The business transformation towards smart manufacturing: A literature overview about reference models and research agenda
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Nowadays, the introduction of digital technologies in the manufacturing industries paved the way to the Fourth Industrial Revolution, also known as Industry 4.0, fostering the evolution of traditional industrial systems to the concept of smart manufacturing. In last years, many reference models to describe the features of the smart factories have been proposed in literature. This paper aims at presenting an overview of these models in order to find the gaps in the research about the Industry 4.0 concepts. In particular, the business transformation required to evolve the traditional manufacturing systems into Industry 4.0-ready ones is discussed. Finally, future research topics are proposed.
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Extant literature on I4.0 mainly focuses on technological aspects, with less attention devoted to the managerial and organizational aspects associated with digital transformation.
“In the last years, many scholars investigated the I4.0 paradigm from different perspectives; however, extant literature mainly focuses on technological aspects; less attention is devoted to the managerial and organizational aspects associated with digital transformation [9].”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [9]
The academic literature discusses digital transformation mainly with respect to technological aspects, whereas few studies have provided complete models for managing business digital transformation.
“However, the academic literature discusses the topic mainly with respect to technological aspects, whereas few studies have provided complete models for managing the business digital transformation [9,10].”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [9]
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Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature
Bellantuono, N., Nuzzi, A., Pontrandolfo, P., & Scozzi, B. (2021) · Sustainability · doi:10.3390/su132312941 · Cited by 146 · see citing works
- Authors
- Cimini, C., Pinto, R., & Cavalieri, S.
- Affiliations
- University of Bergamo (IT)
- Corresponding author
- Cimini, Chiara
- Pinto, Roberto
- Cavalieri, Sergio
- Venue
- IFAC-PapersOnLine
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 50
- Issue
- 1
- Pages
- 14952-14957
- ISSN
- 2405-8963 (ISSN-L)
- OpenAlex
- W2766406357
- Cited by
- 40
- References
- 23
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 5 · 2022: 7 · 2021: 10 · 2020: 7 · 2019: 5 · 2018: 1
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- IFAC-PapersOnLine (publishedVersion)
- Aisberg (University of Bergamo) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- smart manufacturing, Industry 4.0, business transformation, reference model, smart factory, digital technologies in manufacturing, research agenda
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