Innovative Supplier Selection from Collaboration Perspective with a Hybrid MCDM Model: A Case Study Based on NEVs Manufacturer

In the context of Chinese innovation-driven strategy, role suppliers has been attracting much attention. Since not every supplier can contribute to buyer’s innovation, scientifically selecting an innovative is highly valued by decision-makers from new energy vehicle (NEV) manufacturers. This paper focuses on proposing a novel decision framework in collaborative which helps NEV manufacturers select who work hand with them enhance their innovation performance. First, capability-willingness-risk (C-W-R) evaluation indicator system established, considering supply risk multi-proximity perspective tightly tied performance, only considered geographical proximity previous selection research. Then hybrid fuzzy-symmetrical multicriteria decision-making (MCDM) model proposed that integrates fuzzy linguistic sets, best–worst method (BWM), prospect theory (PT) and VIKOR. With this approach, final ranking obtained for China. Moreover, sensitivity analysis comparison illustrate framework’s effectiveness reliability dig deep into buyer?supplier innovation. Finally, some managerial suggestions are given standpoint