IDEAS home Printed from https://ideas.repec.org/a/bla/sysdyn/v32y2016i3-4p261-278.html
   My bibliography  Save this article

Determining intervention thresholds that change output behavior patterns

Author

Listed:
  • Bob Walrave

Abstract

No abstract is available for this item.

Suggested Citation

  • Bob Walrave, 2016. "Determining intervention thresholds that change output behavior patterns," System Dynamics Review, System Dynamics Society, vol. 32(3-4), pages 261-278, July.
    • Handle: RePEc:bla:sysdyn:v:32:y:2016:i:3-4:p:261-278
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/sdr.1564
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Bob Walrave & Kim E. van Oorschot & A. Georges L. Romme, 2011. "Getting Trapped in the Suppression of Exploration: A Simulation Model," Journal of Management Studies, Wiley Blackwell, vol. 48(8), pages 1727-1751, December.
    2. Andrew Ford, 1990. "Estimating the Impact of Efficiency Standards on the Uncertainty of the Northwest Electric System," Operations Research, INFORMS, vol. 38(4), pages 580-597, August.
    3. Morecroft, John D. W., 1988. "System dynamics and microworlds for policymakers," European Journal of Operational Research, Elsevier, vol. 35(3), pages 301-320, June.
    4. Jan H. Kwakkel & Erik Pruyt, 2015. "Using System Dynamics for Grand Challenges: The ESDMA Approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(3), pages 358-375, May.
    5. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    6. Kwakkel, Jan H. & Auping, Willem L. & Pruyt, Erik, 2013. "Dynamic scenario discovery under deep uncertainty: The future of copper," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 789-800.
    7. A. Georges L. Romme & Maurizio Zollo & Peter Berends, 2010. "Dynamic capabilities, deliberate learning and environmental dynamism: a simulation model," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(4), pages 1271-1299, August.
    8. Corduas, Marcella & Piccolo, Domenico, 2008. "Time series clustering and classification by the autoregressive metric," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1860-1872, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Raven, Rob & Walrave, Bob, 2020. "Overcoming transformational failures through policy mixes in the dynamics of technological innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    2. Turner, Benjamin L., 2020. "Model laboratories: A quick-start guide for design of simulation experiments for dynamic systems models," Ecological Modelling, Elsevier, vol. 434(C).
    3. Mert Edali, 2022. "Pattern‐oriented analysis of system dynamics models via random forests," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 135-166, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federico Cosenz & Guido Noto, 2016. "Applying System Dynamics Modelling to Strategic Management: A Literature Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 33(6), pages 703-741, November.
    2. Turner, Benjamin L., 2020. "Model laboratories: A quick-start guide for design of simulation experiments for dynamic systems models," Ecological Modelling, Elsevier, vol. 434(C).
    3. Erik Pruyt & Tushith Islam, 2015. "On generating and exploring the behavior space of complex models," System Dynamics Review, System Dynamics Society, vol. 31(4), pages 220-249, October.
    4. Keilhacker, Michael L. & Minner, Stefan, 2017. "Supply chain risk management for critical commodities: A system dynamics model for the case of the rare earth elements," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 349-362.
    5. Chamon Wieles & Jan Kwakkel & Willem L. Auping & Jan Willem van den End, 2024. "Scenario discovery to address deep uncertainty in monetary policy," Working Papers 818, DNB.
    6. Rashwan, Wael & Abo-Hamad, Waleed & Arisha, Amr, 2015. "A system dynamics view of the acute bed blockage problem in the Irish healthcare system," European Journal of Operational Research, Elsevier, vol. 247(1), pages 276-293.
    7. Isabel Banos-Gonzalez & Julia Martínez-Fernández & Miguel-Ángel Esteve-Selma & Patricia Esteve-Guirao, 2018. "Sensitivity Analysis in Socio-Ecological Models as a Tool in Environmental Policy for Sustainability," Sustainability, MDPI, vol. 10(8), pages 1-30, August.
    8. Navid Ghaffarzadegan & Richard C. Larson, 2018. "SD meets OR: a new synergy to address policy problems," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 327-353, January.
    9. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    10. Jan H. Kwakkel, 2019. "A generalized many‐objective optimization approach for scenario discovery," Futures & Foresight Science, John Wiley & Sons, vol. 1(2), June.
    11. Saleh, Mohamed & Oliva, Rogelio & Kampmann, Christian Erik & Davidsen, Pål I., 2010. "A comprehensive analytical approach for policy analysis of system dynamics models," European Journal of Operational Research, Elsevier, vol. 203(3), pages 673-683, June.
    12. Steinmann, Patrick & Auping, Willem L. & Kwakkel, Jan H., 2020. "Behavior-based scenario discovery using time series clustering," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    13. Herrera, H & Schütz, L & Paas, W & Reidsma, P & Kopainsky, B, 2022. "Understanding resilience of farming systems: Insights from system dynamics modelling for an arable farming system in the Netherlands," Ecological Modelling, Elsevier, vol. 464(C).
    14. Liu, Shen & Maharaj, Elizabeth Ann & Inder, Brett, 2014. "Polarization of forecast densities: A new approach to time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 345-361.
    15. Sebrek, Szabolcs S. & Romme, A. Georges L. & Kosztyán, Zsolt T., 2025. "How to create dynamic capabilities: A design science study," Technovation, Elsevier, vol. 143(C).
    16. Francesco Tonini & Francesco Davide Sanvito & Fabrizio Colombelli & Emanuela Colombo, 2022. "Improving Sustainable Access to Electricity in Rural Tanzania: A System Dynamics Approach to the Matembwe Village," Energies, MDPI, vol. 15(5), pages 1-17, March.
    17. Tina C. Ambos & Katherine Tatarinov, 2023. "Fit for solving the grand challenges? From organization design choices to ecosystem solutions," Journal of Organization Design, Springer;Organizational Design Community, vol. 12(4), pages 255-262, December.
    18. Beibei Zhang & Rong Chen, 2018. "Nonlinear Time Series Clustering Based on Kolmogorov-Smirnov 2D Statistic," Journal of Classification, Springer;The Classification Society, vol. 35(3), pages 394-421, October.
    19. Erik Pruyt & Jan H. Kwakkel, 2014. "Radicalization under deep uncertainty: a multi-model exploration of activism, extremism, and terrorism," System Dynamics Review, System Dynamics Society, vol. 30(1-2), pages 1-28, January.
    20. Jan H. Kwakkel & Erik Pruyt, 2015. "Using System Dynamics for Grand Challenges: The ESDMA Approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(3), pages 358-375, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:sysdyn:v:32:y:2016:i:3-4:p:261-278. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0883-7066 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.