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Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies

Author

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  • Sachin Kamble
  • Angappa Gunasekaran
  • Neelkanth C. Dhone

Abstract

The current literature claims the direct effects of industry 4.0 technologies (I4 T) on lean manufacturing practices (LMP) and sustainable organisational performance (SOP). LMP are also found to have a positive influence on SOP. However, the integrated effect of I4 T and LMP on SOP has not been empirically investigated. To address this gap, this research study investigates the indirect effects of I4 T on SOP with LMP as the mediating variable; furthermore, it aims to confirm or not the direct effects of I4 T on LMP and SOP. The study is based on data collected from 205 managers, working in 115 manufacturing firms. The findings suggest significant direct and indirect effects of I4 T on SOP and confirm the presence of LMP as a strong mediating variable. The results of the study extend the literature on I4 T by identifying I4 T as an enabler of LMP, leading to enhancement of the SOP. Implications and future research directions for academicians, practitioners, and consultants are provided.

Suggested Citation

  • Sachin Kamble & Angappa Gunasekaran & Neelkanth C. Dhone, 2020. "Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1319-1337, March.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:5:p:1319-1337
    DOI: 10.1080/00207543.2019.1630772
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    Cited by:

    1. Kamble, Sachin S. & Gunasekaran, Angappa & Ghadge, Abhijeet & Raut, Rakesh, 2020. "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Elsevier, vol. 229(C).
    2. Alkaraan, Fadi & Elmarzouky, Mahmoud & Hussainey, Khaled & Venkatesh, V.G., 2023. "Sustainable strategic investment decision-making practices in UK companies: The influence of governance mechanisms on synergy between industry 4.0 and circular economy," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    3. Jain, Geetika & Paul, Justin & Shrivastava, Archana, 2021. "Hyper-personalization, co-creation, digital clienteling and transformation," Journal of Business Research, Elsevier, vol. 124(C), pages 12-23.
    4. Stekelorum, Rebecca & Laguir, Issam & Lai, Kee-hung & Gupta, Shivam & Kumar, Ajay, 2021. "Responsible governance mechanisms and the role of suppliers’ ambidexterity and big data predictive analytics capabilities in circular economy practices improvements," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    5. Yang, Li & Zou, Haobo & Shang, Chao & Ye, Xiaoming & Rani, Pratibha, 2023. "Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Belhadi, Amine & Kamble, Sachin & Jabbour, Charbel Jose Chiappetta & Gunasekaran, Angappa & Ndubisi, Nelson Oly & Venkatesh, Mani, 2021. "Manufacturing and service supply chain resilience to the COVID-19 outbreak: Lessons learned from the automobile and airline industries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    7. Bueno, Adauto & Goyannes Gusmão Caiado, Rodrigo & Guedes de Oliveira, Thaís Lopes & Scavarda, Luiz Felipe & Filho, Moacir Godinho & Tortorella, Guilherme Luz, 2023. "Lean 4.0 implementation framework: Proposition using a multi-method research approach," International Journal of Production Economics, Elsevier, vol. 264(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. Kamble, Sachin S. & Belhadi, Amine & Gunasekaran, Angappa & Ganapathy, L. & Verma, Surabhi, 2021. "A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    10. Bokhorst, Jos A.C. & Knol, Wilfred & Slomp, Jannes & Bortolotti, Thomas, 2022. "Assessing to what extent smart manufacturing builds on lean principles," International Journal of Production Economics, Elsevier, vol. 253(C).
    11. Rahmani, Amir & Aboojafari, Roohallah & Bonyadi Naeini, Ali & Mashayekh, Javad, 2024. "Adoption of digital innovation for resource efficiency and sustainability in the metal industry," Resources Policy, Elsevier, vol. 90(C).
    12. Henao, Rafael & Sarache, William, 2022. "Sustainable performance in manufacturing operations: The cumulative approach vs. trade-offs approach," International Journal of Production Economics, Elsevier, vol. 244(C).
    13. 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).
    14. Yilmaz, Aysegul & Dora, Manoj & Hezarkhani, Behzad & Kumar, Maneesh, 2022. "Lean and industry 4.0: Mapping determinants and barriers from a social, environmental, and operational perspective," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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