The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Connecting circular economy and industry 4.0
Abstract
Abstract The purpose of this paper is to understand the hidden connection between Circular Economy (CE) and Industry 4.0 in the context of supply chain. The factors responsible for linking CE and Industry 4.0 are studied from two angles viz. from the enablers’ side and barriers’ side. In the paper, twenty-six significant enabling and fifteen challenging factors are identified which are further factorized using Principal Component Analysis (PCA). DEMATEL approach is applied on the factors constructed from PCA. Here, the DEMATEL is applied for three different sets of data termed as Optimistic, Pessimistic and Most Likely. The paper identified Artificial Intelligence, Service and Policy Framework, and Circular Economy are significant enablers connecting CE and Industry 4.0. Similarly, paper reports Interface Designing and Automated Synergy Model as the most significant challenges to link CE and Industry 4.0 in a supply chain.
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Cites
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,578
Gray, R., Kouhy, R., & Lavers, S. (1995) · Accounting, Auditing & Accountability Journal · doi:10.1108/09513579510146996 · Cited by 3,321
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
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.021 · Cited by 2,628
Clarifying the concept of Product-Service System
Mont, O. K. (2002) · Journal of Cleaner Production · doi:10.1016/s0959-6526(01)00039-7 · Cited by 2,174
1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149
From cloud computing to cloud manufacturing
Xu, X. (2012) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.07.002 · Cited by 1,780
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Schumacher, A., Erol, S., & Sihn, W. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.07.040 · Cited by 1,766
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.01.002 · Cited by 1,581
Govindan, K., & Hasanagic, M. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1402141 · Cited by 1,522
Cited by
Artificial Intelligence and Business Value: a Literature Review
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022) · Information Systems Frontiers · doi:10.1007/s10796-021-10186-w · Cited by 1,046
Kristoffersen, E., Blomsma, F., Mikalef, P., & Li, J. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.07.044 · Cited by 841
Chauhan, C., Parida, V., & Dhir, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121508 · Cited by 726
Industry 4.0 and the Circular Economy: A Literature Review and Recommendations for Future Research
Awan, U., Sroufe, R., & Shahbaz, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2731 · Cited by 609
Denicolai, S., Zucchella, A., & Magnani, G. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120650 · Cited by 503
Metadata
- Authors
- Rajput, S., & Singh, S. P.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 49
- Pages
- 98-113
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2947011708
- Cited by
- 623
- References
- 73
- FWCI
- 104.31
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
