Disruptive social manufacturing models: lessons learned from Ferrari cars and Isinnova networks for a post-pandemic value creation path

IF 6.1 3区 管理学 Q1 ENGINEERING, INDUSTRIAL Production Planning & Control Pub Date : 2021-12-02 DOI:10.1080/09537287.2021.1986865
A. Chiarini, A. Grando, V. Belvedere
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引用次数: 4

Abstract

Abstract This paper addresses the topic of social manufacturing, with the aim of understanding the key features of such a new manufacturing, network-based model, its enabling factors and the reasons-why a company should join and/or establish it. Building on the literature about social manufacturing and disruptive innovation, we develop a new framework to address our research questions. During the COVID-19 pandemic, many Italian manufacturing companies quickly adopted a network-based production approach, to provide a rapid response to healthcare organizations needing surgical masks, sanitisers, and pieces of equipment like ventilators. We discuss this transformation with two companies, Ferrari Cars and Isinnova, which developed a social manufacturing network that was successful in an emergency situation. Building on the empirical evidence stemming from these case-studies, we explain how and to what extent this emergency model could become stable and profitable in a post-pandemic scenario, creating economic value and opening up business opportunities.
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颠覆性社会制造模式:从法拉利汽车和Isinnova网络中汲取的教训,为大流行后的价值创造路径提供借鉴
本文讨论了社会制造的主题,目的是了解这种基于网络的新型制造模式的主要特征,其促成因素以及公司应该加入和/或建立这种模式的原因。基于关于社会制造和破坏性创新的文献,我们开发了一个新的框架来解决我们的研究问题。在COVID-19大流行期间,许多意大利制造公司迅速采用了基于网络的生产方法,为需要医用口罩、消毒液和呼吸机等设备的医疗机构提供快速响应。我们与法拉利汽车和Isinnova这两家公司讨论了这种转变,这两家公司开发了一个社交制造网络,在紧急情况下取得了成功。根据来自这些案例研究的经验证据,我们解释了这种紧急模式如何以及在多大程度上可以在大流行后的情况下变得稳定和有利可图,从而创造经济价值并开辟商业机会。
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来源期刊
Production Planning & Control
Production Planning & Control 管理科学-工程:工业
CiteScore
19.30
自引率
9.60%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.
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