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Expert knowledge elicitation to improve mental and formal models

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  • Ford, David N.
  • Sterman, John.

Abstract

Includes bibliographical references (p. 24-25).

Suggested Citation

  • Ford, David N. & Sterman, John., 1997. "Expert knowledge elicitation to improve mental and formal models," Working papers WP 3953-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    • Handle: RePEc:mit:sloanp:2654
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    File URL: http://hdl.handle.net/1721.1/2654
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    References listed on IDEAS

    as
    1. Gary Burchill & Charles H. Fine, 1997. "Time Versus Market Orientation in Product Concept Development: Empirically-Based Theory Generation," Management Science, INFORMS, vol. 43(4), pages 465-478, April.
    2. Robert P. Smith & Steven D. Eppinger, 1997. "Identifying Controlling Features of Engineering Design Iteration," Management Science, INFORMS, vol. 43(3), pages 276-293, March.
    3. Ford, David N. & Sterman, John., 1997. "Dynamic modeling of product development processes," Working papers WP 3943-97., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    4. Sterman, John., 1994. "Learning in and about complex systems," Working papers 3660-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Schaffernicht, Martin & Groesser, Stefan N., 2011. "A comprehensive method for comparing mental models of dynamic systems," European Journal of Operational Research, Elsevier, vol. 210(1), pages 57-67, April.
    2. Therese Bennich & Salim Belyazid & Birgit Kopainsky & Arnaud Diemer, 2018. "The Bio-Based Economy: Dynamics Governing Transition Pathways in the Swedish Forestry Sector," Sustainability, MDPI, vol. 10(4), pages 1-18, March.
    3. Panula-Ontto, Juha, 2019. "The AXIOM approach for probabilistic and causal modeling with expert elicited inputs," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 292-308.

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    HD28 .M414 no.3953-97;

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