Evidence map›Paper›PMID 38239480›Full record

ArticleFrontiers in psychology2023

Organizational support and task performance: a multiple mediation model.

Xiaoyuan Chu, Jingyue Yu, Alafate Litifu, Wenlu Zhao, Xinyi Wei, Pengcheng Wang, Jun Wei

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Xiaoyuan ChuSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Jingyue YuSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Alafate LitifuSchool of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China.
Wenlu ZhaoSchool of Network Education, Beijing University of Posts and Telecommunications, Beijing, China.
Xinyi WeiDepartment of Psychology, Renmin University of China, Beijing, China.
Pengcheng WangSchool of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.
Jun WeiSchool of Business, NingboTech University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Organizational support has been identified as one of the causes for task performance, while previous studies have not adequately explored the underlying mechanisms. Thus, this study aims to reveal the potential mechanisms that linked organizational support to task performance. Methods: A questionnaire survey was conducted among the 720 participants from 12 audit firms in Beijing in December 2020. Participants completed anonymous questionnaires assessing their organizational support, task performance, organizational commitment, and job satisfaction. Data analysis was conducted with SPSS 26.0. Results: (1) Organizational support was positively associated with task performance, (2) job satisfaction and organizational commitment both mediated the relationship between organizational support and task performance respectively, and (3) the relationship between organizational support and task performance was also serially mediated by job satisfaction and then organizational commitment. Conclusion: Job satisfaction and organizational commitment played a serial multiple mediating role in the association between organizational support and task performance, which provides a potential path for improving task performance.

Indexed as

auditorsjob satisfactionorganizational commitmentorganizational supporttask performance

Identifiers

PMID38239480
PMCPMC10794521

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.