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Integrating UTAUT and social exchange theory to decipher knowledge-sharing in crowdsourcing

Xie, Haoyu; Zamani, Efpraxia; Mazumdar, Suvodeep; Checco, Alessandro

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Authors

Haoyu Xie

Suvodeep Mazumdar

Alessandro Checco



Abstract

Microtask crowdsourcing platforms enable rapid, large-scale completion of simple tasks by a globally distributed workforce. This study investigates the factors influencing knowledge-sharing behaviours among crowdworkers, integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with Social Exchange Theory (SET) to provide a comprehensive understanding of these dynamics. Using Structural Equation Modelling (SEM) to analyse survey data from 413 crowdworkers, the study identifies key drivers such as Performance Expectancy (PE), Effort Expectancy (EE), and Rewards, which significantly impact both Knowledge-sharing Intention (KSI) and Behaviour (KSB). Our findings highlight the importance of user-friendly and accessible digital tools in promoting active knowledge-sharing within online communities. Effort Expectancy directly influences Knowledge-sharing Behaviour, highlighting the importance of usability in sustaining platform adoption. This research confirms the robustness of the UTAUT model and extends it with social exchange elements to offer new insights into human aspects of information systems.

Citation

Xie, H., Zamani, E., Mazumdar, S., & Checco, A. (in press). Integrating UTAUT and social exchange theory to decipher knowledge-sharing in crowdsourcing. Humanities and Social Sciences Communications, 12(1), Article 756. https://doi.org/10.1057/s41599-025-05105-2

Journal Article Type Article
Acceptance Date May 22, 2025
Online Publication Date Jun 3, 2025
Deposit Date May 23, 2025
Publicly Available Date Jun 3, 2025
Journal Humanities and Social Sciences Communications
Electronic ISSN 2662-9992
Publisher Springer Nature
Peer Reviewed Peer Reviewed
Volume 12
Issue 1
Article Number 756
DOI https://doi.org/10.1057/s41599-025-05105-2
Public URL https://durham-repository.worktribe.com/output/3959149
Publisher URL https://www.nature.com/palcomms/

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Licence
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
For the purpose of open access, this study is made available under a Creative Commons Attribution (CC BY) licence, applied to any Author Accepted Manuscript (AAM) version arising from this submission.






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