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Applied Psychology
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Are adaptable employees more likely to stay? Boundaryless careers and career ecosystem perspectives on career adaptability and turnover

Authors: Fuxi Wang; Ying Xu; Xinyi Zhou; Anguo Fu; Yanjun Guan; Zhuolin She; Zhimei Wang; +1 Authors

Are adaptable employees more likely to stay? Boundaryless careers and career ecosystem perspectives on career adaptability and turnover

Abstract

Abstract Employees with higher career adaptability (CA) have been shown in previous research to be more likely to build high‐quality social exchange relations with current employers, thereby displaying a lower intention to leave. Based on boundaryless careers and career ecosystem perspectives, this study aimed to challenge and enrich the extant understanding of this important question by examining the mixed effects of CA on turnover behavior. Results from a three‐wave survey study with 179 Chinese employees show that after controlling the baseline turnover intention (Time 1), CA (Time 1) predicted both affective commitment and relative deprivation at Time 2 (6 months after Time 1), which in turn produced opposite effects on voluntary turnover behavior at Time 3 (12 months after Time 1). Moreover, the boundaryless career mindset positively moderated the relationship between CA and relative deprivation and strengthened the indirect positive effect of CA on turnover behavior via relative deprivation. These results offer a more comprehensive and balanced view of the mixed role of CA in employees' turnover behavior and carry important implications for human resource management.

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Average
Top 10%
Green