Evidence map›Paper›PMID 42129265›Full record

ArticleScientific reports2026

Toward contextualized research integrity in higher education: a fuzzy-set analysis of individual and organizational configurations among university faculty.

Zhenbin Chen, Baojun Tu, Moses Olabhele Esangbedo

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. 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

3 authors.

Zhenbin ChenSchool of Management Engineering, Xuzhou University of Technology, Xuzhou, 221018, Jiangsu, People's Republic of China.
Baojun TuCollege of Teachers, Xuzhou University of Technology, Xuzhou, 221018, Jiangsu, People's Republic of China.
Moses Olabhele EsangbedoSchool of Management Engineering, Xuzhou University of Technology, Xuzhou, 221018, Jiangsu, People's Republic of China. moses@xzit.edu.cn.

Funding

Jiangsu (China) Education Sciences Research Project B/2022/01/108Ministry of Education (China) Humanities and Social Sciences Research Project 22YJA880050
6 · The paper itself

Abstract

Amidst growing concerns over research misconduct in academic institutions, this study examines the complex causal mechanisms that influence research integrity among university faculty. In this article, we explore how the interplay between personal attributes and institutional environments influences ethical research behavior, drawing on perspectives from both individual and organizational dimensions. We analyzed data from 109 university teachers across six key conditions, including factors related to individual endowment and the organizational environment, using fuzzy-set Qualitative Comparative Analysis (fsQCA). The results revealed that no single factor is a necessary condition for ensuring research integrity. Four distinct causal pathways were identified as sufficient to promote integrity, reflecting the principle of equifinality. These findings revealed the various combinations of internal and external factors that can yield similar positive outcomes. Based on the results, promoting research integrity requires a contextualized approach, where universities should tailor interventions and institutional policies to the specific characteristics and needs of their faculty members. This configurational understanding enhances theoretical insights into ethical behavior in academic settings and offers practical guidance for fostering a culture of integrity in higher education.

Indexed as

Configurational analysisFuzzy-set qualitative comparative analysis (fsQCA)Individual characteristicsOrganizational behaviorResearch integrity

Identifiers

PMID42129265
PMCPMC13365587

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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.