The Impact of Career Boundarylessness on Subjective Career Success: A Contingency Approach Dr. Sidika Nihal Colakoglu February 15, 2007 Norfolk State University 1 Overview Background of the Study Gaps in Prior Research Objectives of the Study Research Model Definitions of the Study’s Constructs Research Hypotheses Research Design and Methodology Results Additional Analyses Discussion Conclusions Limitations Contributions of the Study Implications Suggestions for Future Research 2 Background and Impetus for the Study Emergence of “New Economy” (global competition, technological advances, shorter product cycles) Changes in organizational structures (leaner, flatter organizations), processes, and human resources practices (increased use of part-time and temporary employees) Increased rate of job loss resulting from downsizing, restructuring, mergers, and acquisitions Increased job mobility and decreased job stability Diminished sense of job security 3 Background and Impetus for the Study Changes in psychological contracts from relational to transactional A move from organization-driven careers to individual-driven careers (career agency) Heightened importance of subjective career Declining number of individuals pursuing a traditional, organizational career Emergence of boundaryless careers with unpredictable, discontinuous, disorderly paths 4 Gaps in Prior Research Lack of empirical research testing previously offered theoretical assertions regarding the consequences of experiencing a boundaryless career. Primary focus on consequences of boundaryless careers for macro level constituencies such as organizations, occupational groups, or society. Lack of a theoretical model explaining how and why experiencing a boundaryless career influences subjective career success. 5 Gaps in Prior Research Lack of research identifying and examining conditions under which one’s boundaryless career experience has positive or negative consequences for his/her career success. Lack of a comprehensive and continuous measure of career boundarylessness. 6 Objectives of the study Develop and test a contingency model that examines the impact of career boundarylessness on subjective career success. Identify and examine factors that explain the relationship between career boundarylessness and subjective career success. Identify and examine factors that moderate the relationship between career boundarylessness and subjective career success. Offer a comprehensive and continuous measure of career boundarylessness. 7 Is Career Boundarylessness a Boon or Bane? The Positive Link The Enactment Perspective (Arthur & Rousseau, 1996; Weick, 1996) Strong vs. Weak Situations Argument (Mischel, 1977; Weick, 1996) The Negative Link The Stress Perspective (Arthur, Inkson, & Pringle, 1999; Mirvis & Hall, 1996; Sullivan, 1999) 8 The Research Model Career Competencies - Knowing-why - Knowing-how - Knowing-whom Career Autonomy Subjective Career Success Career Boundarylessness Career Insecurity 9 The Positive Link Career Competencies - Knowing-why - Knowing-how - Knowing-whom H1b Career Boundarylessness H1a Career Autonomy H1c Subjective Career Success 10 The Negative Link Career Competencies - Knowing-why - Knowing-how - Knowing-whom H2b Career Boundarylessness H2a Career Insecurity H2c Subjective Career Success 11 Traditional Careers Life-time, permanent, fulltime employment in one or two organizations Job Stability Intra-organizational mobility: upward, orderly, and continuous moves. Career Outcomes Traditional Career vs. Boundaryless Career Years 12 Boundaryless Career Frequent mobility across: Organizations, jobs, occupations, geographical locations, and/or industries Different employment forms (part-time vs. full-time, temporary vs. permanent, organizational vs. self-employment) Inter-organizational mobility with discontinuous, disorderly, and multi-directional moves Career outcomes Traditional Career vs. Boundaryless Career Years/Jobs 13 Boundaryless Career “A career that crosses multiple boundaries in a non-linear manner” 14 Independent Variable Career Boundarylessness (CB)(1) The extent to which a person’s work-related experiences cross multiple boundaries in a non-linear manner (Arthur & Rousseau, 1996; Arthur et al., 1999; Mirvis & Hall, 1996). 15 Independent Variable Career Boundarylessness (2) Prerequisite: Inter-organizational mobility Mobility characteristics: 1. Frequency (how often boundaries crossed) 2. Type (what types of boundaries crossed e.g., occupational, industrial, geographical, and/or employment forms—part-time/full time; temporary/permanent; organizational/self employment ) 16 Independent Variable Career Boundarylessness (3) 3. Non-linearity (the extent of deviance from an orderly, continuous, upward career mobility) Direction of moves (upward, lateral, or downward in terms of objective career outcomes) Discontinuity of moves (employment gaps) 17 Mediators Career Autonomy (CA) The extent to which individuals perceive the freedom and discretion to determine and influence the pacing, shape, and direction of their careers (Ito & Brotheridge, 200; Tetrick & Larocco, 1987: Ashforth, 1989). 18 Mediators Career Insecurity (CIS) The sense of powerlessness to maintain desired employability in one’s career (Greenhalgh & Rosenblatt, 1984; Kanter, 1989). Perceived threat to the continuity of one’s employability Perceived threat to the quality of subsequent employment 19 Moderators Career Competencies: Knowing-why The extent to which an individual understands his or her motives, needs, abilities, interests, aspirations, and values as they relate to work and life experiences (Arthur et al, 1999; DeFillippi & Arthur 1994, 1996; Hall, 2002). 20 Moderators Career Competencies: Knowing-how The extent to which one develops a portfolio of work-related skills, knowledge, and understanding that are transferable to other employment settings (e.g., companies, occupations, or industries) (Arthur et al, 1999; DeFillippi & Arthur 1994, 1996). 21 Moderators Career Competencies: Knowing-whom The extent to which one develops a wide network of relationships that can provide information, influence, guidance, and support to the individual (Arthur et al, 1999; DeFillippi & Arthur 1994, 1996). 22 Dependent Variable Subjective Career Success (SCS) SCS: An person’s feelings of accomplishment and satisfaction with his/her career (Judge, Cable, Boudreau, & Bretz, 1995). Indicator of SCS -- Career Satisfaction: A person’s positive emotional state resulting from a personal evaluation of his or her career or career experience (Locke, 1976; Callanan, 1989). 23 Hypothesized Relationships The Positive Link H1a: There is a positive relationship between career boundarylessness and career autonomy. 24 Hypothesized Relationships The Positive Link H1b: The relationship between career boundarylessness and career autonomy is moderated by career competencies. The positive relationship between career boundarylessness and career autonomy is stronger for individuals with high career competencies than individuals with low career competencies. 25 Hypothesized Relationships The Positive Link H1c: There is a positive relationship between career autonomy and subjective career success. 26 Hypothesized Relationships The Negative Link H2a: There is a positive relationship between career boundarylessness and career insecurity. 27 Hypothesized Relationships The Negative Link H2b: The relationship between career boundarylessness and career insecurity is moderated by career competencies. The positive relationship between career boundarylessness and career insecurity is stronger for individuals with low career competencies than individuals with high career competencies 28 Hypothesized Relationships The Negative Link H2c: There is a negative relationship between career insecurity and subjective career success. 29 Research Design & Methodology Cross-sectional and correlational design Data collection Procedure Pre-test (paper-pencil survey) N=6 Pilot study (web-based survey) N=15 Primary study (web-based survey) N=201 (5%) response rate) Sample Drexel E-MBA Alumni (All Cohorts); MBA Alumni (cohorts from 1985 to 2004) and Current EMBA students. Criteria for selection of respondents Currently working individuals. 30 Measurement of Variables Career Boundarylessness (CB) Career Boundarylessness (CB) Anchors: “0” CB = A career spent in one organization High CB = A career which is crossing frequent, multiple boundaries in a non-linear manner. 31 Career Boundarylessness (CB): Dimensions Frequency = Org Number –1 Direction = Downward & Lateral Moves Type = (Occupation changes)+ (industry changes)+ (location changes)+ (self-employments)+ (employment status) Discontinuity Number of Breaks Number of Months one had no paid employment 32 Measurement of Variables Career Boundarylessness- Career History Grid First Organization Moving to this org. was a promotion, lateral or downward move With this move I changed my occupation With this move I changed my industry With this move I relocated I started as a I started as a I own(ed) This organization Yes No Full-time e. Part-time e. Permanent e. Temporary e. Yes No Not Applicable Not Applicable Not Applicable Before moving to this org. I took a career break Number of years in this org. Number of promotions in this org. Number of Lateral moves in this org. Number of downward moves in this org. Number of relocations moves in this org. My leaving this organization was None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 Voluntary Involuntary Still work/c. job Still work/with cur. job No Yes, it lasted -----months. ------years 33 Measurement of Variables Career Boundarylessness- Career History Grid Next Org. Moving to this org. was With this move I changed my occupation With this move I changed my industry With this move I relocated With this move I changed my emp. from With this move I changed my emp. from I own(ed) This organization Promotion Lateral Move Downward Move Yes No Yes No Yes No Full to Part-time Part to Fulltime. Remain Fullt Remain partt Perm. to temp Temp. to perm. Remain perm. Remain temp. Yes No Before moving to this org. I took a career break Number of years in this org. Number of promotions in this org. Number of Lateral moves in this org. Number of downward moves in this org. Number of relocations moves in this org. My leaving this organization was None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 None 1-3 4-6 7-10 More than 10 Voluntary Involuntary Still work/c. job Still work/with cur. job No Yes, it lasted -----months. ------years 34 Career Boundarylessness (CB): Composite Score Move Inter-org Mobility Direction Change Occupat ion Change Industry Change Location Change Selfemp. Emp. Status Change Number Of breaks CB Score org1 > org2 1 Promotion = 0 Lateral =1 Downward =1 Yes=1 Yes=1 Yes=1 Yes=1 Full-perm=0 Full-temp=1 Part-perm=1 Part-temp=1 Yes=1 Move 1 Max CB Score = 8 org2> org3 1 Promotion = 0 Lateral =1 Downward =1 Yes=1 Yes=1 Yes=1 Yes=1 Full-perm=0 Full-temp=1 Part-perm=1 Part-temp=1 Yes=1 Move 2 Max CB Score = 6 Total CB Score = CB Move 1 + CB Move 2 Total CB Score = 14 35 Measurement of Variables Mediators Variable Name Cronbach’s Alpha No. of items Source Career Autonomy 11 A combination of newly developed and modified items (Ito & Brotheridge, 2001; Tetrick & Larocco, 1987; Ashforth, 1989) .92 Career Insecurity 9 Newly Developed .90 36 Measurement of Variables Moderators Variable Name No. of items Source Cronbach’s Alpha Knowing-why competencies 8 Modified from Callanan (1989) .75 Knowing-how competencies 6 New items & Adopted from Eby, Butts, & Lockwood (2003) .87 Knowing-whom competencies 11 New Items & Adopted from Eby, Butts, Lockwood & (2003) .89 Knowing-whom/out competencies 8 New items & Adopted from Eby, Butts, & Lockwood (2003) .89 Knowing-whom/in Competencies 3 New Items & Adopted from Eby, Butts, Lockwood & (2003) .89 37 Measurement of Variables Control variables Career Tenure 38 Data Analysis Tests of Reliability and Validity Explanatory Factor Analyses--Cronbach’s Alpha Structural Equation Modeling (SEM): Confirmatory Factor Analyses Descriptive Statistics Measure of Central Tendency, Correlations Tests of Hypotheses SEM: Path Analysis Multi-group Analyses 39 CFA Results Model Chi-SQ Full CFA Model 947.3 DF 464 GFI .78 AGFI .75 IFI CFI .88 RMSEA .87 .07 Note: Because of a small sample size (N=201), full CFA model provided a rather poor fit to the data. For this reason, instead of a latent-variable model, an observed-variable model is preferred to be used in the subsequent analyses. 40 The SEM Model Direction Frequency Career Autonomy Occupation Change Industry Change Subjective Career Success Career Boundarylessness Location Change Employment Status Career Insecurity Self Employment Number of Breaks Duration of Breaks 41 The SEM Results .71** R1 Direction .95** .55** Frequency Occupation Change .69** Industry Change .74** Career Autonomy .14* Career Boundarylessness .23* Subjective Career Success .52** Location Change Employment Status -.08ns .58** Career Insecurity -.09ns R2 * p <.05 ** p <.001 Chi-Square = 41.9; df = 25; GFI = .96; Adj-GFI =.93; IFI = .97; CFI =.97; RMSEA =.06 42 The SEM Results--Summary Career Autonomy Subjective Career Success Career Boundarylessness Career Insecurity ------- Not significant ____ Significant 43 The SEM Results Summary: Direct Relationships From To Career Boundarylessness (CB) Career Autonomy (CA) Career Boundarylessness (CB) Career Insecurity (CIS) Standardized Regression Coefficient .14 * -.08 (NS) Hypothesis H1a: Supported H2a: Not Supported 44 Testing Moderator Relationships Multi-group Analysis Step 1: Full model fit assessment Step 2: Creating groups with a mean split Step 3: Obtaining pooled model Chi-square score and the degrees of freedom Step 4: Applying equality constraints to group models Step 5: Obtaining constrained model Chi-square score and the degrees of freedom Step 6: Checking for Chi-square difference significance to detect any group differences Step 7: If Chi-square difference is significant between pooled and constrained models, identifying individual paths that are significantly different between the groups. 45 The SEM Results Summary: Moderator Relationships Moderator From To K-why Competency CB Cautonomy NA H1b: Not Supp. CB CInsecurity NA H2b: Not Supp. CB Cautonomy NA H1b: Not Supp. CB CInsecurity NA H2b:Not Supp. CB Cautonomy NA H1b: Not Supp. CB CInsecurity NA H2b:Not Supp. K-how Competency K-whom Competency Sig. of Chi-sq Difference Hypothesis 46 The SEM Results Summary: Intermediary Relationships From To Sig. Hypothesis Cautonomy Career Success .55*** H1c: Supported Cinsecurity Career Success -.09 H2c: Not Supp. 47 Additional Analyses (CB vs. Career Autonomy & Career Insecurity-Summary) Variables Type (Dimensions) Career Boundarylessness (composite) Career Autonomy Career Insecurity 0.131 0.023 Frequency 0.449** -0.188 Direction -0.379** 0.145 Number of Breaks -0.025 0.236** Duration of Breaks -0.010 -0.208* Type -0.016 0.080 -0.193* 0.236** Industry Change 0.048 0.005 Location Change 0.069 -0.225** Employment Status -0.051 0.033 0.387** -0.244** Occupational Change Self-employment *p > .05 ; **p > .01 48 Additional Analyses Career Competencies Direct Relationships Summary Varia bles Career Autonomy Career Insecurity - Knowing -why Competencies 0.307** -0.128† Knowing -how Competencies 0.144† -0.122 Knowing -whom Competencies 0.114 -0.252** Internal Kno wing-whom Competencies -0.045 -0.213** External Knowing -whom Competencies 0.148* -0.121† † p <.10 * p < .05 ** p <.01 49 Discussion: Findings Direct Relationships Composite career boundarylessness score predicts career autonomy but not career insecurity. Individual dimensions of career boundarylessness predict career autonomy and career insecurity better than the composite career boundarylesness score. More specifically: Frequent inter-organizational moves and self-employment increase one’s career autonomy,whereas occupational changes and more conventional lateral and downward mobility across organizations reduce one’s career autonomy. While career insecurity is decreased by location changes, selfemployment, and long career breaks, it is increased by occupational changes and higher number of career breaks. 50 Discussion: Findings Intermediary Relationships The Positive Link: Career autonomy emerges to be an important variable to explain why career boundarylessness may lead enhanced career satisfaction. The Negative Link: Not Applicable 51 Discussion: Findings Moderator Relationships: Not Supported However, additional regression analyses revealed some support for direct relationships. More specifically, Knowing-why, and external knowing-whom competencies enhance career autonomy. Internal knowing-whom competencies reduce career insecurity. 52 Conclusions There is a positive relationship between career boundarylessness and subjective career success when Career boundarylessness leads to enhanced feelings of autonomy one experiences in his/her career. 53 Conclusions Some dimensions of career boundarylessness lead to enhanced career autonomy. Frequent moves across organizations Self-employment. Some individuals experience more autonomy in their careers. These individuals are: Individuals with extensive understanding of themselves in terms of career-related motives, needs, abilities, interests, aspirations, and values. Individuals with a portfolio of work-related skills, knowledge, and understanding that are transferable to other employment settings (e.g., companies, occupations, or industries). Individuals with a wide network of relationships outside of their current organization. 54 Conclusions Some dimensions of career boundarylessness lead to increased career insecurity. Occupational changes, Higher number of career breaks. Some individuals experience less career insecurity. These individuals are: Individuals with a wide network of relationships (inside and outside of one’s current organization and industry) that provide information, support, and guidance to them. 55 Limitations Cross-sectional, correlational design does not permit conclusions regarding causality. Low response rate Limited generalizability Self-report data Common Method Variance 56 Contributions Empirically testing previously offered theoretical assertions regarding the consequences of experiencing a boundaryless career from an individual’s point of view. Developing and testing a model that examines the impact of career boundarylessness on subjective career success. Identifying intermediary variables that explain the relationship between career boundarylessness and subjective career success. Developing a continuous measure of career boundarylessness. 57 Implications The study’s results suggest that developing knowing-why, knowing-how, and knowing-whom competencies are instrumental for individuals to take full advantage of their careers. Thus; For individuals, the successful pursuit of a boundaryless career requires ongoing effort and investment in simultaneously developing all these three competencies. In terms of organizations, they can structure and implement programs and activities to support the development of these important competencies. They can offer, for example, Career services such as self-assessments and career counseling to help individuals understand themselves better. Training programs, seminars, and certification programs that constantly update knowledge and skill bases of their employees. Mentoring programs and various networking activities in which the employees can expand their inside and outside of the organization networks. 58 Suggestions for Future Research More in-depth understanding of career boundarylessness construct and its measure (e.g., dimensions). Studying different populations other than MBA Alumni to improve the generalizabilty of the study results. Using a longitudinal study design to make causal inferences regarding the study results. Expanding the study to examine the relationship between career boundarylessness and work-related attitudes and behaviors (e.g., job satisfaction, organizational commitment, and turnover). 59 THANK YOU 60