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.

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.

Genomic profile of gastric cancer in the United States versus East Asia.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 45-45
Author(s):  
Gregory A. Gilmore ◽  
Mohamad Barakat ◽  
Uzair Bashir Chaudhary ◽  
Jeffrey P. Gregg ◽  
Amir Fathi
Keyword(s):  
United States ◽  
Gastric Cancer ◽  
Tumor Biology ◽  
The United States ◽  
The Cancer Genome Atlas ◽  
Cancer Type ◽  
Asian Ethnicity ◽  
Recurrent Mutations ◽  
Significant Difference ◽  
The Us

45 Background: Gastric cancer is the fourth most common cancer type and is the third leading cause of cancer deaths worldwide. Much heterogenicity exists in gastric cancer including geographic variation, with significantly higher incidence in Eastern Asia and a well-known but poorly understood relationship with Asian ethnicity. It has thus been hypothesized that differences in incidence and survival between United States and Asia may be related to a difference in the underlying tumor biology. Methods: We sought to compare the mutational frequencies by comparison of proportions of the 25 most frequent mutations between a US and Chinese population. The US population was derived from The Cancer Genome Atlas (TCGA) PanCancer Atlas comprising 440 patients and the Chinese from a University of Hong Kong Study comprising 100 patients. Results: We found there was a statistically significant difference (P ≤ 0.05) in the frequency of recurrent mutations between US and China population in 14 of the 25 most common genes mutations (table). Conclusions: This data suggests an underlying difference in the mutational profile of gastric cancers in the US as compared with Asia. These findings thus may help to describe the differences in incidence, histology, and outcomes that has been well described in the literature between these two regions of the world. [Table: see text]

scholarly journals Comparison of Catastrophic Out-of-Pocket Medical Expenditures in the US and South Korea

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 831-832
Author(s):  
Narae Kim ◽  
Mireille Jacobson
Keyword(s):  
United States ◽  
South Korea ◽  
Health Care Expenditure ◽  
The United States ◽  
High Income ◽  
Medical Expenditure ◽  
System Level ◽  
Medical Spending ◽  
Significant Difference ◽  
The Us

Abstract To date, relatively few studies have examined catastrophic out-of-pocket medical spending in the United States, especially in comparison to other high-income countries. We compared catastrophic out-of-pocket medical spending among adults age 65 and older in the United States versus South Korea, a high-income country with national health insurance that is often overlooked in cross-country comparisons. We defined catastrophic medical spending as health care expenditure for the past two years that exceeds 50% of one’s annual household income. Using data from the 2016 Health and Retirement Study (HRS) and Korean Longitudinal Study of Aging (KLoSA), we performed a logistic regression to examine the factors affecting catastrophic out-of-pocket medical spending for older adults in both countries. We also performed a Blinder-Oaxaca decomposition to compare the contribution of demographics factors versus health system-level factors to catastrophic out-of-pocket medical spending. The proportion of respondents with catastrophic out-of-pocket medical expenditure was higher in the US; the proportion was 5.8% and 3.0% in the US and South Korea, respectively. Both in the US and South Korea, respondents who were in the lower-income quartiles, who had experienced a stroke or had diabetes, and who rated their health as poor had higher odds of catastrophic out-of-pocket medical expenditure. The Blinder-Oaxaca non-linear decomposition showed that the significant difference in the rate of catastrophic out-of-pocket medical spending between the two countries was attributable to unobservable system-level factors, not observed differences in the sociodemographic characteristics between the two countries.

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