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A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi

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  • Klenk, Nicole L.
  • Hickey, Gordon M.

Abstract

Integrating knowledge and values across a range of stakeholders and experts is a common goal of, and challenge in, forecasting and planning processes across numerous decision-making domains. In this paper we present a virtual and anonymous, deliberative and analytical participatory group process which we applied in a planning study. The process was a combination of concept mapping and a policy Delphi. The Concept Mapping Policy Delphi offers an iterative process that is meant to foster critical, dissensus-based thinking by a group about an evaluation problem. In particular, it offers a platform on which to structure the group brainstorming of ideas, integrates knowledge and values, and creates a shared conceptual framework for addressing evaluation problems. We discuss the merits and limitations of this process and compare it with other public engagement mechanisms for decision-making. We argue that the use of a Concept Mapping Policy Delphi is relevant in forecasting and decision-making processes that aim to integrate information which is from various disparate points of view in order to clarify arguments and values, democratize and mediate public participation, and/or provide strategic advice about scenarios or planning options, while mitigating the problematic aspects of face-to-face group processes.

Suggested Citation

  • Klenk, Nicole L. & Hickey, Gordon M., 2011. "A virtual and anonymous, deliberative and analytic participation process for planning and evaluation: The Concept Mapping Policy Delphi," International Journal of Forecasting, Elsevier, vol. 27(1), pages 152-165, January.
  • Handle: RePEc:eee:intfor:v:27:y::i:1:p:152-165
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    References listed on IDEAS

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    1. Nick Novakowski & Barry Wellar, 2008. "Using the Delphi technique in normative planning research: methodological design considerations," Environment and Planning A, Pion Ltd, London, vol. 40(6), pages 1485-1500, June.
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    7. Steve Rayner, 2003. "Democracy in the age of assessment: Reflections on the roles of expertise and democracy in public-sector decision making," Science and Public Policy, Oxford University Press, vol. 30(3), pages 163-170, June.
    8. J Francisca Caron-Flinterman & Jacqueline E W Broerse & Julia Teerling & Melissa L Y van Alst & Simon Klaasen & L Edwin Swart & Joske F G Bunders, 2006. "Stakeholder participation in health research agenda setting: the case of asthma and COPD research in the Netherlands," Science and Public Policy, Oxford University Press, vol. 33(4), pages 291-304, May.
    9. Sutherland, Stephanie & Katz, Steven, 2005. "Concept mapping methodology: A catalyst for organizational learning," Evaluation and Program Planning, Elsevier, vol. 28(3), pages 257-269, August.
    10. Wright, George & Goodwin, Paul, 2009. "Decision making and planning under low levels of predictability: Enhancing the scenario method," International Journal of Forecasting, Elsevier, vol. 25(4), pages 813-825, October.
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    Cited by:

    1. Winkler, Jens & Kuklinski, Christian Paul Jian-Wei & Moser, Roger, 2015. "Decision making in emerging markets: The Delphi approach's contribution to coping with uncertainty and equivocality," Journal of Business Research, Elsevier, vol. 68(5), pages 1118-1126.
    2. repec:eee:intfor:v:27:y:2011:i:1:p:1-13 is not listed on IDEAS
    3. de Loë, Rob C. & Melnychuk, Natalya & Murray, Dan & Plummer, Ryan, 2016. "Advancing the State of Policy Delphi Practice: A Systematic Review Evaluating Methodological Evolution, Innovation, and Opportunities," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 78-88.
    4. Wright, George & Rowe, Gene, 2011. "Group-based judgmental forecasting: An integration of extant knowledge and the development of priorities for a new research agenda," International Journal of Forecasting, Elsevier, vol. 27(1), pages 1-13, January.
    5. Hop, G.E. & Mourits, M.C.M. & Oude Lansink, A.G.J.M. & Saatkamp, H.W., 2014. "Future structural developments in Dutch and German livestock production and implications for contagious livestock disease control," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 95-114.
    6. Spickermann, Alexander & Zimmermann, Martin & von der Gracht, Heiko A., 2014. "Surface- and deep-level diversity in panel selection — Exploring diversity effects on response behaviour in foresight," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 105-120.
    7. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
    8. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.

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