Productivity Growth and Efficiency Measurements in Fuzzy Environments with an Application to Health Care

2012 ◽  
Vol 2 (2) ◽  
pp. 1-35 ◽  
Author(s):  
Adel Hatami-Marbini ◽  
Madjid Tavana ◽  
Ali Emrouznejad
Keyword(s):  
Health Care ◽  
Best Practice ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Analysis ◽  
Real World Data ◽  
Productivity Measurement ◽  
State Office ◽  
Mathematical Programming Method

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. The Malmquist productivity index (MPI) is widely used for productivity analysis by relying on constructing a best practice frontier and calculating the relative performance of a DMU for different time periods. The conventional DEA requires accurate and crisp data to calculate the MPI. However, the real-world data are often imprecise and vague. In this study, the authors propose a novel productivity measurement approach in fuzzy environments with MPI. An application of the proposed approach in health care is presented to demonstrate the simplicity and efficacy of the procedures and algorithms in a hospital efficiency study conducted for a State Office of Inspector General in the United States.

Business: The Electronic Health Record: Front Line Experience

2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Record ◽  
Financial Incentives ◽  
Best Practice ◽  
Health Care Systems ◽  
The United States ◽  
Health Record ◽  
Health Trends ◽  
Electronic Health

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.

scholarly journals Dual Efficiency and Productivity Analysis of Renewable Energy Alternatives of OECD Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7401
Author(s):  
Sedef E. Kara ◽  
Mustapha D. Ibrahim ◽  
Sahand Daneshvar
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Wind Energy ◽  
Oecd Countries ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Productivity Analysis ◽  
Average Efficiency ◽  
Efficiency And Productivity

This paper examines the dual efficiency of bioenergy, renewable hydro energy, solar energy, wind energy, and geothermal energy for selected OECD countries through an integrated model with energy, economic, environmental, and social dimensions. Two questions are explored: Which renewable energy alternative is more dual efficient and productive? Which renewable energy alternative is best for a particular country? Data envelopment analysis (DEA) is used for the efficiency evaluation, and the global Malmquist productivity index is applied for productivity analysis. Results indicate bioenergy as the most efficient renewable energy alternative with a 20% increase in average efficiency in 2016 compared to 2012. Renewable hydro energy, wind energy, and solar energy show a 17.5%, 16%, and 11% increase, respectively. The average efficiency growth across all renewable energy alternatives signifies major advancement. Country performance in renewable energy is non-monolithic; therefore, they should customize their renewable energy portfolio accordingly to their strengths to enhance renewable energy efficiency. Renewable hydro appears to have the most positive productivity change in 2016 compared to 2012, while solar energy regressed in productivity due to its scale inefficiency. All renewable energy alternatives have relatively equal average pure efficiency change. The positive trend in efficiency and productivity provides an incentive for policy makers to pursue further development of renewable energy technologies with a focus on improving scale efficiency.

scholarly journals PRODUCTIVITY ANALYSIS OF PUBLIC HOSPITALS IN CAMEROON: A MALMQUIST PRODUCTIVITY INDEX APPROACH.

2016 ◽  
Vol 4 (7) ◽  
pp. 1718-1725
Author(s):  
BeriParfaitB. (M.Sc.) ◽  
◽  
MolemC. Sama ◽  
OfehMosesAbit (Ph.D.) ◽  
◽  
...  
Keyword(s):  
Public Hospitals ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Analysis ◽  
Index Approach

scholarly journals Malmquist Productivity Analysis of Top Global Automobile Manufacturers

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 580
Author(s):  
Chia-Nan Wang ◽  
Hector Tibo ◽  
Hong Anh Nguyen
Keyword(s):  
Organizational Performance ◽  
Automobile Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
General Motors ◽  
Net Income ◽  
Productivity Analysis ◽  
Continuous Growth ◽  
Equity Cost ◽  
The Many

The automobile industry is one of the largest economies in the world, by revenue. Being one of the industries with higher employment output, this has become a major determinant of economic growth. In view of the declining automobile production after a period of continuous growth in the 2008 global auto crisis, the re-evaluation of automobile manufacturing is necessary. This study applies the Malmquist productivity index (MPI), one of the many models in the Data Envelopment Analysis (DEA), to analyze the performance of the world’s top 20 automakers over the period of 2015–2018. The researchers assessed the technical efficiency, technological progress, and the total factor productivity of global automobile manufacturers, using a variety of input and output variables which are considered to be essential financial indicators, such as total assets, shareholder’s equity, cost of revenue, operating expenses, revenue, and net income. The results show that the most productive automaker on average is Volkswagen, followed by Honda, BAIC, General Motors, and Suzuki. On the contrary, Mitsubishi and Tata Motors were the worst-performing automakers during the studied period. This study provides a general overview of the global automobile industry. This paper can be a valuable reference for car managers, policymakers, and investors, to aid their decision-making on automobile management, investment, and development. This research is also a contribution to organizational performance measurement, using the DEA Malmquist model.

Robust malmquist productivity measurement: evidence from Spanish hotel industry during the Great Recession

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nickolaos G. Tzeremes
Keyword(s):  
Great Recession ◽  
Hotel Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Productivity Change ◽  
Productivity Measurement ◽  
Content Type ◽  
Crisis Period ◽  
The Great Recession ◽  
Robust Version

PurposeThe purpose of this paper is to provide a robust version of the Malmquist Productivity Index (MPI) in order to evaluate hotels' productivity levels during the Great Recession.Design/methodology/approachBased on the order-m frontiers, we apply a robust version of an MPI. We decompose the productivity into three robust components. We use a sample of hotels operating in the Balearic Islands and Canary Islands, and we decompose and evaluate their productivity levels during the period 2004–2013. Moreover, we evaluate hotels' productivity performance during the pre-crisis period, the US subprime crisis period, the global financial crisis (GFC), the sovereign debt crisis period and the after-crisis period.FindingsOur findings show that productivity did not deteriorate due to the adverse effects of economic crisis. This is mainly driven by increased technical change and the ability to operate at optimal scales. The long-term investment in innovation policies which are related to services and processes, appear to be the dominating feature behind hotels' productivity levels, which helped the hotel industry to recover quickly from the Great Recession.Originality/valueThe vast majority of empirical studies evaluating the productivity change in the hotel industry apply MPIs which are based on data envelopment analysis (DEA). However, the productivity measurement which is based on the nonparametric framework is sensitive to sample characteristics. In order to avoid such shortcomings, we apply a robust version of the MPI.

scholarly journals Analisis Produktivitas dan Faktor-Faktor yang Memengaruhi Efisiensi Asuransi Syariah di Indonesia: Suatu Kajian Empiris

Al-Muzara ah ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 153-171
Author(s):  
Dede Iskandar ◽  
Noer Azam Achsani ◽  
Setiadi Djohar
Keyword(s):  
Market Share ◽  
Life Insurance ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Analysis ◽  
Productivity Level ◽  
General Insurance ◽  
Islamic Insurance ◽  
Efficiency And Productivity

Market share on Islamic Insurance is still very small compared to conventional insurance. Islamic insurance companies must be able to compete with conventional insurance in order to increase their market share. Efficiency and Productivity are factors that must be improved so that Islamic insurance can compete with conventional insurance. This study aims to analyze the level of efficiency and productivity of Islamic insurance during the 2016-2018 period. The study was conducted on 48 Islamic insurance companies consisting of 26 Islamic life insurance companies and 22 Islamic general insurance companies. Efficiency analysis use the Data Envelopment Analysis (DEA) approach and productivity analysis use the Malmquist Productivity Index (MPI). The novelty of this study, among others, involves Islamic general insurance in the productivity analysis which has not been studied so far. The results of the analysis shows that the majority of Islamic life insurance and Islamic general insurance are inefficient during the 2016-2018 period. The size of the company which represents the total assets is the factor that have a positive and significant effect on the efficiency value. The results of the productivity analysis shows that the productivity level of both sharia life insurance and general sharia insurance during the 2016-2018 period is influenced by technological change factors.

scholarly journals Effective Decision Making: Data Envelopment Analysis for Efficiency Evaluation in the Cloud Computing Marketplaces

Axioms ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 309
Author(s):  
Chia-Nan Wang ◽  
Minh-Nhat Nguyen ◽  
Thi-Duong Nguyen ◽  
Hsien-Pin Hsu ◽  
Thi-Hai-Yen Nguyen
Keyword(s):  
Cloud Computing ◽  
Data Envelopment Analysis ◽  
Business Performance ◽  
Service Providers ◽  
The United States ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
The Past ◽  
Cloud Computing Service

Assessing business performance is a critical issue for practicing managers, and business performance has always been of interest to managers and researchers. In recent years, the world has experienced a rapid growth in the cloud computing service sector thanks to its benefits to business organizations and economic development. Therefore, the performance efficiency of this sector has been concerned as one of the keys in today’s economic environment. This study aimed to assess the performance efficiency of cloud computing service providers in the United States of America, one of the biggest global markets in terms of cloud computing, by applying the data envelopment analysis models. The efficiency of cloud computing providers was evaluated based on the assumption of the non-cooperative game among cloud computing providers in which providers selfishly choose the best strategy to maximize their payoff with three stages. In the first stage, the performance of these providers over the past period was measured by a super slack-based measure. In the second stage, the performance in the future period was predicted by the new data envelopment analysis model: the past–present–future model based on resampling. In the last stage, the efficiency improvement was investigated by adopting the Malmquist productivity index. The findings of this study indicated that the percentage of inefficient providers would increase from 10% in the period from 2017 to 2020 to 20% for 2021 and 2024. Moreover, 30% of providers showed a regress in performance efficiency over the research period of 2017 to 2024. The results of this study provide an insight picture to the decision-makers, and this research will fill the gap in the literature as the first study that measures and predicts the performance efficiency of cloud computing service providers, which will provide a helpful reference for future studies.

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