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      Evaluation of dynamic technological innovation capability in high-tech enterprises based on pythagorean fuzzy LBWA and MULTIMOORA

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          Abstract

          With the rapid development of science and technology, high-tech enterprises need to constantly carry out technological innovation to adapt to the changes in the external environment, and maintain their competitive advantages. However, the current research on technological innovation of high-tech enterprises is carried out from a static perspective, which is difficult to understand the dynamic evolution process of continuous technological innovation of high-tech enterprises in a turbulent environment. Therefore, this paper studies high-tech enterprises’ dynamic technological innovation ability from a dynamic perspective, through literature reading and the investigation of the technological innovation status of high-tech enterprises, the evaluation index system of 12 indicators under three dimensions is constructed. The multi-objective optimization by ratio analysis plus full multiplicative form (MULTIMOORA) –Level-based weight assessment (LBWA) comprehensive evaluation model based on Pythagorean fuzzy number (PFN) is proposed to evaluate the dynamic technological innovation ability of high-tech enterprises. Finally, the accuracy and reliability of the model are verified by case analysis. The result of this study shows that the ability to identify new technological knowledge and information outside the enterprise, the ability to obtain technological innovation resources, and the ability to strengthen the input of innovation resources are important factors for the dynamic technological innovation capability of enterprises, so enterprises should pay more attention from these aspects. This study provides a new comprehensive evaluation model and evaluation results can help the decision-makers find their strengths and weaknesses in time and improve them, to promote the sustainable development of high-tech enterprises.

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          Most cited references69

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          Intuitionistic fuzzy sets

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            Pythagorean Membership Grades in Multicriteria Decision Making

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              Best-worst multi-criteria decision-making method

                Author and article information

                Journal
                Journal of Intelligent & Fuzzy Systems
                IFS
                IOS Press
                10641246
                18758967
                June 01 2023
                June 01 2023
                : 44
                : 6
                : 9143-9165
                Affiliations
                [1 ]School of Business, Nanjing Normal University, Nanjing, P.R. China
                [2 ]College of Mathematical Sciences, Yangzhou University, Yangzhou, P.R. China
                Article
                10.3233/JIFS-222965
                0cfd11f1-1b95-488e-b232-0d31149886b4
                © 2023
                History

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