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A strategic forecasting framework for governmental decision-making and planning

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  • Savio, Nicolas D.
  • Nikolopoulos, Konstantinos

Abstract

An important stage in the policy-making process involves deciding on the strategy to be adopted for implementation, so that the objectives of the policy are met in the best possible way. A Policy Implementation Strategy (PIS) adopts a broad view of implementation, which is argued to transcend formulation and decision-making, thereby offering a more realistic view of the policy process. Governmental decision-makers are often faced with having to choose one PIS from among several possible alternatives, at varying cost levels. In order to aid such a decision-making process, PIS effectiveness forecasts are proposed as a strategic decision-support tool. The methods currently available for such a purpose are found to include resource-intensive evaluative techniques such as Impact Assessment and Cost-Benefit Analysis. In this study, a Structured Analogies forecasting approach is proposed, and the empirical evidence suggests that it could be seen as a strategic tool in the hands of governmental officers.

Suggested Citation

  • Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
    • Handle: RePEc:eee:intfor:v:29:y:2013:i:2:p:311-321
    DOI: 10.1016/j.ijforecast.2011.08.002
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    References listed on IDEAS

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    1. Katsagounos, Ilias & Thomakos, Dimitrios D. & Litsiou, Konstantia & Nikolopoulos, Konstantinos, 2021. "Superforecasting reality check: Evidence from a small pool of experts and expedited identification," European Journal of Operational Research, Elsevier, vol. 289(1), pages 107-117.
    2. Litsiou, Konstantia & Polychronakis, Yiannis & Karami, Azhdar & Nikolopoulos, Konstantinos, 2022. "Relative performance of judgmental methods for forecasting the success of megaprojects," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1185-1196.
    3. Nikolopoulos, Konstantinos & Litsa, Akrivi & Petropoulos, Fotios & Bougioukos, Vasileios & Khammash, Marwan, 2015. "Relative performance of methods for forecasting special events," Journal of Business Research, Elsevier, vol. 68(8), pages 1785-1791.
    4. Lu, Emiao & Handl, Julia & Xu, Dong-ling, 2018. "Determining analogies based on the integration of multiple information sources," International Journal of Forecasting, Elsevier, vol. 34(3), pages 507-528.

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