The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Critical factors for the successful implementation of Industry 4.0: a review and future research direction
Abstract
Industry 4.0 symbolizes the fourth industrial revolution and the current trend of automation and data exchange in manufacturing technologies. The purpose of this article is to examine the research question on how to successfully implement Industry 4.0 in organizations. This study through a systematic literature review protocol proposed by Tranfield, Denyer, and Smart analyzed 84 articles in depth. The descriptive, categorical and thematic analysis of the literature is conducted. This study identifies 10 critical success factors which are necessary for the successful implementation of Industry 4.0 in the organization. Based on the 10 critical success factors 10 research directions in this area is further expounded. This study can be used by the organizations as a guiding factor while implementing Industry 4.0 in their organizations. Focussing on these 10 factors will help organizations to be sustainable during the implementation of Industry 4.0. Though there are some literature reviews on Industry 4.0, this study critically analyses the literature for finding the critical factors for the successful implementation of Industry 4.0.
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Citations
Cites
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The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449
Tranfield, D., Denyer, D., & Smart, P. (2003) · British Journal of Management · doi:10.1111/1467-8551.00375 · Cited by 15,386
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Corbin, J., & Strauss, A. (2008) · SAGE · doi:10.4135/9781452230153 · Cited by 12,136 · cited 1×
“The articles were analysed for the higher-order themes, this was conducted by the grounded theory methodology (Glaser, Strauss, and Strutzel 1968; Corbin and Strauss 2008).”
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727
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“Further country-wise analysis of several articles is conducted, and it depicts that most of the research articles were from Germany, followed by the US and UK.”
BackgroundInfluentialIndustry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,221
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
Cited by
Industry 4.0 and the supply chain digitalisation: a blockchain diffusion perspective
Wamba, S. F., & Queiroz, M. M. (2022) · Production Planning & Control · doi:10.1080/09537287.2020.1810756 · Cited by 298
Stornelli, A., Ozcan, S., & Simms, C. (2021) · Research Policy · doi:10.1016/j.respol.2021.104229 · Cited by 268
Proposed managerial competencies for Industry 4.0 – Implications for social sustainability
Shet, S. V., & Pereira, V. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121080 · Cited by 205
Industry’s 4.0 transformation process: How to start, where to aim, what to be aware of
Calabrese, A., Dora, M., Levialdi Ghiron, N., & Tiburzi, L. (2022) · Production Planning & Control · doi:10.1080/09537287.2020.1830315 · Cited by 109
From Public E-Procurement 3.0 to E-Procurement 4.0; A Critical Literature Review
Mavidis, A., & Folinas, D. (2022) · Sustainability · doi:10.3390/su141811252 · Cited by 45
Metadata
- Authors
- Sony, M., & Naik, S.
- Venue
- Production Planning & Control
- Publisher
- Informa UK Limited
- Published
- 2019-11-18
- Volume
- 31
- Issue
- 10
- Pages
- 799-815
- ISSN
- 0953-7287 (ISSN-L)
- 1366-5871
- OpenAlex
- W2983604889
- Cited by
- 401
- References
- 108
- FWCI
- 28.80
- 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.
