Methods to Improve Company Maturity Based on Analytic Hierarchy Process, Entropy Weight Method and Visual Radar Map
Yuxuan Wang ()
Additional contact information
Yuxuan Wang: Qingdao University of Technology, School of Mechanical & Automotive Engineering
A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1669-1682 from Springer
Abstract:
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.
Keywords: Weight analysis; Radar map; Optimum maturity solution; KPI (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_170
Ordering information: This item can be ordered from
http://www.springer.com/9789464632569
DOI: 10.2991/978-94-6463-256-9_170
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().