Sustainability driven mechanism underlying crowdsourcing solvers’ innovation behavior in the digital era evidence from SEM and fsQCA

To explore the impact mechanism of service quality in the context of crowdsourcing communities on solvers' innovation behavior, taking organizational psychological ownership and continuous knowledge contribution intention as mediators, and interdependent self-construal as moderator, this study uses structural equation modeling and fuzzy set qualitative comparative analysis (fsQCA) with 802 samples of crowdsourcing solvers to verify the theoretical model. The results show that service quality in the context of crowdsourcing communities is divided into three dimensions, all of which positively promote solvers' innovation behavior. Organizational psychological ownership and continuous knowledge contribution intention play a chain-mediating role in this process. Interdependent self-construal positively moderates the relationship between environmental quality and organizational psychological ownership. The results of the fsQCA using environmental quality, interaction quality, outcome quality, organizational psychological ownership, continuous knowledge contribution intention, and interdependent self-construal as antecedent conditions, with solvers' innovation behavior as the outcome condition, support the above conclusions. Additionally, the analysis identifies three configurations of antecedent conditions to enhance solvers' innovation behavior.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-01-07
DOI
https://doi.org/10.1038/s41598-025-28036-z
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainability driven mechanism underlying crowdsourcing solvers’ innovation behavior in the digital era evidence from SEM and fsQCA

Xiangshan Jin
Scientific Reports
Qualitative Comparative Analysis Research
article

Sustainability driven mechanism underlying crowdsourcing solvers’ innovation behavior in the digital era evidence from SEM and fsQCA

Xiangshan Jin
article en

Abstract

To explore the impact mechanism of service quality in the context of crowdsourcing communities on solvers' innovation behavior, taking organizational psychological ownership and continuous knowledge contribution intention as mediators, and interdependent self-construal as moderator, this study uses structural equation modeling and fuzzy set qualitative comparative analysis (fsQCA) with 802 samples of crowdsourcing solvers to verify the theoretical model. The results show that service quality in the context of crowdsourcing communities is divided into three dimensions, all of which positively promote solvers' innovation behavior. Organizational psychological ownership and continuous knowledge contribution intention play a chain-mediating role in this process. Interdependent self-construal positively moderates the relationship between environmental quality and organizational psychological ownership. The results of the fsQCA using environmental quality, interaction quality, outcome quality, organizational psychological ownership, continuous knowledge contribution intention, and interdependent self-construal as antecedent conditions, with solvers' innovation behavior as the outcome condition, support the above conclusions. Additionally, the analysis identifies three configurations of antecedent conditions to enhance solvers' innovation behavior.

Scientific ReportsVol. 16(1)
Tianjin University of Commerce (CN)
National Office for Philosophy and Social Sciences
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
Qualitative Comparative Analysis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.