Growing globalization, intense competitive pressures and an ever-changing environment are forcing firms to seek innovation in order to achieve rapid and sustainable growth. It has been found that if entrepreneurs can make comprehensive and effective decisions in early concept selection, it will contribute to the success of innovation and entrepreneurship. This is because on the one hand, decisions in the early concept selection set the direction of new product development; on the other hand, it reduces the cost and risk of developing new products.
However, making effective decisions in the early concept selection is a great challenge for companies. For most companies, it is an informal selection process. In the research literature on new product innovation, early concept selection decisions are still an under-researched topic. Early product concept selection is a complex decision-making process, influenced by the diversity of evaluation indicators, the complexity of interactions between decision indicators, and the ambiguity of evaluation language. Qualitative and quantitative decision indicators coexist during the concept selection process. Moreover, most of the existing research has ignored the interdependencies between decision indicators. In fact, decision indicators are not mutually independent, but rather interdependent and interactive. Therefore, an integrated assessment based on the interactions between different criteria is needed, furthermore due to the complexity and ambiguity of the decision-making process, it is necessary to consider effectively quantifying the ambiguity and imprecision in the decision-making process.
This study first examines the main factors influencing early concept selection decisions from the perspective of the innovation strategy decision. This provides a comprehensive and balanced view of early innovation concept selection for decision makers. A combination of questionnaire survey, factor analysis, and multiple regression methods were used to analyze the key influencing factors of early concept selection decision. Finally, this study constructs a key factor index system for early concept selection decision making, containing 12 indicators in 4 dimensions. This study constructs a complex multi-criteria group decision-making process for early concept selection decisions using the DEMATEL (Decision-Making Trial and Evaluation Laboratory), ANP (network analysis), and FCE (the global fuzzy evaluation method). A combination of the DEMATEL and ANP methods was used to determine decision indicator weights for early concept selection. This study enhances the DEMATEL scale and uses the interrelationships between the decision factors identified by the DEMATEL method as input to the ANP network structure relationships. By constructing a fuzzy evaluation matrix through the Fuzzy comprehensive evaluation (FCE) method, the fuzzy language can be quantified into comparable objective values, making the decision results more reliable. Finally, the "24 hours of innovation" is chosen to illustrate the application of the decision model constructed in this study, and the results are analyzed in detail.
| Date | 16 May 2023 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Mickaël Gardoni (Supervisor) |
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Huang, Z. (Author),
Gardoni (Supervisor),
16 May 2023Student thesis: Doctoral thesis › Doctorate in Engineering: Engineering