ITEM METADATA RECORD
Title: Using emotional intelligence to identify high potential: A metacompetency perspective
Authors: Dries, Nicky ×
Pepermans, R #
Issue Date: 2007
Series Title: Leadership and Organization Development Journal vol:28 issue:8 pages:749-770
Abstract: Purpose – This paper aims to demonstrate the utility of using some indication of emotional intelligence (EI) to identify high potential in managers. Presupposed correspondences between the EI personal factors model (Bar-On, 1997) and Briscoe and Hall’s (1999) metacompetency model of continuous learning are elucidated. Design/methodology/approach – The study sample consisted of 51 high potentials and 51 “regular” managers, matched onto one another by managerial level, gender and age. All
participants completed an online survey containing Bar-On’s Emotional Quotient Inventory (1997), Blau’s career commitment scale (1989) and a self-anchored performance item. Findings – EQ-i subscales assertiveness, independence, optimism, flexibility and social responsibility appear to be “covert” high-potential identification criteria, separating between high potentials and regular managers. Furthermore, high potentials display higher levels of job performance and, supposedly, less boundaryless career attitudes.
Practical implications – Using emotional intelligence – or at least some of its subscales – in identifying high potential may well contribute to the validity of such processes. Furthermore, the importance of cultivating positive emotions at work is spelled out in relation to highpotential identification and development policies and retention management.
Originality/value – In the majority of studies on high potentials, direct supervisors serve as research samples or a non-empirical, rather normative approach is taken to the matter. The empirical study presented in this paper is rather unique since it departs from the viewpoints of
high-potential individuals, thus delivering added value to the study domain.
ISSN: 0143-7739
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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