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Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy

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  • Sunil Luthra
  • Anil Kumar
  • Edmundas Kazimieras Zavadskas
  • Sachin Kumar Mangla
  • Jose Arturo Garza-Reyes

Abstract

Industry 4.0 (I4.0) and sustainability are recent buzzwords in manufacturing environments. However, the connection between these two concepts is less explored in the literature. In the current business context, the future generation of manufacturing systems is greatly influenced by the rapid advancement of information technology. Therefore, this study aims to examine the drivers of I4.0 to diffuse sustainability in Supply Chains (SCs). This research identifies the most relevant drivers through the literature and discusses them with area experts. Afterwards, an empirical analysis is conducted to validate the key drivers. Finally, the Grey based DEMATEL method is employed to examine the influential strength of the identified drivers and to build an interrelationship diagram. ‘Government supportive policies’ and ‘Collaboration and transparency among supply chain members’ were reported as highly significant drivers of I4.0. This study is an initial effort that investigates the key drivers of I4.0 to achieve high triple bottom line (ecological-economic-social) gains in SCs by taking an example from an emerging economy, i.e. India. This study may help managers, practitioners and policy makers interested in I4.0 applications to diffuse sustainability in SCs.

Suggested Citation

  • Sunil Luthra & Anil Kumar & Edmundas Kazimieras Zavadskas & Sachin Kumar Mangla & Jose Arturo Garza-Reyes, 2020. "Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1505-1521, March.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1505-1521
    DOI: 10.1080/00207543.2019.1660828
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    Citations

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    Cited by:

    1. Singh, Rajesh Kumar & Kumar, Anil & Garza-Reyes, Jose Arturo & de Sá, Marcelo M., 2020. "Managing operations for circular economy in the mining sector: An analysis of barriers intensity," Resources Policy, Elsevier, vol. 69(C).
    2. Sharma, Varun & Vijayaraghavan, T.A.S. & Raghu Ram, Tata L., 2023. "Resolving operational paradox of sustainable supply chain: A decision framework approach," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    3. Gupta, Shivam & Justy, Théo & Kamboj, Shampy & Kumar, Ajay & Kristoffersen, Eivind, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Biswas, Indranil & Singh, Gurmeet & Tiwari, Sunil & Choi, Tsan-Ming & Pethe, Shivanee, 2024. "Managing Industry 4.0 supply chains with innovative and traditional products: Contract cessation points and value of information," European Journal of Operational Research, Elsevier, vol. 316(2), pages 539-555.
    5. Rodríguez-Espíndola, Oscar & Cuevas-Romo, Ana & Chowdhury, Soumyadeb & Díaz-Acevedo, Natalie & Albores, Pavel & Despoudi, Stella & Malesios, Chrisovalantis & Dey, Prasanta, 2022. "The role of circular economy principles and sustainable-oriented innovation to enhance social, economic and environmental performance: Evidence from Mexican SMEs," International Journal of Production Economics, Elsevier, vol. 248(C).
    6. Virmani, Naveen & Sharma, Shikha & Kumar, Anil & Luthra, Sunil, 2023. "Adoption of industry 4.0 evidence in emerging economy: Behavioral reasoning theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    7. Nadeem, Kashif & Wong, Sut I. & Za, Stefano & Venditti, Michelina, 2024. "Digital transformation and industry 4.0 employees: Empirical evidence from top digital nations," Technology in Society, Elsevier, vol. 76(C).
    8. Yu, Yubing & Zhang, Justin Zuopeng & Cao, Yanhong & Kazancoglu, Yigit, 2021. "Intelligent transformation of the manufacturing industry for Industry 4.0: Seizing financial benefits from supply chain relationship capital through enterprise green management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    10. Luthra, Sunil & Kumar, Anil & Sharma, Manu & Arturo Garza-Reyes, Jose & Kumar, Vikas, 2022. "An analysis of operational behavioural factors and circular economy practices in SMEs: An emerging economy perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 321-336.
    11. Jang, Hyunmi & Haddoud, Mohamed Yacine & Roh, Saeyeon & Onjewu, Adah-Kole Emmanuel & Choi, Taeeun, 2023. "Implementing smart factory: A fuzzy-set analysis to uncover successful paths," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    12. Liu, Yanping & Farooque, Muhammad & Lee, Chang-Hun & Gong, Yu & Zhang, Abraham, 2023. "Antecedents of circular manufacturing and its effect on environmental and financial performance: A practice-based view," International Journal of Production Economics, Elsevier, vol. 260(C).
    13. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    14. Kazancoglu, Yigit & Sezer, Muruvvet Deniz & Ozkan-Ozen, Yesim Deniz & Mangla, Sachin Kumar & Kumar, Ajay, 2021. "Industry 4.0 impacts on responsible environmental and societal management in the family business," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

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