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

Taqi, aHasin Md. Muhtasim; Nur, S. M. Shafaat Akhter; Salman, Sheak; Ahmed, Tazim; Sarker, Sudipa; Ali, Syed Mithun; Sankaranarayanan, Bathrinath

Authors

aHasin Md. Muhtasim Taqi

S. M. Shafaat Akhter Nur

Sheak Salman

Tazim Ahmed

Syed Mithun Ali

Bathrinath Sankaranarayanan



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.

Citation

Taqi, A. M. M., Nur, S. M. S. A., Salman, S., Ahmed, T., Sarker, S., Ali, S. M., & Sankaranarayanan, B. (in press). Behavioural factors for Industry 4.0 adoption: implications for knowledge-based supply chains. Operations Management Research, https://doi.org/10.1007/s12063-022-00338-9

Journal Article Type Article
Acceptance Date Nov 30, 2022
Online Publication Date Jan 18, 2023
Deposit Date Feb 15, 2023
Journal Operations Management Research
Print ISSN 1936-9735
Electronic ISSN 1936-9743
Publisher Springer
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1007/s12063-022-00338-9
Keywords Behavioural factors, Internet of Things (IoT), Cyber-physical systems (CPS), Emerging countries, Innovative technology