Characteristics of Health Maintenance Organizations and Their Influence on Efficiency

2000 ◽  
Vol 13 (1) ◽  
pp. 40-56 ◽  
Author(s):  
D. A. Draper ◽  
I. Solti ◽  
Y. A. Ozcan
Keyword(s):  
United States ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
The United States ◽  
Health Maintenance Organizations ◽  
Data Envelopment ◽  
Health Maintenance ◽  
Operational Characteristics ◽  
Medicare Programme ◽  
Programme Participation

This study examines the efficiency of Health Maintenance Organizations (HMOs) based on a sample of 249 HMOs operating in the United States in 1995. Data Envelopment Analysis (DEA) was used to calculate the level of technical efficiency for each HMO included in the sample. Further descriptive analyses were conducted examining various structural and operational characteristics of HMOs and their impact on efficiency. Federal qualification status, Medicare programme participation, combined Medicare and Medicaid programmes participation, chain affiliation and size were found to be significant influences on HMO efficiency.

scholarly journals Benchmarking the operational efficiency of major U.S. trucking firms using data envelopment analysis

2003 ◽  
Vol 14 (2) ◽  
pp. 22-34 ◽  
Author(s):  
Hokey Min ◽  
Seong Jong Joo
Keyword(s):  
United States ◽  
Data Envelopment Analysis ◽  
Best Practices ◽  
Continuous Improvement ◽  
The United States ◽  
Operational Efficiency ◽  
Data Envelopment ◽  
Logistics Industry ◽  
Non Profit ◽  
Using Data

In an era of downsizing and financial cutbacks, the operational efficiency of trucking firms dictates their competitiveness and survival. In an effort to help trucking firms develop a winning formula in the fiercely competitive logistics industry, this research aims to develop a meaningful set of benchmarks that will set the tone for best practices. In particular, a data envelopment analysis (DEA) is described. DEA has proven to be useful for measuring the operational efficiency of various profit or non-profit organizations. Using the examples of major trucking businesses in the United States, the usefulness of data envelopment analysis for the continuous improvement of trucking services is illustrated.

scholarly journals A Mathematical Programming Approach to Brand Efficiency of Smartphones in the US Market

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Shiu-Wan Hung ◽  
Han-Chung Chou ◽  
Wen-Min Lu ◽  
Shi-Xiao Wang
Keyword(s):  
United States ◽  
Data Envelopment Analysis ◽  
Mathematical Programming ◽  
Growth Period ◽  
The United States ◽  
Programming Approach ◽  
Data Envelopment ◽  
Significant Difference ◽  
The Us ◽  
Mathematical Programming Approach

This study applied mathematical programming approach to investigate the brand efficiency of smartphone brands by collecting data of 2013–2015 from Consumer Report. The brand efficiency was completed by employing the slack-based measure in data envelopment analysis. The degree of inefficiency of each brand was evaluated, and each brand’s metatechnology ratio was calculated using the metafrontier concept. The results revealed that the sampled smartphone brands reach the highest average brand efficiency in 2013, where Apple exhibited the highest brand efficiency among the sampled brands. The high brand efficiency in 2013 was attributed to the small number of product types at beginning of the growth period of smartphones. Finally, this study examined the efficiency of smartphone brands among four major telecommunications operators in the United States. It was found that Apple demonstrated the highest efficiency with all four operators, while no significant difference was noted among operators and smartphone brands.

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