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Journal of Organizational Behavior
Article . 2012 . Peer-reviewed
License: Wiley Online Library User Agreement
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Differentiating cognitive and affective job insecurity: Antecedents and outcomes

Authors: Guo‐hua Huang; Xiongying Niu; Cynthia Lee; Susan J. Ashford;

Differentiating cognitive and affective job insecurity: Antecedents and outcomes

Abstract

SummaryTo test a proposed model of the job insecurity (JI) process that treats cognitive JI and affective JI as separate constructs, this study investigates organizational‐level employee involvement and communication practices that influence the level of cognitive JI; increasing levels of cognitive JI in turn can create an affective reaction (i.e., affective JI). This affective reaction then influences individual psychological and behavioral outcomes. With two waves of data from three large Chinese organizations, the model test results show that employee involvement decreases cognitive JI perceptions. This reduction then leads to lower affective JI. Affective JI in turn relates negatively to employee psychological well‐being but positively to both supervisor‐rated job performance and affective JI six months later. The effect of cognitive JI on employee outcomes is partially through affective JI. Cognitive JI has a direct impact on psychological well‐being but not on job performance. These findings offer key theoretical and practical implications. Copyright © 2012 John Wiley & Sons, Ltd.

Country
United States
Related Organizations
Keywords

Job Insecurity, Employee Communication, Employee Involvement, Cognitive Job Insecurity, Sociology, Economics, Social Sciences, Business, Business (General), Affective Job Insecurity

  • BIP!
    Impact byBIP!
    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).
    115
    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 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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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!
115
Top 1%
Top 10%
Top 10%
bronze