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Understanding the effects of personality traits on solver engagement in crowdsourcing communities: a moderated mediation investigation

Xiaoxiao Shi (School of Economics and Management, Beihang University, Beijing, China)
Richard Evans (College of Engineering, Design and Physical Sciences, Brunel University London, London, UK)
Wei Pan (School of Economics and Management, Harbin Engineering University, Harbin, China)
Wei Shan (School of Economics and Management, Beihang University, Beijing, China)

Information Technology & People

ISSN: 0959-3845

Article publication date: 3 March 2021

Issue publication date: 28 March 2022

802

Abstract

Purpose

Crowdsourcing communities enable companies to post challenges that are completed by solvers (workers); their success depends on engagement, requiring both creativity and effort. This study explores solver engagement in online crowdsourcing communities, advancing the theory of trait engagement by investigating the mediating roles of: (a) task-related self-efficacy in linking conscientiousness, neuroticism and extraversion, with solver engagement, and (b) task complexity in influencing the mediation.

Design/methodology/approach

215 valid responses were obtained from solvers engaged in the popular Chinese crowdsourcing community, Epwk.com, using an online questionnaire. PLS was then used to analyze the data.

Findings

Results show that self-efficacy mediates the relationships for conscientiousness, neuroticism and extraversion, with solver engagement. Moderated mediation analysis revealed that self-efficacy mediates the relationships for: (a) conscientiousness and extraversion, for only solvers with high task complexity; and (b) neuroticism, for only solvers with low task complexity.

Originality/value

The authors’ findings underscore the importance of accounting for solvers' situational contexts when examining the relationships between personality, self-efficacy and solver engagement in online crowdsourcing communities.

Keywords

Acknowledgements

This research was supported by National Nature Science Foundation of China (Grant No. 71971008, 71801169, 71804056, 71901080), Humanities and Social Sciences Research Project of the Ministry of Education of China (Grant Nos. 18YJC630250), and China Postdoctoral Science Foundation (Grant Nos. 2018M642033).Correspondence concerning this article should be addressed to Wei Shan, School of Economics and Management, Beihang University.

Citation

Shi, X., Evans, R., Pan, W. and Shan, W. (2022), "Understanding the effects of personality traits on solver engagement in crowdsourcing communities: a moderated mediation investigation", Information Technology & People, Vol. 35 No. 2, pp. 750-780. https://doi.org/10.1108/ITP-05-2020-0290

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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