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A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry

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  • Detcharat Sumrit

Abstract

Technological innovation capabilities (TICs) are currently one of the essential factors to enhance the competitiveness of enterprises. The measurement of TICs is a complicated decision making process and quite difficult to perform because its assessment involves multi-attribute criteria and the subjective judgements of experts. To solve these problems, this study provides a TICs evaluating model by employing a hybrid multi-criteria decision making (MCDM) technique. This method is an integration of four approaches, consisting of: 1) fuzzy Delphi; 2) fuzzy DEMATEL; 3) analytical network process; 4) technique for order preference by similarity to an ideal solution (TOPSIS). The final results showed the measurement criteria, the interrelationship and the relative important weights among criteria and the ranking of TICs of firms. An empirical study is also illustrated in Thai automotive parts firms as a case study. Furthermore, this study could assist industrial managers to efficiently evaluate TICs and its direction of improvement.

Suggested Citation

  • Detcharat Sumrit, 2020. "A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 19(1), pages 1-43.
    • Handle: RePEc:ids:ijmdma:v:19:y:2020:i:1:p:1-43
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    Cited by:

    1. Miguel Angel Ortíz-Barrios & Matias Garcia-Constantino & Chris Nugent & Isaac Alfaro-Sarmiento, 2022. "A Novel Integration of IF-DEMATEL and TOPSIS for the Classifier Selection Problem in Assistive Technology Adoption for People with Dementia," IJERPH, MDPI, vol. 19(3), pages 1-31, January.
    2. Min Zhu & Wenbo Zhou & Min Hu & Juan Du & Tengfei Yuan, 2023. "Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method," Sustainability, MDPI, vol. 15(4), pages 1-27, February.

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