Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach
Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Affiliations: [a] School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin, China
| [b] Development Center for Innovation and Entrepreneurship, Tianjin Sino-German University of Applied Sciences, Tianjin, China
| [c] Center for Innovation and Entrepreneurship, Tianjin University of Finance and Economics, Tianjin, China
Correspondence:
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Corresponding author. Liyan Zhang, Center for Innovation and Entrepreneurship, Tianjin University of Finance and Economics, Tianjin, China. E-mail: [email protected].
Abstract: This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.
Keywords: MSEs, level of AMT application, social-technical system theory, ordinal logistic regression
