Despite the increasing number of firms committed to R&D strategic alliances over the past few decades, a large number of alliances have failed because of the incompatibility of the partners. The purpose of this study is to evaluate comprehensively the determinants, particularly for small- and medium-sized enterprises (SMEs) that affect collaborative R&D partner selection. In this study, a two-stage Fuzzy multi-criteria decision making approach (FMCDM), combined with the Fuzzy Delphi Method (FDM) and Fuzzy Analytical Hierarchical Processing (FAHP) was adopted. Two sets of experts were chosen from the SME Technology-Intensive Clustering Assistance (TICA) project to participate in the research study. In this study, we discovered that two contributions to the selection of collaborative R&D partners among SMEs lead to the successful formation of R&D alliances. First, we provide a framework for solving the problem of multiple-criteria decision making in the process of selecting collaborative R&D partners among small firms. Second, we comprehensively evaluate the determinants that influence the success of the collaborative R&D partner selection process (particularly for SMEs) in the future.
|ホスト出版物のタイトル||2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12|
|出版ステータス||Published - 2012|
|イベント||2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12 - Vancouver, BC|
継続期間: 2012 7 29 → 2012 8 2
|Other||2012 Portland International Conference on Management of Engineering and Technology - Technology Management for Emerging Technologies, PICMET'12|
|Period||12/7/29 → 12/8/2|
ASJC Scopus subject areas