Evidence map›Paper›PMID 37753980›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Do Illegitimate Tasks Lead to Work Withdrawal Behavior among Generation Z Employees in China? The Role of Perceived Insider Status and Overqualification.

Pengxiang Fan, Hao Zhang, Songlin Yang, Zixuan Yu, Ming Guo

Erratum issuedAbstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Pengxiang FanSchool of Economics and Management, Beijing Jiaotong University, Beijing 100089, China.
Hao ZhangSchool of Economics, University of Amsterdam, 1018 WV Amsterdam, The Netherlands.
Songlin YangSchool of Economics and Management, Beijing Jiaotong University, Beijing 100089, China.
Zixuan YuSchool of Economics and Management, Beijing Jiaotong University, Beijing 100089, China.
Ming GuoSchool of Economics and Management, Beijing Jiaotong University, Beijing 100089, China.

Funding

National key research and development program 2021YFC3001501-04
6 · The paper itself

Abstract

Generation Z employees in the workplace cause a management challenge that enterprises have recently faced. The unique characteristics of Generation Z employees necessitate an urgent update to the knowledge of organizational management. However, few studies of the literature focus on the workplace behaviors of Generation Z. This study proposes that illegitimate tasks may lead to work withdrawal behavior among Generation Z employees. Based on the equity theory model, this study constructed a moderated mediation model to explore the impact of illegitimate tasks on the work withdrawal behavior of Generation Z employees, as well as the mediating role of perceived insider status and the moderating role of perceived overqualification. The analysis of survey data from 283 Generation Z employees in China at two time points found that illegitimate tasks are positively correlated with work withdrawal behavior. At the same time, the mediating role of perceived insider status was successfully confirmed. The results also showed that perceived overqualification strengthened the effect of illegitimate tasks on work withdrawal behavior and the mediating effect of perceived insider status. This study offers new insights into the management and development of Generation Z employees and the sustainable evolution of workplace relationships from both theoretical and practical perspectives.

Indexed as

Generation Z employeeillegitimate taskperceived insider statusperceived overqualificationwork withdrawal behavior

Identifiers

PMID37753980
PMCPMC10525576

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.