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1

김수영 and Moon-Gil Yoon. "Network DEA 모형과 DEA-window 분석을 이용한 저비용항공사 효율성 분석." Journal of the Aviation Management Society of Korea 17, no. 2 (April 2019): 117–32. http://dx.doi.org/10.30529/amsok.2019.17.2.007.

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2

Shrestha, Milan, Gih-Keong Lau, Anand Asundi, and Zhenbo Lu. "Dielectric Elastomer Actuator-Based Multifunctional Smart Window for Transparency Tuning and Noise Absorption." Actuators 10, no. 1 (January 15, 2021): 16. http://dx.doi.org/10.3390/act10010016.

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Soft actuators are compliant material-based devices capable of producing large deformation upon external stimuli. Dielectric elastomer actuators (DEA) are a type of soft actuator that operates on voltage stimuli. Apart from soft robotics, these actuators can serve many novel applications, for example, tunable optical gratings, lenses, diffusers, smart windows and so on. This article presents our current work on tunable smart windows which can regulate the light transmittance and the sound absorption. This smart window can promote daylighting while maintaining privacy by electrically switching between transparent and opaque. As a tunable optical surface scatters, it turns transparent with smooth surfaces like a flat glass; but it turns ‘opaque’ (translucent) with the micro-rough surface. The surface roughness is varied employing surface micro-wrinkling or unfolding using dielectric elastomer actuation. Moreover, this smart window is equipped with another layer of transparent micro-perforated dielectric elastomer actuator (DEA), which acts like Helmholtz resonators serving as a tunable and broader sound absorber. It can electrically tune its absorption spectrum to match the noise frequency for maximum acoustic absorption. The membrane tension and perforation size are tuned using DEA activation to tune its acoustic resonant frequency. Such a novel smart window can be made as cheap as glass due to its simple all-solid-state construction. In future, they might be used in smart green buildings and could potentially enhance urban livability.
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3

Park, Man Hee. "The Determination Method of Optimal Window Length in DEA Window Analysis." Academic Society of Global Business Administration 16, no. 3 (June 30, 2019): 185–200. http://dx.doi.org/10.38115/asgba.2019.16.3.185.

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4

AlKhars, Mohammed A., Ahmad H. Alnasser, and Taqi AlFaraj. "A Survey of DEA Window Analysis Applications." Processes 10, no. 9 (September 12, 2022): 1836. http://dx.doi.org/10.3390/pr10091836.

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This article aims to review, analyze, and classify the published research applications of the Data Envelopment Analysis (DEA) window analysis technique. The number of filtered articles included in the study is 109, retrieved from 79 journals in the web of science (WoS) database during the period 1996–2019. The papers are classified into 15 application areas: energy and environment, transportation, banking, tourism, manufacturing, healthcare, power, agriculture, education, finance, petroleum, sport, communication, water, and miscellaneous. Moreover, we present descriptive statistics related to the growth of publications over time, the journals publishing the articles, keyword terms used, length of articles, and authorship analysis (including institutional and country affiliations). To the best of the authors knowledge, this is the first survey reviewing the literature of the DEA window analysis applications in the 15 areas mentioned in the paper.
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5

Shawtari, Fekri Ali, Milad Abdelnabi Salem, and Izzeldin Bakhit. "Decomposition of efficiency using DEA window analysis." Benchmarking: An International Journal 25, no. 6 (August 6, 2018): 1681–705. http://dx.doi.org/10.1108/bij-12-2016-0183.

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Purpose The purpose of this paper is to examine empirically the efficiency types of Islamic and conventional banks. It seeks to show whether the efficiency level of conventional and Islamic banks significantly differs from each other. In addition, it investigates the influential factors on each type of efficiency. Design/methodology/approach The paper utilises the data envelopment analysis in its windows version to estimate the efficiency scores reflecting the time variance and compares between banking models. The paper uses pure technical efficiency (TE) and scale efficiency to achieve the objective of the study. In addition, the panel data technique is adopted to assess the determinants of the efficiency of the banks econometrically. Findings The findings of panel regression initially indicate that the pure TE is higher for conventional banks compared to Islamic banks. However, the Islamic banks are more scale efficient than their conventional counterpart. Macro and micro indicators have different impacts on the both types of efficiency. However, the unique factors that show consistent influence on the efficiency types were loans/finance, non-interest income/finance/liquidity and GDP. Furthermore, the determinants are shaped differently for Islamic and conventional banks when the banking model is controlled for. Originality/value This paper examines the efficiency types using a unique window analysis approach to examine the types of efficiency with a longitudinal set of data from 1996 to 2011.
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6

Gupta, Seema. "Dynamic DEA Model using Window Analysis Approach with Weight Modeling." Journal of Scientific Research 66, no. 04 (2022): 100–106. http://dx.doi.org/10.37398/jsr.2022.660414.

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This paper study dynamic DEA model and proposes weight modeling in window analysis for multi-time period performance evaluation. It uses the weights of inputs and outputs generated as a result of static temporal efficiency evaluation to restrict weight flexibility in dynamic DEA model and observe the efficiencies, thus obtained, over multi-time period. First the optimal range of weights are determined and then it is being applied in different windows to observe the stability and consistency of efficiency evaluations. We also define consistent efficiency index and give numerical illustration to observe the working of proposed model.
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7

Ghobadi, S., G. R. Jahanshahloo, F. Hosseinzadeh Lotfi, and M. Rostamy-Malkhalifeh. "Efficiency Measure Under Inter-Temporal Dependence." International Journal of Information Technology & Decision Making 17, no. 02 (March 2018): 657–75. http://dx.doi.org/10.1142/s0219622018500050.

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In this paper, a linear programming (LP) model is proposed to estimate the efficiency of a decision-making unit (DMU) in the framework of dynamic Data Envelopment Analysis (DEA). Necessary and sufficient conditions required for characterizing dynamically efficient paths are established. An LP model is proposed to estimate the dynamic cost efficiency (DCE) measure. It is proved that the aggregate CE in an assessment window is a convex combination of CEs of available periods in the assessment window. In addition, it is shown that a DMU in an assessment window is dynamically efficient when the DMU is dynamically cost/revenue efficient. Mathematical relationships between relative, cost, revenue, and profit efficiencies are studied in the framework of dynamic DEA.
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8

DIKE, IJ. "DEA Window Analysis Efficiency Measurement of Selected Nigerian Bank." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 4, no. 1 (August 20, 2021): 176–84. http://dx.doi.org/10.46912/napas.196.

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This study analyzes the performance efficiency of six selected banks in Nigeria for the period 2010 – 2016. DEA window analysis was employed to establish the performance efficiency of the selected banks. The analysis is based on panel data for the period under review. The result of the DEA window analysis for the reviewed period showed that the average efficiency scores under constant returns to scale ranged from 84% to 91%. Under the variable returns to scale, the average efficiency scores ranged from 91% to 95%. The average inefficiency of the selected Nigeria commercial banks under the constant returns to scale model was in the range 9 – 16%. This inefficiency could be attributed to the excess of customers deposits on the balance sheet of the selected banks. The average scale efficiency for the banks was 93%. Guaranty Trust Bank was the most efficient bank on all measures. United Bank for Africa was the most inefficient bank under constant returns to scale and variable returns to scale. It was however, more scale efficient than three other banks, an indication that its inefficiency cannot be attributed to inappropriate scale size.
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9

Kim, Jin Se, and Sang Joon Lee. "A Static and Dynamic Efficiency Analysis on the Korean Professional Football Club Using DEA and DEA Window." Korean Journal of Sport Management 27, no. 1 (February 28, 2022): 49–68. http://dx.doi.org/10.31308/kssm.27.1.49.

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10

Park, Man Hee. "Development and Application of DEA Window System with Dealing Negative Values." Journal of Korea Service Management Society 23, no. 3 (September 30, 2022): 28–48. http://dx.doi.org/10.15706/jksms.2022.23.3.002.

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11

Ni'mah, Fadlilatun, and Nisful Laila. "Apakah Bank Syariah di Indonesia Tergolong Efisien? (Dea Window Analysis)." Jurnal Ekonomi Syariah Teori dan Terapan 9, no. 2 (March 31, 2022): 182–91. http://dx.doi.org/10.20473/vol9iss20222pp182-191.

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The purpose of this study is to analyze the level of efficiency of Islamic commercial banks in Indonesia for the period 2015 - 2019. This study uses a quantitative approach with the DEA Window Analysis method. The results of this study state that the average score for the efficiency of Islamic Commercial Banks in 2015-2019 assuming CRS is 90%, while the average efficiency score for the assumption of VRS is 96%. The best efficiency measurement for 2015-2019 is the assumption of Variable Return to Scale (VRS), because in the VRS assumption there are Islamic commercial banks that have an efficient score. Bank Mandiri Syariah and Bank Victoria Syariah, on the assumption of VRS, are the banks that have the efficiency score and are the most stable compared to other banks.
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12

Birafane, Mahdi, and Moad El Abdi. "Efficiency of Moroccan Seaports: Application of DEA Using Window Analysis." Engineering 11, no. 02 (2019): 107–18. http://dx.doi.org/10.4236/eng.2019.112009.

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13

Lee, Hyung-Suk, and Ki-Seog Kim. "Measuring Relative Efficiency of Korean Life Insurance Companies Employing DEA/Window Model." Journal of the Korea Contents Association 8, no. 5 (May 31, 2008): 192–206. http://dx.doi.org/10.5392/jkca.2008.8.5.192.

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14

Krstić, Ana, Milena Jaksić, Predrag Mimović, and Danijela Tadić. "Dynamic analysis of macroeconomic performance of the Balkan countries." Acta Oeconomica 72, no. 3 (September 21, 2022): 367–91. http://dx.doi.org/10.1556/032.2022.00027.

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Abstract The paper presents the application of a non-parametric data envelopment analysis (DEA) technique for measuring the macroeconomic performance of the Balkan countries. In this context, for the period of 2006–2018, a dynamic DEA Window model was applied based on selected macroeconomic indicators as input and output variables. For a more comprehensive and objective analysis, the DEA Window analysis is complemented by a Malmquist productivity index that provides a more complete picture of the observed entities' performance and shows a trend of change from period to period. The results showed that in the observed period, Albania and to a large extent Montenegro, especially after the end of the global financial crisis, had the highest average efficiency, that is, they used the available resources effectively to increase the GDP growth rates. The EU Member States, Greece and Croatia, in particular, achieved the highest growth in overall productivity over the observed period, and this growth was largely due to a change in technical efficiency.
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15

Kim, Chulhyun. "Identification of important technology-based services through ANP and DEA window analysis." Journal of the Korea Management Engineers Society 23, no. 3 (September 30, 2018): 35–55. http://dx.doi.org/10.35373/kmes.23.3.3.

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16

Kim, Tae Il, and Sung Hwa Park. "Evaluation of the Efficiency of Korea’s Domestic Passenger Shipping Routes using DEA Window." Journal of Korea Port Economic Association 38, no. 1 (March 31, 2022): 113–27. http://dx.doi.org/10.38121/kpea.2022.3.38.1.113.

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17

Chun, Hoon, and Hakyeon Lee. "Measuring Operational Efficiency of Korean Online Game Companies with DEA Window Analysis." Journal of the Korean Operations Research and Management Science Society 39, no. 3 (September 30, 2014): 23–40. http://dx.doi.org/10.7737/jkorms.2014.39.3.023.

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18

Klumpp, Matthias, and Dominic Loske. "Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis." International Journal of Environmental Research and Public Health 18, no. 5 (February 24, 2021): 2219. http://dx.doi.org/10.3390/ijerph18052219.

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Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.
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19

Shrestha, Milan, Gih-Keong Lau, Anand Asundi, and Zhenbo Lu. "Multifunctional Smart Window Based on Dielectric Elastomer Actuator." Proceedings 64, no. 1 (November 21, 2020): 32. http://dx.doi.org/10.3390/iecat2020-08509.

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Soft actuators are compliant material-based devices capable of producing large deformations upon external stimuli. Dielectric elastomer actuators (DEAs) are a type of soft actuators that operate on voltage stimuli. Apart from soft robotics, these actuators can serve many novel applications, such as tunable optical gratings, lens, diffusers, smart windows and so on. This article presents our current work on tunable smart windows which can regulate light transmittance and sound absorption. This smart window can promote daylighting while maintaining privacy by electrically switching between being transparent and opaque. As a tunable optical surface scatters, it turns transparent with smooth surfaces like a flat glass; however, it turns opaque (translucent) with the micro-rough surface. The surface roughness is varied, employing surface microwrinkling or unfolding by using dielectric elastomer actuation. In addition, this smart window is equipped with another layer of transparent microperforated dielectric elastomer actuators (DEAs), which act like Helmholtz resonators, serving as a tunable and broader sound absorber. It can electrically tune its absorption spectrum to match the noise frequency for maximum acoustic absorption. The membrane tension and perforation size are tuned using DEA activation to tune its acoustic resonant frequency. Such a novel smart window can be made as cheap as glass due to its simple, all-solid-state construction. In the future, they might be used in smart green building and could potentially enhance urban livability.
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20

Webb, Robert. "Levels of efficiency in UK retail banks: a DEA window analysis." International Journal of the Economics of Business 10, no. 3 (November 2003): 305–22. http://dx.doi.org/10.1080/1357151032000126256.

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21

Huang, Jing Jing. "Multiscale Diffusion Entropy Analysis on Traffic Index Series." Applied Mechanics and Materials 556-562 (May 2014): 3553–57. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3553.

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In this paper, we present a multiscale diffusion entropy analysis (DEA) for describing the traffic fractal dynamics with a spectrum of scale exponents . The method combines DEA with moving fitting window to analyze the traffic index (TI) series in different scales and shows more details of scale properties and provides a reliable analysis. We also quantify the effects of weather, traffic peaks on scale spectrum. The results indicate clearly that at large scales, the exponents show large volatility and they all have their own scale patterns. The multiscale DEA method provides new ways to measure the TI series and distinguishes groups in different conditions.
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22

RATNER, Svetlana, and Pavel RATNER. "DEA-BASED DYNAMIC ASSESSMENT OF REGIONAL ENVIRONMENTAL EFFICIENCY." Applied Computer Science 13, no. 2 (June 30, 2017): 48–60. http://dx.doi.org/10.35784/acs-2017-13.

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We apply window Data Envelopment Analysis (DEA) to the solution of the problem of assessment of the efficiency of regional production systems in Southern Russia. The proposed method allows to monitor the changes in efficiency of regional economic systems throughout time and has a high discrimination power. The simplicity of the technical implementation of the proposed method and the availability of the necessary software for its use allow one to hope for its wide implementation in the modern practice of regional environmental management.
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23

Wulan Sari, Dyah, Lusi Sulistyaningsih, Haura Azzahra Tarbiyah Islamiya, and Wenny Restikasari. "INTERTEMPORAL EFFICIENCY AND PRODUCTIVITY CHANGING ON TELECOMMUNICATION INDUSTRY (TI) IN ASEAN-5." Journal of Developing Economies 6, no. 1 (June 1, 2021): 123. http://dx.doi.org/10.20473/jde.v6i1.21665.

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The study aims to measure the technical and intertemporal efficiency and find the primary source of productivity change on top three telecommunication firms in each country of ASEAN-5 (Indonesia, Malaysia, Thailand, Philippines, and Singapore) from 2010 to 2016. Data Envelopment Analysis (DEA) bootstrapping with 2000 iterations, DEA window, and Malmquist index are applied to calculate technical efficiency, intertemporal efficiency, and productivity change. The estimation results elucidate that, on average, the technical efficiency of firms is relatively low. On the opposite, the intertemporal efficiency results indicate that the mean efficiency score of each window is high. However, the LDW and LDP tend to be high, showing that the efficiency scores fluctuate. The Malmquist index calculation yields that technological progress possesses a significant contribution to productivity change.Keywords: Technical Efficiency, Intertemporal Efficiency, Productivity Change, Telecommunication Industry, ASEAN-5 JEL Classifications: L8, F6, O5, O1, O3
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24

Lin, Shoufu, Ji Sun, Dora Marinova, and Dingtao Zhao. "Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width." Technology Analysis & Strategic Management 30, no. 10 (April 2, 2018): 1166–81. http://dx.doi.org/10.1080/09537325.2018.1457784.

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25

Đurić, Zlata, Milena Jakšić, and Ana Krstić. "DEA Window Analysis of Insurance Sector Efficiency in the Republic of Serbia." Economic Themes 58, no. 3 (September 1, 2020): 291–310. http://dx.doi.org/10.2478/ethemes-2020-0017.

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Abstract Insurance market is characterized by growing competition. This has imposed needs relating to the continuous capacity building of insurance companies, the continuous improvement of operating results and the assessment of the effects of insurers’ financial investment. The ultimate goal of these activities is to implement the planned goals and achieve positive business results. It is evident that the financial stability and efficiency of the insurance sector strengthens the confidence of citizens in this type of financial intermediaries. Bearing in mind the importance of the insurance sector for the financial system and economic system growth and development, the research subject is the analysis of the insurance sector efficiency in the Republic of Serbia. The main research objective is to look at the insurance sector efficiency through the performance analysis of nine selected insurance companies in the period 2007-2018, using DEA window analysis. The analysis and systematization of theoretical research findings, along with empirical data interpretation, description and comparison yielded results pointing to very poor performance of the insurance sector as a whole, because in all years of the observed period the relative average efficiency (technical, pure technical and scale efficiency) was below 100%, especially in the period 2015-2018.
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Wang, Chia-Nan, Thanh-Tuan Dang, Hector Tibo, and Duy-Hung Duong. "Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model." Symmetry 13, no. 2 (February 18, 2021): 334. http://dx.doi.org/10.3390/sym13020334.

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Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.
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안치원 and Hun-Koo Ha. "Analysis of the Efficiency trends of the global railways using DEA Window." Korean Journal of Logistics 22, no. 4 (December 2014): 89–100. http://dx.doi.org/10.15735/kls.2014.22.4.006.

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28

Yang, Hsu-Hao, and Cheng-Yu Chang. "Using DEA window analysis to measure efficiencies of Taiwan's integrated telecommunication firms." Telecommunications Policy 33, no. 1-2 (February 2009): 98–108. http://dx.doi.org/10.1016/j.telpol.2008.11.001.

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Řepková, Iveta. "Efficiency of the Czech Banking Sector Employing the DEA Window Analysis Approach." Procedia Economics and Finance 12 (2014): 587–96. http://dx.doi.org/10.1016/s2212-5671(14)00383-9.

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30

Li, Bianfang. "Analysis of the efficiency of regional tourism based on DEA window technology." Chinese Journal of Population Resources and Environment 12, no. 4 (October 2, 2014): 354–60. http://dx.doi.org/10.1080/10042857.2014.972070.

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31

Zhou, Zhixiang, Ya Chen, Pingfan Song, and Tao Ding. "China's urban air quality evaluation with streaming data: A DEA window analysis." Science of The Total Environment 727 (July 2020): 138213. http://dx.doi.org/10.1016/j.scitotenv.2020.138213.

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32

Kyrgiakos, Leonidas Sotirios, George Vlontzos, and Panos M. Pardalos. "Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA." Energies 14, no. 4 (February 16, 2021): 1021. http://dx.doi.org/10.3390/en14041021.

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Providing food security while preserving natural resources and reducing the use of production factors (land, labor, and capital), is a critical challenge for EU agricultural sectors in the 21st century. Sustainable Development goals adoption has increased the need for eliminating Greenhouse gas emissions across all EU sectors, while production should remain stable or even increase. For this purpose, Window Data Envelopment Analysis (DEA) has been selected as a benchmarking technique, in order to assess input use efficiency of agricultural sectors of EU countries for the 2005–2019 period. Moreover, three-year projections (until 2022) have been calculated in order to acquire future efficiency scores. Emphasis has been given on the selection of alternative window widths, examining their influence on calculating efficiency scores for both projected and actual dataset. From a methodological point of view, this paper aims to highlight the assumption of zero technological change within Window DEA frames and present their differences. At the same time, results indicate that Estonia (1.000), the Netherlands (0.999) and Slovenia (0.999) are the most efficient countries in terms of input use efficiency, while Finland, UK, and Hungary (0.670, 0.755 and 0.771) score the least. Countries of central Europe (Hungary, Czech Rep., Croatia, Slovakia, and Austria) should redesign their agricultural strategies, so as to achieve the nine objectives of the upcoming CAP (2021–2027).
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Han, Ha-Neul. "Trends in the Efficiency of Korean National University Libraries : A DEA/Window Analysis Approach." Journal of Information Management 40, no. 3 (September 30, 2009): 41–60. http://dx.doi.org/10.1633/jim.2009.40.3.041.

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34

Ferraz, Diogo, Herick Fernando Moralles, Jessica Suárez Campoli, Fabíola Cristina Ribeiro de Oliveira, and Daisy Aparecida do Nascimento Rebelatto. "Economic Complexity and Human Development: DEA performance measurement in Asia and Latin America." Gestão & Produção 25, no. 4 (June 7, 2018): 839–53. http://dx.doi.org/10.1590/0104-530x3925-18.

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Abstract Economic growth is not the only factor to explain human development. Therefore, many authors have prioritized studies to measure the Human Development Index. However, these indexes do not analyze how Economic Complexity can increase Human Development. This paper aimed to determine how efficiently nations from Latin America and Asia measure a country’s performance in converting Economic Complexity into Human Development, between 2010 and 2014. We used Data Envelopment Analysis (DEA), through the Variable Returns of Scale (VRS) Model and Window Analysis. Results showed that in 2014, all Asian countries, except China and the Philippines, were efficient; on the other hand Cuba was the benchmark for inefficient countries. Window Analysis showed Japan, South Korea and Singapore were efficient over time. This result confirms the initial hypothesis of this article: the more complex countries are the more efficiently they create Human Development.
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35

QIN, Zhong, Jia-En ZHANG, Shi-Ming LUO, and Jin ZHANG. "Evaluation on agricultural production efficiency of Guangdong Province by using DEA window analysis." Chinese Journal of Eco-Agriculture 19, no. 6 (February 15, 2012): 1448–54. http://dx.doi.org/10.3724/sp.j.1011.2011.01448.

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36

Farantos, Georgios I., and Nikitas-Spiros Koutsoukis. "Greek health system efficiency and productivity: A window DEA and Malmquist method measurement." Journal of Future Sustainability 2, no. 3 (2022): 113–24. http://dx.doi.org/10.5267/j.jfs.2022.10.001.

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To calculate the change in the values of efficiency and productivity of public hospitals in Greece during the period 2015 to 2019. The calculation of the efficiency values includes the technical, pure and scale efficiency using the window-DEA method and the productivity change using the Malmquist index. The source of the data used to calculate the change in the efficiency of Greek public hospitals is the statistical databases of the Greek Ministry of Health that have resulted from the collection of data through Information Systems in combination with data provided by the Greek Statistical Authority (ELSTAT). The design of the study was based on the realization of a Window DEA study and the calculation of the Malmquist index with its components. The study was designed to measure the change in efficiency and productivity but over a relatively long period of time. The data were obtained from the databases of both financial and operational data of Greek Public Hospitals held by the Greek Ministry of Health and located on the Ministry’s website. Also, additional data were requested and obtained from ELSTAT. The data were examined and those which were appropriate for the conduct of the study were selected. The technical efficiency of Greek hospitals follows a slightly upward trend with ups and downs. Their pure efficiency follows a steady course with ups and downs. Scale efficiency is on an upward course. Productivity exhibits an overall negligible change. The research’s fluctuation of the inputs and outputs determines the change in the values of efficiency and, in combination with technological change, of productivity. During the period under study, the best placement of Greek hospitals on the scale is achieved in terms of their size. Hospital management cannot achieve better utilization of resources. A parallel increase of some of the inputs and outputs prevents increase in the values of technical and pure efficiency. The change in efficiency constrains the change in productivity.
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37

Zeitun, Rami, Khalid S. Abdulqader, and Khaled A. Alshare. "On the relative efficiency of conventional and Islamic banks: a DEA-window approach." International Journal of Financial Services Management 6, no. 3 (2013): 236. http://dx.doi.org/10.1504/ijfsm.2013.058070.

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38

Wang, Ke, Shiwei Yu, and Wei Zhang. "China’s regional energy and environmental efficiency: A DEA window analysis based dynamic evaluation." Mathematical and Computer Modelling 58, no. 5-6 (September 2013): 1117–27. http://dx.doi.org/10.1016/j.mcm.2011.11.067.

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Al-Refaie, Abbas, Chien-Wei Wu, and Moaath Sawalheh. "DEA window analysis for assessing efficiency of blistering process in a pharmaceutical industry." Neural Computing and Applications 31, no. 8 (January 5, 2018): 3703–17. http://dx.doi.org/10.1007/s00521-017-3303-2.

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Cvetkoska, Violeta, and Katarina Fotova Cikovic. "Assessing the relative efficiency of commercial banks in the Republic of North Macedonia: DEA window analysis." Croatian Operational Research Review 11, no. 2 (2020): 217–27. http://dx.doi.org/10.17535/crorr.2020.0017.

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The aim of this paper is to assess the relative efficiency of commercial banks in one developing country, i.e. the Republic of North Macedonia by using the data envelopment analysis (DEA) technique-window analysis. The selection of inputs and outputs plays a key role when applying DEA for assessing the efficiency of decision-making units (DMUs). In the conducted research two inputs and two outputs have been selected. The sample consists of 14 commercial banks and the period that is being observed is an eleven year span from 2007 to 2017. According to the average efficiency score for the whole observed period, the most efficient bank belongs to the group of large banks, which simultaneously shows the highest efficiency. The banking sector in the Republic of North Macedonia, as a whole, showed the highest efficiency in 2007, and the lowest efficiency in 2011.
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Masuda, Kiyotaka. "Eco-Efficiency Assessment of Intensive Rice Production in Japan: Joint Application of Life Cycle Assessment and Data Envelopment Analysis." Sustainability 11, no. 19 (September 28, 2019): 5368. http://dx.doi.org/10.3390/su11195368.

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To promote sustainable agriculture worldwide, it is important to understand what constitutes eco-efficiency for rice, a staple food in many countries. This study examined whether expanding the scale of rice farming contributed to the improved eco-efficiency of intensive rice production in Japan. Both life cycle assessment (LCA) and data envelopment analysis (DEA) were used to measure comprehensively the eco-efficiency of rice production. A DEA window analysis technique with two DEA inputs (global warming and eutrophication from the LCA results) and one DEA output (weight-based rice yield) was applied to the statistical data for 2005–2011 categorized by the size of rice farms. The results indicate that expanding the size of rice farms is an effective way of improving the eco-efficiency of intensive rice production in Japan. The important factors for improving eco-efficiency are the implementation of economies of scale, reduced outsourcing of farm work, and savings in chemical fertilizers and pesticides. Expansion of the size of rice farms through the recent abolition of the rice production adjustment program will also contribute to improving the eco-efficiency of Japanese rice production.
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Wang, Chia-Nan, Tsang-Ta Tsai, Hsien-Pin Hsu, and Le-Hoang Nguyen. "Performance Evaluation of Major Asian Airline Companies Using DEA Window Model and Grey Theory." Sustainability 11, no. 9 (May 13, 2019): 2701. http://dx.doi.org/10.3390/su11092701.

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Being an essential part of the global transport system, airline transportation is capable of delivering fast service for passengers and commodities. In the past decade, the Asia aviation industry has experienced a high growth rate of transport due to higher economic development in this area, and this trend is expected to continue in the next two decades. However, competition in the Asia aviation industry will increase dramatically. To survive in the Asia aviation industry, the Asia airline companies should understand their current and future performance. A methodology for this purpose is required. This paper proposes a hybrid approach, combining Grey model GM(1,1) and Data Envelopment Analysis (DEA) Window model, to satisfy this need. The hybrid approach proposed in this research has been used to evaluate the current and future performance of 16 major Asia airline companies. The DEA Window analysis showed that airline companies Emirates, Cebu Pacific, and Sri Lankan were leading companies in the time period of 2012 to 2016, while Singapore Airlines, Japan Airlines, and All Nippon Airways followed behind. We found that Chinese airline corporations are rising in the Asia aviation industry. All 16 Asia airline companies studied in the research were found to improve their productivity in the time period of 2017 to 2021 as their Malmquist productivity indexes (MPIs) are greater than 1.
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현정원. "Technical, Allocative, and Overall Advertising Efficiencies of Korean Pharmaceutical Firms by DEA Window Analysis." Productivity Review 25, no. 3 (September 2011): 29–48. http://dx.doi.org/10.15843/kpapr.25.3.201109.29.

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KUMAR, Ashish, Nakul ANAND, and Vikas BATRA. "Trends in Indian Private Sector Bank Efficiency: Non-Stochastic Frontier DEA Window Analysis Approach." Journal of Asian Finance, Economics and Business 7, no. 10 (October 31, 2020): 729–40. http://dx.doi.org/10.13106/jafeb.2020.vol7.n10.729.

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CHUNG, S., A. LEE, H. KANG, and C. LAI. "A DEA window analysis on the product family mix selection for a semiconductor fabricator." Expert Systems with Applications 35, no. 1-2 (July 2008): 379–88. http://dx.doi.org/10.1016/j.eswa.2007.07.011.

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Halkos, George Emm, and Nickolaos G. Tzeremes. "Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis." Ecological Economics 68, no. 7 (May 2009): 2168–76. http://dx.doi.org/10.1016/j.ecolecon.2009.02.018.

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Putthithanas, Pimpaka, Supan Yodyingyong, Jeerapond Leelawattanachai, Wannapong Triampo, Noppakun Sanpo, Jaturong Jitputti, and Darapond Triampo. "Effect of Morphology on Near-Infrared Shielding Properties of Aluminum-Doped ZnO by Solvothermal Synthesis." Materials Science Forum 1007 (August 2020): 148–53. http://dx.doi.org/10.4028/www.scientific.net/msf.1007.148.

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In this work, aluminum-doped ZnO (AZO) is synthesized for heat-shielding applications. A family of ethanolamine (EA: monoethanolamine (MEA), diethanolamine (DEA), and triethanolamine TEA)) is used to control the morphology of aluminum-doped ZnO (AZO) synthesized via a simple solvothermal method at the temperature of 120°C for 6 h. The samples were characterized by field-emission scanning electron microscopy (FE-SEM). The formation of primary ZnO nanoparticles (NPs) showed that TEA yielded highly packed-spherical aggregates not found when DEA and MEA were used. X-ray diffraction (XRD) found that all AZO samples have peaks of the ZnO hexagonal wurtzite structure. XRD patterns of aluminum were found for >10 mol%. UV-Vis-NIR spectrophotometer was used to study the optical property and heat-shielding of the near-infrared region (NIR, the wavelength from 700 - 2500 nm). All AZO NPs of 0, 2, 4, and 10 mol% exhibited strong NIR shielding ability up to 80% insulation. From these results, the AZO NPs have potential use as NIR shielding materials of low-cost and simple processes to be coated on an energy-efficient window as smart window coating in buildings and automotive thus reducing energy consumption, especially in air conditioning usage.
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Wang, Chia-Nan, Fu-Chiang Yang, Nhut T. M. Vo, and Van Thanh Tien Nguyen. "Wireless Communications for Data Security: Efficiency Assessment of Cybersecurity Industry—A Promising Application for UAVs." Drones 6, no. 11 (November 19, 2022): 363. http://dx.doi.org/10.3390/drones6110363.

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The design of cooperative applications combining several unmanned aerial and aquatic vehicles is now possible thanks to the considerable advancements in wireless communication technology and the low production costs for small, unmanned vehicles. For example, the information delivered over the air instead of inside an optical fiber causes it to be far simpler for an eavesdropper to intercept and improperly change the information. This article thoroughly analyzes the cybersecurity industry’s efficiency in addressing the rapidly expanding requirement to incorporate compelling security features into wireless communication systems. In this research, we used a combination of DEA window analysis with the Malmquist index approach to assess the efficiency of the cybersecurity industry. We used input and output factors utilizing financial data from 2017–2020 sources from a US market. It was found that U1—Synopsys and U9—Fortinet exhibited the best performances when relating Malmquist and DEA window analysis. By evaluating ten big companies in the cybersecurity industry, we indicate that U2—Palo Alto Networks and U6—BlackBerry Ltd. companies needed significant improvements and that four other companies were generally more efficient. The findings of this study provide decision-makers a clear image and it will be the first study to evaluate and predict the performance of cyber security organizations, providing a valuable reference for future research.
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VOLKAN SONER, OZSOY, and PEHLIVANLI EDIB ALI. "A Window DEA Based Efficiency Evaluation of the Public Airports in Turkey: 2014–2019 Case." ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH 56, no. 2/2022 (June 20, 2022): 195–210. http://dx.doi.org/10.24818/18423264/56.2.22.13.

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Savic, Gordana, Marko Radosavljevic, and Danijel Ilijevski. "DEA Window Analysis Approach for Measuring the Efficiency of Serbian Banks Based on Panel Data." Management - Journal for theory and practice of management 17, no. 65 (December 1, 2012): 5–14. http://dx.doi.org/10.7595/management.fon.2012.0028.

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