{"title":"Research on Key Factors of Digital Transformation Behavior of Discrete Manufacturing Enterprises Based on NVIVO Analysis","authors":"Yuhua Li, C. Liao, Ziwei Xiang","doi":"10.1109/ICMSSE53595.2021.00074","DOIUrl":null,"url":null,"abstract":"This paper uses NVIVO as a software tool to study the realization of digital transformation in discrete manufacturing enterprises in Grounded theory. To explore the key influencing factors of digital transformation, in-depth interviews were conducted with 43 employees of typical discrete manufacturing enterprises in China, and qualitative analysis of the interview raw data was conducted. Firstly, the original data were open coded to identify the initial categories of digital transformation behaviors. Secondly, based on the open coding, the connections that exist at the conceptual level between different initial categories are summarized and inducted. Finally, the relationships between the core categories and other categories are analyzed, and the typical relationships between each category are summarized. Based on the analysis of the raw data statements, the dimensions of the direct and indirect roles of discrete manufacturing enterprises in realizing digital transformation are summarized, and the role model of the influencing elements of digital transformation in discrete manufacturing enterprises is constructed to analyze the behavior of digital transformation in discrete manufacturing enterprises. The research results show that there are five main influencing factors for digital transformation. The digital transformation measures of discrete manufacturing enterprises are proposed accordingly.","PeriodicalId":331570,"journal":{"name":"2021 International Conference on Management Science and Software Engineering (ICMSSE)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Management Science and Software Engineering (ICMSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSSE53595.2021.00074","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
This paper uses NVIVO as a software tool to study the realization of digital transformation in discrete manufacturing enterprises in Grounded theory. To explore the key influencing factors of digital transformation, in-depth interviews were conducted with 43 employees of typical discrete manufacturing enterprises in China, and qualitative analysis of the interview raw data was conducted. Firstly, the original data were open coded to identify the initial categories of digital transformation behaviors. Secondly, based on the open coding, the connections that exist at the conceptual level between different initial categories are summarized and inducted. Finally, the relationships between the core categories and other categories are analyzed, and the typical relationships between each category are summarized. Based on the analysis of the raw data statements, the dimensions of the direct and indirect roles of discrete manufacturing enterprises in realizing digital transformation are summarized, and the role model of the influencing elements of digital transformation in discrete manufacturing enterprises is constructed to analyze the behavior of digital transformation in discrete manufacturing enterprises. The research results show that there are five main influencing factors for digital transformation. The digital transformation measures of discrete manufacturing enterprises are proposed accordingly.