Evidence map›Paper›PMID 42069705›Full record

ArticleBMC psychology2026

How team forgiveness climate influences innovative performance in college student innovation teams: a moderated mediation model.

Honghao Hu, Chao Li, Jonas Valkonen, Haoluan Fu

Abstract read
In one paragraph

Article in BMC psychology, 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

4 authors.

Honghao Hu *School of Business Administration, Zhejiang Financial College, 118 Xueyuan Street, Hangzhou, Zhejiang, 310018, China.
Chao Li *School of Management, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, Zhejiang, 310058, China.
Jonas Valkonen *School of Management, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, Zhejiang, 310058, China.
Haoluan FuDepartment of Psychology and Behavioral Sciences, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, Zhejiang, 310058, China. flander_fu@zju.edu.cn.

Funding

Zhejiang Federation of Social Sciences Research Project 2026N037
6 · The paper itself

Abstract

By integrating team design theory and organizational learning theory within an input-process-output (IPO) framework, this study examines the relationships among team forgiveness climate, team learning from mistakes and team innovative performance. We propose a moderated mediation model in which team learning from mistakes serves as the mediating mechanism and team shared vision functions as a strategic boundary condition. Survey data were collected from 145 college student innovation teams from a comprehensive university in East China. The results indicate that team forgiveness climate is positively associated with team innovative performance, and team learning from mistakes mediates this relationship. Team shared vision positively moderates the relationship between team forgiveness climate and team learning from mistakes. Furthermore, when team shared vision is high, team learning from mistakes significantly mediates the relationship between team forgiveness climate and team innovative performance. These findings extend the application of forgiveness research to the team level within student innovation contexts and offer preliminary practical insights for fostering innovation in student-led research projects.

Indexed as

Cooperative BehaviorForgivenessGroup DynamicsLearningStudentsAdultChinaFemaleHumansMaleSocial GroupUniversitiesYoung AdultStudent innovation teamsTeam forgiveness climateTeam learning from mistakesTeam shared vision

Identifiers

PMID42069705
PMCPMC13281651

What OpenQuestion holds

Textmetadata
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.