Measuring the impact of enterprise integration on firm performance using data envelopment analysis

2018 ◽  
Vol 200 ◽  
pp. 119-129 ◽  
Author(s):  
Ariyan Fazlollahi ◽  
Ulrik Franke
Keyword(s):  
Data Envelopment Analysis ◽  
Firm Performance ◽  
Data Envelopment ◽  
Enterprise Integration ◽  
Using Data ◽  
The Impact

Does the Financial Self-sufficiency of Municipalities Affect Efficiency of the Museums which they Founded? (A Case Study from the Czech Republic)

2017 ◽  
Vol 15 (3) ◽  
pp. 479-494 ◽  
Author(s):  
Michal Plaček ◽  
František Ochrana ◽  
Milan Půček ◽  
Milan Křápek ◽  
David Špaček
Keyword(s):  
Regression Analysis ◽  
Data Envelopment Analysis ◽  
Fiscal Decentralization ◽  
Financial Data ◽  
Data Envelopment ◽  
The Czech Republic ◽  
Self Sufficiency ◽  
Using Data ◽  
The Impact

This paper analyzes and discusses the impact of fiscal decentralization on the efficiency of museums run by municipalities. It tests the hypothesis that municipalities with higher levels of income self-sufficiency can more efficiently manage museums than municipalities with lower levels of financial self-sufficiency. For our analysis, we used financial data for the years 2015 to analyze the efficiency of museums using data envelopment analysis (DEA). To test the hypothesis about the impact of financial self-sufficiency, we use regression analysis. The results obtained did not confirmed the hypothesis.

scholarly journals An Examination of COVID-19 Mitigation Efficiency among 23 Countries

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 755
Author(s):  
Emily Chia-Yu Su ◽  
Cheng-Hsing Hsiao ◽  
Yi-Tui Chen ◽  
Shih-Heng Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Pearson Correlation ◽  
Data Envelopment ◽  
Travel Restrictions ◽  
The Usa ◽  
Correlation Tests ◽  
Using Data ◽  
The Impact

The purpose of this paper was to compare the relative efficiency of COVID-19 transmission mitigation among 23 selected countries, including 19 countries in the G20, two heavily infected countries (Iran and Spain), and two highly populous countries (Pakistan and Nigeria). The mitigation efficiency for each country was evaluated at each stage by using data envelopment analysis (DEA) tools and changes in mitigation efficiency were analyzed across stages. Pearson correlation tests were conducted between each change to examine the impact of efficiency ranks in the previous stage on subsequent stages. An indicator was developed to judge epidemic stability and was applied to practical cases involving lifting travel restrictions and restarting the economy in some countries. The results showed that Korea and Australia performed with the highest efficiency in preventing the diffusion of COVID-19 for the whole period covering 105 days since the first confirmed case, while the USA ranked at the bottom. China, Japan, Korea, and Australia were judged to have recovered from the attack of COVID-19 due to higher epidemic stability.

Evaluation of the Export Efficiency of the Turkish Ceramic Industry during the Global Crisis using Data Envelopment Analysis (DEA) Method

2013 ◽  
pp. 241-249 ◽  
Author(s):  
Füsun Yenilmez
Keyword(s):  
Data Envelopment Analysis ◽  
Economic Crisis ◽  
Ceramic Industry ◽  
Export Performance ◽  
Developed Countries ◽  
Data Envelopment ◽  
Global Crisis ◽  
Industrial Firms ◽  
Using Data ◽  
The Impact

In 2009, the world entered a new financial era. The ongoing global economic crisis has affected all developing and developed countries. During this period, the crisis turned into a complete economic crisis affecting not only financial circles but also the real sector. This chapter evaluates the impact of the global crisis upon the export performance of the Turkish ceramics sector. To this end, this study seeks to measure the export performance of the ceramics factories, ranked among the largest 1,000 industrial firms in 2009, and to offer some recommendations for improvement in the industrial production. Data Envelopment Analysis (DEA) is used in the identification of the effectiveness in the exports by ceramics companies. The study, which relies on eight firms as decision units is comprised of three inputs (net actives, number of workers, and amount of production) and one output (export). The study, based on output-oriented DEA, finds that only Vitra was effective and efficient in its exports in 2009. Based on these findings, it could be concluded that the only company that has not been affected by the global crisis was Vitra.

Measuring the Efficiency of Marketing Efforts in the Indian Pharmaceutical Industry using Data Envelopment Analysis

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
M. Dash ◽  
A. Bose ◽  
S. Shome ◽  
S. Mondal ◽  
M.G. Majumdar ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Sales Performance ◽  
Pharmaceutical Companies ◽  
Data Envelopment ◽  
Panel Regression ◽  
Model Data ◽  
Huge Amount ◽  
Using Data ◽  
The Impact ◽  
Indian Pharmaceutical Industry

Pharmaceutical companies have been spending huge amount of money on marketing and promotions, sales distribution, and traveling done by the sales representatives. However, they find it difficult to directly link the returns with these efforts. This study makes an attempt to examine whether the marketing efforts have significant influence on the sales performance in the industry. It uses the DEA model (Data Envelopment Analysis) to assess the efficiency of marketing efforts by pharmaceutical companies, and uses random effects maximum likelihood panel regression to assess the significance of the impact of marketing efforts.

scholarly journals An examination of COVID-19 mitigation efficiency among 23 countries

2020 ◽  
Author(s):  
Yi-Tui Chen ◽  
Shih-Heng Yu ◽  
Emily Chia-Yu Su
Keyword(s):  
Data Envelopment Analysis ◽  
Pearson Correlation ◽  
Data Envelopment ◽  
Travel Restrictions ◽  
The Usa ◽  
Correlation Tests ◽  
Using Data ◽  
The Impact

The purpose of this paper is to compare the relative mitigation efficiency of COVID-19 transmission among 23 selected countries, including 19 countries in the G20, two heavily infected countries (Iran and Spain), and two highly populous countries (Pakistan and Nigeria). This paper evaluated the mitigation efficiency for each country at each stage by using data envelopment analysis (DEA) tools and analyzed changes in mitigation efficiency across stages. Pearson correlation tests were conducted between each change to examine the impact of efficiency ranks in the previous stage on subsequent stages. An indicator was developed to judge epidemic stability and was applied to practical cases involving lifting travel restrictions and restarting the economy in some countries. The results showed that Korea and Australia performed with the highest efficiency in preventing the diffusion of COVID-19 for the whole period covering 120 days since the first confirmed case, while the USA ranked at the bottom. China, Japan, Korea and Australia were judged to have recovered from the attack of COVID-19 due to higher epidemic stability.

scholarly journals Calculating the Impact of Trade on Aspects of Human Development in Central Europe Using Data Envelopment Analysis

Ekonomika ◽  
2005 ◽  
Vol 70 ◽  
Author(s):  
Joseph M. Nowakowski
Keyword(s):  
Data Envelopment Analysis ◽  
Life Expectancy ◽  
Human Development ◽  
Central Europe ◽  
Data Envelopment ◽  
Use Of Resources ◽  
Resource Endowment ◽  
The World ◽  
Using Data ◽  
The Impact

Three equally weighted variables, material output life expectancy and literacy. comprise the widely used comprehensive measure of development known as the Human Development Index (HDI). Although the level of development for a society is constrained by its resource endowment traditional HDI calculations ignore this. Economic theory suggests that international trade leads to a more efficient use of resources and can contribute to economic development. This paper addresses the question of whether trade contributes only to material development, or whether it impacts life expectancy and literacy rates as well, taking into account differences in endowments and attitudes towards outcomes. The HDI values, with outcome flexibility. are calculated for a number of countries using data envelopment analysis, controlling for resource use. Then the impact of trade on different variables is considered. Economies in Central Europe or former Soviet republics, or both, are compared to the rest of the world to identify differences in performance and the influence, if any. of trade on performance. Relative to resource endowments, the subset of nations performs well relative to the rest of the world. Trade is seen to have varying influences in the two regions for certain performance variables.

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