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Issue title: Fuzzy logic systems for transportation engineering
Guest editors: Dalin Zhang, Sabah Mohammed and Alessandro Calvi
Article type: Research Article
Authors: Qingliang, Menga; * | Yi, Hanga | Xiaojun, Chenb | Qiaoyi, Caoa
Affiliations: [a] School of Management & Economics, Jiangsu University of Science & Technology, Zhenjiang, China | [b] School of Humanities & Social Sciences, Jiangsu University of Science & Technology, Zhenjiang, China
Correspondence: [*] Corresponding author. Qingliang Meng, Professor, School of Management & Economics, Jiangsu University of Science and Technology, No.2 Xuefu Road, Zhenjiang, Jiangsu 212013, China. E-mail: [email protected].
Abstract: As a new business model, crowdsourcing innovation is widely used for enterprises to complete innovation tasks by the external crowds. The enterprises, the external crowds, and the crowdsourcing platform make an alliance and co-create value to achieve the multi-win goal. Based on the operation process analysis of the third-party platform crowdsourcing innovation model, this paper proposes that the essence of crowdsourcing innovation is the value co-creation of multi-agent participation. Based on grounded theory, this paper constructs the theoretical model of the realization mechanism of multi-agent participation value co-creation in crowdsourcing innovation from the three parties’ perspective. This research finds that value co-creation factors include six factors: task attributes, incentive mechanisms, trust mechanisms, the platform supports, participation motivation, and diversities. The process of value co-creation includes resource integration and interaction. The results of value co-creation include three elements: innovation value, knowledge value, and relationship value.
Keywords: Crowdsourcing innovation, multi-agent participation, value co-creation, grounded theory
DOI: 10.3233/JIFS-189986
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 4, pp. 4995-5006, 2021
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