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Full, hybrid and platform complementarity: Exploring the industry 4.0 technology-performance link

互补性(分子生物学) 利用 计算机科学 背景(考古学) 工业4.0 新兴技术 云计算 领域(数学) 数据科学 知识管理 人工智能 数据挖掘 计算机安全 古生物学 遗传学 数学 纯数学 生物 操作系统
作者
Daniele Battaglia,Francesco Galati,Margherita Molinaro,Elena Pessot
出处
期刊:International Journal of Production Economics [Elsevier BV]
卷期号:263: 108949-108949 被引量:7
标识
DOI:10.1016/j.ijpe.2023.108949
摘要

Literature has increasingly recognized that manufacturing companies should implement a synergic bundle of solutions to fully exploit the potential of Industry 4.0 (I4.0), rather than opting for a scattered technological adoption. Enabling I4.0 technologies, such as cloud computing, artificial intelligence, and additive manufacturing, can be implemented through various combinations to achieve different impacts on a company's performance. But what are the possible ways of combining I4.0 technologies into bundles, and do these ways actually help to achieve a performance that outperforms the adoption of single technologies? This study aims to identify the potential patterns of the technological complementary of I4.0 by considering enabled applications and performance outcomes. We interviewed 13 Italian experts in the I4.0 field, and then combined the obtained information with secondary data collected from more than 150 I4.0 use cases, as well as from websites, reports and press releases. By adopting a systems theory lens, the results of the analysis have allowed us to identify the specific performance effects of both scattered and joint technological adoptions in different application areas. Interestingly, specific examples of I4.0 complementarities emerged, namely full, hybrid and platform complementarity. This study contributes to the growing research on I4.0 outcomes by extending the concept of technological complementary within the I4.0 context. Results show that bundles of technologies have a broader effect on performance than when the same technologies are adopted in isolation, but also that single technologies can impact specific applications and the overall performance of a firm via a systematic I4.0 transformation path.

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