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C-KE/I: A pragmatic framework for policy innovation

Author

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  • Yves Meinard

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Irene Pluchinotta

    (UCL - University College of London [London])

Abstract

Improving policy making is key to address numerous contemporary challenges such as the environmental crisis, climate change, global inequality, financial crises, or pandemics. Policy making is a sequence of stages structuring policy problems and choices made to address them. Among these stages, policy design is a crucial phase since it impacts the quality of the policy alternatives being considered. Policy design is, however, largely neglected in the scientific literature, and in practice it is mainly conducted informally. Design theory, and more specifically Concept-Knowledge (C-K) theory, originally aimed at assisting the process of creating marketable objects, offers promises to formalize and rationalize policy design. We critically analyze this theory, showing that, despite its strengths, as it stands it is ill-adapted to support the innovative design of policy alternatives. For that purpose, we propose a framework, C-KE/I. This framework, which is inspired by and compatible with C-K, appraises innovation based on the explicit or implicit modal statements held by a certain individual or group ("E/I" stands for Explicit vs. Implicit). Through an ex-post analysis of a case study—the search for innovative policy solutions to water management problems in the Apulia Region, Italy—we illustrate the practical applicability and usefulness of our framework.

Suggested Citation

  • Yves Meinard & Irene Pluchinotta, 2022. "C-KE/I: A pragmatic framework for policy innovation," Post-Print hal-03881635, HAL.
  • Handle: RePEc:hal:journl:hal-03881635
    DOI: 10.1016/j.ejdp.2022.100016
    Note: View the original document on HAL open archive server: https://hal.science/hal-03881635
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    References listed on IDEAS

    as
    1. Pascal Le Masson & Benoit Weil & Armand Hatchuel, 2017. "Design Theory - Methods and Organization for Innovation," Post-Print hal-01481877, HAL.
    2. Ferretti, Valentina & Pluchinotta, Irene & Tsoukiàs, Alexis, 2019. "Studying the generation of alternatives in public policy making processes," European Journal of Operational Research, Elsevier, vol. 273(1), pages 353-363.
    3. Araz Taeihagh, 2017. "Network-centric policy design," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(2), pages 317-338, June.
    4. Giada Marchi & Giulia Lucertini & Alexis Tsoukiàs, 2016. "From evidence-based policy making to policy analytics," Annals of Operations Research, Springer, vol. 236(1), pages 15-38, January.
    5. Giada Marchi & Giulia Lucertini & Alexis Tsoukiàs, 2016. "From evidence-based policy making to policy analytics," Annals of Operations Research, Springer, vol. 236(1), pages 15-38, January.
    6. Meinard, Y. & Cailloux, O., 2020. "On justifying the norms underlying decision support," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1002-1010.
    7. Katherine Daniell & Alec Morton & David Ríos Insua, 2016. "Policy analysis and policy analytics," Annals of Operations Research, Springer, vol. 236(1), pages 1-13, January.
    8. 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.
    9. Meinard, Y. & Tsoukiàs, A., 2019. "On the rationality of decision aiding processes," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1074-1084.
    10. Katherine A. Daniell & Alec Morton & David Ríos Insua, 2016. "Policy analysis and policy analytics," Annals of Operations Research, Springer, vol. 236(1), pages 1-13, January.
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    Keywords

    Policy design; C-K theory; Policy making; Water management; Policy analytics;
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