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Engendering stakeholder ownership in scenario planning


  • Soste, Leon
  • Wang, Q.J.
  • Robertson, David
  • Chaffe, Robert
  • Handley, Selina
  • Wei, Yongping


Achieving stakeholder ownership is a frequently espoused benefit of participatory planning processes. However, little is written about what stakeholder ownership actually means, and more importantly, how participation needs to be structured in order to achieve it. We explore the nature of stakeholder ownership and propose a conceptual framework which distills the requirements for its achievement into two themes—project governance and engagement processes. These themes are then enacted within each stage of an exploratory scenario planning process. Project governance deals with control and transparency in decision-making. It seeks to ensure that stakeholders make key decisions on project directions, processes and outputs. Engagement is based on the paradigm of collaboration or partnership. It requires the fostering of an environment for the safe expression of difference, mutual learning and co-generation of knowledge. We illustrate how the framework has been implemented in the context of planning for regional irrigated agriculture, provide an independent assessment of the level of stakeholder ownership achieved and reflect on project learnings, limitations and unresolved questions.

Suggested Citation

  • Soste, Leon & Wang, Q.J. & Robertson, David & Chaffe, Robert & Handley, Selina & Wei, Yongping, 2015. "Engendering stakeholder ownership in scenario planning," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 250-263.
  • Handle: RePEc:eee:tefoso:v:91:y:2015:i:c:p:250-263
    DOI: 10.1016/j.techfore.2014.03.002

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    References listed on IDEAS

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    5. Ray, Daryll E. & Richardson, James W. & De La Torre Ugarte, Daniel G. & Tiller, Kelly H., 1998. "Estimating Price Variability in Agriculture: Implications for Decision Makers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 30(01), pages 21-33, July.
    6. John M. Antle & Susan M. Capalbo, 2010. "Adaptation of Agricultural and Food Systems to Climate Change: An Economic and Policy Perspective," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 386-416.
    7. Gregor Dürrenberger & Hans Kastenholz & Jeannette Behringer, 1999. "Integrated assessment focus groups: Bridging the gap between science and policy?," Science and Public Policy, Oxford University Press, vol. 26(5), pages 341-349, October.
    8. Wiek, Arnim & Walter, Alexander I., 2009. "A transdisciplinary approach for formalized integrated planning and decision-making in complex systems," European Journal of Operational Research, Elsevier, vol. 197(1), pages 360-370, August.
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    Cited by:

    1. Meissner, Philip & Brands, Christian & Wulf, Torsten, 2017. "Quantifiying blind spots and weak signals in executive judgment: A structured integration of expert judgment into the scenario development process," International Journal of Forecasting, Elsevier, vol. 33(1), pages 244-253.
    2. Boateng, Mark K. & Awuah-Offei, Kwame, 2017. "Agent-based modeling framework for modeling the effect of information diffusion on community acceptance of mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 1-11.


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