Evidence map›Paper›PMID 42409863›Full record

ArticleScientific reports2026

Perceived organizational politics and employees' innovative behavior: a cross-level joint moderation model.

Xiaona Xu, Jingxue Wang, Yan Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Xiaona XuSchool of Economics and Management, Shenyang Aerospace University, No. 37 Daoyi South Street, Shenyang, 110136, Liaoning, People's Republic of China. 20220075@email.sau.edu.cn.
Jingxue WangSchool of Economics and Management, Shenyang Aerospace University, No. 37 Daoyi South Street, Shenyang, 110136, Liaoning, People's Republic of China.
Yan LiuSchool of Economics and Management, Shenyang Aerospace University, No. 37 Daoyi South Street, Shenyang, 110136, Liaoning, People's Republic of China.

Funding

Shenyang Aerospace University Introduction of Talent Research Start-up Fund Grant 23YB12Social Science Planning Fund of Liaoning Province L23CGL003
6 · The paper itself

Abstract

Although prior research has linked perception of organizational politics (POP) to employees' innovative behavior (EIB), the cross-level boundary conditions under which political skill and environmental uncertainty jointly shape this relationship remain underexplored. This study investigates the impact of POP on EIB, and introduces political skill (at the individual level) and environmental uncertainty (at the organizational level) to further examine the cross-level boundary conditions, i.e., the interactive effects of individual-level and organizational-level factors. Based on an empirical study of 402 samples from 39 Chinese companies, the results indicated that the POP was negatively related to EIB, and political skill negatively moderated the relations between POP and EIB. Moreover, political skill better reduced the negative impact of POP on EIB in organizations with higher environmental uncertainty. Our findings uncover the constraining mechanism of POP on EIB from a cross-level perspective, focusing specifically on how political skill and environmental uncertainty jointly moderate this relationship. The aim is to uncover the interaction pattern between individual and organizational factors within a behavioral science framework, rather than offering prescriptive managerial guidelines. This study accordingly extends the theoretical scope of research on organizational politics and environmental uncertainty.

Indexed as

Employees’ innovative behaviourEnvironmental uncertaintyJoint moderating effectPerception of organizational politicsPolitical skill

Identifiers

PMID42409863
PMCPMC13534711

What OpenQuestion holds

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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.