New product idea selection in the fuzzy front end of innovation: A fuzzy best-worst method and group decision-making process

Shui Ming Li, Felix T.S. Chan, Yung Po Tsang, Hoi Yan Lam

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)


New product development (NPD) is essential to most business organizations to create new values and protect existing values for maintaining high profitability and sustainability. However, the success of NPD projects is deemed to be difficult and challenging owing to high organizational complexity, uncertain business environment, and time-critical innovation. Under the smart manufacturing paradigm, NPD is an active research area to establish effective measures through the adoption of systematic approaches so as to facilitate idea management in the fuzzy front end for the product innovation. In this paper, the domain of new product idea selection is focused on and enhanced by means of the multi-criteria decision-making (MCDM) approach, in which multiple criteria and sub-criteria can be considered in the selection process. Among a number of MCDM approaches, the fuzzy set theory and best-worst method (BWM) are integrated as the fuzzy BWM in this study to structure the new product idea selection process under a group decision-making process. The hierarchy structure for the new product idea selection is also established to consider the perspectives of finance, marketing, engineering, manufacturing, and sustainability. Overall speaking, this study contributes to the field of NPD through overcoming the new product idea selection problem, while the group decision-making process is incorporated into the fuzzy BWM.

Original languageEnglish
Article number337
Pages (from-to)1-18
Number of pages18
Issue number4
Publication statusPublished - 8 Feb 2021


  • Best worst method
  • Fuzzy set
  • Group decision-making
  • Idea selection
  • Multi-criteria decision-making
  • New product development

ASJC Scopus subject areas

  • Mathematics(all)

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