Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model
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DOI: 10.1016/j.techsoc.2020.101248
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- Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
- Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
- Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Frank Werner & Marina Ivanova, 2016. "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 386-402, January.
- Gopalakrishnan, S. & Damanpour, F., 1997. "A review of innovation research in economics, sociology and technology management," Omega, Elsevier, vol. 25(1), pages 15-28, February.
- Dowty, Rachel A. & Wallace, William A., 2010. "Implications of organizational culture for supply chain disruption and restoration," International Journal of Production Economics, Elsevier, vol. 126(1), pages 57-65, July.
- Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
- Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2007. "Supply chain cooperation in industrial districts: A simulation analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 261-280, February.
- Yongxin Liao & Fernando Deschamps & Eduardo de Freitas Rocha Loures & Luiz Felipe Pierin Ramos, 2017. "Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3609-3629, June.
- Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
- M. Lynne Markus & Daniel Robey, 1988. "Information Technology and Organizational Change: Causal Structure in Theory and Research," Management Science, INFORMS, vol. 34(5), pages 583-598, May.
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Keywords
Industry 4.0; Socio-technical systems theory; Automation; Behavioural operations management; Cyber-physical systems;All these keywords.
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