IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05019-z.html
   My bibliography  Save this article

Multi-dimensional policy decision-making model based on the quantum probability: the case of Korea’s nuclear power plant policy

Author

Listed:
  • Seunghwan Myeong

    (Inha University)

  • Jae Woo Lee

    (Inha University)

  • Jaehyun Bae

    (Inha University)

  • Chang Hee Cho

    (Inha University)

Abstract

Implementing a digital government is a more rational and transparent decision. However, many complex real-practice policies, such as nuclear energy, pensions, climate change, and aging societies, may require more nuanced and multi-dimensional perspectives. This study critiques the schools of deterministic perspectives and examines alternative frameworks grounded in quantum probability theories and multi-dimensional decision-making models. It further examines policy transparency and its interaction with policy values. Through an empirical case study of Korea’s nuclear power policy, the study demonstrates the transformative potential of a quantum-informed approach in policy-making. Our findings emphasize incorporating interaction, correction, and recalibration processes to improve policy effectiveness. In this respect, this study proposes a multi-dimensional policy-making model based on quantum probability. Inspiring a new era in policy-making, this quantum probability model proposes the integration of norms, institutions, technology, and contextual variables.

Suggested Citation

  • Seunghwan Myeong & Jae Woo Lee & Jaehyun Bae & Chang Hee Cho, 2025. "Multi-dimensional policy decision-making model based on the quantum probability: the case of Korea’s nuclear power plant policy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05019-z
    DOI: 10.1057/s41599-025-05019-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-05019-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-025-05019-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Orlikowski, Wanda J. (Wanda Janina), 1995. "Evolving with Notes : organizational change around groupware technology," Working papers 3823-95. CCSTR ; #186., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. M. Lynne Markus & Daniel Robey, 1988. "Information Technology and Organizational Change: Causal Structure in Theory and Research," Management Science, INFORMS, vol. 34(5), pages 583-598, May.
    3. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    4. Wanda Orlikowski, 1995. "Evolving with Notes: Organizational Change around Groupware Technology," Working Paper Series 186, MIT Center for Coordination Science.
    5. Chung, Ji-Bum, 2020. "Public deliberation on the national nuclear energy policy in Korea – Small successes but bigger challenges," Energy Policy, Elsevier, vol. 145(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hassan Qudrat-Ullah, 2025. "Trust, Equity, Transparency and Inclusion in Nuclear Energy Governance: Empirical Synthesis of the Q-NPT Framework," Energies, MDPI, vol. 18(20), pages 1-14, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandra A. Vannoy & A. F. Salam, 2010. "Managerial Interpretations of the Role of Information Systems in Competitive Actions and Firm Performance: A Grounded Theory Investigation," Information Systems Research, INFORMS, vol. 21(3), pages 496-515, September.
    2. Elkjær, Bente, 2000. "Knowledge Work and Organisational Learning," Working Papers 2000-1, Copenhagen Business School, Department of Informatics.
    3. Benno Torgler & Friedrich Schneider & Christoph A. Schaltegger, 2007. "With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy," CREMA Working Paper Series 2007-04, Center for Research in Economics, Management and the Arts (CREMA).
    4. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    5. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    6. Jae Wook Yoo & Richard Reed & Shung Jae Shin & David J. Lemak, 2009. "Strategic Choice and Performance in Late Movers: Influence of the Top Management Team's External Ties," Journal of Management Studies, Wiley Blackwell, vol. 46(2), pages 308-335, March.
    7. Giovanni Calice & Levent Kutlu & Ming Zeng, 2021. "Understanding US firm efficiency and its asset pricing implications," Empirical Economics, Springer, vol. 60(2), pages 803-827, February.
    8. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    9. José Castro Caldas & Helder Coelho, 1999. "The Origin of Institutions: Socio-Economic Processes, Choice, Norms and Conventions," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(2), pages 1-1.
    10. Nagler Matthew G., 2007. "Understanding the Internet's Relevance to Media Ownership Policy: A Model of Too Many Choices," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-28, June.
    11. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    12. Westerhoff Frank H., 2008. "The Use of Agent-Based Financial Market Models to Test the Effectiveness of Regulatory Policies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 195-227, April.
    13. Andrew Caplin & Mark Dean & Daniel Martin, 2011. "Search and Satisficing," American Economic Review, American Economic Association, vol. 101(7), pages 2899-2922, December.
    14. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    15. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    16. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    17. Nathan N. Cheek & Jacob Goebel, 2020. "What does it mean to maximize? “Decision difficulty,†indecisiveness, and the jingle-jangle fallacies in the measurement of maximizing," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(1), pages 7-24, January.
    18. Marianne Bertrand & Dean Karlin & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," NBER Working Papers 11892, National Bureau of Economic Research, Inc.
    19. Martinovici, A., 2019. "Revealing attention - how eye movements predict brand choice and moment of choice," Other publications TiSEM 7dca38a5-9f78-4aee-bd81-c, Tilburg University, School of Economics and Management.
    20. Moreno, William Fernando, 2025. "Modeling Knowledge and Decision-Making with the Conditional Reasoning Framework," OSF Preprints zwpnv_v9, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-05019-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/palcomms/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.