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Impact of Crowdsourcee’s Vertical Fairness Concern on the Crowdsourcing Knowledge Sharing Behavior and Its Incentive Mechanism

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Abstract

This paper examines in detail the impact of the crowdsourcee’s vertical fairness concern on the knowledge sharing incentive mechanism in crowdsourcing communities. The conditions for the establishment of the incentive mechanism are analyzed and the impact of fairness concern sensitivity on expected economic revenues of both sides as well as the crowdsourcing project performance is studied by game theory and computer simulation. The results show that the knowledge sharing incentive mechanism can only be established if the ratio between the performance improvement rate and the private cost reduction rate caused by shared knowledge is within a certain range. The degree of the optimal linear incentives, the private solution efforts, and the improvement of knowledge sharing level are positively correlated with the sensitivity of vertical fairness concern. In the non-incentive mode, the ratio between the performance conversion rate of private solution effort and the performance conversion rate of knowledge sharing effort plays an important role in moderating a crowdsourcing project’s performance. The authors find that the number of participants is either conducive or non-conducive to the improvement of performance. The implementation of knowledge sharing incentive can achieve a win-win situation for both the crowdsourcer and the crowdsourcee.

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Acknowledgements

We thank Professor MA Zhiqiang of the School of Management of Jiangsu University, whose natural science foundation provides financial support for this paper. We would like to thank all anonymous reviewers for their comments on this paper.

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Authors and Affiliations

  1. School of Management, Jiangsu University, Zhenjiang, 212013, China

    Binxin Zhu

  2. Centre for Competitive Creative Design, Cranfield University, Bedfordshire, MK43 0AL, UK

    Binxin Zhu, Williams Leon & Lighterness Paul

  3. School of Business, Jiangsu University of Technology, Changzhou, 213001, China

    Peng Gao

Authors
  1. Binxin Zhu
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  2. Williams Leon
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  3. Lighterness Paul
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  4. Peng Gao
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Corresponding author

Correspondence to Williams Leon.

Additional information

This research was supported by the National Nature Science Foundation of China under Grant No. 71573109.

This paper was recommended for publication by Editor TANG Xijin.

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Zhu, B., Leon, W., Paul, L. et al. Impact of Crowdsourcee’s Vertical Fairness Concern on the Crowdsourcing Knowledge Sharing Behavior and Its Incentive Mechanism. J Syst Sci Complex 34, 1102–1120 (2021). https://doi.org/10.1007/s11424-020-9243-4

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  • DOI: https://doi.org/10.1007/s11424-020-9243-4

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