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Resource Allocation in Local Government with Facilitated Portfolio Decision Analysis

In: Portfolio Decision Analysis

Author

Listed:
  • Gilberto Montibeller

    (Management Science Group)

  • L. Alberto Franco

    (Warwick Business School)

Abstract

Resource allocation in local government imposes several challenges for public managers, such as substantial pressures for more efficiency in public spending, frequent changes in levels of income for public organisations, steadily growing demand for public services, and higher public expectations and increased scrutiny. In order to tackle these challenges effectively public managers and policy makers are focusing on changing old ways of working, with a view to creating and delivering public value in an ever increasingly “wicked” context. One area of concern relates to improving decision-making processes and the accountability of decisions, particularly within the context of resource allocation in local government. In this chapter, we review our experience of using facilitated portfolio decision analysis to help local government teams assess the value of a range of public services or projects. Our discussion is focused primarily on the British local government context, and illustrated with several case studies drawn from our own research and practical interventions. The approach and experience discussed here, however, can be easily translated to similar contexts in other countries.

Suggested Citation

  • Gilberto Montibeller & L. Alberto Franco, 2011. "Resource Allocation in Local Government with Facilitated Portfolio Decision Analysis," International Series in Operations Research & Management Science, in: Ahti Salo & Jeffrey Keisler & Alec Morton (ed.), Portfolio Decision Analysis, chapter 0, pages 259-281, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-9943-6_12
    DOI: 10.1007/978-1-4419-9943-6_12
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    Cited by:

    1. Marques, Adriana Cavalcante & Frej, Eduarda Asfora & de Almeida, Adiel Teixeira, 2022. "Multicriteria decision support for project portfolio selection with the FITradeoff method," Omega, Elsevier, vol. 111(C).
    2. Gomes, Luís S. & Santos, Sérgio P. & Coelho, Luís Serra & Rebelo, Efigénio L., 2023. "Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).

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