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The Relationship between Circular Economy, Industry 4.0 and Supply Chain Performance: A Combined ISM/Fuzzy MICMAC Approach

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  • Moacir Godinho Filho

    (Department of Supply Chain Management and Decision Sciences, EM Normandie Business School, 76600 Le Havre, France
    Department of Production Engineering, Federal University of São Carlos, São Carlos 13565-905, Brazil)

  • Luiza Monteiro

    (Department of Production Engineering, Federal University of São Carlos, São Carlos 13565-905, Brazil)

  • Renata de Oliveira Mota

    (Department of Production Engineering, Federal University of São Carlos, São Carlos 13565-905, Brazil)

  • Jessica dos Santos Leite Gonella

    (Department of Production Engineering, Federal University of São Carlos, São Carlos 13565-905, Brazil)

  • Lucila Maria de Souza Campos

    (Department of Production Engineering, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil)

Abstract

This paper aims to assess the relationship between Industry 4.0 (I4.0) and the circular economy that could contribute to supply chain management performance. To achieve this, a combination of the interpretative structural modelling (ISM) and (cross-impact matrix multiplication applied to classification) MICMAC approach was used to establish the interrelationships between these topics. The developed analysis reveals that there are 19 constructs capable of elucidating this relationship and that there is a hierarchy between these constructs, which are presented in a structural model. Further, the different levels of dependency and driving power are compared in a cluster diagram. As the main result, it was found that there is a strong mutual relationship between the basic technologies. The use of Internet of Things and cloud computing technologies influences the collection of large amounts of data, leading to big data, which in turn influence the use of data analytics tools to obtain competitive advantages. These outcomes may contribute to managers’ more assertive decision-making regarding the selection, implementation, and evaluation of projects adopting Industry 4.0 technologies and circular economy approaches in supply chains. Moreover, our study could be the basis for future empirical research to investigate how companies incorporate Industry 4.0 technologies into their processes and how this influences the quest for sustainable supply chains.

Suggested Citation

  • Moacir Godinho Filho & Luiza Monteiro & Renata de Oliveira Mota & Jessica dos Santos Leite Gonella & Lucila Maria de Souza Campos, 2022. "The Relationship between Circular Economy, Industry 4.0 and Supply Chain Performance: A Combined ISM/Fuzzy MICMAC Approach," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2772-:d:759581
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    References listed on IDEAS

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    1. Modgil, Sachin & Gupta, Shivam & Sivarajah, Uthayasankar & Bhushan, Bharat, 2021. "Big data-enabled large-scale group decision making for circular economy: An emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    2. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    3. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    4. Raffaele Isernia & Renato Passaro & Ivana Quinto & Antonio Thomas, 2019. "The Reverse Supply Chain of the E-Waste Management Processes in a Circular Economy Framework: Evidence from Italy," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    5. Phil Brown & Nancy Bocken & Ruud Balkenende, 2020. "How Do Companies Collaborate for Circular Oriented Innovation?," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    6. Kaur, Harpreet & Prakash Singh, Surya, 2021. "Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Divya Tiwari & Jill Miscandlon & Ashutosh Tiwari & Geraint W. Jewell, 2021. "A Review of Circular Economy Research for Electric Motors and the Role of Industry 4.0 Technologies," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    8. Maryori C. Díaz-Ramírez & Víctor J. Ferreira & Tatiana García-Armingol & Ana María López-Sabirón & Germán Ferreira, 2020. "Environmental Assessment of Electrochemical Energy Storage Device Manufacturing to Identify Drivers for Attaining Goals of Sustainable Materials 4.0," Sustainability, MDPI, vol. 12(1), pages 1-20, January.
    9. Lim, Xin-Jean & Cheah, Jun-Hwa & Ng, Siew Imm & Basha, Norazlyn Kamal & Soutar, Geoff, 2021. "The effects of anthropomorphism presence and the marketing mix have on retail app continuance use intention," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    10. Bigerna, Simona & Micheli, Silvia & Polinori, Paolo, 2021. "New generation acceptability towards durability and repairability of products: Circular economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
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