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How Can Organisations and Business Models Lead to a More Sustainable Society? A Framework from a Systematic Review of the Industry 4.0

Author

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  • Lia Tirabeni

    (Department of Sociology and Social Research, University of Milano Bicocca, 20126 Milan, Italy)

  • Paola De Bernardi

    (Department of Management, University of Turin, 10134 Turin, Italy)

  • Canio Forliano

    (Department of Management, University of Turin, 10134 Turin, Italy
    Department of Political Science and International Relations, University of Palermo, 90134 Palermo, Italy)

  • Mattia Franco

    (Department of Management, University of Turin, 10134 Turin, Italy)

Abstract

The concept of Industry 4.0 has been mainly addressed by the current literature from a technological perspective, overlooking the organisational and even ethical challenges related to this recent paradigm. In order to become ‘4.0 compliant’, an enterprise must adapt its organisation and business approaches, and these changes may lead to a significant impact on sustainability. Therefore, we performed a systematic literature review to investigate the most recent Industry 4.0 research streams by adopting a multi-perspective approach. This analysis led to collect insights on the key traits of an Enterprise 4.0: integration, decomposed hierarchy, flexibility, and autonomy. Each of these keywords involves work environments, business and organisational models, and educational approaches, which constitute the key traits of the novel framework proposed in this study.

Suggested Citation

  • Lia Tirabeni & Paola De Bernardi & Canio Forliano & Mattia Franco, 2019. "How Can Organisations and Business Models Lead to a More Sustainable Society? A Framework from a Systematic Review of the Industry 4.0," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:22:p:6363-:d:286286
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    References listed on IDEAS

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    17. Diana-Cezara Toader & Corina Michaela Rădulescu & Cezar Toader, 2024. "Investigating the Adoption of Blockchain Technology in Agri-Food Supply Chains: Analysis of an Extended UTAUT Model," Agriculture, MDPI, vol. 14(4), pages 1-29, April.

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