自我传播
透视图(图形)
人才管理
模棱两可
人际交往
知识管理
社会学
标准化
现象
心理学
认识论
公共关系
工程伦理学
计算机科学
社会心理学
政治学
哲学
人工智能
程序设计语言
操作系统
工程类
作者
Reza Tahmasebi,Sanne Nijs
标识
DOI:10.1080/09585192.2023.2250261
摘要
AbstractWith this paper, we aim to challenge the current theorizing in talent management (TM) that has generally been based on oversimplified assumptions, often approaching TM from a binary or an either/or perspective. We claim that adopting a paradox lens in which a both/and perspective is taken is essential to further deepen our theoretical understanding of the ill-understood tensions and ambiguities that are inherently part of managing talent. In this article, we take a paradox perspective to unravel the complexity of talent management by systematically reviewing the nature and prominence of paradoxes and their response mechanisms in the talent management literature and from the intrapersonal, interpersonal, and organizational levels. We identified six primary paradoxes: (a) opportunities vs. pressures (at the intrapersonal level); (b) positive vs. negative effects of TM programs on employees (at the interpersonal level); and (c) talent as objective reality vs. socially constructed; (d) exclusiveness vs. inclusiveness; (e) transparency vs. ambiguity; and (f) standardization vs. customization (at the organizational level). Our review resulted in a multi-level framework of paradoxes in talent management and responds to calls for more pluralistic and balanced approaches to talent management. We believe that our review can assist researchers in adopting both/and perspectives when studying the complexity of the talent management phenomenon and can assist TM practitioners in navigating multiple paradoxes that are inherent to managing talent.Keywords: Talenttalent managementparadox theorytensionmulti-level Data availability statementThe data that support the findings of this study are available from the corresponding author, [author initials], upon reasonable request.Notes1 The references marked with an asterisk (*) have been included in the systematic review.2 These articles published online in 2021: Cooke et al. (Citation2022); Kamoche and Leigh (Citation2022); McDonnell et al. (Citation2023); Tan (Citation2023); Usanova et al. (Citation2022).
科研通智能强力驱动
Strongly Powered by AbleSci AI