Member Selection for the Collaborative New Product Innovation Teams Integrating Individual and Collaborative Attributions

نویسندگان

چکیده

As the first stage of formation a collaborative new product innovation (CNPI) team, member selection is crucial for effective operation CNPI team and achievement goals. Considering comprehensively individual attributions, knowledge competence, complementarity, performance among candidates are chosen as criteria to select members in this paper. Moreover, using fuzzy set social network analysis method, quantitative methods above proposed correspondingly. Then, by integrating criteria, novel multiobjective decision model built from view attributions. Since NP-hard, double-population adaptive genetic algorithm further developed solve it. Finally, real case provided illustrate application effectiveness method

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ژورنال

عنوان ژورنال: Complexity

سال: 2021

ISSN: ['1099-0526', '1076-2787']

DOI: https://doi.org/10.1155/2021/8897784