How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective
By Malte Brettel, Niklas Friederichsen, Michael Keller, Marius Rosenberg. 2014
1,487 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/93cc0e92ba1ea89845a16067eeb60617ed633a1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fei Tao
- Dmitry A. Ivanov
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- Qinglin Qi
- Ting Zheng
- Matteo Borghi
- Concetta Semeraro
- Sunil Luthra
Citations in the corpus
- What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability (2018, background): “In order to meet these challenges, literature advises manufacturing companies to reflect and systematically innovate their current business models [1,17,18,78].”
- The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020, background): “Digital technologies are still an emerging field (Van den Bossche, 2016), lacking support for effective implementation for manufacturing at scale (Brettel, Friederichsen, Keller, & Rosenberg, 2014, 2018, 2019, 2016, 2017, 2016).”
- Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal (2017, background): “After it, seven references: 2 papers from journals (Brettel et al. 2014; Drath and Horch 2014), 1 white paper (Hermann, Pentek, and Otto 2015), 2 reports (Spath et al. 2013; Roland-Berger 2015), 1 conference paper (Lee, Kao, and Yang 2014), and 1 book (Bauernhansl, ten Hompel, and Vogel-Heuser…”
- A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, unknown): “0 [31]–[33] and Smart Manufacturing [34].”
- Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field (2018, background): “…security will be even more difficult to achieve (in some cases, the full potential of Industry 4.0 may only be leveraged by exchanging sensitive data) and a potential loss of know-how (particularly with partners that coordinate interfaces) may impend (Brettel et al. 2014; Bischoff et al. 2015).”
- The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective (2017, background): “While prior literature on the IIoT has concentrated on technological foundations, challenges, and opportunities, management research has a backlog (Brettel et al., 2014).”
- Industry 4.0: A Bibliometric Review of Its Managerial Intellectual Structure and Potential Evolution in the Service Industries (2019, background): “Several literature reviews have been conducted in relation to industry 4.0 (Brettel et al., 2014; Chiarello et al., 2018; Galati and Bigliardi, 2019; Liao et al., 2017; Lu, 2017; Oesterreich and Teuteberg, 2016; Roblek et al., 2016; Xu et al., 2018) or one of its core concepts, such as smart…”
- Digital twin paradigm: A systematic literature review (2021, background): “The digital twin in the design stage can help designers to configure and validate more quickly the future scenarios (Brettel et al., 2014).”