 2006, Cho et al., 2006). In addition to the measure-specific approach, some hospitality organizations have also utilized an organization-wide approach to performance measurement (Huckstein and Duboff, 1999; Denton and White, 2000). These organization-wide approaches are, somewhat, consistent with the Balanced Scorecard approach (Harris and Mongiello, 2001). Such approaches, however have been characterized by their small scale and limited scope (Atkinson and Brown, 2001). In general, managers of hospitality organizations appear to remain, primarily, focused on traditional financial measures (Chung and Parker, 2006). This narrow focus has been attributed to the limited understanding of operations' managers in the hospitality industry of techniques and their positive impact on productivity in hotels (Ingram and Fraenkel, 2006). This limited understanding of service operational management has led to adoption of performance measurement approaches which lack and integrated, systematic perspective. The performance measurement literature underscores the notions that the future of performance measurement systems will not be judged only based on their aggregation or integration features, but also on their abilities to incorporate the dynamic relationships among efficiency-specific and effectiveness-oriented organizational measures (Gomes et al, 2004b). Thus, organizational performance measurement initiatives and efforts must be viewed as a complete organizational system, rather than a collection of stand-alone models and tools (Lohman et al., 2004; Chenhall, 2005). In this context, organizations in hospitality industry still have a long way to go, before they can have effective integrated performance measurement systems. The performance measurement literature reviewed tends to suggest that two types of organizational performance evaluation platforms are needed. The first platform maintains a 4 measure-specific perspective. This platform defines the relationship between specific measures and the organizational units responsible for them. Under this evaluation platform, individual performance measures can be used to evaluate the reliability, availability, efficiency, and quality aspects of the operational system and its different processes. To accomplish this goal, diverse individual measures should be utilized individually and/or in small groups. These measures are critical to detecting and dealing with specific inefficiency-related problems. The key to improving performance under this measurespecific platform is training and development of employees to promote responsibility and accountability. Thus, investments on the part of hospitality organizations to promote operational efficiency and employees’ productivity appear to be consistent with this performance improvement platform. However, such investments may not be sufficient to improve the overall performance of the operational system. The second performance evaluation platform is focused on an organizational-wide or system-wide management-perspective. As such, this platform focuses on mainly few performance measures which reflect critical organizational performance dimensions. These measures should be consistent with the executives’ individual cognitive capacities (Lipe e Salterio, 2000, Garg et al., 2003). This platform stresses an organizational effectiveness approach to organizational performance measures and measurement. As such, the measures of this platform should be consistent with indicators designed to gage the competitiveness of the organization in the marketplace (Basu and Wright, 1997; Chenhall, 2005). The emphasis under this platform is on the effective flow of products/services to markets. Such effective flow has positive impact on the profitability of the hospitality organization (Goldratt and Cox, 1993). Under this platform the involvement of the executive is viewed to be critical to the success of the organizational performance measurement process (Gomes 5 et al., 2003). Investments and effects to improve organizational performance on the part of service hospitality organizations consistent with this platform appear to be not sufficient. While the above two platforms focus on different aspects of operational and organizational performance, nevertheless they should be integrated under one performance measurement system. In this study, the services operational effectiveness (SOE) measure is introduced forward that end. This measure is consistent with the two platforms addressed above. As such, it can be used in a way consistent with the organizational-wide (systemwid) platform to measure and track overall organizational performance. However, it can also be used in a way consistent with the measures-specific platform to measure key specific performance characteristics of the hospitality system and its processes. The SOE development is based on concepts related to machine effectiveness. Nakajima (1988) is accredited for the conceptualization of an overall, machine effectiveness performance measure (Blanchard, 1997). However, since that time, several authors (Raouf, 1994; De Groote, 1995; Al-Najjar, 1996; Dal et al., 2000; Eti et al, 2004; Kenyona et al., 2005) have provided insights into the operationalization of the machine effectiveness measures and measurement. The SOE measure proposed in this research transposes the performance concepts, from a narrowly-defined system (the machine) with specific components and well-defined work procedures, to a more complex system (the hospitality organization and its service system). The SOE value incorporates the values of three important hospitality operational performance dimensions which include availability, quality, and efficiency. The proposed SOE can be utilized to either the support of the measure-specific platform, or the system-wide platform of the hospitality operational system. As such the management of hospitality organizations has the flexibility to utilize SOE measure and performance measurement approach associated with it as an integrated performance system, or as a narrowly focused operational measurement process. 6 3. The SOE Approach The proposed SOE measure consists of three indicators, which are Availability (A), Quality (Q) and Efficiency (E). This measurement approach was originally used in association with a closed system (machine) (De Groote, 1995), where the system components are well-defined. Therefore, cause-effect relationships can be assessed with some certainty. However, the proposed SOE approach, as advocated in a hospitality service setting, utilizes these three indicators in association with an open, complex system (the hospitality organization and its operational system). A justified argument can be easily made regarding the applicability of a machine-based performance approach to a people-oriented, service-based operational system, such as in the case of a hospitality service operational system. However, two counter arguments can be easily made. First, the components of measurement are both applicable and relevant to both operational environments. Second, the notion of benchmarking best measurement practices and procedures is not restricted by operational and environmental similarities. As a case in point, service organizations, in different services sectors, have successfully benchmarked the practices of there manufacturing counterparts. In this context, service organizations have extracted valuable lessons from the experiences of manufacturing organizations with regard to customer satisfaction and quality improvements initiatives. Thus the application of the SOE approach in hospitality service operational settings is not only relevant but perhaps very much needed. Thus the practical justification for such application is established and justified. The SOE approach, as advocated in hospitality operational service settings represents a modification of the approach, originally proposed by De Groote (1995). This modification is required due to the unique and open nature of the hospitality service operational system. In addition, such modifications take into consideration the intangible, yet important people7 orientation of this service operational system. In such system, operational activities, tasks and resources (people, technology and know-how) are blended systematically to ensure the effectiveness of the service encounter from the unique perspective of each customer (see Figure 1). Thus, the customer is an integral part of the service operational system. “take in Figure 1” The SOE operational approach as advocated in service hospitality operational settings, consist of three key service performance indicators. Since the performance of a hospitality operational system is multi-faceted in nature, availability, quality, and efficiency constitute important facets of such performance. These indicators have operational organizational, and customer implications. The SOE measure is defined below: SOE = A × Q × E The service performance indicators of the SOE are summarized below. These include the following indicators: 1. Service availability 2. Service quality 3. Service efficiency Space limitations and readership interest prevent us from presenting the detailed mathematical development of these indicators. The conceptual framework presented in Figure 2 is formulated based on field interviews conducted with a sample of twenty hospitality operating managers in the US and 8 fifteen Middle Eastern managers, representing different sizes and type of hospitality service organizations. 4. The Implementation and Utilization of SOE in Hospitality Organizations If implemented systematically, the SOE has the potential to be very useful to executives and operating managers of hospitality organizations. In this context, not only the SOE can be used to monitor the performance of the different aspects of the hospitality service system, but it also can provide a performance-oriented context for continuous improvement initiatives and efforts. The conceptual framework in Figure 2 is designed to offer a road map towards the effective implementation and utilization of the SOE in hospitality service operational settings. The stages of this framework are highlighted below. “take in Figure 2” STAGE I - Initialization The implementation of the SOE approach begins with the initiation of its relevant indicators (Availability, Quality and Efficiency). This initiation process involves determining the initial values, and establishing target benchmarks for the indicators. Although the theoretical target for the SOE, and its indicators is one (1), the initial practical target(s) will be dependent on a given organizational operational history and/or benchmark values available from industry associations. STAGE II – Resource identification and process improvement During this stage, needed procedural modifications can be made in ways consistent with existing organizational practices, or based on methodologies presented in the 9 literature. Such methodologies include statistical quality control procedures, theory of the constraint (Goldratt and Fox, 1986), and simulation. Upon the completion of this effort, a continuous improvement cycle focusing on performance aspects to be improved is launched. The continuous improvement cycle should allow for the verification of progress of the improvement efforts. In this context, it is critical for the hospitality organizations to be willing to commit the resources needed to foster the improvement efforts. The involvement of employees, management and customer in this process is stressed. STAGE III – Monitoring and evaluation In this stage, it is critical to make available the relevant information needed to evaluate the SOE measure and relevant indicators. As such, the role of organizational information systems in providing the required information is critical. Based on the evaluation performed, performance gaps are identified and plans to address them are formulated and implemented The monitoring of the implementation efficiency of the SOE approach is extremely important. This is need, not only to maintain high levels of motivation, but also to identify opportunities for improvement. If the implementation process is inefficient and takes to much time, this may encourage dysfunctional behavior (Almgren, 1999). Thus, every time a new value of SOE is obtained, it should be compared to previous values in order to verify progress and aware for improvement. Thus, serving as further justification and motivation for the implementation process. The utility of the SOE approach can be illustrated through simulation, or actual operational data. The results of the data analysis pertaining to the overall SOE measure and its three indicators will clearly reflect the state of operational effectiveness of the 10 hospitality organization at any given period. Undesirable results of such analysis should present some concern to the management of the hospitality organizations. In this case corrective managerial actions will be need needed. To take the right corrective action, a more detailed, systematic analysis of the three indicators of SOE measure over a period of time maybe needed. Toward that end, a graphical analysis is helpful, especially in association with historical operational data. See Figure 3, as an example of such graphical analysis. The graph can be structured to show the SOE values, the target line, and the line representing the average value of SOE for a period of time. Based on this graph, management can verify two important aspects of service operational effectiveness, which represent the gap between the target and actual values, as well as the extent of variability in the behavior of the service system. According to the interviewed hospitality operating managers, such analysis will be extremely useful to take corrective actions aimed at bringing the operational system under control, as well as implementing performance improvement initiatives. These initiatives are designed to improve operational service quality, efficiency and availability. According to the managers interviewed, the collective improvement of these service operational dimensions is instrumental to the enhancement of the competitive position of the hospitality organization. “take in Figure 3” The graphical analysis shown in Figure 4 for the three indicators of the SOE measure may indicate that the high variability in the SOE can be attributed to efficiency problems. This, in turn can be attributed to planning problems, inaccurate service demand forecast, or even low productivity. The graphical analysis of planned operational service capacity relative to delivered services capacity can be used as a first step toward the diagnosis and 11 resolution of this problem. In any case, the graphical analysis provides management with visual aid that makes it feasible to think of performance from a practical rather than abstract perspective. “take in Figure 4” The success of the SOE implementation approach is very much dependent on the availability of needed information. Therefore, in the early phases of implementation, the precision of the indicators may be traded for more procedural and informational simplicity. Thus, leaving the achievement of more precise results for later phases of the implementation process. At that point in time during the implementation process, the organization should have already successfully created an organizational culture in support of the SOE approach. Thus, the emphasis can be shifted to the refinement of measures and measurement in order to obtain very precise results. STAGE IV- Organizational changes In relation to the optimal frequency of measurement of the SOE measure, two complementary approaches are suggested. These include the monitoring orientation and the verification orientation. The monitoring orientation constitutes a synchronous activity. It stresses obtaining the information needed to quantify, and evaluate the SOE measure on a weekly-basis. Thus, it is a cyclical activity, aimed at improving the effectiveness of operational system. The verification orientation is to be used, in an asynchrony way. Thus, whenever changes aimed at improving are made to the hospitality service operational system are made, the effectiveness of these changes is evaluated. 12 5. Conclusion and Implications Environmental and competitive challenges are forcing hospitality service operational systems to pay closer attention to the different aspects of performance (Yasin and Yavas , 2001; Yasin et al, 2003; Tsaur and Lin, 2004; Yasin et al, 2004; Barros, 2005; Claver et al., 2006). The performance measurement literature stresses the utility of individual measures, aimed at measuring and tracking specific facets of the performance of a hospitality operational system performance (measure-specific). However, the literature also stresses the utility of aggregate measures, aimed at measuring and tracking the overall performance of such service operational system. The SOE approach proposed in this study lends itself to both measure-specific and aggregate-measure performance measurement orientations. The proposed SOE approach utilizes key indicators, which includes services availability, quality, and efficiency. While these indicators are operational in nature, they tend to have strong customer-orientation, service value, and service encounter implications to customers. In addition, the collective value of these indicators, as reflected in the overall value of the SOE has competitive strategic implications. Hospitality managers interviewed appear to think that information on the SOE indicators is readily available in their organizations. However, if this type of information is unavailable, modifications to the existing organizational information systems and procedures can be made to ensure the availability, accuracy, and availability of such information. While the actual SOE implementation process will require serious commitment and support from management and employees, the anticipated performance improvements, especially the financial and costumers-related aspects should justify the implementation effort and investment The implementation approach outlined in Figure 2, which is supported by interviewed hospitality managers tend to provide hospitality organizations with a road map toward 13 providing the organizational context needed to support a systematic, organizational approach to performance measurement. Hospitality organizations are unique operational systems were people serve people. Thus, the effective performance of this unique operational system has strong consequences and implications to the organizations, the people who work for it, and its customers. The SOE approach advocated in this article contributes to better measurement, tracking, and improvement of operational performance in hospitality organizations. In today marketplace, the customer is the ultimate judge of effective organizational performance. Hospitality organizations must be aware of their performance and how it is perceived by their customers. 14 References Abdel-Maksoud, Ahmed, Dugdale, David and Luther, Robert (2005), "Non-financial performance measurement in manufacturing companies", The British Accounting Review, Vol. 37, Nº 3, pp. 261-297. Almgren, Henrik (1999), "Start-up of advanced manufacturing systems - A case study", Integrated Manufacturing Systems, Vol. 10, Nº. 3, pp. 126-136 Al-Najjar, Basim (1996), "Total quality maintenance", Journal of Quality in Maintenance Engineering, Vol. 2, Nº. 3, pp. 4-20. Atkinson H. and Brown J. (2001), "Rethinking performance measures: assessing progress in UK hotels", International Journal of Contemporary Hospitality Management, Vol. 13, Nº 3, pp. 128-135. Barros, Carlos Pestana (2005), "Evaluating the efficiency of a small hotel chain with a Malmquist productivity index", International Journal of Tourism Research, Vol. 7, Nº 3, pp. 173-184 Basu, Ron and Wrigth, J. Nevan (1997), "Total Manufacturing Solutions", Butterworth and Heinemann. Blanchard, Benjamin S (1997), "An enhanced approach for implementing total productive maintenance in the manufacturing environment", Journal of Quality in Maintenance Engineering, Vol. 3, Nº. 2, pp. 69-80. Bourne, Mike (2005), "Researching performance measurement system implementation: the dynamics of success and failure", Production Planning & Control, Vol. 16, Nº 2, pp. 101-113. Brady, Michael K., Cronin, J. Joseph, Jr. and Brand, Richard R. (2002), "Performance-only measurement of service quality: a replication and extension", Journal of Business Research, Vol. 55, Nº 1, pp. 17-31. Chand, Donald, Hachey,George, Hunton, James, Owhoso, Vincent and Vasudevan, Sri (2005), "A balanced scorecard based framework for assessing the strategic impacts of ERP systems", Computers in Industry, Vol.56, Nº 6, pp. 558-572. Chenhall, Robert H. (2005), "Integrative strategic performance measurement systems, strategic alignment of manufacturing, learning and strategic outcomes: an exploratory study", Accounting, Organizations and Society, Vol. 30, Nº 5, pp. 395-422. Cho, Seonghee, Woods, Robert H., Jang, Soo Cheong (Shawn) and Erdem, Mehmet (2006), "Measuring the impact of human resource management practices on hospitality firms' performances", International Journal of Hospitality Management, Vol. 25, Nº 2, pp. 262-277. Chow, Irene Hau-siu, Lau, Victor P., Lo, Thamis Wing-chun, Sha, Zhenquan and Yun, He (2006), "Service quality in restaurant operations in China: Decision- and experientialoriented perspectives" International Journal of Hospitality Management, 08/17/2006: (In Press, Corrected Proof) 15 Chung, Lai Hong and Parker, Lee D. (2006), "Integrating hotel environmental strategies with management control: A structuration approach", Business Strategy and the Environment, (in Press). Claver, Enrique and Pereira, Jorge (2006), "Does quality impact on hotel performance?", International Journal of Contemporary Hospitality Management, Vol. 18 Nº 4, pp. 350-358. Cross, K.F. and Lynch, R.L. (1988-1989), "The SMART way to define and sustain success", National Productivity Review, Vol. 9 No. 1, pp. 23-33. Crowther, David E. A. (1996b), "Corporate performance operate in three dimensions", Managerial Auditing Journal, Vol.11, N.8, pp. 4-13. Dal, Bulent; Tugwell, Phil and Greatbanks, Richard (2000) "Overall equipment effectiveness as a measure of operational improvement", International Journal of Operations & Production management, Vol. 20, Nº.12, pp. 1488-1502. De Groote, P. (1995), "Maintenance performance analysis: a practical approach", Journal of Quality in Maintenance Engineering; Vol. 1 Nº. 2, pp. 4-24. Dempsey, Stephen J; Gatti, James F; Grinnell, D Jacque and Cats-Baril, William L(1997), "The use of strategic performance variables as leading indicators in financial analysts' forecasts", Journal of Financial Statement Analysis, Vol. 2, Nº.4, pp. 61-79. Denton, G. and White, B (2000), “Implementing a Balanced-scorecard Approach to Managing Hotel Operations”, Cornell Hotel & Restaurant Administration Quarterly, Vol. 41, Nº 1, pp. 94 -107. Dixon J.R., Nanni A.J. and Vollmann, T. E. (1990), "The New Performance Challenge: Measuring Operations for World class Competition", Business One Irwin, Homewood, IL. Dorsch, J., Yasin, M., Czuchry, A. (1997), "Application of Root Cause Analysis in a Service Delivery Operational Environment: A Framework for Implementation," International Journal of Service Industry Management, Vol. 8, No.4, pp. 268-289. Eaglen, Andrew, Lashley, Conrad and Thomas, Rhodri (2000), "Modelling the benefits of training to business performance in leisure retailing", Strategic Change, Vol. 9, Nº 5, pp. 311-325. Eccles, Robert G. e Pyburn, Philip J. (1992), "Creating a Comprehensive System to Measure Performance - Financial Results Should Not Generate the Most Rewards ", Management Accounting, Vol. 74, N.4, pp. 41-44. Eti, M. C. Ogaji, S. O. T. and Probert, S. D. (2004), “Implementing total productive maintenance in Nigerian manufacturing industries”, Applied Energy, Vol. 79, Nº 4, pp. 385-401. Garg, Vinay K., Walters, Bruce A. and Priem , Richard L. (2003), "Chief executive scanning emphases, environmental dynamism, and manufacturing firm performance", Strategic Management Journal, Vol. 24, N. 8, pp. 725-744. Ghalayini, Alaa M.; Noble, James S. and Crowe, Thomas J. (1997), "An integrated dynamic performance measurement system for improving manufacturing competitiveness", International Journal of Production Economics, Vol. 48, Nº. 3, pp. 207-225 16 Goldratt, Eliyahu M. and Cox, Jeff (1993), "The Goal - A process of Ongoing Improvement", 2ª ed., Gower, Hampshire Goldratt, Eliyahu M. and Fox, Robert E. (1986), "The Race", North River Press, Croton-onHudson, New York. Gomes, Carlos F., Yasin, Mahmoud M. and Lisboa, João V. (2003), “An Examination of Manufacturing Performance Measurement Practices: Utilization Relevance and Availability”, Proceedings of the Joint International Conference of European Operations Management & Production and Operation Management Society, Italy, pp. 461-470. Gomes, Carlos F., Yasin, Mahmoud M. and Lisboa, João V. (2004a), "An Examination of Manufacturing Organizations Performance Evaluation: Analysis, Implications and a Framework for Future Research", International Journal of Operations & Production Management, Vol. 24, N. 5, pp. 488-513. Gomes, Carlos F., Yasin, Mahmoud M. and Lisboa, João V. (2004b),"A Literature Review of Manufacturing Performance Measures and Measurement in an Organizational Context: A Framework and Direction for Future Research", The International Journal of Manufacturing Technology Management, Vol. 15, N. 6, pp. 511-530. Gunasekaran, A. and E. W. T. Ngai (2004), "Information systems in supply chain integration and management", European Journal of Operational Research, Vol. 159, Nº 2, pp. 269-295. Gursoy, Dogan and Swanger, Nancy (2006), "Performance-enhancing internal strategic factors and competencies: Impacts on financial success", International Journal of Hospitality Management, In Press, Corrected Proof, Available online 23 March 2006. Haber, Sigal and Reichel, Arie (2006), "The cumulative nature of the entrepreneurial process: The contribution of human capital, planning and environment resources to small venture performance", Journal of Business Venturing, In Press, Corrected Proof, Available online 26 January 2006. Harris P. and Mongiello M. (2001), “Key performance indicators in European hotel properties: General managers’ choices and company profiles”, International Journal of Contemporary Hospitality Management, Vol. 13, Nº 3, pp. 120-127. Hoque, Zahirul (2005), "Linking environmental uncertainty to non-financial performance measures and performance: a research note", The British Accounting Review, Volume 37, Nº 4, pp. 471-481. Huckstein D, Duboff R. 1999. Hilton Hotels: a comprehensive approach to delivering value for all stakeholders. Cornell Hotel and Restaurant Administration, Vol. 40, Nº 4, 28– 38. Ingram, Arthur and Fraenkel, Stefan (2006), "Perceptions of productivity among Swiss hotel managers: a few steps forward?", International Journal of Contemporary Hospitality Management, Vol. 18 Nº 5, pp. 439-445. Kaplan, Robert S. and Norton, David P. (1992), "The Balanced Scorecard - Measures that drive Performance", Harvard Business Review, Vol. 70, Nº1, pp. 71-79. Kaplan, Robert S. and Norton, David P. (1993), "Putting the balanced scorecard to work", Harvard Business Review, Vol. 71, Nº. 5, pp. 134-142. 17 Kaplan, Robert S. and Norton, David P. (2004), “Measuring the Strategic Readiness of Intangible Assets”, Harvard Business Review, Vol. 82, Nº 2, pp. 52-63. Kenyona, George, Canelb, Cem and Neureutherc, Brian D. (2005), “The impact of lotsizing on net profits and cycle times in the n-job, m-machine job shop with both discrete and batch processing”, International Journal of Production Economics, Vol. 97, Nº 3 , pp. 263-278. Kloot, L. and Martin, J. (2000), "Strategic performance management: A balanced approach to performance management issues in local government", Management Accounting Research, Vol. 11, Nº 2, pp. 231-251. Lipe, Marlys G. and Salterio, Steven E. (2000), "The Balanced Scorecard: Judgmental Effects of Common and Unique Performance Measures", The Accounting Review, Vol. 75, N.3, pp.283-298. Lohman, Clemens, Fortuin, Leonard and Wouters, Marc (2004), "Designing a performance measurement system: A case study", European Journal of Operational Research, Vol. 156, N. 2, pp 267-286. Lovelock, C., Wirtz, J., 2004. Services Marketing, 5th ed. Pearson-Prentice Hall, Upper Saddle River, NJ. Lynch, R. L. and Cross, K. F. (1991), "Measure Up - The Essential Guide to Measuring Business Performance", Mandarin, London. Moullin, Max (2004), "Eight essentials of performance measurement", International Journal of Health Care Quality Assurance, Vol. 17, Nº 3, pp. 110-112. Nakajima, B. S (1988), “Introduction to Total Productive Maintenance”, Productive Press, Cambridge, MA. Neely, Andy; Adams, Chris and Crowe, Paul (2001), "The Performance Prism in Practice", Measuring Business Excellence, Vol. 5, N. 2, pp.6-11. Neely, Andy; Adams, Chris and Kenerly, Mike (2002), "The Performance Prism- The scorecard for measuring and managing success", Pearson Education Limited, London. Neely, Andy; Gregory, Mike and Platts, Ken (1995), "Performance measurement system design, A literature review and research agenda", International Journal of Operations & Production Management, Vol. 15, Nº. 4, pp. 80-116. Raouf, A (1994), "Improving Capital Productivity through Maintenance", International Journal of Operations and Production Management; Vol. 14, Nº. 7, pp. 44-52. Stank, Theodore P., Goldsbyb, Thomas J. and Vickeryc, Shawnee K. (1999), "Effect of service supplier performance on satisfaction and loyalty of store managers in the fast food industry", Journal of Operations Management, Vol. 17, Nº 4, pp. 429-447. Tsaur, Sheng-Hshiung and Lin, Yi-Chun (2004), "Promoting service quality in tourist hotels: The role of HRM practices and service behavior", Vol. 25, Nº 4, pp. 471-481. Waggoner, Daniel B; Neely, Andy D. and Kennerley, Mike (1999), "The forces that shape organizational performance measurement systems: An interdisciplinary review", International Journal of Production Economics, Vol. 60-61, No. 3, pp. 53-60. 18 Witt, C and Witt, S. F. (1989), “Why productivity in the hotel sector is low”, ”, International Journal of Contemporary Hospitality Management, Vol. 1, Nº 2, pp. 2833. Yasin, M., Alavi, J., Kunt, M., Zimmerer, T. (2004), "TQM Practices in Service Organizations: Implementation, Outcomes and Effectiveness," Managing Service Quality, Vol. 14, No.5, pp. 377-389. Yasin, M., Alavi, J., Sobral, F., Lisboa, J. (2003), "Realities, Threats and Opportunities Facing the Portuguese Tourism Industry," International Journal of Contemporary Hospitality Management, Vol. 15, No.4, pp. 221-225. Yasin, M., Yavas, U. (2001), "Improving Service Quality in the Hospitality Industry: A Framework," Journal of Hospitality and Leisure Marketing, Vol. 7, No.4, pp.33-43. 19 Figure 1 – Service operational system and the effectiveness SERVICE OPERATIONAL SYSTEM Service Operational FRONT-STAGE OPERATIONS Effectiveness (SOE) BACK-STAGE OPERATIONS Approach OPERATIONAL SERVICE EFFECTIVENESS 20 Figure 2 – A conceptual framework for the implementation of the service operational effectiveness (SOE) approach STAGE I – Initialization - Gather information - Define SOE parameters - Establish benchmark targets - Start the SOE process STAGE II – Resources identification and process improvement - Identify key resources and processes - Select processes to improve - Set priorities. CONTINUOUS IMPROVEMENT STAGE III – Monitoring and evaluation - Gather relevant data - Evaluate the SOE and relevant parameters - Verify the existence of performance gaps STAGE IV – Organizational changes - Modify actions as needed - Select new processes to improve - Modify target performance benchmarks 21 Figure 3 – A graphical evolution of the service operational effectiveness (SOE) values over time 1.40 1.20 1.00 0.80 0.60 0.40 0.20 0.00 38 39 40 41 42 43 44 45 46 47 48 49 50 Period SOE TARGET MAVG 22 Figure 4 – A graphical evolution of the service operational effectiveness (SOE) graph including their indicators 1.20 1.10 1.00 0.90 0.80 0.70 0.60 0.50 38 39 40 41 42 43 44 45 46 47 48 49 50 Period Availability Indicators Availability Quality Definitions A= Ta - Ts Ta Ta – Available operational time. Ts – Time when all operational processes are stopped. Quality Q= NS c NS c + NS nc NSc – Number of services delivered according to service quality specifications. NSnc – Number of services considered Efficiency SOE TARGET Examples Usually, the stoppages are attributed to energy breakdowns, shortages of key raw materials, or needed equipments. Although these stoppages tend to be infrequent and have short duration, they can lead to significant damages to customer satisfaction The number of meals which were prepared according to the chef specifications relative to the number of all meals that were effectively prepared in hotel’s restaurant represents an example of this indicator. non-conform to standards Efficiency E= Se Sp Se – Number of services delivered. Sp – Number of services planned to be The number of meals which were planed to be prepared relative to the number of meals that were effectively served in hotel’s restaurant represents an example of this indicator. delivered. 23 View publication stats