Recovering performance in the short term after coach succession in Spanish basketball organisations

This work has been partially funded by the Spanish Ministry of Education (project ECO2013-47009-P) and the Regional Government of Andalusia (project P11-SEJ-7988). The authors want to thank the members of the research group, “Innovation, Sustainability and Business Development” (SEJ-481).Research papers on succession processes in sports organisations have usually shown contradictory results. Several factors can explain the different effects on performance after changes, so the purpose of this paper is to obtain a better understanding of coach changes and their impacts on short-term performance. For this purpose, we use ordinary least squares (with Stata) to analyse panel data from a longitudinal sample of 15 years (from the 1997–1998 season to the 2011–2012 season) of Spanish professional basketball organisations, examining all changes in head coaches that occurred during the teams’ competitive seasons using the variables of coach experience or human capital changes within the organisation after the change of coach to determine the repercussions of these changes on performance. The results, with p < .05, support two hypotheses: H2, the possibility of short-term improved performance in organisations after a coach change; and H3, if a coach change is accompanied by more profound changes in human capital (players) the result is worse performance. These results are not contradictory because they indicate that it is possible to recover performance in the short term, but if managers make too many changes at the same time, the team cannot coordinate itself to recover its performance. For organisations, this observation is important because organisations can change key leaders when performance is low but must consider that a large number of simultaneous changes are overly risky because this increases instability and disruption.Spanish Ministry of Education (project ECO2013-47009-P)Regional Government of Andalusia (project P11-SEJ-7988

High performance of professional basketball players and the settings to measure their regularity: evidence from the Spanish ACB League

Available at: <http://siba-ese.unisalento.it/index.php/ejasa/article/view/19295/17877In this paper, we analyse the relationship between performance and regularity to avoid the problem to the use of averages in sports statistics given their sensitivity to extreme data. The aim of this work is to establish which statistics discriminate between the high and low performance and regularity of basketball players using a performance-regularity index. The sample is composed of players from the Spanish professional basketball league, ACB League, from 2014-2015. We divided the sample into players with low, medium and high performance and regularity through a k-means method and a discriminant analysis associating high numbers of rebounds, assists and steals with high performance and regularity and higher numbers of 3- point shots, turnovers and fouls with low performance and regularity. These results should help coaches and sports managers design strategies that improve performance and recruiting for their teams.En este trabajo se analiza la relación entre rendimiento y regularidad para evitar el problema que supone el uso de medias en las estadísticas deportivas dada su sensibilidad a los datos extremos. El objetivo de este trabajo es establecer qué estadísticas iscriminan entre el alto y bajo rendimiento y regularidad de los jugadores de baloncesto utilizando un índice rendimiento-regularidad. La muestra está compuesta por jugadores de la liga profesional española de baloncesto, Liga ACB, de 2014-2015. Dividimos la muestra en jugadores con bajo, medio y alto rendimiento y regularidad a través de un método k-means y un análisis discriminante asociando altos números de rebotes, asistencias y robos con alto rendimiento y regularidad y mayores números de tiros de 3 puntos, pérdidas de balón y faltas con bajo rendimiento y regularidad. Estos resultados deberían ayudar a entrenadores y gestores deportivos a diseñar estrategias que mejoren el rendimiento y la captación de sus equipos.Proyecto ECO2013-47009-PProyecto P11-SEJ-798

Life cycles or longer tenures? A performance and employment duration model for Spanish basketball coaches

This work has been partially funded by the Spanish Ministry of Education (project ECO2010-20483) and the Regional Government of Andalusia (project P11-SEJ-7988).This study analyses the effect of basketball coaches on performance and the question of life cycles on their tenures. From theoretical perspectives like coach-performance relationship, succession theories, life cycle theory,and based on a longitudinal analysis from 1997 to 2012 of a professional Spanish basketball league, we show that the objective established at the season’s start and coach quality positively influence team performance, that a mid-season coaching change negatively influences performance, and the existence of longer tenures coaches that improve team performance. The work is especially interested for sport managers, sport coaches in their decisions-taking, but it is useful to general management to understand the consequences of the tenures or dismissals of their key managers on results.Spanish Ministry of Education ECO2010-20483Regional Government of Andalusia P11-SEJ-798

A multicriteria selection system based on player performance. Case study: The Spanish ACB Basketball League

In this paper, we describe an approach to rank sport players based on their efficiency. Although is extremely useful to analyze the performance of team games there is no unanimity on the use of a single index to perform such a ranking. We propose a method to summarize the huge amount of information collected at different aspects of a sport team which is almost daily publicly available. The tool will allow agents involved in a player's negotiation to show the strengths (and weaknesses) of the player with respect to other players. The approach is based on applying a multicriteria outranking methodology using as alternatives the potential players and criteria different efficiency indices. A novel automatic parameter tuning approach is detailed that will allow coaches and sports managers to design templates and sports strategies that improve the efficiency of their teams. We report the results performed over the available information on the ACB Basketball League, and we show how it can be easily implemented and interpreted in practice by decision-makers non familiar with the mathematical side of the methodology.Comment: 17 pages, 6 Tables, 4 Figure

Adaptación de la metodología al Espacio Europeo de Educación Superior. Análisis de la opinión de los alumnos

Tradicionalmente la asignatura “Métodos Cuantitativos para la Economía y la Empresa” seguía una metodología basada en la conocida lección magistral y con un temido examen final como única evaluación. Con el objetivo de adaptar dicha metodología al Espacio Europeo de Educación Superior, se han propuesto prácticas que faciliten el proceso de autoaprendizaje así como un nuevo sistema de evaluación continuo. El presente trabajo se centra en el análisis de la opinión del alumno, recogida mediante una encuesta, sobre la nueva metodología y los materiales elaborados

Locating hyperplanes to fitting set of points: a general framework

This paper presents a family of methods for locating/fitting hyperplanes with respect to a given set of points. We introduce a general framework for a family of aggregation criteria, based on ordered weighted operators, of different distance-based errors. The most popular methods found in the specialized literature, namely least sum of squares, least absolute deviation, least quantile of squares or least trimmed sum of squares among many others, can be cast within this family as particular choices of the errors and the aggregation criteria. Unified mathematical programming formulations for these methods are provided and some interesting cases are analyzed. The most general setting give rise to mixed integer nonlinear programming problems. For those situations we present inner and outer linear approximations to assess tractable solution procedures. It is also proposed a new goodness of fitting index which extends the classical coefficient of determination and allows one to compare different fitting hyperplanes. A series of illustrative examples and extensive computational experiments implemented in R are provided to show the applicability of the proposed methods.The authors would like to thank the anonymous referees for their constructive comments on previous versions of the paper. The first and second authors were partially supported by the project MTM2016-74983-C2-1-R and MTM2013-46962-C2-1-P (MINECO, Spain). The first and third authors were also supported by the research project PP2016-PIP06(Universidad de Granada) and the research group SEJ-534 (Junta de Andalucía)

The coefficient of determination in the ridge regression

In a linear regression, the coefficient of determination, R2, is a relevant measure that represents the percentage of variation in the dependent variable that is explained by a set of independent variables. Thus, it measures the predictive ability of the estimated model. For an ordinary least squares (OLS) estimator, this coefficient is calculated from the decomposition of the sum of squares. However, when the model presents collinearity problems (a strong linear relation between the independent variables), the OLS estimation is unstable, and other estimation methodologies are proposed, with the ridge estimation being the most widely applied. This paper shows that the decomposition of the sum of squares is not verified in the ridge regression and proposes how the coefficient of determination should be calculated in this case

A Guide to Using the R Package “multiColl” for Detecting Multicollinearity

The detection of problematic collinearity in a linear regression model is treated in all the existing statistical software packages. However, such detection is not always done adequately. The main shortcomings relate to treatment of independent qualitative variables and completely ignoring the role of the intercept in the model (consequently, ignoring the nonessential collinearity). This paper presents the R package multiColl, which implements the usually applied measures for detecting near collinearity while overcoming the weaknesses observed in other existing packages