scholarly journals Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402198925
Author(s):  
Isidoro Guzmán-Raja ◽  
Manuela Guzmán-Raja
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Sport Performance ◽  
Data Envelopment ◽  
Professional Football ◽  
Efficiency Measure ◽  
Factors Affecting ◽  
Football Clubs ◽  
Main Factors ◽  
Using Data

Professional football clubs have a special characteristic not shared by other types of companies: their sport performance (on the field) is important, in addition to their financial performance (off the field). The aim of this paper is to calculate an efficiency measure using a model that combines performance (sport and economic) based on data envelopment analysis (DEA). The main factors affecting teams’ efficiency levels are investigated using cluster analysis. For a sample of Spanish football clubs, the findings indicate that clubs achieved a relatively high efficiency level for the period studied, and that the oldest teams with the most assets had the highest efficiency scores. These results could help club managers to improve the performance of their teams.

scholarly journals Factors Affecting Production Efficiency in a New Alternative Enterprise: The Case of the Ratite Industry

1997 ◽  
Vol 29 (2) ◽  
pp. 409-418 ◽  
Author(s):  
Jeffrey Gillespie ◽  
Alvin Schupp ◽  
Gary Taylor
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Efficiency Measures ◽  
Using Data

AbstractTechnical efficiency measures are calculated for ratite producers using data envelopment analysis. Regression analysis is then used to determine producer characteristics that are likely to lead to higher technical efficiencies. Results indicate that the most technically efficient ratite producers in Louisiana are not producing at the benchmark efficiency level advocated by the industry. Producer experience with other livestock, specialization, and labor are factors likely to lead to higher technical efficiency. These results are expected to hold for most new, alternative livestock enterprises.

scholarly journals A COMPARATIVE STUDY OF BANKING EFFICIENCY IN ASEAN-5: THE DATA ENVELOPMENT ANALYSIS (DEA) APPROACH

2018 ◽  
Vol 33 (2) ◽  
pp. 168
Author(s):  
Setyo Tri Wahyudi ◽  
Azizah Azizah
Keyword(s):  
Data Envelopment Analysis ◽  
High Efficiency ◽  
Efficiency Score ◽  
The Philippines ◽  
Data Envelopment ◽  
Banking Efficiency ◽  
Output Efficiency ◽  
Input Variables ◽  
Using Data ◽  
Second Period

As an intermediary institution, a bank is required to operate efficiently due to the increased competition among banks, both domestic and international. However, not all banks are able to optimize their owned resources to reach a certain efficiency level. Thus, efficiency plays an important role in this era of more globalized banking competiti on. The objective of this study is to calculate the banking efficiency score for the ASEAN-5 countries, consisting of Indonesia, Malaysia, the Philippines, Singapore, and Thailand. Using Data Envelopment Analysis (DEA), the input variables comprised of employees’ benefits, fixed assets, and deposits; while the output variables were total income and loans. The results show the relatively high efficiency levels of every bank in each country. The achievement of an input-output efficiency variable in the first period (2006-2009) tended to increase, but the second period (2010-2013) showed a declining trend. The performance of the banks in Singapore during the first period was very good, while in the second period, the banks in the Philippines showed a respectable performance.

scholarly journals Cost Efficiency of Indian Life Insurance Service Providers using Data Envelopment Analysis

2018 ◽  
Vol 10 (1) ◽  
pp. 59
Author(s):  
Mihir Dash ◽  
Arpana Muthyala
Keyword(s):  
Data Envelopment Analysis ◽  
Life Insurance ◽  
Cost Efficiency ◽  
High Efficiency ◽  
Service Providers ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Major Life ◽  
Using Data ◽  
Research Period

This study examines the cost efficiency of Indian life insurance service providers using Data Envelopment Analysis. The study was performed for a sample of fifteen of the major life insurance companies in India, accounting for 94.77% of the total market for life insurance in India, over the period of 2010-17. The study extends the scope of cost efficiency by disaggregating the premium collection into components. Also, to provide more detailed insights, the efficiency of the life insurance companies is also analysed with respect to each input and output individually.The results of the study show that the most efficient Indian life insurance companies are Life Insurance Corporation, which has been consistently 100% efficient throughout the research period, followed by SBI Life and ICICI Prudential Life, which have also shown consistently high efficiency over the research period. On the other hand, the least efficient life insurance companies are Max New York Life, followed by PNB Met Life, Reliance Life, and Bharati AXA Life. The results of the study also indicate the strengths and weaknesses of the Indian life insurance providers.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

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