Opportunistic Solvers Identification of a Crowdsourcing Innovation Platform
Jintong Hua, Qingliang Meng
Available Online 1 May 2020.
- https://doi.org/10.2991/assehr.k.200428.039How to use a DOI?
- crowdsourcing innovation, opportunistic solvers, identification system, PCA-BP neural network
- Crowdsourcing innovation is characterized by loose organizational structures, free will of participants, strong innovation goals and information asymmetry, which can easily induce solvers’ opportunistic behaviors, such as fraud, intellectual property theft, free-riding and so on. In order to create an attractive and supportive platform environment, identifying and avoiding opportunistic solvers is essential. In this study, a four-dimensional opportunistic solvers’ identification system, including the work ability, the reputation level, the service level and the historical transaction level, is constructed. Then, the opportunistic solvers’ identification model was proposed based on the PCA-BP neural network. The data is based on www.zbj.com, and taken into empirical research to verify the feasibility and effectiveness of the identification model.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Jintong Hua AU - Qingliang Meng PY - 2020 DA - 2020/05/01 TI - Opportunistic Solvers Identification of a Crowdsourcing Innovation Platform BT - Proceedings of the 6th International Conference on Humanities and Social Science Research (ICHSSR 2020) PB - Atlantis Press SP - 169 EP - 173 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200428.039 DO - https://doi.org/10.2991/assehr.k.200428.039 ID - Hua2020 ER -