Selection of Manufacturing Enterprise Innovation Design Project Based on Consumer’s Green Preferences

Jie Yang, Jiafu Su and Lijun Song
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Jie Yang: College of mechanical engineering, Chongqing University of Technology, Chongqing 400054, China
Jiafu Su: Chongqing Key Laboratory of Electronic Commerce & Supply Chain System, Chongqing Technology and Business University, Chongqing 400067, China
Lijun Song: College of mechanical engineering, Chongqing University of Technology, Chongqing 400054, China

Sustainability, 2019, vol. 11, issue 5, 1-16

Abstract: For enterprise, how to quickly realize the selection of green innovative design projects has become a key issue for improving innovation performance. Based on an analysis of enterprise product innovation and customer green preferences, an indicator set for innovation performance in enterprise was established. Considering the fuzziness of the correlation between indicators for innovation performance in enterprise and consumer’s green preferences, a fuzzy clustering method was used to identify the internal relations among the indicators for innovation performance with green preferences of customers. Then a wavelet neural network was used to select the innovation design project for various green preferences of customers. Finally, a case study was proposed to verify the feasibility and effectiveness of the method. This work can help the enterprise to develop green design, products, and serve uniformly, which can effectively shorten green product development cycles, reduce cost, and improve enterprise innovation performance greatly.

Keywords: green preferences; innovation performance; Fuzzy Clustering Analysis; Wavelet Neural Network; project selection (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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