The Relationship between Circular Economy, Industry 4.0 and Supply Chain Performance: A Combined ISM/Fuzzy MICMAC Approach
Moacir Godinho Filho,
Luiza Monteiro,
Renata de Oliveira Mota,
Jessica dos Santos Leite Gonella and
Lucila Maria de Souza Campos
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Moacir Godinho Filho: Department of Supply Chain Management and Decision Sciences, EM Normandie Business School, 76600 Le Havre, France
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
Sustainability, 2022, vol. 14, issue 5, 1-21
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.
Keywords: circular economy; industry 4.0; supply chain management; interpretive structural modelling; MICMAC approach (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:5:p:2772-:d:759581
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