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Behavioural factors for Industry 4.0 adoption: implications for knowledge-based supply chains

Author

Listed:
  • Hasin Md. Muhtasim Taqi

    (Bangladesh University of Engineering and Technology
    Ahsanullah University of Science and Technology)

  • S. M. Shafaat Akhter Nur

    (Bangladesh University of Engineering and Technology)

  • Sheak Salman

    (Ahsanullah University of Science and Technology)

  • Tazim Ahmed

    (Jashore University of Science and Technology)

  • Sudipa Sarker

    (Aarhus University
    HUMLOG Institute, Hanken School of Economics)

  • Syed Mithun Ali

    (Bangladesh University of Engineering and Technology)

  • Bathrinath Sankaranarayanan

    (Kalasalingam Academy of Research and Education)

Abstract

Industry 4.0 (I4.0) is a relatively new and still emerging concept. Due to its novelty, companies find it extremely difficult to adopt I4.0 and reap the full benefit of the digital transformation of the fourth industrial revolution. Even though challenges to I4.0 adoption are well explored, the extant literature has hardly investigated the numerous human-based behavioural factors that are fundamental for I4.0 adoption. Human experience, engagement, and dedication to I4.0 adoption are crucial due to the complex nature of human behaviour and can significantly affect the success of I4.0 adoption. To address the gap, this paper aims to unveil the indispensable behavioural factors for I4.0 adoption and portray a hierarchical relationship among these factors. An extensive literature review is conducted to identify behaviour critical for I4.0 adoption to operationalise this research. Then, a decision support framework based on the Delphi technique and a revised rough DEMATEL method is used to map the relationships among the behavioural factors. The results reveal that the most critical behavioural factor to I4.0 adoption is “communication,” which is followed by “I4.0 training” and “resistance to I4.0 initiatives”. This study substantiates the research on I4.0 adoption and assists in I4.0 adoption. I4.0 adoption is also essential for a country’s competitiveness; therefore, the paper will support relevant policy formulation.

Suggested Citation

  • Hasin Md. Muhtasim Taqi & S. M. Shafaat Akhter Nur & Sheak Salman & Tazim Ahmed & Sudipa Sarker & Syed Mithun Ali & Bathrinath Sankaranarayanan, 2023. "Behavioural factors for Industry 4.0 adoption: implications for knowledge-based supply chains," Operations Management Research, Springer, vol. 16(3), pages 1122-1139, September.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:3:d:10.1007_s12063-022-00338-9
    DOI: 10.1007/s12063-022-00338-9
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    References listed on IDEAS

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    1. Ercan Oztemel & Samet Gursev, 2020. "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 127-182, January.
    2. Zhiwen Liu & Xinguo Ming, 2019. "A framework with revised rough-DEMATEL to capture and evaluate requirements for smart industrial product-service system of systems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7104-7122, November.
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    4. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    5. Tortorella, Guilherme Luz & Cawley Vergara, Alejandro Mac & Garza-Reyes, Jose Arturo & Sawhney, Rapinder, 2020. "Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers," International Journal of Production Economics, Elsevier, vol. 219(C), pages 284-294.
    6. Gianpaolo Abatecola & Matteo Cristofaro & Federico Giannetti & Johan Kask, 2022. "How can biases affect entrepreneurial decision making? toward a behavioral approach to unicorns," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 693-711, June.
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    8. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
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    Cited by:

    1. Guilherme F. Frederico & Danny Samson, 2023. "Knowledge-based supply chains and economies: the relation with the emergent technologies and other current issues," Operations Management Research, Springer, vol. 16(3), pages 1057-1058, September.
    2. Saumyaranjan Sahoo & Suresh Kumar Jakhar, 2024. "Industry 4.0 deployment for circular economy performance—Understanding the role of green procurement and remanufacturing activities," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 1144-1160, February.

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