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Impact of Crowdsourcee’s Vertical Fairness Concern on the Crowdsourcing Knowledge Sharing Behavior and Its Incentive Mechanism
- Source :
- Journal of Systems Science and Complexity. 34:1102-1120
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
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.
- Subjects :
- 0209 industrial biotechnology
business.industry
Creative crowdsourcing community
02 engineering and technology
Environmental economics
Crowdsourcing
Knowledge sharing
Cost reduction
vertical fairness concern
020901 industrial engineering & automation
Incentive
0202 electrical engineering, electronic engineering, information engineering
Computer Science (miscellaneous)
incentive mechanism
Revenue
020201 artificial intelligence & image processing
Performance improvement
knowledge sharing
business
Game theory
Mechanism (sociology)
Information Systems
Subjects
Details
- ISSN :
- 15597067 and 10096124
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of Systems Science and Complexity
- Accession number :
- edsair.doi.dedup.....6dc99d3a1846fce4113b327b4c347d3c