Cite

Azadi, M., Jafarian, M., Saen, R. F., & Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers and Operations Research, 54, 274-285.AzadiM.JafarianM.SaenR. F.&MirhedayatianS. M.2015A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management contextComputers and Operations Research5427428510.1016/j.cor.2014.03.002Search in Google Scholar

Bannick, R. R., & Ozcan, Y. A. (1995). Efficiency analysis of federally funded hospitals: Comparison of DoD and VA hospitals using data envelopment analysis. Health Services Management Research, 8(2), 73-85.BannickR. R.&OzcanY. A.1995Efficiency analysis of federally funded hospitals: Comparison of DoD and VA hospitals using data envelopment analysisHealth Services Management Research82738510.1177/095148489500800201Search in Google Scholar

Buchelt, B. I., Fraczkiewicz-Wronka, A., & Kaminska, R. (2017). Key determinants of human resource management in hospitals: stakeholder perspective. Engineering Management in Production and Services, 9(2), 105-115.BucheltB. I.Fraczkiewicz-WronkaA.&KaminskaR.2017Key determinants of human resource management in hospitals: stakeholder perspectiveEngineering Management in Production and Services9210511510.1515/emj-2017-0020Search in Google Scholar

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.CharnesA.CooperW. W.&RhodesE.1978Measuring the efficiency of decision making unitsEuropean Journal of Operational Research2642944410.1016/0377-2217(78)90138-8Search in Google Scholar

Chen, Y., Wang, J., Zhu, J., Sherman, H. D., & Chou, S. Y. (2017). How the Great Recession affects performance: a case of Pennsylvania hospitals using DEA. Annals of Operations Research, 1-23.ChenY.WangJ.ZhuJ.ShermanH. D.&ChouS. Y.2017How the Great Recession affects performance: a case of Pennsylvania hospitals using DEAAnnals of Operations Research12310.1007/s10479-017-2516-1Search in Google Scholar

Chodakowska, E., & Nazarko, J. (2017a). Environmental DEA Method for Assessing Productivity of European Countries. Technological and Economic Development f Economy, 23(4), 589-607. doi: 10.3846/20294913.2016.1272069ChodakowskaE.&NazarkoJ.2017aEnvironmental DEA Method for Assessing Productivity of European CountriesTechnological and Economic Development f Economy23458960710.3846/20294913.2016.1272069Open DOISearch in Google Scholar

Chodakowska, E., & Nazarko, J. (2017b). Network DEA Models for Evaluating Couriers and Messengers. Procedia Engineering, 182, 106-111. doi: 10.1016/j. proeng.2017.03.130ChodakowskaE.&NazarkoJ.2017bNetwork DEA Models for Evaluating Couriers and MessengersProcedia Engineering18210611110.1016/j.proeng.2017.03.130Open DOISearch in Google Scholar

Chowdhury, H., & Zelenyuk, V. (2016). Performance of hospital services in Ontario: DEA with truncated regression approach. Omega (United Kingdom), 63, 111-122.ChowdhuryH.&ZelenyukV.2016Performance of hospital services in Ontario: DEA with truncated regression approachOmega (United Kingdom)6311112210.1016/j.omega.2015.10.007Search in Google Scholar

Chuang, C.-L., Chang, P.-C., & Lin, R.-H. (2011). An efficiency data envelopment analysis model reinforced by classification and regression tree for hospital performance evaluation. Journal of Medical Systems, 35(5), 1075-1083.ChuangC.-L.ChangP.-C.&LinR.-H.2011An efficiency data envelopment analysis model reinforced by classification and regression tree for hospital performance evaluationJournal of Medical Systems3551075108310.1007/s10916-010-9598-520878210Search in Google Scholar

Docekalova, M., & Bockova, N. (2013). The use of data envelopment analysis to assess the R&D effectiveness of the Czech manufacturing industry. Business: Theory and Practice, 14(4), 308-3f4. doi: f0.3846/btp.20f3.32DocekalovaM.&BockovaN.2013The use of data envelopment analysis to assess the R&D effectiveness of the Czech manufacturing industryBusiness: Theory and Practice1443083f4f0.3846/btp.20f3.32Open DOISearch in Google Scholar

Ersoy, K., Kavuncubasi, S., Ozcan, Y. A., & Harris, J. M. (1997). Technical efficiencies of Turkish hospitals: DEA approach. Journal of Medical Systems, 21(2), 67-74.ErsoyK.KavuncubasiS.OzcanY. A.&HarrisJ. M.1997Technical efficiencies of Turkish hospitals: DEA approachJournal of Medical Systems212677410.1023/A:1022801222540Search in Google Scholar

García-Sánchez, I. M. (2007). Efficiency and effectiveness of Spanish football teams: A three-stage-DEA approach. Central European Journal of Operations Research, 15(1), 21-45. doi: 10.1007/sl0100-006-0017-4García-SánchezI. M.2007Efficiency and effectiveness of Spanish football teams: A three-stage-DEA approachCentral European Journal of Operations Research151214510.1007/sl0100-006-0017-4Open DOISearch in Google Scholar

Gholami, R., Anón Higón, D., & Emrouznejad, A. (2015). Hospital performance: Efficiency or quality? Can we have both with IT? Expert Systems with Applications, 42(12), 5390-5400.GholamiR.Anón HigónD.&EmrouznejadA.2015Hospital performance: Efficiency or quality? Can we have both with IT?Expert Systems with Applications42125390540010.1016/j.eswa.2014.12.019Search in Google Scholar

Grmanová, E., & Pukala, R. (2018). Efficiency of insurance companies in the Czech Republic and Poland. Oeconomia Copernicana, 9(1), 71-85. doi: 10.24136/ oc.2018.004GrmanováE.&PukalaR.2018Efficiency of insurance companies in the Czech Republic and PolandOeconomia Copernicana91718510.24136/oc.2018.004Open DOISearch in Google Scholar

Haghighi, S. M., & Torabi, S. A. (2018). A novel mixed sustainability-resilience framework for evaluating hospital information systems. International Journal of Medical Informatics, 118, 16-28.HaghighiS. M.&TorabiS. A.2018A novel mixed sustainability-resilience framework for evaluating hospital information systemsInternational Journal of Medical Informatics118162810.1016/j.ijmedinf.2018.07.003Search in Google Scholar

Johannessen, K. A., Kittelsen, S. A. C., & Hagen, T. P. (2017). Assessing physician productivity following Norwegian hospital reform: A panel and data envelopment analysis. Social Science and Medicine, 175, 117-126.JohannessenK. A.KittelsenS. A. C.&HagenT. P.2017Assessing physician productivity following Norwegian hospital reform: A panel and data envelopment analysisSocial Science and Medicine17511712610.1016/j.socscimed.2017.01.008Search in Google Scholar

Kang, H., Nembhard, H., DeFlitch, C., & Pasupathy, K. (2017). Assessment of emergency department efficiency using data envelopment analysis. IISE Transactions on Healthcare Systems Engineering, 7(4), 236-246. doi: 10.1080/24725579.2017.1367978KangH.NembhardH.DeFlitchC.&PasupathyK.2017Assessment of emergency department efficiency using data envelopment analysisIISE Transactions on Healthcare Systems Engineering7423624610.1080/24725579.2017.1367978Open DOISearch in Google Scholar

Karlaftis, M. G. (2004). A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research, 152(2), 354-364. doi: 10.1016/S0377-2217(03)00029-8KarlaftisM. G.2004A DEA approach for evaluating the efficiency and effectiveness of urban transit systemsEuropean Journal of Operational Research152235436410.1016/S0377-2217(03)00029-8Open DOISearch in Google Scholar

Keegan, A. D. (2010). Hospital bed occupancy: More than queuing for a bed. Medical Journal of Australia, 193(5), 291-293. doi: 10.5694/j.1326-5377.2010. tb03910.xKeeganA. D.2010Hospital bed occupancy: More than queuing for a bedMedical Journal of Australia193529129310.5694/j.1326-5377.2010.tb03910.x20819049Open DOISearch in Google Scholar

Keh, H. T., Chu, S., & Xu, J. (2005). Efficiency, effectiveness and productivity of marketing in services. European Journal of Operational Research, 170(1), 265-276. doi: 10.1016/j.ejor.2004.04.050KehH. T.ChuS.&XuJ.2005Efficiency, effectiveness and productivity of marketing in servicesEuropean Journal of Operational Research170126527610.1016/j.ejor.2004.04.050Open DOISearch in Google Scholar

Khushalani, J., & Ozcan, Y. A. (2017). Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA). Socio-Economic Planning Sciences, 60, 15-23. doi: 10.1016/j.seps.2017.01.009KhushalaniJ.&OzcanY. A.2017Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)Socio-Economic Planning Sciences60152310.1016/j.seps.2017.01.009Open DOISearch in Google Scholar

Kohl, S., Schoenfelder, J., Fügener, A., & Brunner, J. O. (2018). Correction to: The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals. Health Care Management Science, 1. doi: 10.1007/S10729-018-9443-9KohlS.SchoenfelderJ.FügenerA.&BrunnerJ. O.2018Correction to: The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitalsHealth Care Management Science110.1007/S10729-018-9443-9Open DOISearch in Google Scholar

Kumar, S., & Gulati, R. (2010). Measuring efficiency, effectiveness and performance of Indian public sector banks. International Journal of Productivity and Performance Management, 59(1), 51-74. doi: 10.1108/17410401011006112KumarS.&GulatiR.2010Measuring efficiency, effectiveness and performance of Indian public sector banksInternational Journal of Productivity and Performance Management591517410.1108/17410401011006112Open DOISearch in Google Scholar

Lachowska, A. (2017). Efficiency of public and nonpublic primary health care providers in Poland. Engineering Management in Production and Services, 9(2), 57-63.LachowskaA.2017Efficiency of public and nonpublic primary health care providers in PolandEngineering Management in Production and Services92576310.1515/emj-2017-0014Search in Google Scholar

Lan, L. W., & Lin, E. T. J. (2003). Technical Efficiency and Service Effectiveness for Railways Industry: Dea Approaches. Journal of the Eastern Asia Society for Transportation Studies, 5(January 2014), 2932-2947.LanL. W.&LinE. T. J.2003Technical Efficiency and Service Effectiveness for Railways Industry: Dea ApproachesJournal of the Eastern Asia Society for Transportation Studies5January 201429322947Search in Google Scholar

Liao, H., Mi, X., Yu, Q., & Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232, 657-671. doi: 10.1016/j. jclepro.2019.05.308LiaoH.MiX.YuQ.&LuoL.2019Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairingJournal of Cleaner Production23265767110.1016/j.jclepro.2019.05.308Open DOISearch in Google Scholar

Lobo, M. S. de C., Rodrigues, H. de G, André, E. C. G., Azeredo, J. A. de, & Lins, M. P. E. (2016). Dynamic network data envelopment analysis for university hospitals evaluation. Revista de Saúde Pública, 50(0), 1-11.LoboM. S. de C.RodriguesH. de G, André, E. C. G.AzeredoJ. A. de&LinsM. P. E.2016Dynamic network data envelopment analysis for university hospitals evaluationRevista de Saúde Pública50011110.1590/S1518-8787.2016050006022490209927191158Search in Google Scholar

Lupo, T. (2013). Strategic analysis of transit service quality using fuzzy AHP methodology. European Transport - Trasporti Europei, 38(53), 9407-9424.LupoT.2013Strategic analysis of transit service quality using fuzzy AHP methodologyEuropean Transport - Trasporti Europei38539407942410.1016/j.eswa.2011.01.103Search in Google Scholar

Mitropoulos, P., Talias, M. A., & Mitropoulos, I. (2015). Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitals. European Journal of Operational Research, 243(1), 302-311. doi: 10.1016/j.ejor.2014.11.012MitropoulosP.TaliasM. A.&MitropoulosI.2015Combining stochastic DEA with Bayesian analysis to obtain statistical properties of the efficiency scores: An application to Greek public hospitalsEuropean Journal of Operational Research243130231110.1016/j.ejor.2014.11.012Open DOISearch in Google Scholar

Nassiri, S. M., & Singh, S. (2009). Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Applied Energy, 86(7-8), 1320-1325.NassiriS. M.&SinghS.2009Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) techniqueApplied Energy867-81320132510.1016/j.apenergy.2008.10.007Search in Google Scholar

Nazarko, J., & Chodakowska, E. (2015). Measuring Productivity of Construction Industry in Europe with Data Envelopment Analysis. Procedia Engineering, 122,204-212. doi: 10.1016/j.proeng.2015.10.026NazarkoJ.&ChodakowskaE.2015Measuring Productivity of Construction Industry in Europe with Data Envelopment AnalysisProcedia Engineering12220421210.1016/j.proeng.2015.10.026Open DOISearch in Google Scholar

Nazarko, J.,& Šaparauskas, J. (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic Development of Economy, 20(1), 25-44.NazarkoJ.&&ŠaparauskasJ.2014Application of DEA method in efficiency evaluation of public higher education institutionsTechnological and Economic Development of Economy201254410.3846/20294913.2014.837116Search in Google Scholar

O'Neill, L., Rauner, M., Heidenberger, K., & Kraus, M. (2008). A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socio-Economic Planning Sciences, 42(3), 158-189.O'NeillL.RaunerM.HeidenbergerK.&KrausM.2008A cross-national comparison and taxonomy of DEA-based hospital efficiency studiesSocio-Economic Planning Sciences42315818910.1016/j.seps.2007.03.001Search in Google Scholar

Omrani, H., Shafaat, K., & Emrouznejad, A. (2018). An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency. Expert Systems with Applications, 114, 615-628. doi: 10.1016/j.eswa.2018.07.074OmraniH.ShafaatK.&EmrouznejadA.2018An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiencyExpert Systems with Applications11461562810.1016/j.eswa.2018.07.074Open DOISearch in Google Scholar

Ouellette, P., & Vierstraete, V. (2004). Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector. European Journal of Operational Research, 154(3), 755-763.OuelletteP.&VierstraeteV.2004Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sectorEuropean Journal of Operational Research154375576310.1016/S0377-2217(02)00712-9Search in Google Scholar

Pastor, J. T., Ruiz, J. L., & Sirvent, I. (1999). Enhanced DEA Russell graph efficiency measure. European Journal of Operational Research, 115(3), 596-607. doi: 10.1016/ S0377-2217(98)00098-8PastorJ. T.RuizJ. L.&SirventI.1999Enhanced DEA Russell graph efficiency measureEuropean Journal of Operational Research115359660710.1016/S0377-2217(98)00098-8Open DOISearch in Google Scholar

Prakash, V., & Annapoorni, D. (2015). Performance Evaluation of Public Hospitals in Tamil Nadu: DEA Approach. Journal of Health Management, 17(4), 417-424. doi: 10.1177/0972063415606267PrakashV.&AnnapoorniD.2015Performance Evaluation of Public Hospitals in Tamil Nadu: DEA ApproachJournal of Health Management17441742410.1177/0972063415606267Open DOISearch in Google Scholar

Rezaee, M. J., & Karimdadi, A. (2015). Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment Analysis. Journal of Medical Systems, 39(9). doi: 10.1007/S10916-015-0278-3RezaeeM. J.&KarimdadiA.2015Do Geographical Locations Affect in Hospitals Performance? A Multi-group Data Envelopment AnalysisJournal of Medical Systems39910.1007/S10916-015-0278-326208596Open DOISearch in Google Scholar

Rouyendegh, B. D., Oztekin, A., Ekong, J., & Dag, A. (2016). Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach. Annals of Operations Research, pp. 1-18.RouyendeghB. D.OztekinA.EkongJ.&DagA.2016Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approachAnnals of Operations Research11810.1007/s10479-016-2330-1Search in Google Scholar

Sajnóg, A. (2015). Comparative analysis of economic efficiency of Polish and German listed companies. Oeconomia Copernicana, 6(2), 67-87. doi: 10.12775/ OeC.2015.013SajnógA.2015Comparative analysis of economic efficiency of Polish and German listed companiesOeconomia Copernicana62678710.12775/OeC.2015.013Open DOISearch in Google Scholar

Stefko, R., Gavurova, B., & Korony, S. (2016). Efficiency measurement in healthcare work management using Malmquist indices. Polish Journal of Management Studies, 13(1), 168-180.StefkoR.GavurovaB.&KoronyS.2016Efficiency measurement in healthcare work management using Malmquist indicesPolish Journal of Management Studies13116818010.17512/pjms.2016.13.1.16Search in Google Scholar

Tavassoli, M., Faramarzi, G. R., & Farzipoor Saen, R. (2014). Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input. Journal of Air Transport Management, 34, 146-153. doi: 10.1016/j.jairtraman.2013.09.001TavassoliM.FaramarziG. R.&Farzipoor SaenR.2014Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared inputJournal of Air Transport Management3414615310.1016/j.jairtraman.2013.09.001Open DOISearch in Google Scholar

Twardowska, K., & Jewczak, M. (2017). The issues of healthcare-associated infections—the economic and social perspective. Engineering Management in Production and Services, 9(2), 21-31.TwardowskaK.&JewczakM.2017The issues of healthcare-associated infections—the economic and social perspectiveEngineering Management in Production and Services92213110.1515/emj-2017-0010Search in Google Scholar

Wang, X., Luo, H., Qin, X., Feng, J Gao, H., & Feng, Q. (2016). Evaluation of performance and impacts of maternal and child health hospital services using Data Envelopment Analysis in Guangxi Zhuang Autonomous Region, China: a comparison study among poverty and non-poverty county level hospitals. International Journal for Equity in Health, 15(1), 131.WangX.LuoH.QinX.FengJGaoH.&FengQ.2016Evaluation of performance and impacts of maternal and child health hospital services using Data Envelopment Analysis in Guangxi Zhuang Autonomous Region, China: a comparison study among poverty and non-poverty county level hospitalsInternational Journal for Equity in Health15113110.1186/s12939-016-0420-y499428027552805Search in Google Scholar

Weng, S.-J., Wu, T., Blackhurst, J., & Mackulak, G. (2009). An extended DEA model for hospital performance evaluation and improvement. Health Services and Outcomes Research Methodology, 9(1), 39.WengS.-J.WuT.BlackhurstJ.&MackulakG.2009An extended DEA model for hospital performance evaluation and improvementHealth Services and Outcomes Research Methodology913910.1007/s10742-008-0042-ySearch in Google Scholar

Yang, C.-C. (2017). Measuring health indicators and allocating health resources: a DEA-based approach. Health Care Management Science, 20(3), 365-378.YangC.-C.2017Measuring health indicators and allocating health resources: a DEA-based approachHealth Care Management Science20336537810.1007/s10729-016-9358-226842823Search in Google Scholar

Yawe, B. (2010). Hospital performance evaluation in Uganda: a super-efficiency data envelope analysis model. Zambia Social Science Journal, 1(1), 6.YaweB.2010Hospital performance evaluation in Uganda: a super-efficiency data envelope analysis modelZambia Social Science Journal116Search in Google Scholar

Yu, M. M., & Lin, E. T. J. (2008). Efficiency and effectiveness in railway performance using a multi-activity network DEA model. Omega, 36(6), 1005-1017. doi: 10.1016/j.omega.2007.06.003YuM. M.&LinE. T. J.2008Efficiency and effectiveness in railway performance using a multi-activity network DEA modelOmega3661005101710.1016/j.omega.2007.06.003Open DOISearch in Google Scholar

Zare, H., Tavana, M., Mardani, A., Masoudian, S., & Kamali Saraji, M. (2018). A hybrid data envelopment analysis and game theory model for performance measurement in healthcare. Health Care Management Science. doi: 10.1007/sl0729-018-9456-4ZareH.TavanaM.MardaniA.MasoudianS.&Kamali SarajiM.2018A hybrid data envelopment analysis and game theory model for performance measurement in healthcareHealth Care Management Science10.1007/sl0729-018-9456-4Open DOISearch in Google Scholar

Zhijun, L. I. N., Zengbiao, Y. U., & Zhang, L. (2014). Performance outcomes of balanced scorecard application in hospital administration in China. China Economic Review, 30, 1-15.ZhijunL. I. N.ZengbiaoY. U.&ZhangL.2014Performance outcomes of balanced scorecard application in hospital administration in ChinaChina Economic Review3011510.1016/j.chieco.2014.05.003Search in Google Scholar