scholarly journals The Role Of Contested And Uncontested Passes In Evaluating Defensive Basketball Efficiency

2011 ◽  
Vol 4 (2) ◽  
pp. 33-42 ◽  
Author(s):  
James T. Bartholomew ◽  
David. A. Collier
Keyword(s):  
Data Envelopment Analysis ◽  
Full Advantage ◽  
Analytical Methods ◽  
Performance Metrics ◽  
Future Research ◽  
Data Envelopment ◽  
Performance Information ◽  
Use Of Resources ◽  
Modern Analytical

The global economic impact of basketball is measured in tens of billions of dollars and requires the efficient use of resources to maximize success on and off the court. Today, coaches, players, investors, and owners need to take full advantage of modern analytical methods and digital video software capabilities to make the most efficient use of a teams resources. This research is the first in a series that makes full use of modern analytic methods and begins to define new defensive and offensive criteria to supplement the decades old game box score performance information. Data envelopment analysis and statistical methods are used to evaluate two new defensive performance metrics on defensive efficiency. The two new defensive metrics are contested and uncontested passes that are fully defined in the articles appendix. Future research will expand the sample size and allow for more comprehensive models of basketball team defensive efficiency.

scholarly journals Analyzing the performance of the Major League Baseball Teams by using the Data Envelopment Analysis

2021 ◽  
pp. 1-13
Author(s):  
Yanzhi Bi
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Major League Baseball ◽  
Scale Effects ◽  
Competitive Environment ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Major League ◽  
Reasonable Use

Abstract Professional teams are commercial and recreational organizations, and team managers always set their goals to be playing well and benefitting more in a highly competitive environment. In order to measure the ability of the professional teams to make reasonable use of resources and create various outputs, this study employs the Data Envelopment Analysis (DEA) model to measure the efficiencies of 30 Major League Baseball (MLB) teams. The results showed that the inefficiencies were due to pure technical inefficiencies rather than scale effects, and the scale efficiency on average is more higher than the other efficiencies, applying the managers in the Major League Baseball Teams have higher ability of controlling the scale change. Keywords: Major League Baseball, Data Envelopment Analysis, Technical efficiency, Pure technical efficiency, Scale efficiency.

Effects of Data Envelopment Analysis on Performance Assessment

2018 ◽  
pp. 557-581
Author(s):  
Heinz Ahn ◽  
Nadia Vazquez Novoa
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Assessment ◽  
Performance Appraisal ◽  
Efficiency Score ◽  
Data Envelopment ◽  
Financial Assessment ◽  
Dea Efficiency ◽  
Controlling Processes

This paper examines the Data Envelopment Analysis (DEA) methodology from a cognitive perspective. Specifically, it analyzes (a) the role of DEA scores as an overall efficiency measure and (b) to what extent the presence of DEA scores for a non-financial performance appraisal influences a posterior financial performance assessment. The study confirms that the efficiency score acts as a strong performance marker when deciding on which decision making units (DMUs) should be awarded for their non-financial performance. Furthermore, it shows that the results of the non-financial performance evaluation may act as an anchor which significantly influences a posterior financial assessment. These insights have practical consequences for planning, reporting, and controlling processes that incorporate DEA efficiency scores.

Bibliographic Analysis of Operations Research Citation in the Environmental Domain

2020 ◽  
Vol 12 (2) ◽  
pp. 67-79
Author(s):  
Peter Keenan
Keyword(s):  
Data Envelopment Analysis ◽  
Operations Research ◽  
Web Of Science ◽  
Research Management ◽  
Data Envelopment ◽  
Bibliographic Analysis ◽  
Analysis Techniques ◽  
Modelling Techniques ◽  
The Web

This article uses bibliographic analysis techniques to examine the papers in the Web of Science database that have citation links to key operations research/management science (OR/MS) journals. The research identified the journals and papers in the environmental domains which cite these OR/MS journals and identify the key journals, papers, and themes. This research shows that environmental disciplines are becoming more important relative to the business and engineering domains that predominated in the previous years. However, much of the citation of OR/MS journals is for techniques like data envelopment analysis (DEA) which are used to conduct research rather than directly model environmental problems. Of the modelling techniques used to address problems in the environmental domains, MCDM methods are the most often cited, reflecting the importance of MCDM with the decision support systems (DSS) field. There are also significant numbers of applications relating to logistics and energy which cite OR/MS papers. Further research is needed to clarify the role of OR/MS techniques in the environmental sector, a domain outside the traditional areas of OR/MS application.

PORTFOLIO PERFORMANCE BENCHMARKING WITH DATA ENVELOPMENT ANALYSIS

2013 ◽  
Vol 30 (05) ◽  
pp. 1350011 ◽  
Author(s):  
PHILIP Y. L. WONG ◽  
STEPHEN C. H. LEUNG ◽  
JOHN D. GILLEARD
Keyword(s):  
Data Envelopment Analysis ◽  
Facility Management ◽  
Future Research ◽  
Portfolio Performance ◽  
Analysis Tool ◽  
Data Envelopment ◽  
Performance Improvements ◽  
Hard Data ◽  
Performance Benchmarking

This paper proposes data envelopment analysis (DEA) as a suitable data analysis tool to overcome facility management (FM) benchmarking difficulties: FM performance benchmarking analysis is often unsophisticated, relying heavily on simple statistical representation, linking hard cost data with soft customer satisfaction data is often problematic. A case study is presented to show that DEA can provide FM personnel with an objective view on performance improvements. An objective of the case study is to investigate the relative efficiency of nine facilities with the same goals and to determine the most efficient facility. The case is limited to nine buildings in FM on four inputs and nine output criteria. The paper concludes by demonstrating that DEA-generated improvement targets can be applied when formulating FM outsourcing policies, strategies and improvements. Facility manager can apply DEA-generated improvement targets in formulating FM outsourcing policies, specifications development, FM strategy and planning. FM benchmarking with DEA can enhance continuous improvement in service efficiency and cost saving. This will help reduce utility cost as well as pollution. This paper fills the gap in the research of FM benchmarking by applying DEA which studies both soft and hard data simultaneously. It also contributes to a future research of a trade-off sensitivity test between FM cost, services performance and reliability.

Gastos públicos com educação: a análise da eficiência dos municípios da Zona da Mata mineira (p. 119-143)

1969 ◽  
Author(s):  
Leonardo Mesquita Nascimento ◽  
Ivy Silva Costa ◽  
Bruno Silva Olher
Keyword(s):  
Data Envelopment Analysis ◽  
Management Practices ◽  
Local Development ◽  
Secondary Data ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Public Resources ◽  
Capita Spending ◽  
Per Capita ◽  
Social Area

ResumoA educação pública é fator importante para amenizar as disparidades socioeconômicas e para promover o desenvolvimento local. Este estudo buscou analisar a eficiência na alocação dos gastos públicos nos 142 municípios da Zona da Mata mineira por meio da análise envoltória de dados (DEA). Utilizou-se de dados secundários referentes ao ano de 2010, obtidos nos sites do Instituto Brasileiro de Geografia e Estatística (IBGE), Fundação João Pinheiro (FJP) e Secretaria do Tesouro Nacional (STN). Foram extraídas as variáveis PIB per capita, gastos com educação per capita e o Índice Mineiro de Responsabilidade Social (IMRS) relacionado à área de educação. Com base no modelo DEA, apenas 13 municípios foram classificados como eficientes. Por meio da análise de correlação, foi possível inferir que o PIB per capita e os gastos com educação per capita influenciam positivamente o IMRS relacionado à área de educação. No entanto, essa correlação positiva não permite afirmar que maiores investimentos em educação acarretam em eficiência nesta área. Os resultados sugerem a revisão das práticas de gestão dos municípios considerados ineficientes, no intuito de aperfeiçoar os métodos alocativos adotados para que haja melhor aproveitamento dos recursos e melhor provimento da educação pública nesses municípios.Palavras-chave: Análise envoltória de dados. Recursos públicos. Municípios da Zona da Mata mineira. Responsabilidade social em educação pública.Public spending on education: the analysis of the efficiency of municipalities in the Zona da Mata MineiraAbstractPublic education is an important factor to reduce the socioeconomic disparities and to promote local development. This study aimed to analyze the efficiency in the allocation of public spending in the 142 municipalities in the Zona da Mata through data envelopment analysis (DEA). We used secondary data for the year 2010, obtained on the websites of the Brazilian Institute of Geography and Statistics (IBGE), João Pinheiro Foundation (FJP) and the National Treasury Secretariat (STN). The GDP variables were extracted per capita, per capita spending on education and Mining Index of Social Area of Responsibility Education (IMRS Education). Based on DEA model, only 13 municipalities were classified as efficient. Through correlation analyzes indicated that GDP per capita and per capita spending on education influence positively the IMRS Education. Therefore, this positive correlation did not show that greater investment in education lead in efficiency in this area. The results suggest the review of municipalities management practices that were considered inefficient in order to improve the allocation methods adopted so there is a better use of resources and public education provision in these municipalities.Keywords: Data envelopment analysis. Public resources. Zone municipalities da Mata. Social responsibility in public education.El gasto público en educación: el análisis de la eficiencia de los municipios de la Zona da Mata MineiraResumenLa educación pública es un factor importante para mitigar las disparidades socioeconómicas y promover el desarrollo local. Este estudio investiga la eficiencia en la asignación del gasto público en los 142 municipios de la Zona da Mata mediante el análisis envolvente de datos (DEA). Utilizamos datos secundarios para el año 2010, obtenida en los sitios web del Instituto Brasileño de Geografía y Estadística (IBGE), João Pinheiro Fundación (FJP) y la Secretaría del Tesoro Nacional (STN). Las variables del PIB fueron extraídos por habitante, el gasto per cápita en educación y Minería Índice de Área Social de Educación Responsabilidad (IMRS Educación). Basado en el modelo DEA, sólo 13 municipios fueron clasificados como eficiente. A través del análisis de correlación fue posible inferir que el PIB per cápita y el gasto per cápita en educación positivamente influir en la Educación IMRS. Sin embargo, esta correlación positiva no dice que una mayor inversión en la educación lograr la eficiencia en esta área. Los resultados sugieren una revisión de las prácticas de gestión de los municipios considerados ineficientes, con el fin de mejorar los métodos de asignación adoptadas para que haya un mejor uso de los recursos y una mejor provisión de la educación pública en estos municipios.Palabras clave: Análisis envolvente de datos. Los recursos públicos. Municipios Zona da Mata. Responsabilidad social en la educación pública.

Collective Guilt and Attitudes Toward Recycling: Data From a North Queensland Sample

2012 ◽  
Vol 2 ◽  
Author(s):  
Pamela M. Pensini ◽  
Nerina J. Caltabiano
Keyword(s):  
Social Norms ◽  
Developed Countries ◽  
Self Report ◽  
Modern World ◽  
Future Research ◽  
Collective Guilt ◽  
Use Of Resources ◽  
Overwhelming Evidence ◽  
Relevant Domain

There is overwhelming evidence that environmental concerns currently facing the modern world are, at least partly, due to the unsustainable use of resources in developed countries. In this study, feelings of collective guilt in members of a developed nation, Australia, were investigated as a factor motivating individuals to recycle. Eighty-five participants from North Queensland (24 male, 61 female; aged 17 to 64, M = 24.16, SD = 8.42) completed self-report measures of collective guilt, social desirability, social norms, attitudes toward recycling and percentage of household rubbish recycled. As predicted, those accepting more collective guilt for the actions of their ingroup reported more favourable attitudes toward recycling. However, collective guilt failed to predict actual recycling behaviour. The same was found for social norms in that they predicted attitudes to recycling, but not the amount of rubbish recycled. Attitudes toward recycling were the only successful predictor of the amount of rubbish recycled. This study has demonstrated the role of the emotion of collective guilt and social norms in one environmentally relevant domain. Avenues for future research regarding the implications of collective guilt on ecological behaviour have been discussed.

scholarly journals Economic Efficiency of the Main Oil Producing Countries in Upstream Sector in the Period 2010-2017

2021 ◽  
Vol 17 (2) ◽  
pp. 1-17
Author(s):  
José César Lenin Navarro Chávez ◽  
Odette Virginia Delfín Ortega ◽  
Enrique Guardado Ibarra
Keyword(s):  
United States ◽  
United Kingdom ◽  
Data Envelopment Analysis ◽  
United Arab Emirates ◽  
Economic Efficiency ◽  
Allocative Efficiency ◽  
Oil Industry ◽  
Data Envelopment ◽  
Economic Vulnerability ◽  
Use Of Resources

This work aims to calculate the economic efficiency of the main upstream oil producing countries in 2010-2017, using the Data Envelopment Analysis (DEA) methodology. In the begining the technical efficiency is determined, next allocative efficiency is calculated to finally obtain the economic efficiency. The countries analyzed were: United States, Russia, Canada, China, United Arab Emirates, Kuwait, Brazil, Kazakhstan, Mexico, Angola, Venezuela, Algeria, United Kingdom, Holland, France and Spain. It can be seen from the results that no country was efficient in economic terms. However, Russia had the highest levels of economic efficiency, on the opposite side, France has the lowest values in this indicator. It is recommended to establish strategies in the sector to avoid economic vulnerability in some countries. The main limitation is the availability of the data. The originality of the research consists in obtaining economic efficiency in this industry, since there are no studies with these specific characteristics. It is concluded that in terms of economic efficiency, there was no adequate use of resources in the upstream oil industry.

Measuring the Efficiency of Free and Open Source Software Projects Using Data Envelopment Analysis

2007 ◽  
pp. 25-46
Author(s):  
Stefan Koch
Keyword(s):  
Data Envelopment Analysis ◽  
Open Source ◽  
Optimization Method ◽  
Future Research ◽  
Data Envelopment ◽  
Software Projects ◽  
Data Set ◽  
Output Factors ◽  
Future Research Directions ◽  
Using Data

In this chapter, we propose for the first time a method to compare the efficiency of free and open source projects, based on the data envelopment analysis (DEA) methodology. DEA offers several advantages in this context, as it is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconomies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 43 large F/OS projects retrieved from SourceForge.net, we demonstrate the application of DEA, and show that DEA indeed is usable for comparing the efficiency of projects. We will also show additional analyses based on the results, exploring whether the inequality in work distribution within the projects, the licensing scheme or the intended audience have an effect on their efficiency. As this is a first attempt at using this method for F/OS projects, several future research directions are possible. These include additional work on determining input and output factors, comparisons within application areas, and comparison to commercial or mixed-mode development projects.

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