References
- Baroncelli, A., Lago, U., & Szymanski, S. (2004). Il business del calcio. Egea.
- Barros, C. P. (2001). Economic return on schooling for soccer players. Journal of Sports Economics, 2(4), 369–378. https://doi.org/10.1177/152700250100200405
- Brown, A., Rambaccussing, D., Reade, J. J., & Rossi, G. (2016). Using social media to identify market inefficiencies: evidence fromTwitter and Betfair. Retrieved from https://eprints.bbk.ac.uk/18396/1/18396.pdf
- Bryson, A., Frick, B., & Simmons, R. (2013). The returns to scarce talent: Footedness and player remuneration in European Soccer. Journal of Sports Economics, 14(6), 606–628. https://doi.org/10.1177/1527002511435118
- Carmichael, F., & Thomas, D. (1993). Bargaining in the transfer market: Theory and evidence. Applied Economics, 25(12), 1467–1476. https://doi.org/10.1080/00036849300000150
- Carvalho, N. B., Minim, V. P. R., Nascimento, M., Vidigal, M. C. T. R., Ferreira, M. A. M., Gonçalves, A. C. A., & Minim, L. A. (2015). A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market. Food Research International, 77, 400–407. https://doi.org/10.1016/j.foodres.2015.10.013
- Chen, H., De, P., Hu, Y. J., & Hwang, B.-H. (2014). Wisdom of crowds: The value of stock opinions transmitted through social media. The Review of Financial Studies, 27(5), 1367–1403. https://doi.org/10.1093/rfs/hhu001
- Crolley, L., Levermore, R., & Pearson, G. (2002). For business or pleasure? A discussion of the impact of European Union law on the economic and socio-cultural aspects of football. European Sport Management Quarterly, 2(4), 276–295. https://doi.org/10.1080/16184740208721929
- Dawes, R. M., Faust, D., & Meehl, P. E. (1989). Clinical versus actuarial judgment. Science, 243(4899), 1668–1674. https://doi.org/10.1126/science.2648573
- Deutscher, C., & Bu Schemann, A. (2016). Does performance consistency pay off financially for players? Evidence from the Bundesliga. Journal of Sports Economics, 17(1), 27–43. https://doi.org/10.1177/1527002514521428
- Dobson, S., Goddard, J. A., & Dobson, S. (2001). The economics of football. Cambridge University Press.
- Drut, B., & Duhautois, R. (2015). Assortative matching using soccer data: Evidence of mobility bias. Journal of Sports Economics, 1–17.
- Evans, J. S. B. (2006). The heuristic-analytic theory of reasoning: Extension and evaluation. Psychonomic Bulletin & Review, 13(3), 378–395. https://doi.org/10.3758/BF03193858
- Ferreira, D. F. (2011). Estatística Multivariada (2a ed). Editora Ufla.
- FIFA\TMS. (2017). Global transfer market report 2017. Retrieved from https://www.fifatms.com/data-reports/reports/
- FIFA\TMS. (2019). Global transfer market report 2019. Retrieved from https://resources.fifa.com/image/upload/global-transfer-market-report-2019-men.pdf?cloudid=x2wrqjstwjoailnncnod
- Filmer, D., & Pritchett, L. H. (2001). Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India. Demography, 38(1), 115–132.
- Fraley, C., & Raftery, A. E. (1998). How many clusters? Which clustering method? Answers via model-based cluster analysis. The Computer Journal, 41(8), 578–588. https://doi.org/10.1093/comjnl/41.8.578
- Gerrard, B. (2001). A new approach to measuring player and team quality in professional team sports. European Sport Management Quarterly, 1(3), 219–234. https://doi.org/10.1080/16184740108721898
- Giuliani, M. (2013). Not all sunshine and roses: Discovering intellectual liabilities “in action”. Journal of Intellectual Capital, 14(1), 127–144. https://doi.org/10.1108/14691931311289057
- Gutiérrez, H. C. (2013). Mitos de la sociedad moderna: Un negocio lucrativo. Ecoe Ediciones.
- Gutiérrez, J. C. Á. (2007). Estadística general aplicada. Universidad Eafit.
- Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1999). Análisis multivariante. Prentice Hall.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7a ed). Pearson.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7a ed). Pearson Education Limited.
- Hartigan, J. A., & Wong, M. A. (1979). Algorithm AS 136: A K-means clustering algorithm. Applied Statistics, 28(1), 100–108. https://doi.org/10.2307/2346830
- Herm, S., Callsen, H., & Kreis, H. (2014). When the crowd evaluates soccer players’ market values: Accuracy and evaluation attributes of an online community. Sport Management Review, 17(4), 484–492. https://doi.org/10.1016/j.smr.2013.12.006
- Hogarty, K. Y., Hines, C. V., Kromrey, J. D., Ferron, J. M., & Mumford, K. R. (2005). The quality of factor solutions in exploratory factor analysis: The influence of sample size, communality, and overdetermination. Educational and Psychological Measurement, 65(2), 202–226. https://doi.org/10.1177/0013164404267287
- Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187–200. https://doi.org/10.1007/BF02289233
- Kitchenham, B. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. https://www.elsevier.com/__data/promis_misc/525444systematicreviewsguide.pdf
- Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and Software Technology, 51(1), 7–15. https://doi.org/10.1016/j.infsof.2008.09.009
- Kuethe, T. H., & Motamed, M. (2010). Returns to stardom: Evidence from U.S. Major League soccer. Journal of Sports Economics, 11(5), 567–579. https://doi.org/10.1177/1527002509354268
- Lucifora, C., & Simmons, R. (2003). Superstar effects in sport: Evidence from Italian soccer. Journal of Sports Economics, 4(1), 35–55. https://doi.org/10.1177/1527002502239657
- Mollick, E., & Nanda, R. (2016). Wisdom or madness? Comparing crowds with expert evaluation in funding the arts. Management Science, 62(6), 1533–1553. https://doi.org/10.1287/mnsc.2015.2207
- Montanari, F., Silvestri, G., & Bof, F. (2008). Performance and individual characteristics as predictors of pay levels: The case of the Italian ‘Serie A’. European Sport Management Quarterly, 8(1), 27–44. https://doi.org/10.1080/16184740701814381
- Morrison, D. E. (1976). Multivariate statistical methods (2a ed). McGraw-Hill.
- Müller, O., Simons, A., & Weinmann, M. (2017). Beyond crowd judgments: Data-driven estimation of market value in association football. European Journal of Operational Research, 263(2), 611–624. https://doi.org/10.1016/j.ejor.2017.05.005
- Peeters, T. (2018). Testing the wisdom of crowds in the field: Transfermarkt valuations and international soccer results. International Journal of Forecasting, 34(1), 17–29. https://doi.org/10.1016/j.ijforecast.2017.08.002
- Pérez López, C., & Santín González, D. (2007). Minería de datos: Técnicas y herramientas. Thomson.
- Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics: Statistical Issues in Psychology, Education, and the Social Sciences, 2(1), 13–43. doi: https://doi.org/10.1207/S15328031US0201_02
- Ramírez Hassan, A., & Graciano Londoño, M. (2017). Profiting from the English premier League: Predictive elicitation, the Kelly criterion, and Black Swans. International Journal of Sports Finance, 12, 386–395.
- Richards, K. A., & Jones, E. (2008). Customer relationship management: Finding value drivers. Industrial Marketing Management, 37(2), 120–130. https://doi.org/10.1016/j.indmarman.2006.08.005
- Roll, R., & Ross, S. A. (1980). An empirical investigation of the arbitrage pricing theory. The Journal of Finance, 35(5), 1073–1103. https://doi.org/10.1111/j.1540-6261.1980.tb02197.x
- Serna Rodríguez, M., Ramírez Hassan, A., & Coad, A. (2019). Uncovering Value Drivers of High Performance Soccer Players. Journal of Sports Economics, 20(6), 819–849. doi: https://doi.org/10.1177/1527002518808344
- Shevlin, M., & Miles, J. N. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, 25(1), 85–90. https://doi.org/10.1016/S0191-8869(98)00055-5
- Surowiecki, J. (2005). The wisdom of crowds. Anchor.
- Szymanski, S. (2000). A market test for discrimination in the English professional soccer leagues. Journal of Political Economy, 108(3), 590–603. https://doi.org/10.1086/262130
- Szymanski, S., & Smith, R. (1997). The English football industry: Profit, performance and industrial structure. International Review of Applied Economics, 11(1), 135–153. https://doi.org/10.1080/02692179700000008
- Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
- Viedma Martí, J. M. (2003). In search of an intellectual capital general theory. Electronic Journal of Knowledge Management, 1(2), 213–226.
- Vyas, S., & Kumaranayake, L. (2006). Constructing socio-economic status indices: How to use principal components analysis. Health Policy and Planning, 21(6), 459–468. https://doi.org/10.1093/heapol/czl029
- Weimar, D., & Wicker, P. (2017). Moneyball revisited: Effort and team performance in professional soccer. Journal of Sports Economics, 18(2), 140–161. https://doi.org/10.1177/1527002514561789
- Yong, A. G., & Pearce, S. (2013). A beginner’s guide to factor analysis: Focusing on exploratory factor analysis. Tutorials in Quantitative Methods for Psychology, 9(2), 79–94. https://doi.org/10.20982/tqmp.09.2.p079