A dynamic decision model of users' sustained participation in crowdsourcing innovation Online publication date: Tue, 11-Sep-2018
by Meng Qing-liang; Xu Xin-hui
International Journal of Services Operations and Informatics (IJSOI), Vol. 9, No. 3, 2018
Abstract: As a new open innovation model, crowdsourcing innovation is used to make full use of external crowd wisdoms to realise innovation performance. Due to the complexity and diversity of innovative tasks and users' free, voluntary participation, it is showed that the crowdsourcing innovation in practice with poor innovation performance and low willingness of users' sustained participation. Therefore, based on the theory of relationship marketing and knowledge sharing, this paper defines the concept of knowledge commitment in crowdsourcing innovation process, and the point is proposed that the essence of users' sustained participation in crowdsourcing innovation is the establishment of knowledge commitment. Then the key effect factors of knowledge commitment are analysed, the dynamic optimal decision model of users' sustained participation is established. Finally, the optimal decision results via the dynamic optimisation techniques are discussed.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services Operations and Informatics (IJSOI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com