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Effects of governance on crowdsourcer satisfaction in crowdsourcing: moderating roles of task and environment complexities

Shan Liu (School of Management, Xi'an Jiaotong University, Xi'an, China) (System Behavior and Management Laboratory of Xi'an Jiaotong University, Xi'an, China)
Shiqian Guan (School of Management, Xi'an Jiaotong University, Xi'an, China)
Qing Zhu (International Business School, Shaanxi Normal University, Xi'an, China)
Chao Fang (School of Management, Xi'an Jiaotong University, Xi'an, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 24 March 2022

Issue publication date: 12 April 2022

292

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

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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