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Although extroversion and proactive personality are related to career success, the mechanisms through which the relationships occur are unclear. Based on the contest- and sponsored-mobility processes, we examine a model linking extroversion and proactive personality to career success through the mediating effects of mentoring received and organizational knowledge. We also theorize that mentoring provides learning opportunities, which result in greater organizational knowledge, that contribute to career success. Results, from a sample of 333 employees with a diverse set of occupations, indicated that the relationships of proactive personality and extroversion with objective and subjective measures of career success were mediated by mentoring received and organizational knowledge. Additionally, mentoring received influenced organizational knowledge, and both were related to objective and subjective measures of career success. Our study provides insight into how personality influences career success and provides support for both contest- and sponsored-mobility models of career success.

PurposeThe purpose of this paper is to integrate scholarship on personality, mentoring, developmental relationships, and social networks in delineating how employees with particular personality characteristics are more or less likely to be involved in four types of developmental networks.Design/methodology/approachThe paper reviews scholarship on personality characteristics and developmental relationships to identify a set of distinct personality characteristics proposed to be related to employees' tendencies to develop four types of developmental networks. These network types are defined based on high or low relationship strength and high or low relationship diversity in employee ties with others. We develop propositions delineating the nature of expected relationships of these personality characteristics with developmental network types.FindingsThe paper identifies five personality characteristics – interdependent/independent self‐construal, core self‐evaluations, openness to experience, conscientiousness, and extroversion/introversions – and explained how each should be related to employees' tendencies to develop the four types of developmental networks. These networks have been described as opportunistic, entrepreneurial, receptive, and traditional developmental networks, based upon the strength and the diversity of network relationships.Originality/valueThe paper suggests that personality variables are potentially valuable for understanding how individuals develop particular types of developmental relationships, an area that deserves more research attention. It is noted that developmental relationships have been shown to be related to both employees' objective career outcomes such as promotions and salary progress, and subjective outcomes such as career and job satisfaction.

Purpose -This study examines the relationship between domain-based life satisfaction (LS) and subjective well-being (SWB) as well as the role of spiritual well-being as a moderator. Domains of LS include family cohesion, social connectedness, career success, and self-esteem. Design/methodology/approach -A survey was completed by 145 full-time Hong Kong Chinese employees working in a variety of jobs and organizations. Findings -Multiple regression analyses show that career success, social connectedness, and self-esteem are associated with both psychological and physical well-being. Spiritual well-being moderated the relationship between career success and psychological well-being. The relationship is stronger for low than for high spirituality.Research limitations/implications -All data were self-reported and collected at one point in time. Thus, common method variance may be an issue and causal inferences are not warranted. Practical implications -Domain-specific LS and spiritual well-being appear to be related to employees' well-being. Managers and human resources professionals may need to adopt a more holistic approach to staff development. Originality/value -The current study indicates that domain-specific LS improves the explanation of variations in well-being. Implications of these findings, the limitations of the study, and directions for future research are discussed.

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