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A partner selection model for collaborative product innovation from the viewpoint of knowledge collaboration

Jie Jian (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China)
Milin Wang (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China)
Lvcheng Li (School of Entrepreneurship, Wuhan University of Technology, Wuhan, China)
Jiafu Su (Chongqing Key Laboratory of Electronic Commerce and Supply Chain System , Chongqing Technology and Business University, Chongqing, China, and School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China)
Tianxiang Huang (School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 19 August 2019

Abstract

Purpose

Selecting suitable and competent partners is an important prerequisite to improve the performance of collaborative product innovation (CPI). The purpose of this paper is to propose an integrated multi-criteria approach and a decision optimization model of partner selection for CPI from the perspective of knowledge collaboration.

Design/methodology/approach

First, the criteria for partner selection are presented, considering comprehensively the knowledge matching degree of the candidates, the knowledge collaborative performance among the candidates, and the overall expected revenue of the CPI alliance. Then, a quantitative method based on the vector space model and the synergetic matrix method is proposed to obtain a comprehensive performance of candidates. Furthermore, a multi-objective optimization model is developed to select desirable partners. Considering the model is a NP-hard problem, a non-dominated sorting genetic algorithm II is developed to solve the multi-objective optimization model of partner selection.

Findings

A real case is analyzed to verify the feasibility and validity of the proposed model. The findings show that the proposed model can efficiently select excellent partners with the desired comprehensive attributes for the formation of a CPI alliance.

Originality/value

Theoretically, a novel method and approach to partner selection for CPI alliances from a knowledge collaboration perspective is proposed in this study. In practice, this paper also provides companies with a decision support and reference for partner selection in CPI alliances establishment.

Keywords

Acknowledgements

This work was supported by the Humanity and Social Science Youth Foundation of Ministry of Education of China (19YJC630141), the National Science Foundation of China (Project No. 71701027, 71802002), the Chongqing Graduate Student Research Innovation Project (Project No. CYS17226), Chongqing Social Science planning Project (2018BS84), and the Scientific and Technological Research Program of Chongqing Municipal Education Commission (KJQN201800832). The authors are also grateful to Editor Igor Perko, Editor Gandolfo Dominici and the anonymous reviewers for their valuable comments, which help to improve this paper.

Citation

Jian, J., Wang, M., Li, L., Su, J. and Huang, T. (2019), "A partner selection model for collaborative product innovation from the viewpoint of knowledge collaboration", Kybernetes, Vol. 49 No. 6, pp. 1623-1644. https://doi.org/10.1108/K-05-2018-0266

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited