Adaptive Governance of Disaster and Systemic Risks in Critical Energy Infrastructure: A Complex Adaptive Systems Perspective
DOI:
https://doi.org/10.66050/jts33w36Keywords:
adaptive governance capacity, disaster risk governance, critical energy infrastructure, complex adaptive systemsAbstract
Critical energy infrastructure operates in an increasingly complex environment characterized by disaster risks, systemic risks, interdependencies, and uncertainty. Traditional approaches emphasizing regulatory compliance and technical protection are no longer sufficient to explain how infrastructure resilience is achieved under rapidly changing conditions. Drawing on Complex Adaptive Systems Theory, this study examines how adaptive governance contributes to managing disaster and systemic risks within critical energy infrastructure. A qualitative instrumental case study was conducted in Naftna Industrija Srbije (NIS), using semi-structured interviews with ten experts responsible for corporate security and critical infrastructure protection, complemented by document analysis. Data were analyzed through reflexive thematic analysis. The findings identify four interrelated governance dimensions: institutional coordination, public-private collaboration, adaptive organizational learning, and governance adaptation. Building on these findings, the study develops the Adaptive Governance Capacity Framework, conceptualized as the collective capability of interconnected public and private actors to coordinate, learn, exchange knowledge, and adapt governance processes in response to evolving disaster and systemic risks. The study contributes to the literature by integrating Critical Infrastructure Theory, Disaster Risk Governance, Collaborative Governance, Organizational Resilience, and Complex Adaptive Systems Theory into a coherent conceptual framework. The findings also provide practical implications for policymakers, infrastructure operators, and emergency management authorities responsible for strengthening resilience in complex critical infrastructure systems.
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1. Ansell, C., & Gash, A. (2008). Collaborative governance in theory and practice. Journal of Public Administration Research and Theory, 18(4), 543–571. https://doi.org/10.1093/jopart/mum032
2. Arvidsson, B., Johansson, J., & Guldåker, N. (2021). Critical infrastructure, geographical information science and risk governance: A systematic cross-field review. Reliability Engineering & System Safety, 213, 107741. https://doi.org/10.1016/j.ress.2021.107741
3. Aven, T., & Renn, O. (2010). Risk management and governance: Concepts, guidelines and applications. Springer. https://doi.org/10.1007/978-3-642-13926-0
4. Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/qrj0902027
5. Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238
6. Bryson, J. M., Crosby, B. C., & Stone, M. M. (2015). Designing and implementing cross-sector collaborations: Needed and challenging. Public Administration Review, 75(5), 647–663. https://doi.org/10.1111/puar.12432
7. Comfort, L. K. (2019). The dynamics of risk: Changing technologies and collective action in seismic events. Princeton University Press.
8. Duchek, S. (2020). Organizational resilience: A capability-based conceptualization. Business Research, 13(1), 215–246. https://doi.org/10.1007/s40685-019-0085-7
9. Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550. https://doi.org/10.5465/amr.1989.4308385
10. Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25–32. https://doi.org/10.5465/amj.2007.24160888
11. Emerson, K., & Nabatchi, T. (2015). Collaborative governance regimes. Georgetown University Press. https://doi.org/10.1353/book44406
12. Hanspal, M. S., Cvetković, V. M., Lipovac, M., & Popović, D. J. (2026). Regulating emerging technologies in disaster management: A comparative analysis of security governance and legal liability in India and Serbia. International Journal of Disaster Risk Management, 8(1), 147–162. https://doi.org/10.66050/5jedtn66
13. Holland, J. H. (2006). Studying complex adaptive systems. Journal of Systems Science and Complexity, 19(1), 1–8. https://doi.org/10.1007/s11424-006-0001-z
14. Hollnagel, E. (2014). Safety-I and Safety-II: The past and future of safety management. Ashgate. https://doi.org/10.1201/9781315607511
15. Islam, M., Islam, M. A., Afroj, F., Islam, A. A., Karmakar, O., Nayem, A. A. M., & Hoque, M. A. (2026). Volunteer-led emergency flood response in Bangladesh: Evidence for strengthening disaster-risk governance. International Journal of Disaster Risk Management, 8(1), 163–182. https://doi.org/10.66050/jf110s44
16. Klinke, A., & Renn, O. (2021). The coming of age of risk governance. Risk Analysis, 41(3), 544–557. https://doi.org/10.1111/risa.13383
17. Knodt, M., Fraune, C., & Engel, A. (2022). Local governance of critical infrastructure resilience: Types of coordination in German cities. Journal of Contingencies and Crisis Management, 30(3), 307–316. https://doi.org/10.1111/1468-5973.12386
18. Levin, S. A. (1998). Ecosystems and the biosphere as complex adaptive systems. Ecosystems, 1(5), 431–436. https://doi.org/10.1007/s100219900037
19. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
20. Linkov, I., & Trump, B. D. (2019). The science and practice of resilience. Springer. https://doi.org/10.1007/978-3-030-04565-4
21. Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies: Guided by information power. Qualitative Health Research, 26(13), 1753–1760. https://doi.org/10.1177/1049732315617444
22. Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Jossey-Bass.
23. Organisation for Economic Co-operation and Development. (2019). Good governance for critical infrastructure resilience. OECD Publishing. https://doi.org/10.1787/02f0e5a0-en
24. Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice (4th ed.). Sage.
25. Pescaroli, G., & Alexander, D. (2016). Critical infrastructure, panarchies and the vulnerability paths of cascading disasters. Natural Hazards, 82(1), 175–192. https://doi.org/10.1007/s11069-016-2186-3
26. Stake, R. E. (1995). The art of case study research. Sage.
27. United Nations Office for Disaster Risk Reduction. (2022). Global assessment report on disaster risk reduction 2022: Our world at risk—Transforming governance for a resilient future. UNDRR. https://doi.org/10.18356/9789210015059
28. Vidović, N., Beriša, H., & Cvetković, V. M. (2024). Optimising disaster resilience through advanced risk management and financial analysis of critical infrastructure in the Serbian defence industry. International Journal of Disaster Risk Management, 6(2), 183–199. https://doi.org/10.18485/ijdrm.2024.6.2.12
29. Vuletić, D. (2026). Strategic risks of AI-enabled automation: Implications for crisis management and systemic resilience. International Journal of Disaster Risk Management, 8(1), 131–146. https://doi.org/10.66050/xhmjy003
30. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.
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