Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company

IF 7.6 0 MANAGEMENT
Martin Krzywdzinski, Florian Butollo
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引用次数: 0

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.
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
工业4.0技术的发展为制造企业的数字化转型创造了空间,制造企业的商业模式越来越依赖于软件和基于数据的服务。虽然有几项研究强调,制造业别无选择,只能跟随这种转变,但对于企业实际上是如何管理这种转变的,人们知之甚少。本文以一家领先的机械工程公司为例,分析该公司如何组织新数字技术的开发,以及它如何改变其组织结构和实践。这份报告基于22次采访和对公司文件的分析。该分析利用了二元性理论,并将其扩展为动态过程分析。研究表明,数字化转型的先决条件是支持跨职能合作和创造新的技能形成方法的结构和实践的发展。它开发了一个与制造公司数字化转型相关的组织变革模型,包括概念验证阶段、部分开发阶段和组织转型阶段。
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来源期刊
Management Revue
Management Revue MANAGEMENT-
CiteScore
1.20
自引率
0.00%
发文量
7
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.
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