Why and when perceived overqualification drives positive relational outcomes: An optimal distinctiveness perspective
Keyu Chen and
Qiwei Zhou
Journal of Business Research, 2025, vol. 186, issue C
Abstract:
While the potential benefits of perceived overqualification are intriguing, it remains unclear why and when overqualified employees self-regulate to constructively engage with coworkers and promote positive relational outcomes. Based on optimal distinctiveness theory, we propose and test a moderated serial mediation model. This model posits that perceived overqualification enhances employees’ sense of distinctiveness, which increases their unmet need to belong. This heightened unmet need fosters interpersonal facilitation and approach-oriented relationship crafting. Additionally, servant leadership augments the effect of employees’ sense of distinctiveness, which is induced by perceived overqualification, on their unmet need to belong, making prosocial consequences more pronounced. The results of two studies (Study 1: a scenario-based experimental study with 259 employees; Study 2: a multi-wave survey study with 325 employees) support our hypotheses. These findings have both theoretical and practical implications for perceived overqualification, servant leadership, and optimal distinctiveness.
Keywords: Perceived overqualification; Optimal distinctiveness theory; Servant leadership; Interpersonal facilitation; Relationship crafting (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S014829632400554X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:186:y:2025:i:c:s014829632400554x
DOI: 10.1016/j.jbusres.2024.115050
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().