Evidence map›Paper›PMID 39696658›Full record

ArticleBMC psychology2024

Enhancing employee job satisfaction through organizational climate and employee happiness at work: a mediated-moderated model.

Yu Jianchun

RetractedAbstract readRetracted Publication
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The Impact of Organizational Climate Toward Sexual Minority Workers on Burnout: The Mediating Role of Quality of Work Life.New solutions : a journal of environmental and occupational health policy : NS · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Yu JianchunSchool of Economics and Management, Weifang University of Science and Technology, Shandong, 262700, China. yjch10591@wfust.edu.cn.ORCID http://orcid.org/0009-0006-8504-6703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Chinese educational sector is dynamic; hence, there is a need to anchor the factors that influence faculty job satisfaction and performance. These are channeled through organizational climate (OrgC) and employee happiness (EmH). The growing integration of artificial intelligence applications (AIAs)-like ChatGPT-into the learning environment raises questions about AIAs' moderating role in the relationship between EmH at work and EJoS. PURPOSE: This research empirically examines the influence of OrgC on EmH, the direct and mediated impacts of EmH on EJoS, and the moderating effect of AIAs on the influence of EmH on EJoS. DESIGN/METHODOLOGY: Data was collected from faculty members of various Chinese universities. Using SmartPLS version 4.1, I have analyzed six hypotheses and the corresponding research questions.

findingsThe outcomes include favorable effects of OrgC on EmH and EJoS. EmH significantly correlates with EJoS, partially mediating the relationship between OrgC and EJoS. Interestingly, the research did not find evidence that AIAs moderated the relationship (ChatGPT) between EmH and EJoS. The predictors (OrgC and EmH) and moderation of AIAs explained a 51.9% change in EJoS, and EJoS explained a 13.3% variance in employee job performance.

conclusionThis study's findings support a supportive OrgC as the key instrument for improving employees' happiness and job satisfaction. AI assistants, such as ChatGPT, provide relative efficiency and support but do not significantly affect how EmH at work relates to job satisfaction.

Indexed as

HappinessJob SatisfactionOrganizational CultureAdultArtificial IntelligenceChinaFacultyFemaleHumansMaleMiddle AgedUniversitiesArtificial intelligence applicationsEmployee happinessEmployee performanceJob satisfactionOrganizational climate

Identifiers

PMID39696658
PMCPMC11657427

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.