The DOI matches its Crossref record; 200 of the 200 references it cites were found in a registry or an index.
Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework
Abstract
Purpose: The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths. Design/methodology/approach: Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities. Findings: This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions. Research limitations/implications: It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities. Social implications: Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities. Originality/value: This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.
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Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
DiMaggio, P. (1983) · American Sociological Review · Cited by 9,078
Bharadwaj, A. S. (2000) · MIS Quarterly · doi:10.2307/3250983 · Cited by 5,042
Industry 4.0: A survey on technologies, applications and open research issues
Lu, Y. (2017) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2017.04.005 · Cited by 3,012
Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958
Wade, M., & Hulland, J. (2004) · MIS Quarterly · doi:10.2307/25148626 · Cited by 2,822
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1308576 · Cited by 2,036
Opportunities of Sustainable Manufacturing in Industry 4.0
Stock, T., & Seliger, G. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.01.129 · Cited by 1,893
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Cited by
Bag, S., Pretorius, J. H. C., Gupta, S., & Dwivedi, Y. K. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120420 · Cited by 910
Self-citationChauhan, C., Parida, V., & Dhir, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121508 · Cited by 726
Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021) · Applied Sciences · doi:10.3390/app11125725 · Cited by 458
Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2024) · International Journal of Production Research · doi:10.1080/00207543.2023.2179859 · Cited by 330
Nexus of circular economy and sustainable business performance in the era of digitalization
Agrawal, R., Wankhede, V. A., Kumar, A., Upadhyay, A., & Garza-Reyes, J. A. (2022) · International Journal of Productivity and Performance Management · doi:10.1108/ijppm-12-2020-0676 · Cited by 284
Metadata
- Authors
- Bag, S., & Pretorius, J. H. C.
- Venue
- International Journal of Organizational Analysis
- Publisher
- Emerald
- Published
- 2020-07-16
- Volume
- 30
- Issue
- 4
- Pages
- 864-898
- ISSN
- 1758-8561 (ISSN-L)
- 1934-8835
- OpenAlex
- W3043722067
- Cited by
- 506
- References
- 200
- FWCI
- 35.00
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.