Distinguishing CEOs from Top Level Management: A Profile Analysis of Individual Differences, Career Paths and Demographics
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Identifying the characteristics of chief executive officers (CEOs) has been a longstanding goal in leadership and individual differences research. The purpose of this exploratory study was to consider which individual difference and career path variables differentiate CEOs from other senior managers.
Participants (N = 1152) were UK-based senior managers (n = 1040) and CEOs (n = 112) who completed a self-report measure of the Five Factor Model of personality (NEO-PI-R), a measure of cognitive ability (graduate and management aptitude test), and answered a number of additional questions on their career paths as part of development centres. Analyses comprised inter-individual mean difference tests, intra-individual external profile analysis and logistic regression.
Results indicated that personality facets of impulsiveness, vulnerability, activity and dutifulness showed the largest mean differences. No significant effects were found for the criterion profile pattern, but significant effects were found for profile level. Of the additional predictors, career path variables were the strongest predictors of CEO status.
The combination of significant effects across domains of individual differences and career path variables emphasizes the importance of a multivariate approach in the study of leadership, top management teams and career progression.
The current study combines personality, cognitive ability, demographic and career path variables, and applies intra-individual methodologies to explore the characteristics of the very top level of organisational hierarchy.
KeywordsPersonality Five factor model Profile analysis CEO
The authors would like to thank Prof. Mark Davison (Department of Educational Psychology, University of Minnesota) for comments on an early draft of this manuscript, and John Crump from Kaisen Consulting for access to the data.
- Akaike, H. (1976). An information criterion (AIC). Math Sci, 14, 5–9.Google Scholar
- Barrick, M. R., Mount, M. K., & Judge, T. A. (2001). Personality and performance at the beginning of the new millennium: What do we know and where do we go next? Personality and Performance, 9, 9–30.Google Scholar
- Blinkhorn, S. (1985). Graduate and managerial assessment manual and user guide. Dorchester: Dorset Press.Google Scholar
- Bono, J. E., Shen, W., & Yoon, D. J. (2014). Personality and leadership: Looking back, looking ahead. In D. Day (Ed.), The Oxford handbook of leadership and organizations. Oxford: Oxford University Press.Google Scholar
- Bulut, O., & Desjardins, C. D. (2013). profileR: Profile analysis of multivariate data in R. R package version 0.2-1. http://CRAN.R-project.org/package=profileR. Accessed 13 July 2015.
- Cannella, A. A., Park, J. H., & Lee, H. U. (2008). Top management team functional background diversity and firm performance: Examining the roles of team member colocation and environmental uncertainty. Academy of Management Journal, 51, 768–784.Google Scholar
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Costa, P. T., & McCrae, P. R. (1992). Revised NEO-personality inventory (NEO-PI-R) and NEO five factor inventory (NEO-FFI): Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
- Culpepper, S. A. (2008). Conducting external profile analysis with multiple regression. Practical Assessment, Research & Evaluation, 13(1). Retrieved from http://pareonline.net/pdf/v13n1.pdf.
- Desjardins, C. D. (2012). profanal: Implements profile analysis described in Davison & Davenport (2002). R package version 1.0. http://CRAN.R-project.org/package=profanal. Accessed 13 July 2015.
- Hambrick, D. C., & Mason, P. A. (1984). Upper echelons: The organization as a reflection of its top managers. Academy of Management Review, 9, 193–206.Google Scholar
- Harrell, F. E. (2012). rms: Regression modeling strategies. R package version 3.6-2. http://CRAN.R-project.org/package=rms. Accessed 13 July 2015.
- Hogan, R., & Judge, T. (2013). Personality and leadership. In M. G. Rumsey (Ed.), The Oxford handbook of leadership (p. 37). New York: Oxford University Press.Google Scholar
- Judge, T. A., Rodell, J. B., Klinger, R. L., Simon, L. S., & Crawford, E. R. (2013). Hierarchical representations of the five-factor model of personality in predicting job performance: Integrating three organizing frameworks with two theoretical perspectives. Journal of Applied Psychology, 98, 875–925.CrossRefPubMedGoogle Scholar
- Nielsen, S. (2010). Top management team diversity: A review of theories and methodologies. International Journal of Management Reviews, 12, 301–316.Google Scholar
- Schmidt, F. L., & Hunter, J. E. (2000). Select on intelligence. In E. A. Locke (Ed.), Handbook of principles of organizational behavior (pp. 3–14). Oxford: Blackwell.Google Scholar
- Spector, P. E., Rogelberg, S. G., Ryan, A. M., Schmitt, N., & Zedeck, S. (2014). Moving the pendulum back to the middle: Reflections on an introduction to the inductive research special issue of the Journal of Business and Psychology. Journal of Business and Psychology, 29, 499–502.CrossRefGoogle Scholar