Addressing Industry 4.0 Cybersecurity Challenges
Abstract
Awareness is building on how managers should be involved in Industry 4.0 cybersecurity. This awareness and concern derives from heavy dependence of integrated information systems and technology for Industry 4.0. Manufacturing companies rely on data to run their operations. The Internet of Things is exponentially increasing the number of entry points for organizations to defend from nefarious actors. Complex digital value chains expose firms to risks beyond their direct control. The potential damage of cyberattacks is substantial in terms of continuity of business operations, theft of confidential information, and reputational harm. Even with this mounting sense of urgency, there is increasing confusion on what needs to be done and how. C-suite executives and entrepreneurs are puzzled due to the complexity of issues and concerns. Cybersecurity professionals, for their part, often fail to make the issue relevant and accessible to non-technical stakeholders. In this paper, we clarify why Industry 4.0 requires an evolving cybersecurity perspective. We identify where current approaches fall short and what emerging practices are gaining relevance. Our analysis is based on discussions with senior executives and an extensive literature review of academic papers and practical reports.
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Usability studies in HRIS systems show that dashboards tailored through UCD principles reduced helpdesk queries by nearly half and improved onboarding speed for new employees.
“Similarly, usability studies in HRIS systems show that dashboards tailored through UCD principles reduced helpdesk queries by nearly half and improved onboarding speed for new employees (Culot et al., 2019).”
From A Systematic Literature Review of User-Centric Design in Digital Business Systems Enhancing Accessibility, Adoption, and Organizational Impact (2023) · cites this paper as Culot et al., 2019
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Cybersecurity for Industry 4.0 in the current literature: A reference framework
Lezzi, M., Lazoi, M., & Corallo, A. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.09.004 · Cited by 404 · see citing works
Reshoring and Industry 4.0: How Often Do They Go Together?
Ancarani, A., & Mauro, C. D. (2018) · IEEE Engineering Management Review · doi:10.1109/emr.2018.2833475 · Cited by 112 · see citing works
Ten Lessons for Managers While Implementing Industry 4.0
Sony, M., & Naik, S. S. (2019) · IEEE Engineering Management Review · doi:10.1109/emr.2019.2913930 · Cited by 103 · see citing works
Hooper, V. A., & McKissack, J. (2016) · Business Horizons · doi:10.1016/j.bushor.2016.07.004 · Cited by 43 · see citing works
Building Value in a World of Technological Change: Data Analytics and Industry 4.0
Wang, D. (2018) · IEEE Engineering Management Review · doi:10.1109/emr.2018.2809915 · Cited by 40 · see citing works
Positioning Your Organization to Respond to Insider Threats
Greitzer, F. L., Purl, J., Leong, Y. M., & Sticha, P. J. (2019) · IEEE Engineering Management Review · doi:10.1109/emr.2019.2914612 · Cited by 35 · see citing works
The Cyber Risk Handbook : Creating and Measuring Effective Cybersecurity Capabilities
Antonucci, D. (2017) · Wiley eBooks · doi:10.1002/9781119309741 · Cited by 19 · see citing works
Business and cyber peace: We need you!
Shackelford, S. (2016) · Business Horizons · doi:10.1016/j.bushor.2016.03.015 · Cited by 15 · see citing works
Sanders, G. L., Upadhyaya, S., & Wang, X. (2019) · IEEE Engineering Management Review · doi:10.1109/emr.2019.2917656 · Cited by 11 · see citing works
Lysne, O. (2018) · OAPEN (The OAPEN Foundation) · doi:10.1007/978-3-319-74950-1 · Cited by 10 · see citing works
MIN-ITs: A Framework for Integration of IT Management Standards in Mature Environments
Mesquida, A., Mas, A., Feliú, T. S., et al. (2014) · International Journal of Software Engineering and Knowledge Engineering · doi:10.1142/s0218194014400026 · Cited by 8 · see citing works
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A Review of Cybersecurity Guidelines for Manufacturing Factories in Industry 4.0
Mullet, V., Sondi, P., & Ramat, E. (2021) · IEEE Access · doi:10.1109/access.2021.3056650 · Cited by 161 · see citing works
“This management view of cybersecurity developed in [11] completes the technical one.”
BackgroundKrishnaveni, S., Chen, T. M., Sathiyanarayanan, M., & Amutha, B. (2024) · Cluster Computing · doi:10.1007/s10586-024-04320-x · Cited by 44 · see citing works
Master of Science in Management Information Systems, L. U., Barua, T., Rahman, M. A., & MBA in Management Information System, I. A. U. (2023) · American Journal of Scholarly Research and Innovation · doi:10.63125/36w7fn47 · Cited by 24 · see citing works
- Authors
- Culot, G., Fattori, F., Podrecca, M., & Sartor, M.
- Affiliations
- University of Udine (IT)
- Boston Consulting Group (United States) (US)
- Venue
- IEEE Engineering Management Review
- Published
- 2019-09-01
- Volume
- 47
- Issue
- 3
- Pages
- 79-86
- ISSN
- 0360-8581 (ISSN-L)
- 1937-4178
- OpenAlex
- W2956382671
- Cited by
- 184
- References
- 11
- Citations by year
- 2026: 9 · 2025: 29 · 2024: 36 · 2023: 36 · 2022: 31 · 2021: 29 · 2020: 12 · 2019: 2
- FWCI
- 23.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Engineering Management Review (publishedVersion)
- Institutional Research Information System (University of Udine) (submittedVersion)
- Aisberg (University of Bergamo) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- Industry 4.0, cybersecurity, manufacturing companies, Internet of Things, cyberattack risk, business continuity, data security, C-suite executives, stakeholder communication, digital value chain
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