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A Socio-technical Approach for Group Decision Support in Public Strategic Planning: The Pernambuco PPA Case

Author

Listed:
  • Carlos A. Bana e Costa

    (Technical University of Lisbon)

  • João Carlos Lourenço

    (Technical University of Lisbon)

  • Mónica Duarte Oliveira

    (Technical University of Lisbon)

  • João C. Bana e Costa

    (BANA Consulting, Lda.)

Abstract

This article describes a socio-technical approach to public strategic planning. A multi-methodological framework with decision support systems (DSS) of problem structuring, multi-criteria decision analysis and strategic thinking was used in a decision conferencing process to support the key-players of the Pernambuco State Department of Social Development and Human Rights, in Brazil, to elaborate its 2008–2011 Multi-Annual Plan (PPA). This interactive process took place in June 2007, with thirty technical and political actors meeting in 5 consecutive days to discuss what should be the fundamental objectives/development axes of the PPA and to generate, assess and classify intervention programmes to achieve the objectives. Structuring objectives and programmes started by a group causal mapping session supported by the Decision Explorer DSS. Then, a multi-criteria group value model, created on-the-spot by means of the M-MACBETH DSS, helped the politicians in evaluating the overall benefit of each programme. The doability of the programmes was also appraised with MACBETH and, finally, the programmes were classified into four benefit versus doability categories defined in a $$2\times 2$$ strategic graph: “pearls” (programmes with high benefit value and easy to implement), “oysters” (high benefit but difficult to implement), “bread and butter” (easy to implement but of low added value) and “white elephants” (low benefit and difficult to implement). The group agreed that at least all pearls and oysters should be selected. The programmes were prioritised based on their value-for-effort and the robustness of the selection was analysed with the PROBE DSS a posteriori.

Suggested Citation

  • Carlos A. Bana e Costa & João Carlos Lourenço & Mónica Duarte Oliveira & João C. Bana e Costa, 2014. "A Socio-technical Approach for Group Decision Support in Public Strategic Planning: The Pernambuco PPA Case," Group Decision and Negotiation, Springer, vol. 23(1), pages 5-29, January.
  • Handle: RePEc:spr:grdene:v:23:y:2014:i:1:d:10.1007_s10726-012-9326-2
    DOI: 10.1007/s10726-012-9326-2
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    References listed on IDEAS

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    Cited by:

    1. Vieira, Ana C.L. & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2020. "Enhancing knowledge construction processes within multicriteria decision analysis: The Collaborative Value Modelling framework," Omega, Elsevier, vol. 94(C).
    2. Ion Georgiou & Joaquim Heck & Andrej Mrvar, 2019. "The Analysis of Interconnected Decision Areas: A Computational Approach to Finding All Feasible Solutions," Group Decision and Negotiation, Springer, vol. 28(3), pages 543-563, June.
    3. Mónica D. Oliveira & Inês Mataloto & Panos Kanavos, 2019. "Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 891-918, August.
    4. Dias, Luis C. & Antunes, Carlos Henggeler & Dantas, Guilherme & de Castro, Nivalde & Zamboni, Lucca, 2018. "A multi-criteria approach to sort and rank policies based on Delphi qualitative assessments and ELECTRE TRI: The case of smart grids in Brazil," Omega, Elsevier, vol. 76(C), pages 100-111.
    5. Ricardo J. G. Mateus & João C. Bana e Costa & Pedro Verga Matos, 2017. "Supporting Multicriteria Group Decisions with MACBETH Tools: Selection of Sustainable Brownfield Redevelopment Actions," Group Decision and Negotiation, Springer, vol. 26(3), pages 495-521, May.
    6. Rodrigues, Teresa C. & Montibeller, Gilberto & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2017. "Modelling multicriteria value interactions with Reasoning Maps," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1054-1071.
    7. Elena Tavella & L. Alberto Franco, 2015. "Dynamics of Group Knowledge Production in Facilitated Modelling Workshops: An Exploratory Study," Group Decision and Negotiation, Springer, vol. 24(3), pages 451-475, May.
    8. 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).
    9. Angelis, A. & Linch, M. & Montibeller, G. & Molina-Lopez, T. & Zawada, A. & Orzel, K. & Arickx, F. & Espin, J. & Kanavos, P., 2020. "Multiple Criteria Decision Analysis for HTA across four EU Member States: Piloting the Advance Value Framework," Social Science & Medicine, Elsevier, vol. 246(C).
    10. Bruno M. B. Pinto & Fernando A. F. Ferreira & Ronald W. Spahr & Mark A. Sunderman & Leandro F. Pereira, 2023. "Analyzing causes of urban blight using cognitive mapping and DEMATEL," Annals of Operations Research, Springer, vol. 325(2), pages 1083-1110, June.
    11. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Rodrigues, Teresa C. & Vieira, Ana C.L., 2023. "Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies," LSE Research Online Documents on Economics 118192, London School of Economics and Political Science, LSE Library.
    12. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Vieira, Ana C.L. & Freitas, Liliana & Rodrigues, Teresa C. & Bana e Costa, João & Freitas, Ângela & Santana, Paula, 2023. "Collaborative development of composite indices from qualitative value judgements: The EURO-HEALTHY Population Health Index model," European Journal of Operational Research, Elsevier, vol. 305(1), pages 475-492.
    13. Tiago Silveira Gontijo & Alexandre de C ssio Rodrigues & Cristiana Fernandes De Muylder & Jefferson Lopes la Falce & Thiago Henrique Martins Pereira, 2020. "Analysis of Olive Oil Market Volatility using the ARCH and GARCH techniques," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 423-428.

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