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Introduction

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System Dynamics

Part of the book series: OR Essentials ((ORESS))

Abstract

First, this chapter presents the differences between soft and hard perspectives in operational research (OR). Then it describes the positions in the system dynamics (SD) field related to the soft and hard perspectives on the use of SD. The conclusion of the evaluation is that there are important tools and methods in SD that can easily be accommodated in the soft OR paradigm as a problem structuring method. Simultaneously, SD quantitative modelling shares many commonalities—such as data-driven testing, extensive numerical analysis and focus on outputs—with hard OR tools that can easily be adopted as a critical component on any hard OR course. To evaluate the positioning of SD researchers in the field, I analysed the papers published in Journal of the Operational Research Society from 1978 to 2016 and selected some to be part of this edited volume. Therefore the onus of the positioning resides in the SD user, but there are two important suggestions. First, the SD user needs to be grounded in relevant literature from the perspective employed, such as group model building literature if qualitative SD is employed. Second, there has to be a critical reflection on how the same problem can be addressed using the other perspective, such as a quantitative model offering policy advice based on numeric results needs to explain the impact of the policy using qualitative SD (causal loop diagram).

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References

  • Andersen, D.F., Vennix, J.A., Richardson, G.P. and Rouwette, E.A., 2007. Group model building: Problem structing, policy simulation and decision support. Journal of the Operational Research Society, 58, 691–694.

    Article  Google Scholar 

  • Akkermans, H.A. and Van Oorschot, K.E., 2005. Relevance assumed: A case study of balanced scorecard development using system dynamics. Journal of the Operational Research Society, 56(8), 931–941.

    Article  Google Scholar 

  • Checkland, P., 1985. Achieving ‘desirable and feasible’ change: An application of soft systems methodology. Journal of the Operational Research Society, 36(9), 821–831.

    Google Scholar 

  • Coyle, R.G., 1999. Simulation by repeated optimisation. Journal of the Operational Research Society, 50(4), 429–438.

    Article  Google Scholar 

  • Coyle, G., 2000. Qualitative and quantitative modelling in system dynamics: Some research questions. System Dynamics Review, 16(3), 225.

    Article  Google Scholar 

  • Daellenbach, H.G., McNickle, D.C. and Dye, S., 2012. Management Science. Decision Making Through Systems Thinking, 2nd edition.

    Google Scholar 

  • Dangerfield, B. and Roberts, C., 1996. An overview of strategy and tactics in system dynamics optimization. Journal of the Operational Research Society, 47(3), 405–423.

    Article  Google Scholar 

  • Evenden, D., Harper, P.R., Brailsford, S.C. and Harindra, V., 2006. Improving the cost-effectiveness of chlamydia screening with targeted screening strategies. Journal of the Operational Research Society, 57(12), 1400–1412.

    Article  Google Scholar 

  • Eden, C. and Ackermann, F., 2006. Where next for problem structuring methods. The Journal of the Operational Research Society, 57(7), 766–768.

    Article  Google Scholar 

  • Forrester, J.W., 1961. Industrial Dynamics. Cambridge: MIT Press.

    Google Scholar 

  • Forrester, J.W., 1994. System dynamics, systems thinking, and soft OR. System Dynamics Review, 10(2–3), 245–256.

    Article  Google Scholar 

  • Forrester, J.W., 1987. Lessons from system dynamics modeling. System Dynamics Review, 3(2), 136–149.

    Article  Google Scholar 

  • Homer, J. and Oliva, R., 2001. Maps and models in system dynamics: A response to Coyle. System Dynamics Review, 17(4), 347–355.

    Article  Google Scholar 

  • Howick, S. and Whalley, J., 2008. Understanding the drivers of broadband adoption: The case of rural and remote Scotland. Journal of the Operational Research Society, 59(10), 1299–1311.

    Article  Google Scholar 

  • Kunc, M. and Kazakov, R., 2013. Competitive dynamics in pharmaceutical markets: A case study in the chronic cardiac disease market. Journal of the Operational Research Society, 64(12), 1790–1799.

    Article  Google Scholar 

  • Kunc, M.H. and Morecroft, J.D., 2009. Resource-based strategies and problem structuring: Using resource maps to manage resource systems. Journal of the Operational Research Society, 60(2), 191–199.

    Article  Google Scholar 

  • Lane, D.C., 1994. With a little help from our friends: How system dynamics and soft OR can learn from each other. System Dynamics Review, 10(2–3), 101–134.

    Article  Google Scholar 

  • Lane, D.C., 2000. Should system dynamics be described as a ‘hard’ or ‘deterministic’ systems approach?. Systems Research and Behavioral Science, 17(1), 3–22.

    Article  Google Scholar 

  • Lane, D.C. and Husemann, E., 2008. System dynamics mapping of acute patient flows. Journal of the Operational Research Society, 59(2), 213–224.

    Article  Google Scholar 

  • Lane, D.C. and Oliva, R., 1998. The greater whole: Towards a synthesis of system dynamics and soft systems methodology. European Journal of Operational Research, 107(1), 214–235.

    Article  Google Scholar 

  • Larsen, E.R. and Lomi, A., 1999. Resetting the clock: A feedback approach to trie dynamics of organisational inertia, survival and change. Journal of the Operational Research Society, 50(4), 406–421.

    Article  Google Scholar 

  • Morecroft, J.D., 1985. Rationality in the analysis of behavioral simulation models. Management Science, 31(7), 900–916.

    Article  Google Scholar 

  • Morecroft, J.D., 2015. Strategic Modelling and Business Dynamics: A Feedback Systems Approach. John Wiley & Sons.

    Google Scholar 

  • Morecroft, J.D.W., 1995. Management attitudes, learning and scale in successful diversification: A dynamic and behavioural resource system view. Journal of the Operational Research Society, 50(4), 315–336.

    Article  Google Scholar 

  • Morecroft, J.D.W., 2002. Resource management under dynamic complexity. Chapter 2 in Systems Perspectives on Resources, Capabilities and Management Processes (editors Morecroft, Sanchez and Heene), Advanced Series in Management.

    Google Scholar 

  • Olaya, Y.R.I.S. and Dyner, I.S.A.A.C., 2005. Modelling for policy assessment in the natural gas industry. Journal of the Operational Research Society, 56(10), 1122–1131.

    Article  Google Scholar 

  • Paich, M., Peck, C. and Valant, J.J., 2004. Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning. CRC Press.

    Google Scholar 

  • Paucar-Caceres, A., 2011. The development of management sciences/operational research discourses: Surveying the trends in the US and the UK. Journal of the Operational Research Society, 62(8), 1452–1470.

    Article  Google Scholar 

  • Rahmandad, H., Oliva, R., Osgood, N.D. and Richardson, G., 2015. Analytical Methods for Dynamic Modelers. MIT Press.

    Google Scholar 

  • Rouwette E.A.J.A., 2011. Facilitated modelling in strategy development: Measuring the impact on communication, consensus and commitment. Journal of the Operational Research Society 62(5): 879–887.

    Article  Google Scholar 

  • Scott, R.J., Cavana, R.Y. and Cameron, D., 2015. Interpersonal success factors for strategy implementation: A case study using group model building. Journal of the Operational Research Society, 66(6), 1023–1034.

    Article  Google Scholar 

  • Sterman, J.D., 1989. Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321–339.

    Article  Google Scholar 

  • Sterman, J.D. and Wittenberg, J., 1999. Path dependence, competition, and succession in the dynamics of scientific revolution. Organization Science, 10(3), 322–341.

    Article  Google Scholar 

  • Syntetos, A.A., Georgantzas, N.C., Boylan, J.E. and Dangerfield, B.C., 2011. Judgement and supply chain dynamics. Journal of the Operational Research Society, 62(6), 1138–1158.

    Article  Google Scholar 

  • Tako, A.A. and Robinson, S., 2009. Comparing discrete-event simulation and system dynamics: Users’ perceptions. Journal of the Operational Research Society, 60(3), 296–312.

    Article  Google Scholar 

  • Vennix, J.A.M. and Rouwette E.A.J.A., 2000. Group model building. What does the client think of it now? Proceedings of 2000 International System Dynamics Conference. System Dynamics Society, Chestnut Hill.

    Google Scholar 

  • Wolstenholme, E.F., 1999. Qualitative vs quantitative modelling: The evolving balance. Journal of the Operational Research Society, 50(4), 422–428.

    Article  Google Scholar 

  • Warren, K., 2002. Competitive Strategy Dynamics. Chichester: Wiley.

    Google Scholar 

  • Xing, Y. and Dangerfield, B., 2011. Modelling the sustainability of mass tourism in island tourist economies. Journal of the Operational Research Society, 62(9), 1742–1752.

    Article  Google Scholar 

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Kunc, M. (2018). Introduction. In: Kunc, M. (eds) System Dynamics. OR Essentials. Palgrave Macmillan, London. https://doi.org/10.1057/978-1-349-95257-1_1

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