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Social Choice and Multicriterion Decision-Making: Decision Modeling Career of Students in Secondary Education Using Multicriteria Analysis

  • Ioannis Dimitrakopoulos
  • Kostas KaramanisEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

The aim of this paper is to offer an applicable evaluation framework relating to the right choice of one’s profession via his/her studies. The first part of the paper consists of the basic principles of multicriteria decision-making. To begin with, the paper initially focuses on the MACBETH method. This helps to provide a perspective for procedural types of decisions in which various qualitative and quantitative aspects are incorporated. In the second part of the paper, the abovementioned multicriteria method is applied to a “real-world” case concerning a specific case of a student, Eva. For this specific study, it is concluded that the factors of greatest importance that lead to choosing the university Eva finally chose were four: the cost of undergraduate studies, the reputation-status of the university, its logistics and infrastructure, and its interconnections with other universities and other academic institutions.

Keywords

Social science Personnel management IT management Multicriteria decision-making MACBETH method Career 

Notes

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This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).

References

  1. Anwar, A., Bwisa, H., Otieno, R., & Karanja, K. (2014). Strategic decision making: Process, models, and theories. Business Management and Strategy, 5(1), 78–104.  https://doi.org/10.5296/bms.v5i1.5267.CrossRefGoogle Scholar
  2. Bana e Costa, C. A., & Vansnick, J. C. (1994). MACBETH: Αn interactive path towards the construction of cardinal value functions. International Transactions in Operations Research, 1(4), 488–500.  https://doi.org/10.1111/j.1475-3995.1994.00325.x.CrossRefGoogle Scholar
  3. Bana e Costa, C. A., & Vansnick, J. C. (1999). The MACBETH approach: Basic ideas, software, and an application. In N. Meskens & M. Roubens (Eds.), Advances in decision analysis (pp. 135–152). Dordrecht: Springer.  https://doi.org/10.1007/978-94-017-0647-6_9.CrossRefGoogle Scholar
  4. Bana e Costa, C. A., De Corte, J. M., & Vansnick, J. C. (2005). On the mathematical foundations of MACBETH. In J. Figueira, S. Greco, & M. Ehrgott (Eds.), Multiple criteria decision analysis: The state of the art surveys (pp. 409–442). New York: Springer.  https://doi.org/10.1007/0-387-23081-5_10.CrossRefGoogle Scholar
  5. Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: An integrated approach. Dordrecht: Kluwer Academic.  https://doi.org/10.1007/978-1-4615-1495-4.CrossRefGoogle Scholar
  6. Bouyssou, D., Marchant, T., Pirlot, M., Perny, P., Tsoukiàs, A., & Vincke, P. (2000). Evaluation and decision model. A critical perspective. Dordrecht: Kluwer Academic.  https://doi.org/10.1007/978-1-4615-1593-7.CrossRefGoogle Scholar
  7. Crites, J., & Savickas, M. (1995). Career maturity inventory. California: McGraw-Hill.Google Scholar
  8. David, F. R. (2009). Strategic management: Concepts and cases. Upper Saddle River, NJ: Prentice Hall.Google Scholar
  9. De Lima, A., & Damiani, J. H. (2009). Proposed method for modeling research and development (R&D) project prioritization criteria. PICMENT 2009 Proceedings, August 2–6, Portland, OR.Google Scholar
  10. Enns, H., & McFarlin, D. (2003). When executives influence peers: Does function matter? Human Resource Management, 42(2), 125–142.  https://doi.org/10.1002/hrm.10072.CrossRefGoogle Scholar
  11. Fernandez-Huerga, E. (2008). The economic behavior of human beings: The institutional/post-Keynesian model. Journal of Economics Issues, 42(3), 709–726.  https://doi.org/10.1080/00213624.2008.11507175.CrossRefGoogle Scholar
  12. Figueira, J., & Roy, B. (2002). Determining the weights of criteria in the ELECTRE type methods with a revised Simos procedure. European Journal of Operational Research, 139, 317–326.  https://doi.org/10.1016/S0377-2217(01)00370-8.CrossRefGoogle Scholar
  13. Franco, L. A., & Montibeller, G. (2010). Facilitated modelling in operational research. European Journal of Operational Research, 205(3), 489–500.  https://doi.org/10.1016/j.ejor.2009.09.030.CrossRefGoogle Scholar
  14. Franco, L. A., & Rouwette, E. A. J. A. (2011). Decision development in facilitated modelling workshops. European Journal of Operational Research, 212(1), 164–178.  https://doi.org/10.1016/j.ejor.2011.01.039.CrossRefGoogle Scholar
  15. Gati, I. (1986). Making career decisions: A sequential elimination approach. Journal of Counseling Psychology, 33, 408–417.  https://doi.org/10.1037/0022-0167.33.4.408.CrossRefGoogle Scholar
  16. Gelatt, H. (1962). Decision making: A conceptual frame of reference for counseling. Journal of Counseling Psychology, 9, 240–245.  https://doi.org/10.1037/h0046720.CrossRefGoogle Scholar
  17. Goldstein, W. M., & Hogarth, R. M. (1997). Judgment and decision research: Some historical context. In W. M. Goldstein & R. M. Hogarth (Eds.), Research on judgment and decision making: Currents, connections, and controversies (pp. 3–65). Cambridge: Cambridge University Press.Google Scholar
  18. Harren, V. (1979). A model for career decision making for college students. Journal of Vocational Behavior, 14, 119–133.  https://doi.org/10.1016/0001-8791(79)90065-4.CrossRefGoogle Scholar
  19. Hilton, T. (1962). Career decision making. Journal of Counseling Psychology, 9(4), 291–298.  https://doi.org/10.1037/h0048309.CrossRefGoogle Scholar
  20. Hokkanen, J., & Salminen, P. (1997). Choosing a solid waste management system using multicriteria decision analysis. European Journal of Operational Research, 98(1), 19–36.  https://doi.org/10.1016/0377-2217(95)00325-8.CrossRefGoogle Scholar
  21. Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making (pp. 58–191). Berlin: Springer.  https://doi.org/10.1007/978-3-642-48318-9.CrossRefGoogle Scholar
  22. Kaldor, D., & Zytowsky, D. (1969). A maximizing model of occupational decision making. Personnel and Guidance Journal, 47, 781–788.  https://doi.org/10.1002/j.2164-4918.1969.tb03006.x.CrossRefGoogle Scholar
  23. Karamanis, K., & Hyz, A. (2016). How flexible working influence unemployment? Evidence from Greek labour market. In P. E. Petrakis (Ed.), A new growth model for the Greek economy: Requirements for long-term sustainability (pp. 235–249). Basingstoke: Palgrave/Macmillan.CrossRefGoogle Scholar
  24. Katz, M. (1963). Decisions and values. A rationale for secondary school guidance. New York: College Entrance Examination Board.Google Scholar
  25. La Scalia, G., Marra, F. P., Rühl, J., Sciortino, R., & Caruso, T. (2016). A fuzzy multi-criteria decision-making methodology to optimise olive agro-engineering processes based on geo-spatial technologies. International Journal of Management and Decision Making, 15(1), 1–15.Google Scholar
  26. Lahdelma, P. S., & Hokkanen, J. (2002). Locating a waste treatment facility by using stochastic multicriteria acceptability analysis with ordinal criteria. European Journal of Operational Research, 142, 345–356.  https://doi.org/10.1016/S0377-2217(01)00303-4.CrossRefGoogle Scholar
  27. Leong, S., Leong, F., & Hoffman, M. (1987). Counseling expectations of rational, intuitive, and dependent decision makers. Journal of Counseling Psychology, 34(3), 260–265.  https://doi.org/10.1037/0022-0167.34.3.261.CrossRefGoogle Scholar
  28. Li, S., & Davies, B. J. (2001). Key issues in using information systems for strategic marketing decisions. International Journal of Management and Decision Making, 2(1), 16–34.  https://doi.org/10.1504/IJMDM.2001.001219.CrossRefGoogle Scholar
  29. Manski, C. F. (1980). An empirical analysis of household choice among motor vehicles. Transportation Research Part A: General, 14(1–2), 349–366.  https://doi.org/10.1016/0191-2607(80)90054-0.CrossRefGoogle Scholar
  30. Manski, C. F. (2004). Measuring expectations. Econometrica, 72(5), 1329–1376.  https://doi.org/10.1111/j.1468-0262.2004.00537.x.CrossRefGoogle Scholar
  31. Mcfadden, D. (1981). Econometric models for probabilistic choice among products. The Journal of Business, 53(3), S13–S29.Google Scholar
  32. Montibeller, G., & Franco, L. A. (2011). Raising the bar: Strategic multi-criteria decision analysis. Journal of the Operational Research Society, 62(5), 855–867.  https://doi.org/10.1057/jors.2009.178.CrossRefGoogle Scholar
  33. Mousiolis, D., Zaridis, A., Karamanis, K., & Rontogianni, A. (2015). Corporate social responsibility in SMEs and MNEs. The different strategic decision making. Procedia-Social and Behavioral Sciences, 175, 579–583.  https://doi.org/10.1016/j.sbspro.2015.01.1240.CrossRefGoogle Scholar
  34. Nijkamp, P., Torrieri, F., & Vreeker, R. (2002). A decision support system for assessing alternative projects for the design of a new road network: Methodology and application of a case study. International Journal of Management and Decision Making, 3(2), 114–138.  https://doi.org/10.1504/IJMDM.2002.002468.CrossRefGoogle Scholar
  35. Nikolopoulos, A. (2003). Assessing subjective influences on managerial decisions. International Journal of Management and Decision Making, 3(3/4), 337–352.  https://doi.org/10.1504/IJMDM.2002.002482.CrossRefGoogle Scholar
  36. Phillips, T. L., Peppers, R. A., & DeMichele, D. W. (1985). Stratigraphic and interregional changes in Pennsylvania coal-swamp vegetation: Environmental influences. International Journal of Goal Geology, 5, 43–109.  https://doi.org/10.1016/0166-5162(85)90010-2.CrossRefGoogle Scholar
  37. Richard, J. L. (1981). Aid to the strategic decision in SMES. In E. Jacquet-Lagrèze & J. Siskos (Eds.), Method of multicriteria decision (pp. 119–142). Paris: Men and Techniques.Google Scholar
  38. Rocha, H., & Ghoshal, S. (2006). Beyond self-interest revisited. Journal of Management Studies, 43(3), 585–619.  https://doi.org/10.1111/j.1467-6486.2006.00603.x.CrossRefGoogle Scholar
  39. Rosenhead, J. (1996). What’s the problem? An introduction to structuring to methods. Interfaces, 26(6), 117–131.  https://doi.org/10.1287/inte.26.6.117.CrossRefGoogle Scholar
  40. Roy, B. (1985). Multicriteria methodology: To aid in the decision. Paris: Economica.Google Scholar
  41. Roy, B., & Bouyssou, D. (1993). Multicriteria support to the decision: Methods and case. Paris: Economica.Google Scholar
  42. Sahinidis, A., Vassiliou, E., & Hyz, A. (2014). Factors affecting entrepreneurs’ intention to start a new venture: An empirical study. International Journal on Strategic Innovative Marketing, 1, 148–162.Google Scholar
  43. Siskos, Y., & Spyridakos, A. (1999). Intelligent multicriteria decision support: Overview and perspectives. European Journal of Operational Research, 113, 236–246.  https://doi.org/10.1016/S0377-2217(98)00213-6.CrossRefGoogle Scholar
  44. Siskos, Y., Grigoroudis, E., & Matsatsinis, N. F. (2005). UTA methods, in multiple criteria decision analysis: State of the art surveys. In J. Figuera, S. Greco, & M. Ehrgott (Eds.), International series in operations research management science (pp. 297–343). New York: Springer.Google Scholar
  45. Super, D., Savickas, M., & Super, C. (1996). The life-span, life-space approach to careers. In D. Brown, L. Brooks, & Associates (Eds.), Career choice & development (3rd ed., pp. 121–178). San Francisco: Jossey Bass.Google Scholar
  46. Tiedeman, D., & O’Hara, R. (1963). Career development, choice and adjustment. New York: College Entrance Examination Board.Google Scholar
  47. Vroom, V. (1964). Work and motivation. New York: Wiley.Google Scholar
  48. Yip, J. A., & Côté, S. (2013). The emotionally intelligent decision maker: Emotion—understanding ability reduces the effect of incidental anxiety on risk taking. Psychological Science, 24, 48–55.  https://doi.org/10.1177/0956797612450031.CrossRefGoogle Scholar
  49. Zeelenberg, M., Van Dijk, W. W., Van der Pligt, J., Manstead, A. S. R., Van Empelen, P., & Reinderman, D. (1998). Emotional reactions to the outcomes of decisions: The role of counterfactual thought in the experience of regret and disappointment. Organizational Behavior and Human Decision Processes, 75, 117–141.  https://doi.org/10.1006/obhd.1998.2784.CrossRefGoogle Scholar
  50. Zeelenberg, M., Nelissen, R. M. A., Breugelmans, S. M., & Pieters, R. (2008). On emotion specificity in decision making: Why feeling is for doing. Judgment and Decision Making, 3, 18–27.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Technological Educational Institute of EpirusPrevezaGreece

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