MCDA Approaches for Efficient Strategic Decision Making

  • Nikos Tsotsolas
  • Spiros Alexopoulos
Part of the Multiple Criteria Decision Making book series (MCDM)


Strategic decisions are often complex and multifaceted and involve many different stakeholders with different objectives and priorities. Very often decision-makers (DMs), when confronted with such problems, attempt to use intuitive or heuristic approaches to simplify the complexity until the problem seems more manageable. In this process, important information may be lost, opposing points of view may be discarded, and elements of uncertainty may be ignored. A crucial issue, when dealing with strategic decisions, is the radical uncertainty about the present (e.g. lack or poor quality of information) and also about the future. The latter one addresses the seeming paradox—how can we evaluate the rationality of our decisions today if the most important fact that we know about future conditions is that they are unknowable? In the literature it is mentioned that robustness analysis is a way of supporting strategic decision making when dealing with uncertainties and ignorance. In the present chapter we discuss how facilitated forms of MCDA could tackle different aspects associated with strategic decision making and provide effective support in dealing with robustness of strategic decisions in designing complex strategies with long-term consequences. We finally present three case studies where MCDA approaches were used to tackle strategic decision problems.


  1. Abgueguen, R. (1971). La se’lection des supports de presse. Paris: Robert Laffont.Google Scholar
  2. Ackermann, F., & Eden, C. (2001). Contrasting single user and networked group decision support systems for strategy making. Group Decision and Negotiation, 10(1), 47–66.CrossRefGoogle Scholar
  3. Aissi, H., & Roy, B. (2010). Robustness in multi-criteria decision aiding. In M. Ehrgott, J. R. Figueira, & S. Greco (Eds.), Trends in multiple criteria decision analysis, Chap. 4 (pp. 87–121). New York: Springer.CrossRefGoogle Scholar
  4. Alexopoulos, S., Siskos, Y., Tsotsolas, N., & Christodoulakis, N. (2012). Evaluating strategic actions for a Greek publishing company. Operational Research: An International Journal (ORIJ), 12(2), 253–269.CrossRefGoogle Scholar
  5. André, F. J., & Cardenete, M. A. (2008). Economic and environmental efficient policies in an applied general equilibrium framework. Ekonomiaz: revista vasca de economía, Vitoria-Gasteiz: Servicio Central de Publ. del Gobierno Vasco, 67(1), 72–91 (in Spanish).Google Scholar
  6. Bana e Costa, C. A., Costa-Lobo, M. L., Ramos, I. A. J., & Vansnick, J. C. (2002). Multicriteria approach for strategic town planning: The case of Barcelos. In D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinsky, D. Vanderpooten, & P. Vincke (Eds.), Aiding decisions with multiple criteria: Essays in honour of Bernard Roy (pp. 429–456). Dordrecht: Kluwer Academic.CrossRefGoogle Scholar
  7. Bana e Costa, C. A., De Corte, J. M., & Vansnick, J. C. (2005). M-MACBETH version 1.1 user’s guide.Google Scholar
  8. Bana e Costa, C. A., Lourenço, J. C., Oliveira, M. D., et al. (2014). A socio-technical approach for group decision support in public strategic planning: The Pernambuco PPA case. Group Decision and Negotiation, 23, 5. Scholar
  9. Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: An integrated approach. Dordrecht: Kluwer Academic.CrossRefGoogle Scholar
  10. Checkland, P. (1981). Systems thinking, systems practice. Chichester: Wiley.Google Scholar
  11. Christensen, C. M. (1997). The innovator’s dilemma-when new technologies cause great firms to fail. Boston: HBS Press.Google Scholar
  12. Christensen, C. M. (2003). The innovator’s solution-creating and sustaining successful growth. Boston: HBS Press.Google Scholar
  13. Christodoulakis, N. (2015). Analytical methods and decision support systems under uncertainty. PhD Thesis (in Greek), University of Piraeus, Pireaus.Google Scholar
  14. David, F. R. (2009). Strategic management: Concepts and cases (12th ed.). New Jersey: Prentice Hall.Google Scholar
  15. Eden, C. (1990). The unfolding nature of group decision support: Two dimensions of skill. In C. Eden & J. Radford (Eds.), Tackling strategic problems: The role of group decision support (pp. 48–52). London: Sage.Google Scholar
  16. Eden, C., & Ackermann, F. (1998). Making strategy: The journey of strategic management. Beverly Hills: Sage.Google Scholar
  17. Eden, C., & Ackermann, F. (2004). Use of ‘Soft OR’ models by clients: What do they want from them? In M. Pidd (Ed.), Systems modeling: Theory and practice (pp. 146–163). Chichester: Wiley.Google Scholar
  18. European Commission Report on Media Market Definitions. (2003). Last accessed 07.08.2017, from
  19. Fidler, R. (1997). Mediamorphosis: Understanding the new media. Thousand Oaks, CA: Pine Forge Press.Google Scholar
  20. Figueira, J., Greco, S., & Ehrgott, M. (2005). State-of-art of multiple criteria decision analysis. Dortrecht: Kluwer Academic.CrossRefGoogle Scholar
  21. Franco, L. A., & Montibeller, G. (2010). Facilitated modelling in operational research. European Journal of Operational Research, 205, 489–500.CrossRefGoogle Scholar
  22. Franco, L. A., & Rouwette, E. (2011). Decision development in facilitated modelling workshops. European Journal of Operational Research, 212(1), 164–178.CrossRefGoogle Scholar
  23. Friend, J., & Hickling, A. (2005). Planning under pressure: The strategic choice approach (3rd ed.). Oxford: Elsevier.Google Scholar
  24. Goodwin, P., & Wright, G. (2001). Enhancing strategy evaluation in scenario planning: A role for decision analysis. Journal of Management Studies, 38(1), 1–16.CrossRefGoogle Scholar
  25. Haasnoot, M., Kwakkel, J. H., Walker Warren, E., & Maat, J. (2013). Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world. Global Environmental Change, 23(2), 485–498.CrossRefGoogle Scholar
  26. Hites, R., De Smet, Y., Risse, N., Salazar-Neumann, M., & Vincke, P. (2006). About the applicability of MCDA to some robustness problems. European Journal of Operational Research, 174(1), 322–332.CrossRefGoogle Scholar
  27. Howlett, M., Mukherjee, I., & Woo, J. J. (2015). From tools to toolkits in policy design studies: The new design orientation towards policy formulation research. Policy and Politics, 43(2), 291–311.CrossRefGoogle Scholar
  28. Hodgkinson, G. P., Bown, N. J., Maule, A. J., Glaister, K. W., & Pearman, A. D. (1999). Breaking the frame: An analysis of strategic cognition and decision making under uncertainty. Strategic Management Journal, 20, 977–985.CrossRefGoogle Scholar
  29. Hurson, C., & Siskos, Y. (2014). A synergy of multicriteria techniques to assess additive value models. European Journal of Operational Research, 238, 540–551. Scholar
  30. Keeney R. L. (1992). Value-focused thinking: A path to creative decision making, Harvard University Press, London.Google Scholar
  31. Keeney, R. L. (2013). Identifying, prioritizing, and using multiple objectives. EURO Journal on Decision Processes, 1(1–2), 45–67.CrossRefGoogle Scholar
  32. Keisler, J. M. (2002). Attribute-based differentiation of alternatives. Journal of Multi-Criteria Decision Analysis, 11, 315–326.CrossRefGoogle Scholar
  33. Kouvelis, P., & Yu, G. (1997). Robust discrete optimisation and its applications. Netherlands: Kluwer Academic.CrossRefGoogle Scholar
  34. Lagrèze, E. J., & Siskos, Y. (2001). Preference disaggregation: 20 years of MCDA experience. European Journal of Operational Research, 130, 233–245.CrossRefGoogle Scholar
  35. Lasswell, H. D. (1956). The decision process: Seven categories of functional analysis. College Park: University of Maryland Press.Google Scholar
  36. Lempert, R. J., & Collins, M. T. (2007). Managing the risk of uncertain threshold responses: Comparison of robust, optimum, and precautionary approaches. Risk Analysis-An official publication of the Society for Risk Analysis, 27(4), 1009–1026.CrossRefGoogle Scholar
  37. Luptacik, M. (2010). Mathematical optimization and economic analysis. New York: Springer.CrossRefGoogle Scholar
  38. Maystre, L., Pictet, L., & Simos, J. (1994). Me’thodes Multicrite`res ELECTRE. Lausanne: Presses Polytechniques et Universitaires Romandes.Google Scholar
  39. Mónica, G., & Barberis, F. (2006). Robustness analysis: A powerful tool in the multiple criteria decision making field. Newsletter of the European Working Group “Multiple Criteria Decision Aiding”, Series 3, No. 13, pp 9–13.Google Scholar
  40. Montibeller, G., & Franco, A. (2010). Multi-criteria decision analysis for strategic decision making. In C. Zopounidis & P. M. Pardalos (Eds.), Handbook of multicriteria analysis (pp. 25–48). New York: Springer.CrossRefGoogle Scholar
  41. Montibeller, G., & Franco, A. (2011). Raising the bar: Strategic multi-criteria decision analysis. Journal of the Operational Research Society, 62, 855–867.CrossRefGoogle Scholar
  42. Montibeller, G., Gummer, H., & Tumidei, D. (2006). Combining scenario planning and multi-criteria decision analysis in practice. Journal of Multicriteria Decision Analysis, 14(1), 5–20.CrossRefGoogle Scholar
  43. Phillips, L. (2007). Decision conferencing. In W. Edwards, R. Miles Jr., & D. von Winterfeldt (Eds.), Advances in decision analysis: From foundations to applications (pp. 375–399). New York: Cambridge University Press.CrossRefGoogle Scholar
  44. Phillips, L. D., & Bana e Costa, C. A. (2007). Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing. Annals of Operations Research, 154(1), 51–68. Scholar
  45. Richard, J.-L. (1981). Aide à la Décision Stratégique en PME. In E. Jacquet-Lagrèze & J. Siskos (Eds.), Méthode de Décision Multicritère (pp. 119–142). Paris: Hommes et Techniques.Google Scholar
  46. Ritchey, T. (2011). Wicked problems – Social messes: Decision support modelling with morphological analysis. Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
  47. Rosenhead, J. (2002). Robustness analysis. Newsletter of the European Working Group “Multiple Criteria Decision Aiding”, Series 3, No. 6, pp. 6–10.Google Scholar
  48. Rosenhead, J., Elton, M., & Gupta, S. K. (1972). Robustness and optimality as criteria for strategic decisions. Operational Research Quarterly, 23(4), 413–430.CrossRefGoogle Scholar
  49. Rosenhead, J., & Mingers, J. (2001). A new paradigm of analysis. In J. Rosenhead & J. Mingers (Eds.), Rational analysis for a problematic world revisited: Problem structuring methods for complexity, uncertainty, and conflict (pp. 1–19). Chichester: Wiley.Google Scholar
  50. Roy, B. (1985). Méthodologie Multicritère d’Aide à la Décision. Economica, Paris (in French).Google Scholar
  51. Roy, B. (2005). Paradigms and challenges. In J. R. Figueira, J. S. Greco, & S. Ehrgott (Eds.), Multiple criteria decision analysis – State of the art surveys (pp. 3–24). New York: Springer.CrossRefGoogle Scholar
  52. Roy, B. (2010). Robustness in operational research and decision aiding: A multi-faceted issue. European Journal of Operational Research, 200, 629–638.CrossRefGoogle Scholar
  53. Roy, B., & Bouyssou, D. (1993). Aide multicritère à la décision: Méthodes et cas. Economica, Paris (in French).Google Scholar
  54. Roy, B., & Słowiński, R. (2013). Questions guiding the choice of a multicriteria decision aiding method. EURO Journal on Decision Processes, 1(1–2), 69–97.CrossRefGoogle Scholar
  55. Salo, A., & Hamalainen, R. P. (2010). Multicriteria decision analysis in group decision processes. In D. M. Kilgour & C. Eden (Eds.), Handbook of group decision and negotiation (pp. 1–23). Dordrecht: Springer.Google Scholar
  56. Siskos, Y. (2008). Decision models. New Technologies Publications, Athens (in Greek).Google Scholar
  57. Siskos, Y., & Grigoroudis, E. (2010). New trends in aggregation-disaggregation approaches. In C. Zopounidis & P. M. Pardalos (Eds.), Handbook of multicriteria analysis (pp. 189–214). New York: Springer.CrossRefGoogle Scholar
  58. Siskos, Y., Grigoroudis, E., & Matsatsinis, N. (2005). UTA methods. In J. R. Figueira, J. S. Greco, & S. Ehrgott (Eds.), Multiple criteria decision analysis – State of the art surveys (pp. 297–343). New York: Springer.CrossRefGoogle Scholar
  59. Sorensen, K. A., Mortelmans, J., Baby, V., & Opstrup, N. (2007). The content ecosystem—A framework for analysis. Scandinavian International Management Institute (SIMI).Google Scholar
  60. Tsotsolas, N., & Alexopoulos, S. (2017). Towards a holistic strategic framework for applying robust facilitated approaches in political decision making. Operational Research.
  61. Tsoukias, A., Montibeller, G., Lucertini, G., & Belton, V. (2013). Policy analytics: An agenda for research and practice. EURO Journal on Decision Processes, 1(1–2), 115–134.CrossRefGoogle Scholar
  62. Velasquez, M., & Hester, P. T. (2013). An analysis of multi-criteria decision making methods. International Journal of Operations Research, 10(2), 56–66.Google Scholar
  63. Vincke, P. (2003). About robustness analysis. Newsletter of the European Working Group “Multiple Criteria Decision Aiding”, Series 3, No. 8, pp. 7–9.Google Scholar
  64. Williams, T. (2008). Management science in practice. Chichester: Wiley.Google Scholar
  65. Zopounidis, C., & Pardalos, P. M. (2010). Handbook of multicriteria analysis. New York: Springer.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Nikos Tsotsolas
    • 1
  • Spiros Alexopoulos
    • 1
  1. 1.Management Informatics & Quantitative Methods LaboratoryUniversity of Western AtticaAigaleoGreece

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