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Methods to Improve Company Maturity Based on Analytic Hierarchy Process, Entropy Weight Method and Visual Radar Map

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Yuxuan Wang

    (Qingdao University of Technology, School of Mechanical & Automotive Engineering)

Abstract

With the development of 5G, the Internet of Things, and other technologies, data needs to be analyzed and sorted in a larger way, so as to obtain more valuable information from it. In order to address the problem that the maturity of different companies is difficult to analyze due to business factors, in this paper, we show the AHP-EWM combined weight analysis method and visual radar to find the model of the optimal solution, and design a system of maturity index that is suitable for companies. Subsequently, the degree of KPI of the company is shown through a radar map, and find out the optimal direction of the internal system of enterprise development. By increasing the weight ratio of optimal development factors, the maturity of the company can be improved. Finally, this model is used to simulate the application degree of port industries of different sizes and different enterprises. The results of the radar map show that even enterprises of different sizes and properties can be normalized by this model according to their internal KPIs, and the optimization suggestions given by the radar map can improve the maturity of the company, which is of great significance for the company to integrate internal resources and find the development direction of the company.

Suggested Citation

  • Yuxuan Wang, 2024. "Methods to Improve Company Maturity Based on Analytic Hierarchy Process, Entropy Weight Method and Visual Radar Map," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 1669-1682, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_170
    DOI: 10.2991/978-94-6463-256-9_170
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