{"title":"经验知识与人工智能的结合。传统机械制造企业的数字化转型","authors":"Martin Krzywdzinski, Florian Butollo","doi":"10.5771/0935-9915-2022-2-161","DOIUrl":null,"url":null,"abstract":"The development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation, there is little knowledge about how companies are actually managing it. This article uses the case study of a leading mechanical engineering company to analyse how the company organised the development of new digital technologies and how it changed its organisational structures and practices. It is based on 22 interviews and an analysis of company documents. The analysis draws on ambidexterity theory, which is extended toward a dynamic process analysis. It shows that digital transformation presupposes the development of structures and practices supporting cross-functional cooperation and the creation of new skill formation approaches. It develops a model of organisational change related to the digital transformation of manufacturing companies which includes the proof-of-concept phase, the partial exploitation phase, and the organisational transformation phase.","PeriodicalId":47269,"journal":{"name":"Management Revue","volume":"44 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company\",\"authors\":\"Martin Krzywdzinski, Florian Butollo\",\"doi\":\"10.5771/0935-9915-2022-2-161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation, there is little knowledge about how companies are actually managing it. This article uses the case study of a leading mechanical engineering company to analyse how the company organised the development of new digital technologies and how it changed its organisational structures and practices. It is based on 22 interviews and an analysis of company documents. The analysis draws on ambidexterity theory, which is extended toward a dynamic process analysis. It shows that digital transformation presupposes the development of structures and practices supporting cross-functional cooperation and the creation of new skill formation approaches. It develops a model of organisational change related to the digital transformation of manufacturing companies which includes the proof-of-concept phase, the partial exploitation phase, and the organisational transformation phase.\",\"PeriodicalId\":47269,\"journal\":{\"name\":\"Management Revue\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Management Revue\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5771/0935-9915-2022-2-161\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Management Revue","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5771/0935-9915-2022-2-161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"MANAGEMENT","Score":null,"Total":0}
Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company
The development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation, there is little knowledge about how companies are actually managing it. This article uses the case study of a leading mechanical engineering company to analyse how the company organised the development of new digital technologies and how it changed its organisational structures and practices. It is based on 22 interviews and an analysis of company documents. The analysis draws on ambidexterity theory, which is extended toward a dynamic process analysis. It shows that digital transformation presupposes the development of structures and practices supporting cross-functional cooperation and the creation of new skill formation approaches. It develops a model of organisational change related to the digital transformation of manufacturing companies which includes the proof-of-concept phase, the partial exploitation phase, and the organisational transformation phase.
期刊介绍:
Management Revue - Socio-Economic Studies is an interdisciplinary European journal that undergoes peer review. It publishes qualitative and quantitative work, along with purely theoretical papers, contributing to the study of management, organization, and industrial relations. The journal welcomes contributions from various disciplines, including business and public administration, organizational behavior, economics, sociology, and psychology. Regular features include reviews of books relevant to management and organization studies.
Special issues provide a unique perspective on specific research fields. Organized by selected guest editors, each special issue includes at least two overview articles from leaders in the field, along with at least three new empirical papers and up to ten book reviews related to the topic.
The journal aims to offer in-depth insights into selected research topics, presenting potentially controversial perspectives, new theoretical insights, valuable empirical analysis, and brief reviews of key publications. Its objective is to establish Management Revue - Socio-Economic Studies as a top-quality symposium journal for the international academic community.