The DOI matches its Crossref record; 76 of the 92 references it cites were found in a registry or an index.
Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies
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“Data security and liability risks are heightened within a highly interoperable ecosystem where one compromised node could impact many others (Allam and Dhunny 2019;Luthra and Mangla 2018), with the effects of security breaches especially damaging in these complex and interdependent systems involving multiple stakeholders.”
From Artificial intelligence in support of the circular economy: ethical considerations and a path forward (2024) · cites this paper as Luthra and Mangla 2018
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Cites
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,269
An Index of Factorial Simplicity
Kaiser, H. F. (1974) · Psychometrika · doi:10.1007/bf02291575 · Cited by 14,898 · cited 1×
“The KMO value obtained (0.758) is significantly more than the recommended minimum value i.e. 0.6 (Kaiser, 1974; Hair et al. 2006).”
BackgroundInfluentialMultivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,258
Design Principles for Industrie 4.0 Scenarios
Hermann, M., Pentek, T., & Otto, B. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.488 · Cited by 2,978 · cited 2×
“The fourth industrial revolution provides tremendous industrialization growth, but may also disturb the sustainability of current industrial systems (Hermann et al., 2016; Liao et al., 2017).”
BackgroundPast, 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 · cited 4×
“[Figure 1 about here] For this work, we performed Systematic Literature Review (SLR) (Biel and Glock, 2016; Papadopoulos et al., 2016; Liao et al., 2017).”
BackgroundMethodInfluentialService Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965
Opportunities of Sustainable Manufacturing in Industry 4.0
Stock, T. W., & Seliger, G. (2016) · Procedia CIRP · doi:10.1016/j.procir.2016.01.129 · Cited by 1,947 · cited 3×
“Smart factories can have a variety of sustainability implications like optimal use of resources, technology etc. (Stock and Seliger, 2016; Quezada et al., 2017).”
BackgroundInfluentialIndustry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,931 · cited 1×
“clear definition for proper understanding and practice in business (Hofmann and Rüsch, 2017).”
BackgroundWollschlaeger, M., Sauter, T., & Jasperneite, J. (2017) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2017.2649104 · Cited by 1,726 · cited 1×
“0 Over the past few years, industrial systems are influenced greatly by the introduction of the IoT and Cyber Physical networks concepts (Wollschlaeger et al., 2017).”
BackgroundImplementing Smart Factory of Industrie 4.0: An Outlook
Wang, S., Wan, J., Li, D., & Zhang, C. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/3159805 · Cited by 1,527 · cited 1×
“and activities to integrate and making manufacturing system more flexible, economical, and environmental friendly (Wang et al., 2016).”
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Items 901–906 of 906
Velásquez, T. J. P., Salazar, J. A. V., & Londoño, G. A. M. (2026) · Mundo FESC · doi:10.61799/2216-0388.2368
Perera, C. S. R., Francis, V., & Gao, S. (2026) · Construction Innovation · doi:10.1108/ci-11-2025-0478
A two-way assessment of agentic AI in supply chains: the technical–managerial divide
Sindhwani, R., Hasteer, N., & Kapur, P. K. (2026) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-026-03451-1
The global synchronization gap: Socio-technical alignment in industry 4.0
Özaydın, Ö., & Sanad, M. A. (2026) · Industry and Higher Education · doi:10.1177/09504222261498349
Singh, H., & Singh, B. (2026) · International Journal of Lean Six Sigma · doi:10.1108/ijlss-08-2025-0237
AKÇACI, T., Tatar, M., & Bayar, Y. (2026) · Akademik Yaklaşımlar Dergisi · doi:10.54688/ayd.1862175
Metadata
- Authors
- Luthra, S., & Mangla, S. K.
- Affiliations
- University of Plymouth (GB)
- Corresponding author
- Luthra, Sunil
- Venue
- Process Safety and Environmental Protection
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 117
- Pages
- 168-179
- ISSN
- 0263-8762 (ISSN-L)
- 0957-5820
- OpenAlex
- W2801978012
- Cited by
- 909
- References
- 92
- Citations by year
- 2026: 59 · 2025: 98 · 2024: 146 · 2023: 135 · 2022: 164 · 2021: 149 · 2020: 105 · 2019: 43 · 2018: 9
- FWCI
- 63.38
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Process Safety and Environmental Protection (publishedVersion)
- PEARL (University of Plymouth) (submittedVersion, cc-by-nc-sa)
- PEARL (University of Plymouth) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- Industry 4.0, supply chain sustainability, emerging markets, Indian manufacturing, organizational challenges, technical challenges, strategic challenges, legal and ethical issues, process safety, environmental protection
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