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Personnel selection in complex organizations: A case of Mexican football team for the 2018 World Cup in Russia
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Abstract
Selection of personnel in organizations is usually a difficult task. The process gets even more complicated when the selection takes place in complex organizations where different areas can work towards multiple objectives. As many areas might be involved in the selection, the process can become complex and hard to manage. Therefore, it is desirable to use decision-making tools to make the process easier. In this article, we propose new methodology for personnel selection based on Multi-criteria Decision Analysis and the integration of qualitative and quantitative data. We demonstrate the selection process on the case of the Mexican football team selection for the 2018 World Cup in Russia. For the purpose of the article, experts’ opinions are used to evaluate the crucial parameters for the selection.
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Ahmed, F., Deb, K. and Jindal, A. (2013). Multi-objective optimization and decision making approaches to cricket team selection. Applied Soft Computing, 13(1), 402-414. doi: 10.1016/j.asoc.2012.07.031
Andrade Rosas, L.A. and Flegl, M. (2019). Quantitative and qualitative impact of GDP on sport performance and its relation with corruption and other social factors. Nóesis. Revista de Ciencias Sociales y Humanidades, 28(55), 15-37. doi: 10.20983/noesis.2019.1.2
Barros, C. P. and Leach, S. (2006). Performance evaluation of the English Premier Football League with data envelopment analysis. Applied Economics, 38(12), 1449-1458. doi: 10.1080/00036840500396574
Bhattacharjee, D. and Saikia, H. (2016). An objective approach of balanced cricket team selection using binary integer programming method. OPSEARCH, 53(2), 225-247. doi: 10.1007/s12597-015-0228-3
Boon, B.H. and Sierksma, G. (2003). Team formation: Matching quality supply and quality demand. European Journal of Operational Research, 148(2), 277-292. doi: 10.1016/S0377-2217(02)00684-7
Boran, F., Genc, S., Kurt, M. and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert systems with applications, 36(8), 11363-11368. doi: 10.1016/j.eswa.2009.03.039
Boscá, J. E., Liern, V., Martínez, A. and Sala, R. (2009). Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football. Omega, 37(1), 63-78. doi: 10.1016/j.omega.2006.08.002
Carmichael, F., Thomas, D. and Ward, R. (2000). Team performance: the case of English premiership football. Managerial and Decision Economics, 21(1), 31-45. doi: 10.1002/1099-1468(200001/02)21:1<31::AID-MDE963>3.3.CO;2-H
Chen, L. and Cheng, C. (2005). Selecting IS personnel use fuzzy GDSS based on metric distance method. European Journal of Operational Research, 160(3), 803–820. doi: 10.1016/j.ejor.2003.07.003
Coase, R. (1937). The Nature of the Firm: Influence. Journal of Law, Economics, & Organization, 4(1), 33-47.
Cohen, M.D. and March, J.G. (1974). Leadership and Ambiguity: The American College President. New York, McGraw–Hill, Carnegie Commission on the Future of Higher Education.
Cyert, R.M. and March, J. (1963). Behavioral Theory of the Firm, Englewood Cliffs, Prentice–Hall.
Dadelo, S., Turskis, Z., Kazimieras Zavadskas, E. and Dadeliene, R. (2014). Multi-criteria assessment and ranking system of sport team formation based on objective-measured values of criteria set. Expert Systems with Applications, 41(14), 6106-6113. doi: 10.1016/j.eswa.2014.03.036
Dursun. M. and Karsak, E. (2010). A fuzzy MCDM approach for personnel selection, Expert Systems with Applications, 37(6): 4324-4330. doi: 10.1016/j.eswa.2009.11.067
FIFA (2013). Contribution pool for FIFA World Cup participants up by 37 per cent. Fédération Internationale de Football Association (FIFA). [cited 2014 March 10] Available from: http://www.fifa.com/worldcup/media/newsid=2239443/
FIFA (2017). 2018 FIFA World Cup Russia: Regulations, Fédération Internationale de Football Association (FIFA).
Flégl, M. (2014). Performance Analysis During the 2014 FIFA World Cup Qualification. The Open Sports Sciences Journal, 7, 183-197. doi: 10.2174/1875399X01407010183
García-Sánchez, I.M. (2007). Efficiency and effectiveness of Spanish football teams: a three-stage-DEA approach. Central European Journal of Operations Research, 15(1), 21-45. doi: 10.1007/s10100-006-0017-4
Giske, R., Benestad, B., Haraldstad, K. and Høigaard, R. (2013). Decision-making styles among Norwegian soccer coaches: An analysis of decision-making style in relation to elite and non-elite coaching and level of playing history. International Journal of Sports Science and Coaching, 8(4), 689-701. doi: 10.1260/1747-9541.8.4.689
Glassman, R.B. (1973). Persistence and loose coupling in living systems, Behavioral Science, 18(2), 83-98. doi: 10.1002/bs.3830180202
Harren, V.A. (1979). A Model of Career Decision Making for College Students. Journal of Vocational Behavior, 14(2), 119-133. doi: 10.1016/0001-8791(79)90065-4
Huang, H.-C., Lin, C.-T. and Hu, C.-S. (2015). Analysis of Selection Indicators of Badminton Players by the Delphi Method and Analytic Hierarchy Process. International Journal of Computer Science & Information Technology, 7(1), 19-31. doi: 10.5121/ijcsit.2015.7103
Ibarra Colado, E. (1994). Complejidad organizacional o la conquista de lo incierto –estrategia, estructura y evento-, Cuadernos de Relaciones Laborales, 4, 183-203.
Ishizaka, A., Nemery, P. (2013). Multi-Criteria Decision Analysis. John Wiley & Sons, 1st edition, 2013.
Jiménez-Bandala. C. (2015a). La Transmodernidad en los Estudios Organizacionales. La metáfora del fractal, Revista Internacional de Organizaciones, 14, 77-100.
Jiménez-Bandala. C. (2015b). El paradigma transmoderno en la Administración, los retos metodológicos, Administración y Organizaciones, 18(34), 15-33.
Kamble, A.G., Venkata Rao, R., Kale, A.V. and Samant, S.P. (2011). Selection of Cricket Players Using Analytical Hierarchy Process. International Journal of Sports Science and Engineering, 5(4), 207-212.
Karsak, E.E. (2001). Personnel selection using a fuzzy MCDM approach based on ideal and anti-ideal solutions. Lecture Notes in Economics and Mathematical Systems, 507, 393-402. doi: 10.1007/978-3-642-56680-6_36
Liang, G.S., and Wang, M.J.J. (1994). Personnel selection using fuzzy MCDM algorithm. European Journal of Operational Research, 78(1), 22-33. doi: 10.1016/0377-2217(94)90119-8
Liemhetcharat, S. and Veloso, M. (2014). Weighted synergy graphs for effective team formation with heterogeneous ad hoc agents. Artificial Intelligence, 208: 41-65. doi: 10.1016/j.artint.2013.12.002
Lima, F., Osiro, L. and Ribeiro, L. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194-209. doi: 10.1016/j.asoc.2014.03.014
March, J.G. and Simon, H. (1958). Organizations, New York: John Wiley.
March, J.G. and Olsen, J. (1975) Choice Situations in Loosely Coupled Worlds, Stanford University, unpublished.
Montaño, L. (1994) Argumentos para un debate sobre la modernidad: aspectos organizacionales y económicos, México: UAM.
Morin, E. (1995). Sociología, España: Tecnos.
Müller, M. (2015). What makes an event a mega-event? Definitions and sizes. Leisure Studies, 34(6), 627-642. doi: 10.1080/02614367.2014.993333
Nadaban, S., Dzitac, S. and Dzitac, I. (2016). Fuzzy TOPSIS: A General View. Procedia Computer Science, 91, 823-831. doi: 10.1016/j.procs.2016.07.088
Ozceylan, E. (2016). A mathematical model using AHP for soccer player selection: A case study. South African Journal of Industrial Engineering, 27(2), 190-205. doi: 10.7166/27-2-126
Qader, M.A., Zaidan, B.B., Zaidan. A.A., Ali, S.K., Kamaluddin, M.A. and Razdi, W.B. (2017). A methodology for football players selection problem based on multi-measurements criteria analysis. Measurement, 111, 38-50. doi: 10.1016/j.measurement.2017.07.024
Radcliffe, D. (2005). Critique of Human Resources Theory. Otago Management Graduate Review, 3, 51-67.
Saaty, T.L. (1977). A Scaling Method for Priorities in Hierarchical Structures. Journal of Mathematical Psychology, 15(3), 234-281. doi: 10.1016/0022-2496(77)90033-5
Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York.
Saaty, R.W. (1987). The Analytic Hierarchy Process - What it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. doi: 10.1016/0270-0255(87)90473-8
Selección Mexicana de Fútbol (2017). Convocatoria de la selección Nacional de México. Available: https://miseleccion.mx/convocatoria-la-seleccion-nacional-mexico-9/ [27 Nov 2017].
SoFIFA (2017). Players FIFA, Available: https://sofifa.com/players/top [15 Ago 2017].
Tavana, M., Azizi, F., Azizi, F. and Behzadian, M. (2013). A fuzzy inference system with application to player selection and team formation in multi-player sports. Sport Management Review, 16(1), 97-110. doi: 10.1016/j.smr.2012.06.002
Tiedemann, T., Francksen, T. and Latacz-Lohmann, U. (2011). Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach. Central European Journal of Operations Research, 19(4), 571-587. doi: 10.1007/s10100-010-0146-7
Vilar, L., Arajújo, D., Davids, K., Bar-Yam, Y. (2013). Science of winning soccer: Emergent pattern-forming dynamics in association football. Journal of Systems Science and Complexity, 26(1), 73-84. doi: 10.1007/s11424-013-2286-z
Weick, K, (1976). Educational Organizations as Loosely Coupled Systems. Administrative Science Quaterly, 21(1), 1-19. doi: 10.2307/2391875
Weihrich, H. and Koontz, H. (2015). Elementos de Administración, un enfoque internacional y de innovación, University of Carolina.