A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry
© 2020 Inderscience Enterprises Ltd. 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...
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th-mahidol.495912020-01-27T10:32:29Z A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry Detcharat Sumrit Mahidol University Decision Sciences © 2020 Inderscience Enterprises Ltd. 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. 2020-01-27T03:32:29Z 2020-01-27T03:32:29Z 2020-01-01 Article International Journal of Management and Decision Making. Vol.19, No.1 (2020), 1-43 10.1504/IJMDM.2020.104182 17415187 14624621 2-s2.0-85077200206 https://repository.li.mahidol.ac.th/handle/123456789/49591 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077200206&origin=inward |
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Decision Sciences Detcharat Sumrit A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
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© 2020 Inderscience Enterprises Ltd. 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. |
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Mahidol University Detcharat Sumrit |
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Detcharat Sumrit |
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Detcharat Sumrit |
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A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
title_short |
A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
title_full |
A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
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A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
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A hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
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hybrid multi-criteria decision making model for technological innovation capabilities measurement in automotive parts industry |
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2020 |
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https://repository.li.mahidol.ac.th/handle/123456789/49591 |
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