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Industry 4.0‐driven business model innovation for supply chain sustainability: An exploratory case study

Author

Listed:
  • Ramesh Krishnan
  • Phi Yen Phan
  • S. Navaneetha Krishnan
  • Renu Agarwal
  • Amrik Sohal

Abstract

In the rapidly evolving landscape of the automotive industry, firms are increasingly turning to advanced Industry 4.0 (I4.0) technologies to drive innovation and sustainability. While I4.0 technologies hold immense potential for Business Model Innovation (BMI) and supply chain (SC) sustainability, a gap exists in understanding how firms can leverage BMI and SCS effectively. This study addresses this gap and explores the impact of implementing I4.0 on BMI and its effects on SC sustainability. Utilizing an exploratory case study approach, the research investigates an Indian automobile SC and highlights how I4.0 technologies such as IoT, cloud computing, additive manufacturing, analytics, and automation contribute to BMI, enhancing operational efficiency and SC sustainability. Additionally, the study emphasizes the importance of fostering collaboration among SC entities and the need for support from large‐scale manufacturers for the initial adoption of I4.0 technologies at the small‐scale supplier level. Based on these findings, the study develops the ‘I4.0‐enabled BMI for SC Sustainability’ framework, providing a structured approach for integrating I4.0 and BMI to enhance SC sustainability. This research investigates and applies Dynamic Capability (DC) theory to examine I4.0 transformations and contributes to DC theory by demonstrating how I4.0 facilitates BMI across the value chain, leading to improved sustainability performance.

Suggested Citation

  • Ramesh Krishnan & Phi Yen Phan & S. Navaneetha Krishnan & Renu Agarwal & Amrik Sohal, 2025. "Industry 4.0‐driven business model innovation for supply chain sustainability: An exploratory case study," Business Strategy and the Environment, Wiley Blackwell, vol. 34(1), pages 276-295, January.
    • Handle: RePEc:bla:bstrat:v:34:y:2025:i:1:p:276-295
    DOI: 10.1002/bse.3970
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    References listed on IDEAS

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    1. Dieste, Marcos & Sauer, Philipp C. & Orzes, Guido, 2022. "Organizational tensions in industry 4.0 implementation: A paradox theory approach," International Journal of Production Economics, Elsevier, vol. 251(C).
    2. Bogers, Marcel & Hadar, Ronen & Bilberg, Arne, 2016. "Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 225-239.
    3. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    4. Rosaria Ferlito & Rosario Faraci, 2022. "Business model innovation for sustainability: a new framework," Innovation & Management Review, Emerald Group Publishing Limited, vol. 19(3), pages 222-236, March.
    5. Marta Götz & Barbara Jankowska, 2017. "Clusters and Industry 4.0 – do they fit together?," European Planning Studies, Taylor & Francis Journals, vol. 25(9), pages 1633-1653, September.
    6. Agarwal, Renu & Mittal, Neeraj & Patterson, Eric & Giorcelli, Michela, 2021. "Evolution of the Indian LPG industry: Exploring conditions for public sector business model innovation," Research Policy, Elsevier, vol. 50(4).
    7. Ramon Casadesus‐Masanell & Feng Zhu, 2013. "Business model innovation and competitive imitation: The case of sponsor‐based business models," Strategic Management Journal, Wiley Blackwell, vol. 34(4), pages 464-482, April.
    8. Sjödin, David & Parida, Vinit & Palmié, Maximilian & Wincent, Joakim, 2021. "How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops," Journal of Business Research, Elsevier, vol. 134(C), pages 574-587.
    9. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    10. Surya Prakash & Sameer Kumar & Gunjan Soni & Vipul Jain & Ajay Pal Singh Rathore, 2020. "Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach," Annals of Operations Research, Springer, vol. 290(1), pages 837-864, July.
    11. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    12. Urbinati, Andrea & Bogers, Marcel & Chiesa, Vittorio & Frattini, Federico, 2019. "Creating and capturing value from Big Data: A multiple-case study analysis of provider companies," Technovation, Elsevier, vol. 84, pages 21-36.
    13. Ron Adner & Phanish Puranam & Feng Zhu, 2019. "What Is Different About Digital Strategy? From Quantitative to Qualitative Change," Strategy Science, INFORMS, vol. 4(4), pages 253-261, December.
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