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Issue title: Cross-domain Applications of Fuzzy Logic and Machine Learning
Guest editors: Ekaterina Isaeva and Álvaro Rocha
Article type: Research Article
Authors: Pengfei, Zhang; * | Guoxin, Liu | Feng, Zhang
Affiliations: School of Management, Wuhan University of Technology, Wuhan, Hubei, China
Correspondence: [*] Corresponding author. Zhang Pengfei, School of Management, Wuhan University of Technology, Wuhan, Hubei, China. E-mail: [email protected].
Abstract: Although the value of interorganizational collaboration in DINs is widely acknowledged, a critical issue is that how we should evaluate its actual effect in practice. This issue is of practical significance in that network managers can get feedback from the results of evaluation and then improve their management. In this study, we argue that interorganizational collaboration effectiveness is a construct that comprise three dimensions: innovation efficiency, interorganizational learning and social capital. Furthermore, we establish an evaluation index system and develop an evaluation model based on fuzzy analytic hierarchy process (FAHP). At last, the evaluation model is applied to analyze the interorganizational collaboration effectiveness in the joint venture between Fiberhome and SMC.
Keywords: Distributed innovation networks, interorganizational collaboration effectiveness, evaluation, FAHP
DOI: 10.3233/JIFS-179783
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7053-7059, 2020
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