Effects of governance on crowdsourcer satisfaction in crowdsourcing: moderating roles of task and environment complexities
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 24 March 2022
Issue publication date: 12 April 2022
Abstract
Purpose
This study aims to explore how relational and contractual governance affect crowdsourcer satisfaction under boundary conditions, including internal (i.e. task complexity) or external (i.e. environmental complexity) factors.
Design/methodology/approach
We empirically validate the hypotheses using survey data collected from 255 crowdsourcers on a leading platform (i.e. Zhubajie.com). Partial least squares technique and hierarchical regression analysis are used to test the research model.
Findings
Both forms of governance mechanisms positively affect crowdsourcer satisfaction. Task complexity negatively moderates the linkage of relational governance and crowdsourcer satisfaction. However, environmental complexity weakens the positive effect of contractual governance but enhances the effect of relational governance on satisfaction.
Originality/value
This study deepens the current understanding of governance mechanism in crowdsourcing by discovering the effectiveness of contractual and relational governance. We also contribute to the governance and crowdsourcing literature by revealing the mechanisms of how governance takes effect under task and environmental complexities.
Keywords
Acknowledgements
This work was supported by the National Natural Science Foundation (NSFC) Programs of China [72032006, 71722014 and 72011540408], the Fundamental Research Funds for the Central Universities [xzd012020063] and the grant from National Social Science Foundation of China (16ZDA013). We also appreciate the Youth Innovation Team of Shaanxi Universities “Big data and Business Intelligent Innovation Team” and Education Department of Shaanxi Provincial Government [21JP067].
Citation
Liu, S., Guan, S., Zhu, Q. and Fang, C. (2022), "Effects of governance on crowdsourcer satisfaction in crowdsourcing: moderating roles of task and environment complexities", Industrial Management & Data Systems, Vol. 122 No. 4, pp. 1002-1024. https://doi.org/10.1108/IMDS-08-2021-0474
Publisher
:Emerald Publishing Limited
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