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An optimal charging strategy for crowdsourcing platforms

Jiumei Chen (School of Management, University of Science and Technology of China, Hefei, China)
Zhiying Liu (School of Management, University of Science and Technology of China, Hefei, China)
Wen Zhang (School of Management, University of Science and Technology of China, Hefei, China)
Bengang Gong (School of Management Engineering, Anhui Polytechnic University, Wuhu, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 26 September 2019

Issue publication date: 11 June 2020

Abstract

Purpose

The purpose of this paper is to develop an optimal charging strategy for a third-party crowdsourcing platform.

Design/methodology/approach

Based on the auction theory, the Stackelberg game theory and the systems theory, this paper presents a new model from the perspective of risk sharing between solution seekers and the crowdsourcing platform, given the utility maximization of the seekers, the crowdsourcing platform and the solvers.

Findings

Based on the results, this study shows that the menu of fees, which includes different combinations of a fixed fee and a floating fee schedule, should be designed to attract both solution seekers and solvers. In addition, the related prize setting and the expected payoff for each party are presented.

Practical implications

This study is beneficial for crowdsourcing platform operators, as it provides a new way to design charging strategies and can help in understanding key influential factors.

Originality/value

To the best of the authors’ knowledge, this study is one of the first to simulate the interactions among the three stakeholders, thereby providing a novel model that includes a fixed fee and a floating commission.

Keywords

Acknowledgements

Funding: The authors appreciate aid from the National Natural Science Foundation of China under Grant Nos. 71472172 and 71671001; and the Social Science and Humanity Foundation of Ministry of Education of China under Grant No. 14YJA630035.

Citation

Chen, J., Liu, Z., Zhang, W. and Gong, B. (2020), "An optimal charging strategy for crowdsourcing platforms", Kybernetes, Vol. 49 No. 6, pp. 1605-1621. https://doi.org/10.1108/K-03-2019-0173

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited