Assessment of sustainable development through a multi-criteria approach: Application in brazilian municipalities.

In the last decades, there has been an increase in impacts on the environment, driven by the industrialization process. As a result, society's social and environmental awareness increased, and business organizations began to promote corporate social responsibility initiatives to positively contribute to better working and environmental conditions, and other sustainability issues. This article aims to verify the performance of 217 Brazilian municipalities from 31 indicators segmented in the three dimensions of sustainability (economic, environmental, and social), selected from the literature review, to contribute to the sustainable investment strategy of organizations. To this end, we used the multi-criteria decision making method, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and proposed an analytical sustainability dashboard. The main results of this paper were the sustainable performance rankings of the municipalities and the dashboard with three analytical panels that contributed to identifying the points of improvement of each municipality, consequently contributing to the investment strategy in these locations. This research consists, therefore, of an important methodology, combining the multi-criteria method and the sustainability dashboard, to assess the sustainable development of the municipalities in the triple bottom line dimensions.

Performance analysis of professional soccer goalkeepers by Composition of Probabilistic Preferences / Análise de desempenho de goleiros do futebol profissional por Composição Probabilística de Preferências / Análisis del rendimiento de porteros de fútbol profesional por Composición Probabilística de Preferencias

ABSTRACT This research aims to assist managers and technical commissions to choose professional soccer goalkeepers. A sample of 64 goalkeepers playing in Argentina and Brazil was studied. Their performance in the matches of two seasons were analyzed considering three criteria: goals against per minute played, percentage of goals and percentage of matches without conceded goals. The Composition of Probabilistic Preferences (CPP) was the method chosen for modeling, considering the random variability in the problem data and in football, considered one of the most unpredictable sports. CPP allowed to compare the choice based on the data analysis to the latest goalkeeper call-ups for these countries' national teams. The selected goalkeepers corresponded to those presenting the best individual performance, which confirms the model.

RESUMO Esta pesquisa teve como objetivo auxiliar gestores e comissões técnicas na escolha de goleiros do futebol profissional. Foi estudada uma amostra de 64 goleiros que atuam na Argentina e no Brasil. Foram analisados seus desempenhos em jogos de duas temporadas, considerando três critérios: gols sofridos por minutos jogados, percentual de gols evitados e percentual de partidas sem sofrer gols. A Composição Probabilística de Preferências foi o método escolhido para a modelagem, por considerar a variabilidade aleatória dos dados do problema e do futebol, considerado um dos esportes mais imprevisíveis. A aplicação comparou a escolha baseada na análise dos dados com as últimas convocações de goleiros para as seleções desses países. Os goleiros selecionados corresponderam aos de melhor desempenho individual, confirmando o modelo.

RESUMEN Esta investigación tuvo como objetivo ayudar a gerentes y comisiones técnicas para elegir a los porteros de fútbol profesional. Una muestra de 64 porteros de Argentina y Brasil fue estudiada. Las actuaciones en los partidos de dos temporadas fueran analizadas, considerando tres criterios: goles concedidos por minutos jugados, porcentaje de goles evitados y porcentaje de partidos en los que al portero no le encajaron goles. La Composición Probabilística de Preferencias fue el método elegido, considerando la variabilidad aleatoria de los datos del problema y del fútbol, considerado uno de los deportes más impredecibles. La aplicación comparó la muestra con las últimas convocatorias de porteros de las selecciones nacionales de estos países. Los porteros seleccionados correspondieron a los de mejor rendimiento individual, confirmando el modelo.

Evaluation of soccer players under the Moneyball concept.

The recruitment of athletes with limited resources is a global problem in professional sports. In US Major League Baseball, the experience of the Oakland Athletics' general manager in the last decade turned his "Moneyball" model into a synonym of quantitative analysis in the transfer market of baseball players. His strategy focused on hiring players with outstanding technical skills but relatively low market value. This study adapted this model to the framework of a multiple criteria decision aid (MCDA), by selecting undervalued players who have complementary abilities. The novelty here refers to the joint use of four algorithms explored by the composition of probabilistic preferences (CPP) (i.e., ranking, classification, dynamic evaluation and regularity analysis) and their application to soccer player performance evaluation. The new model analysed the recent transfer of a left-back soccer player to Europe. The results indicated 12 opportunities for better investment, among 32 left and right-back players considered. Two years later, the value of the same player was considerably lower. He played only five matches in the 2018-2019 season, without scoring or providing any assists. On the other hand, the players better classified by the CPP-MB model presented higher performances and market values.