Evidence map›Paper›PMID 40825021›Full record

ArticlePloS one2025

Impact of technological turbulence and competitive intensity on employee job performance: The role of workplace digitalization and job crafting.

Teng Liu, Cisheng Wu, Kexin Zhang, Manman Ge

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Teng LiuSchool of Management, Hefei University of Technology, Hefei, Anhui Province, China.ORCID https://orcid.org/0000-0003-4887-974X
Cisheng WuSchool of Management, Hefei University of Technology, Hefei, Anhui Province, China.
Kexin ZhangSchool of Management, Hefei University of Technology, Hefei, Anhui Province, China.
Manman GeSchool of Management, Hefei University of Technology, Hefei, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the "environment-behavior-performance" paradigm, we aim to examine how the environment influences employee behavior and job performance. We subdivide the environment into the organizational external environment (dynamic environment, including technological turbulence and competitive intensity) and the specific internal work environment (workplace digitalization). Drawing on uncertainty reduction theory and conservation of resources theory, we validate the chain mediating mechanism through which technological turbulence and competitive intensity affect job performance via workplace digitalization and job crafting. The results indicate that technological turbulence has a significant direct positive effect on job performance (b = 0.233, p < .01). Additionally, it indirectly enhances job performance through a chain mediation pathway involving increased workplace digitalization and higher levels of avoidance crafting (b = 0.021, 95% CI [0.001, 0.056]). In contrast, the direct effect of competitive intensity on job performance is not statistically significant (b = 0.146, p = .126); however, it indirectly improves job performance through increased workplace digitalization and both approach crafting (b = 0.121, 95% CI [0.064, 0.205]) and avoidance crafting (b = 0.051, 95% CI [0.022, 0.105]). Overall, this study applies a multi-level chain mediation model to provide empirical evidence that enriches and extends existing research on the effects of dynamic environments on employee job performance.

Indexed as

Competitive BehaviorWork PerformanceWorkplaceAdultFemaleHumansMale

Identifiers

PMID40825021
PMCPMC12360592

What OpenQuestion holds

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LicenceCC BY
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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.