{"title":"Research on Digital Transformation Maturity Evaluation of Automotive Enterprises : Based on EWM, AHP, DEMATEL, etc. Method","authors":"Puchao Li, Bo Xu, Mian Wang","doi":"10.1109/dsins54396.2021.9670560","DOIUrl":null,"url":null,"abstract":"With the advent of the era of automotive inventory, automotive enterprises urgently need digital transformation to open up new business areas. At present, the evaluation indicator system and quantitative judgment method based on the digital transformation maturity of the automotive industry have not yet been formed, and the digital transformation path of automotive enterprises is not yet clear. First, we established a three-level indicator system for maturity evaluation based on the characteristics of the automotive industry. Secondly, a comprehensive evaluation model was constructed by using multiple methods, including Kendall’s W and EWM which determine subjective evaluation matrices, AHP and DEMATEL which determine indicator weight, Delphi and EWM which determine the indicator scores that take all experts’ opinions into account. Finally, we applied the model to a joint venture automotive enterprise, analyzed its digital status and causes based on its overall digital transformation scores, indicator scores and correlation between indicators, and proposed corresponding suggestions for improvement. The evaluation system constructed in this paper is logically rigorous and industry-specific, providing a scientific and reasonable reference framework for the evaluation, diagnosis and path planning of the digital transformation of automotive enterprises.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsins54396.2021.9670560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the advent of the era of automotive inventory, automotive enterprises urgently need digital transformation to open up new business areas. At present, the evaluation indicator system and quantitative judgment method based on the digital transformation maturity of the automotive industry have not yet been formed, and the digital transformation path of automotive enterprises is not yet clear. First, we established a three-level indicator system for maturity evaluation based on the characteristics of the automotive industry. Secondly, a comprehensive evaluation model was constructed by using multiple methods, including Kendall’s W and EWM which determine subjective evaluation matrices, AHP and DEMATEL which determine indicator weight, Delphi and EWM which determine the indicator scores that take all experts’ opinions into account. Finally, we applied the model to a joint venture automotive enterprise, analyzed its digital status and causes based on its overall digital transformation scores, indicator scores and correlation between indicators, and proposed corresponding suggestions for improvement. The evaluation system constructed in this paper is logically rigorous and industry-specific, providing a scientific and reasonable reference framework for the evaluation, diagnosis and path planning of the digital transformation of automotive enterprises.