Evidence map›Paper›PMID 36829396›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

Flexible Work Arrangements and Employees' Knowledge Sharing in Post-Pandemic Era: The Roles of Workplace Loneliness and Task Interdependence.

Jin Cheng, Xin Sun, Yana Zhong, Kunlin Li

Abstract 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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. The Double-Edged Sword Effect of Team Job Insecurity on Team Resilience.Behavioral sciences (Basel, Switzerland) · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jin ChengSchool of Management, Xiamen University, Xiamen 361005, China.
Xin SunSchool of Management, Xiamen University, Xiamen 361005, China.ORCID 0000-0002-9043-5723
Yana ZhongSchool of Management, Xiamen University, Xiamen 361005, China.
Kunlin LiSchool of Management, Xiamen University, Xiamen 361005, China.

Funding

Fujian Provincial Social Science Foundation FJ2022B054
6 · The paper itself

Abstract

Flexible work arrangements (FWAs) have become prevalent working norms in the post-pandemic era, but are they beneficial to employees' work? From the theoretical perspective of social exchange, previous studies have viewed FWAs as supportive practices that facilitate employees' functional intrapersonal outcomes. However, little is known about the interpersonal effects of FWAs. Based on the affective events theory, this study aims to elucidate why and when FWAs are associated with employees' knowledge sharing. A web-based survey of 314 respondents (Study 1) and a three-wave field research study of 343 employees (Study 2) provided valid questionnaires to examine the hypothesized theoretical relationships. Our findings reveal that employees who frequently adopt FWAs would produce a persistently negative affective experience-workplace loneliness-further discouraging their intentions to share knowledge with coworkers. The specific work-characteristic conditions in this relationship-task interdependence would mitigate the dysfunctional effect of FWAs on employees' knowledge sharing via workplace loneliness. Our study advances the understanding of FWAs' dysfunctional impacts on employees' knowledge sharing from the theoretical perspective of affective reactions. Our findings remind managers to avoid the interpersonal pitfalls of FWAs by increasing task interdependence among employees.

Indexed as

affective events theoryFWAsknowledge sharingtask interdependenceworkplace loneliness

Identifiers

PMID36829396
PMCPMC9952123

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.