Disentangling the socio-technical impacts of digitalization: What changes for shop-floor decision-makers?

IF 9.8 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL International Journal of Production Economics Pub Date : 2024-08-15 DOI:10.1016/j.ijpe.2024.109377
Ruggero Colombari , Paolo Neirotti , Jasmina Berbegal-Mirabent
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Abstract

With the diffusion of Industry 4.0 technologies, firms can decentralize operational decisions, fostering a data-driven Digital Transformation (DT) across all organizational levels. Digitalized shopfloors can leverage an unprecedented availability of data for better and faster decision-making, resulting in enhanced operational performance. However, limited research has investigated the organizational and individual implications for those who run the manufacturing lines: production managers, supervisors, team leaders, and workers. By adopting a socio-technical framework, this study aims to disentangle the effects that digitalization has on shopfloors’ organizational structures, decision-making processes, and individual competencies, as well as the interdependencies among them. An exploratory approach was adopted, based on an empirical cross-country study involving 34 semi-structured interviews conducted in the Italian and Spanish automotive sectors. Analyzed through the lenses of information-processing, knowledge-based, and dynamic capability theories, our findings reveal through five propositions how digitalization induces a “polarization” of operational decision-making: shopfloors are run by knowledgeable data-empowered production managers and autonomous information-processing team leaders on the front line, with a reduced importance of supervisors. Upskilling needs appear for team leaders but not production workers, whose involvement, however, emerges as a key factor for a successful digitalization and overall performance in initial DT stages. This study contributes to literature on digitalization by exposing managerial tensions and dynamic capabilities, along with a deeper understanding of the micro-foundations of DT in terms of implications for shop-floor decision-makers. Managerial implications are directed at creating awareness about the centrality of production team leaders, and future research avenues are proposed.

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厘清数字化的社会技术影响:车间决策者会有哪些变化?
随着工业 4.0 技术的普及,企业可以下放运营决策权,在所有组织层面促进数据驱动的数字化转型(DT)。数字化车间可以利用前所未有的数据,更好、更快地做出决策,从而提高运营绩效。然而,对于生产经理、主管、班组长和工人等生产一线人员的组织和个人影响,研究却十分有限。通过采用社会技术框架,本研究旨在厘清数字化对车间组织结构、决策过程和个人能力的影响,以及它们之间的相互依存关系。本研究采用了一种探索性方法,基于一项跨国实证研究,在意大利和西班牙汽车行业进行了 34 次半结构式访谈。通过信息处理理论、知识理论和动态能力理论的分析,我们的研究结果通过五个命题揭示了数字化如何导致运营决策的 "两极分化":车间由知识渊博、掌握数据的生产经理和自主信息处理的一线团队领导管理,主管的重要性有所降低。班组长需要提高技能,而生产工人则不需要,但他们的参与是成功实现数字化和 DT 初始阶段整体绩效的关键因素。本研究揭示了管理方面的紧张关系和动态能力,并从对车间决策者的影响角度加深了对 DT 微观基础的理解,从而为有关数字化的文献做出了贡献。本研究的管理意义在于使人们认识到生产团队领导者的核心作用,并提出了未来的研究方向。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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