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Title An industry 4.0 adoption in the circular economy application hierarchical model: driver, enable and barrier aspects
ID_Doc 2201
Authors Abdul-Hamid, AQ; Ali, MH; Osman, LH; Tseng, ML; Omar, ARC
Title An industry 4.0 adoption in the circular economy application hierarchical model: driver, enable and barrier aspects
Year 2024
Published Industrial Management & Data Systems, 124, 1
DOI 10.1108/IMDS-12-2022-0780
Abstract PurposeThis paper aims to contribute significantly to the empirical investigations on adopting Industry 4.0-circular economy in the Malaysian palm oil industry. The paper also aims to theorise and empirically assess a comprehensive model incorporating three aspects and 51 criteria.Design/methodology/approachA two-stage methodology is proposed using the fuzzy Delphi method and the fuzzy-based analytical network process. Twenty-seven criteria on adoptability of industry 4.0-circular economy were selected for the first-stage methodology, followed by identifying each criteria's intersection with the overall objectives.FindingsThe findings indicate that financial constraints, the lack of a collaborative I4.0-CE model, laws and policy, low management support and the training of dedicated employers in I4.0-CE-application are the top five criteria requiring critical attention from the POI.Practical implicationsThe overall sustainability advantages of the POI are identified and discussed in depth to establish criteria for industry 4.0-circular economy applications.Originality/valueThis study fills the previous research gap by theoretically explaining POI's industry 4.0 adoption-circular economy from the perspective of two underpinning theories. Due to the pressure towards sustainability, the industry must be ready to adopt industry 4.0-circular economy applications, and resources must be managed appropriately and effectively by sharing and integrating. Advanced industry 4.0 technologies and pragmatic practices such as a circular economy are needed to achieve optimal sustainable development while retaining commercial success.
Author Keywords Circular economy; Industry 4.0; Ecological modernisation theory; Resource dependency theory; Fuzzy-based ANP
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001101708000001
WoS Category Computer Science, Interdisciplinary Applications; Engineering, Industrial
Research Area Computer Science; Engineering
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