Distinguishing CEOs from top level management: A profile analysis of individual differences, career paths and demographics

Thomas Booth, Aja Louise Murray, Mathilde Overduin, Maddelyn Matthews, Adrian Furnham

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Pages (from-to)1-12
JournalJournal of Business and Psychology
Early online date11 Aug 2015
Publication statusPublished - 2015

Keywords / Materials (for Non-textual outputs)

  • personality
  • five factor model
  • CEO
  • profile analysis


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