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Modelling organisational resilience of public sector organisations to navigate complexity: empirical insights from Lithuania

Author

Listed:
  • Mindaugas Butkus

    (Mykolas Romeris University)

  • Giovanni Schiuma

    (Libera Universita Mediterranea)

  • Ilona Bartuseviciene

    (Mykolas Romeris University)

  • Lina Volodzkiene

    (Mykolas Romeris University)

  • Ona Grazina Rakauskiene

    (Mykolas Romeris University)

  • Laura Dargenyte-Kacileviciene

    (Mykolas Romeris University)

Abstract

Public sector organisations are increasingly tasked to adapt and evolve, dealing with shocks and disturbances without compromising their role as wealth generators. However, as complex adaptive systems, they do not manifest equal capacity for adaptation and evolution in response to complexity. This article explores the role of resilience in public sector organisations and sheds light on the interactions between different elements of resilience that enable these organisations to navigate complexity. The study combines a systematic literature review and a quantitative empirical investigation to propose and test a framework of organisational resilience in the public sector. It identifies planning, adaptation, and enhanced learning as critical phases to explain organisational resilience and how they intervene dynamically when dealing with adversity. The empirical investigation analyses the Lithuanian public sector organisations and explains the relationships among the model dimensions. The paper offers a model for theory development to understand the dimensions of the resilience of complex adaptive public sector organisations and how they interrelate with each other. For practice, it suggests which aspects are relevant to help public sector organisations develop their capacity to build resilience and overcome adversity.

Suggested Citation

  • Mindaugas Butkus & Giovanni Schiuma & Ilona Bartuseviciene & Lina Volodzkiene & Ona Grazina Rakauskiene & Laura Dargenyte-Kacileviciene, 2024. "Modelling organisational resilience of public sector organisations to navigate complexity: empirical insights from Lithuania," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(2), pages 373-399, April.
  • Handle: RePEc:spr:jeicoo:v:19:y:2024:i:2:d:10.1007_s11403-023-00403-x
    DOI: 10.1007/s11403-023-00403-x
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    References listed on IDEAS

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    1. Arjen Boin & Michel J. G. van Eeten, 2013. "The Resilient Organization," Public Management Review, Taylor & Francis Journals, vol. 15(3), pages 429-445, March.
    2. Leonard Bright, 2021. "Does Person Organization Fit and Person-Job Fit Mediate the Relationship between Public Service Motivation and Work Stress among U.S. Federal Employees?," Administrative Sciences, MDPI, vol. 11(2), pages 1-13, April.
    3. David G. Green, 2023. "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 419-462, July.
    4. Tamila Arnania-Kepuladze, 2014. "Institutions: Uncertainty In Definition Of The Term. A Brief Look At The History: 1890-1930," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 9(4), pages 79-102, December.
    5. Martin Hoegl & Silja Hartmann, 2021. "Bouncing back, if not beyond: Challenges for research on resilience," Asian Business & Management, Palgrave Macmillan, vol. 20(4), pages 456-464, September.
    6. Catrien J.A.M. Termeer & Margo A. van den Brink, 2013. "Organizational Conditions for Dealing with The Unknown Unknown," Public Management Review, Taylor & Francis Journals, vol. 15(1), pages 43-62, January.
    7. Aura Reggiani, 2022. "The Architecture of Connectivity: A Key to Network Vulnerability, Complexity and Resilience," Networks and Spatial Economics, Springer, vol. 22(3), pages 415-437, September.
    8. Brown, Charlotte & Seville, Erica & Vargo, John, 2017. "Measuring the organizational resilience of critical infrastructure providers: A New Zealand case study," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 37-49.
    9. Ilona Bartuseviciene & Mindaugas Butkus & Giovanni Schiuma, 2022. "Modelling organizational resilience structure: insights to assess resilience integrating bounce-back and bounce-forward," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 27(1), pages 153-169, June.
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    Cited by:

    1. Silvano Cincotti & Ilaria Giannoccaro & Cristina Ponsiglione & Linda Ponta & Andreas Pyka, 2024. "Editorial to the special issue on applications of complexity for resilient organizations, management and innovation systems," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 19(2), pages 193-200, April.

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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