Abstract
A major problem for researchers, analysts, forecasters and, indeed, investors is to identify how, when, and where new events and trends will play out. In essence most problems have multiple numbers of variables, and where each variable has a number of conditions or dimensions. So, how can we address the outcomes of futures governed by such complexity? This chapter introduces the notion that problems come in various shapes and sizes which can be best addressed via a set of techniques known as Problem Structuring Methods (PSMs). Once the problem characteristic has been identified (is it a puzzle, a causal problem, or a wicked problem?), then the problem can be positioned within the Uncertainty matrix so the most appropriate PSM can be applied. This positioning also allows the analyst to explore issues such as decision stakes and systems uncertainties. The chapter ends by introducing Rosenhead’s Robustness Analysis method as an appropriate MTT for addressing the early stages of problem identification.
“Earlier, I didn’t understand why I got no answer to my question, today I don’t understand how I presumed to ask a question. But then I didn’t presume, I only asked” Franz Kafka—the Zurau Aphorisms.
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References
Ackoff, R. (1961). Progress in operations research. Wiley.
Ackoff, R. L. (1974). Redesigning the future. Wiley-Interscience.
Beer, S. (1984). The viable system model: Its provenance, development, methodology and pathology. Journal of the Operational Research Society, 35, 7–26.
Conklin, J. (2006). Dialogue mapping: Building shared understanding of wicked problems. Wiley.
Connell, N. (2001). Evaluating soft OR: Some reflections on an apparently “unsuccessful” implementation using Soft Systems Methodology (SSM).
Funtowicz, S. O., & Ravetz, J. R. (May 1994). Uncertainty, complexity and post-normal science. In The annual review of environmental toxicology and chemistry, Vol 13, No 12. Pergamon.
Garvey, B. (October 2016). Combining qualitative and qualitative aspects of problem structuring in computational morphological analysis. PhD thesis. Dyson School of Design Engineering, Imperial College London.
Garvey, B., & Childs, P. R. N. (2013). Applying problem structuring methods to the design process for safety helmets. Proceedings of the 1st International Conference on Helmet Performance and Design, London, February 15, 2013.
Grint, K. (1997). Fuzzy management: Contemporary ideas and practices at work. Oxford University Press.
Kuhn, T. (1962). The structure of scientific revolutions. University of Chicago Press.
Kunz, W., & Rittel, H. (1970). Issues as elements of information systems. Working Paper No. 131, Heidelberg-Berkeley.
Levin, K., Cashore, B., Auld, G., & Bernstein, S. (2012). Introduced the distinction between “wicked problems” and “super wicked problems” in a 2007 conference paper, followed by a 2012 journal article in Policy Sciences. Problems.
Marchau, A., Walker, W., Bloeman, & Popper, S. (Eds.). (2019). Decision making under deep uncertainty, Chapters 2, 7. Springer.
Marsh, D. (2011). A robust approach to military research programme planning. Smith System Engineering Ltd.
Nelson, R. R. (1974). Intellectualizing about the Moon-Ghetto Metaphor. Policy Sciences, 5, 375–414. Elsevier Scientific Publishing, Amsterdam.
Ormerod, R. (2001). Viewpoint: The success and failure of methodologies – A comment on Connell (2001): Evaluating soft OR. The Journal of Operational Research Society, Palgrave, October 2001.
Pidd, M. (1996). Tools for thinking (p. 40). Wiley.
Popper, K. (1959). The logic of scientific discovery. Springer and Hutchinson.
Ritchey, T. (2002). Modelling complex socio-technical systems using morphological analysis. Adapted from address to the Swedish Parliamentary IT Commission, Stockholm, December 2002.
Ritchey, T. (2006). Problem structuring using computer-aided morphological analysis. Published by Journal of the Operational Research Society, 57.
Rittel, H., & Webber, M. (1973). Dilemmas in a general theory of planning. Policy Sciences, Vol. 4, pp 155–169. Elsevier Scientific Publishing Company: Amsterdam.
Rosenhead, J., & Mingers, J. (2001). A new paradigm of analysis in rational analysis for a problematic world revisited (2nd ed.). Wiley.
Simon, A. H. (1977). The new science of management decision. Prentice-Hall.
Treverton, G. (2010). Addressing complexities in homeland security. In L. K. Johnson (Ed.), The Oxford handbook of national security intelligence. Oxford University Press.
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Garvey, B. (2022). Problem Status. In: Uncertainty Deconstructed. Science, Technology and Innovation Studies. Springer, Cham. https://doi.org/10.1007/978-3-031-08007-4_3
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DOI: https://doi.org/10.1007/978-3-031-08007-4_3
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