The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Supply chain integration and Industry 4.0: a systematic literature review
Abstract
Purpose: The current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions. Design/methodology/approach: In this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords. Findings: The study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI. Research limitations/implications: In this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data. Originality/value: The present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.
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Citations
Cites
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276
The impact of supply chain integration on performance: A contingency and configuration approach
Flynn, B. B., Huo, B., & Zhao, X. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.06.001 · Cited by 3,310
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
Internet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501
Kusiak, A. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1351644 · Cited by 1,330
The industrial management of SMEs in the era of Industry 4.0
Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018) · International Journal of Production Research · doi:10.1080/00207543.2017.1372647 · Cited by 1,188
A cloud-based supply chain management system: effects on supply chain responsiveness
Giannakis, M., Spanaki, K., & Dubey, R. (2019) · Journal of Enterprise Information Management · doi:10.1108/jeim-05-2018-0106 · Cited by 149
Cited by
Ghobakhloo, M., Iranmanesh, M., Grybauskas, A., Vilkas, M., & Petraitė, M. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2867 · Cited by 462
Metadata
- Authors
- Tiwari, S.
- Venue
- Benchmarking: An International Journal
- Publisher
- Emerald
- Published
- 2020-11-27
- Volume
- 28
- Issue
- 3
- Pages
- 990-1030
- ISSN
- 1463-5771 (ISSN-L)
- OpenAlex
- W3108457281
- Cited by
- 220
- References
- 7
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tiwari, S. (2021). Supply chain integration and Industry 4.0: a systematic literature review. Benchmarking: An International Journal. https://doi.org/10.1108/bij-08-2020-0428
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.