Data Envelopment Analysis （DEA） is a powerful mathematical optimization method widely used for measuring, evaluating and improving the performance of Decision Making Units （DMUs）. These used in the various forms, ...Data Envelopment Analysis （DEA） is a powerful mathematical optimization method widely used for measuring, evaluating and improving the performance of Decision Making Units （DMUs）. These used in the various forms, such as hospitals, government agencies, educational institutions, air force, bank branches, business finns, sport teams and even people including the performance of countries, regions, etc. Recently DEA has been extended to examine the performance through the different sport types. In this paper, a Stochastic Input Oriented Data Envelopment Analysis （SIODEA） Model is conducted for measuring and evaluating the relative efficiency scores of football teams selected from different European countries during 2014/2015 season each with some of inputs are stochastic with normally distributed and recent inputs are deterministic and outputs, to shed light on the professional football teams performance.展开更多
Network governance, widely used as theoretical model in investigations on social housing, is not free from critiques, first of all, for the fact that it has a uni-directionality of bottom-up processes, when oriented t...Network governance, widely used as theoretical model in investigations on social housing, is not free from critiques, first of all, for the fact that it has a uni-directionality of bottom-up processes, when oriented to public deliberation, or top-down when decision-makers are technical experts at the political level. Given the new complexity of the social housing issue and the considered limits of the network governance, this work aims at looking for a possible different theoretical framework able to give different tools to simplify decision making processes without any alteration of any basic decisional element. The contribution given by this work is the proposition of what has been called ＂fluent governance＂ as a framework of decision making able to represent the whole spectrum of interventions in the process, also taking into account aspects not captured by standard models. The paper reports an experimentation of the proposed model conducted in Italy in the field of renovating social housing policy.展开更多
文摘Data Envelopment Analysis （DEA） is a powerful mathematical optimization method widely used for measuring, evaluating and improving the performance of Decision Making Units （DMUs）. These used in the various forms, such as hospitals, government agencies, educational institutions, air force, bank branches, business finns, sport teams and even people including the performance of countries, regions, etc. Recently DEA has been extended to examine the performance through the different sport types. In this paper, a Stochastic Input Oriented Data Envelopment Analysis （SIODEA） Model is conducted for measuring and evaluating the relative efficiency scores of football teams selected from different European countries during 2014/2015 season each with some of inputs are stochastic with normally distributed and recent inputs are deterministic and outputs, to shed light on the professional football teams performance.
文摘Network governance, widely used as theoretical model in investigations on social housing, is not free from critiques, first of all, for the fact that it has a uni-directionality of bottom-up processes, when oriented to public deliberation, or top-down when decision-makers are technical experts at the political level. Given the new complexity of the social housing issue and the considered limits of the network governance, this work aims at looking for a possible different theoretical framework able to give different tools to simplify decision making processes without any alteration of any basic decisional element. The contribution given by this work is the proposition of what has been called ＂fluent governance＂ as a framework of decision making able to represent the whole spectrum of interventions in the process, also taking into account aspects not captured by standard models. The paper reports an experimentation of the proposed model conducted in Italy in the field of renovating social housing policy.
