Application of DEA in benchmarking: a systematic literature review from 2003–2020
Abstract
Benchmarking is an effective method for organizations to increase their productivity, quality of products, reliability of processes or services. The organization may make a comparison between its performance and that of the peers from benchmarking, and recognize their advantages as well as disadvantages. The main objective of the present systematic literature review has been the study of DEA benchmarking process. Therefore, it examined and gave a summary of various DEA models applied worldwide to improve benchmarking. Accordingly, a list of published academic papers that appeared in high-ranking journals between 2003 and February 2020 was collected for a systematic review of the DEA benchmarking application. Consequently, the papers selected have been classified according to year of publication, purpose of research, outcomes and results. This study has identified eight major applications including: transportation, service sector, product planning, maintenance, hotel industry, education, distribution and environmental factors. They take up a total of 82% of all application-embedded papers. Among all the applications, the highest recent development has been in both the transportation and service sectors. Results showed higher potential of DEA as a suitable evaluation method for the further benchmarking researches, wherein the production feature between outputs and inputs has been practically lacked or very hard to obtain.
First published online 4 January 2021
Keyword : benchmarking, data envelopment analysis (DEA), systematic literature review (SLR)
How to Cite
Rostamzadeh, R., Akbarian, O., Banaitis, A., & Soltani, Z. (2021). Application of DEA in benchmarking: a systematic literature review from 2003–2020. Technological and Economic Development of Economy, 27(1), 175-222. https://doi.org/10.3846/tede.2021.13406
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Adler, N., Liebert, V., & Yazhemsky, E. (2013). Benchmarking airports from a managerial perspective. Omega, 41(2), 442–458. http://doi.org/10.1016/j.omega.2012.02.004
Aires, R. F. de. F., Salgado, C. C. R., & Ayres, K. V. (2014). The PDCA cycle in practice: The experience of managing subjects of the administration course of the Federal University of Paraíba–UFPB– Campus I. International Journal of Advanced Operations Management, 6(4), 324–334. https://doi.org/10.1504/IJAOM.2014.066826
Ajodhia, V. (2010). Integrated cost and quality benchmarking for electricity distribution using DEA. International Journal of Energy Sector Management, 4(3), 417–433. https://doi.org/10.1108/17506221011073888
Alosani, M. S., Al-Dhaafri, H. S., & Yusoff, R. Z. B. (2016). Mechanism of benchmarking and its impact on organizational performance. International Journal of Business and Management, 11(10), 172. https://doi.org/10.5539/ijbm.v11n10p172
Álvarez-Rodríguez, C., Martín-Gamboa, M., & Iribarren, D. (2019). Combined use of data envelopment analysis and life cycle assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores. Science of The Total Environment, 667, 799–808. https://doi.org/10.1016/j.scitotenv.2019.02.433
Anand, G., & Kodali, R. (2008). Benchmarking the benchmarking models. Benchmarking: An International Journal, 15(3), 257–291. https://doi.org/10.1108/14635770810876593
Asher, M., & Kanji, G. K. (1996). 100 methods for total quality management. Sage Publications.
Ashuri, B., Wang, J., Shahandashti, M., & Baek, M. (2019). A data envelopment analysis (DEA) model for building energy benchmarking. Journal of Engineering, Design and Technology, 17(4), 747–768. https://doi.org/10.1108/JEDT-08-2018-0127
Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier. Tourism Management, 33(5), 1122–1127. https://doi.org/10.1016/j.tourman.2011.11.021
Assaf, S. A., Hadidi, L. A., Hassanain, M. A., & Rezq, M. F. (2015). Performance evaluation and benchmarking for maintenance decision making units at petrochemical corporation using a DEA model. The International Journal of Advanced Manufacturing Technology, 76(9–12), 1957–1967. https://doi.org/10.1007/s00170-014-6422-2
Azadeh, A., Ghaderi, S., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195(2), 775–785. https://doi.org/10.1016/j.amc.2007.05.023
Baek, C., & Lee, J.-d. (2009). The relevance of DEA benchmarking information and the Least-Distance Measure. Mathematical and Computer Modelling, 49(1–2), 265–275. https://doi.org/10.1016/j.mcm.2008.08.007
Barber, E. (2004). Benchmarking the management of projects: A review of current thinking. International Journal of Project Management, 22(4), 301–307. https://doi.org/10.1016/j.ijproman.2003.08.001
Belton, V., & Vickers, S. P. (1993). Demystifying DEA – a visual interactive approach based on multiple criteria analysis. Journal of the Operational research Society, 44(9), 883–896. https://doi.org/10.1057/jors.1993.157
Bogan, C. E., & English, M. J. (1994). Benchmarking for best practices: Winning through innovative adaptation. McGraw-Hill.
Boxwell Jr, R. J. (1994). Benchmarking for competitive advantage. McGraw-Hill.
Braglia, M., Zanoni, S., & Zavanella, L. (2003). Measuring and benchmarking productive systems performances using DEA: An industrial case. Production Planning & Control, 14(6), 542–554. https://doi.org/10.1080/09537280310001621994
Brah, S. A., Lin Ong, A., & Madhu Rao, B. (2000). Understanding the benchmarking process in Singapore. International Journal of Quality & Reliability Management, 17(3), 259–275. https://doi.org/10.1108/02656710010306157
Camp, R. C. (1989). Benchmarking: The search for industry best practices that lead to superior performance. ASQ Quality Press.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Chen, H.-L. (2002). Benchmarking and quality improvement: A quality benchmarking deployment approach. International Journal of Quality & Reliability Management, 19(6), 757–773. https://doi.org/10.1108/02656710210429609
Chiu, S.-H., & Lin, T.-Y. (2018). Performance evaluation of taiwanese international tourist hotels: Evidence from a modified NDEA model with ICA technique. Technological and Economic Development of Economy, 24(4), 1560–1580. https://doi.org/10.3846/tede.2018.3116
Chodakowska, E., & Nazarko, J. (2017). Environmental DEA method for assessing productivity of European countries. Technological and Economic Development of Economy, 23(4), 589–607. https://doi.org/10.3846/20294913.2016.1272069
Cook, W. D., Ruiz, J. L., Sirvent, I., & Zhu, J. (2017). Within-group common benchmarking using DEA. European Journal of Operational Research, 256(3), 901–910. https://doi.org/10.1016/j.ejor.2016.06.074
Cook, W. D., Seiford, L. M., & Zhu, J. (2004). Models for performance benchmarking: Measuring the effect of e-business activities on banking performance. Omega, 32(4), 313–322. https://doi.org/10.1016/j.omega.2004.01.001
Cook, W. D., & Zhu, J. (2007). Within-group common weights in DEA: An analysis of power plant efficiency. European Journal of Operational Research, 178(1), 207–216. https://doi.org/10.1016/j.ejor.2006.01.019
Das, S., & Kundu, A. (2019). Benchmarking a country for efficiency improvement: A DEA-based approach. Journal of Global Entrepreneurship Research, 9(1), 49. https://doi.org/10.1186/s40497-019-0173-3
De Koster, M., Balk, B., & van Nus, W. (2009). On using DEA for benchmarking container terminals. International Journal of Operations & Production Management, 29(11), 1140–1155. https://doi.org/10.1108/01443570911000168
Deville, A. (2009). Branch banking network assessment using DEA: A benchmarking analysis – a note. Management Accounting Research, 20(4), 252–261. https://doi.org/10.1016/j.mar.2009.08.001
Díaz, J. R., Poyato, E. C., & Luque, R. L. (2004). Applying benchmarking and data envelopment analysis (DEA) techniques to irrigation districts in Spain. Irrigation and Drainage: The Journal of the International Commission on Irrigation and Drainage, 53(2), 135–143. https://doi.org/10.1002/ird.128
Didehkhani, H., Lotfi, F. H., & Sadi-Nezhad, S. (2019). Practical benchmarking in DEA using artificial DMUs. Journal of Industrial Engineering International, 15(2), 293–301. https://doi.org/10.1007/s40092-018-0281-7
Donthu, N., Hershberger, E. K., & Osmonbekov, T. (2005). Benchmarking marketing productivity using data envelopment analysis. Journal of Business Research, 58(11), 1474–1482. https://doi.org/10.1016/j.jbusres.2004.05.007
Doyle, J., & Green, R. (1993). Data envelopment analysis and multiple criteria decision making. Omega, 21(6), 713–715. https://doi.org/10.1016/0305-0483(93)90013-B
Egilmez, G., & McAvoy, D. (2013). Benchmarking road safety of us states: A DEA-based Malmquist productivity index approach. Accident Analysis & Prevention, 53, 55–64. https://doi.org/10.1016/j.aap.2012.12.038
Elmuti, D., & Kathawala, Y. (1997). An overview of benchmarking process: A tool for continuous improvement and competitive advantage. Benchmarking for Quality Management & Technology, 4(4), 229–243. https://doi.org/10.1108/14635779710195087
Emrouznejad, A., & Yang, G.-l. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
Fernandez, P., McCarthy, I. P., & Rakotobe‐Joel, T. (2001). An evolutionary approach to benchmarking. Benchmarking: An International Journal, 8(4), 281–305. https://doi.org/10.1108/14635770110403783
Gourishankar, V., & Sai Lokachari, P. (2012). Benchmarking educational development efficiencies of the Indian states: A DEA approach. International Journal of Educational Management, 26(1), 99–130. https://doi.org/10.1108/09513541211194400
Gouveia, M., Dias, L., Antunes, C., Boucinha, J., & Inácio, C. (2015). Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method. Omega, 53, 104–114. https://doi.org/10.1016/j.omega.2014.12.003
Heib, R., & Daneva, M. (1995). Benchmarks and benchmarking: A definitional analysis. Institute for Information System, University of Saarlandes.
Hong, S.-M., Paterson, G., Mumovic, D., & Steadman, P. (2014). Improved benchmarking comparability for energy consumption in schools. Building Research & Information, 42(1), 47–61. https://doi.org/10.1080/09613218.2013.814746
Horta, I. M., Kapelko, M., Oude Lansink, A., & Camanho, A. S. (2016). The impact of internationalization and diversification on construction industry performance. International Journal of Strategic Property Management, 20(2), 172–183. https://doi.org/10.3846/1648715X.2015.1123201
Hung Lau, K. (2012). Distribution network rationalisation through benchmarking with DEA. Benchmarking: An International Journal, 19(6), 668–689. https://doi.org/10.1108/14635771211284260
Jha, D. K., Yorino, N., & Zoka, Y. (2008). Benchmarking of generation and distribution units in Nepal using modified DEA models. IEEJ Transactions on Power and Energy, 128(9), 1082–1090. https://doi.org/10.1541/ieejpes.128.1082
Kaganova, O., & Telgarsky, J. (2018). Management of capital assets by local governments: An assessment and benchmarking survey. International Journal of Strategic Property Management, 22(2), 143–156. https://doi.org/10.3846/ijspm.2018.445
Karbassi Yazdi, A., & Abdi, F. (2017). Designing robust model for banks benchmarking based on Rembrandt method and DEA. Benchmarking: An International Journal, 24(2), 431–444. https://doi.org/10.1108/BIJ-01-2015-0001
Kılkış, Ş. (2015). Composite index for benchmarking local energy systems of Mediterranean port cities. Energy, 92, 622–638. https://doi.org/10.1016/j.energy.2015.06.093
Kumar, A., Antony, J., & Dhakar, T. S. (2006). Integrating quality function deployment and benchmarking to achieve greater profitability. Benchmarking: An International Journal, 13(3), 290–310. https://doi.org/10.1108/14635770610668794
Kumar, M., & Vincent, C. (2011). Benchmarking Indian banks using DEA in post-reform period: A progressive time-weighted mean approach. The Service Industries Journal, 31(14), 2455–2485. https://doi.org/10.1080/02642069.2010.504818
Lai, M.-C., Huang, H.-C., & Wang, W.-K. (2011). Designing a knowledge-based system for benchmarking: A DEA approach. Knowledge-Based Systems, 24(5), 662–671. https://doi.org/10.1016/j.knosys.2011.02.006
Li, L., Su, Q., & Chen, X. (2011). Ensuring supply chain quality performance through applying the scor model. International Journal of Production Research, 49(1), 33–57. https://doi.org/10.1080/00207543.2010.508934
Lim, S., Bae, H., & Lee, L. H. (2011). A study on the selection of benchmarking paths in DEA. Expert Systems with Applications, 38(6), 7665–7673. https://doi.org/10.1016/j.eswa.2010.12.148
Liu, X., Zhu, Q., Chu, J., Ji, X., & Li, X. (2019). Environmental performance and benchmarking information for coal-fired power plants in China: A DEA approach. Computational Economics, 54(4), 1287–1302. https://doi.org/10.1007/s10614-015-9560-1
Makui, A., Alinezhad, A., Kiani Mavi, R., & Zohrehbandian, M. (2008). A goal programming method for finding common weights in DEA with an improved discriminating power for efficiency. Journal of Industrial and Systems Engineering, 1(4), 293–303.
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298–1322. https://doi.org/10.1016/j.rser.2016.12.030
Martín, J. C., & Román, C. (2006). A benchmarking analysis of Spanish commercial airports. A comparison between SMOP and DEA ranking methods. Networks and Spatial Economics, 6(2), 111–134. https://doi.org/10.1007/s11067-006-7696-1
Melo, I. C., Junior, P. N. A., Perico, A. E., Guzman, M. G. S., & Rebelatto, D. A. d. N. (2018). Benchmarking freight transportation corridors and routes with data envelopment analysis (DEA). Benchmarking: An International Journal, 25(2), 713–742. https://doi.org/10.1108/BIJ-11-2016-0175
Min, H., & Jong Joo, S. (2006). Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis. Supply Chain Management: An International Journal, 11(3), 259–265. https://doi.org/10.1108/13598540610662167
Mishra, R. K., & Pal, S. (2017). Benchmarking Indian SMEs: A DEA approach. International Journal of Process Management and Benchmarking, 7(3), 305–331. https://doi.org/10.1504/IJPMB.2017.084907
Mollaee, N., & Rahimi, R. (2009). New method for effective benchmarking in health, safety & environment management. Paper presented at the Proceeding Book of the Environment 2009 Seminar, Abu Dhabi.
Nasrabadi, N., Dehnokhalaji, A., Korhonen, P., & Wallenius, J. (2019). A stepwise benchmarking approach to DEA with interval scale data. Journal of the Operational Research Society, 70(6), 954–961. https://doi.org/10.1080/01605682.2018.1471375
Nazarko, J., & Chodakowska, E. (2017). Labour efficiency in construction industry in Europe based on frontier methods: Data envelopment analysis and stochastic frontier analysis. Journal of Civil Engineering and Management, 23(6), 787–795. https://doi.org/10.3846/13923730.2017.1321577
Nigam, V., Thakur, T., Sethi, V., & Singh, R. (2012). Benchmarking of Indian mobile telecom operators using DEA with sensitivity analysis. Benchmarking: An International Journal, 19(2), 219–238. https://doi.org/10.1108/14635771211224545
Oh, S.-C., & Shin, J. (2015). The impact of mismeasurement in performance benchmarking: A Monte Carlo comparison of SFA and DEA with different multi-period budgeting strategies. European Journal of Operational Research, 240(2), 518–527. https://doi.org/10.1016/j.ejor.2014.07.026
Papagapiou, A., Mingers, J., & Thanassoulis, E. (1997). Would you buy a used car with DEA? OR Insight, 10(1), 13–19. https://doi.org/10.1057/ori.1997.3
Park, J., Lim, S., & Bae, H. (2012). DEA-based port efficiency improvement and stepwise benchmarking target selection. Information: An International Interdisciplinary Journal, 15, 6155–6172.
Park, J., & Sung, S.-I. (2016). Integrated approach to construction of benchmarking network in DEAbased stepwise benchmark target selection. Sustainability, 8(7), 600. https://doi.org/10.3390/su8070600
Peng Wong, W., & Yew Wong, K. (2008). A review on benchmarking of supply chain performance measures. Benchmarking: An international Journal, 15(1), 25–51. https://doi.org/10.1108/14635770810854335
Pickrell, S., Garnett, N., & Baldwin, J. (1997). Measuring up: A practical guide to benchmarking in construction. Construction Research Communications Watford.
Portela, M. C. A. S., Camanho, A. S., Almeida, D. Q., Lopes, L., Silva, S. N., & Castro, R. (2016). Benchmarking hospitals through a web based platform. Benchmarking: An International Journal, 23(3), 722−739. https://doi.org/10.1108/BIJ-07-2014-0067
Quaresma Dias, J. C., Garrido Azevedo, S., Ferreira, J., & Palma, S. F. (2009). A comparative benchmarking analysis of main Iberian container terminals: A DEA approach. International Journal of Shipping and Transport Logistics, 1(3), 260−275. https://doi.org/10.1504/IJSTL.2009.027534
Radojicic, M., Savic, G., & Jeremic, V. (2018). Measuring the efficiency of banks: The bootstrapped i-distance GAR DEA approach. Technological and Economic Development of Economy, 24(4), 1581−1605. https://doi.org/10.3846/tede.2018.3699
Ramón, N., Ruiz, J. L., & Sirvent, I. (2018). Two-step benchmarking: Setting more realistically achievable targets in DEA. Expert Systems with Applications, 92, 124−131. https://doi.org/10.1016/j.eswa.2017.09.044
Ramón, N., Ruiz, J. L., & Sirvent, I. (2020). Cross-benchmarking for performance evaluation: Looking across best practices of different peer groups using DEA. Omega, 92, 102169. https://doi.org/10.1016/j.omega.2019.102169
Reichmann, G., & Sommersguter-Reichmann, M. (2006). University library benchmarking: An international comparison using DEA. International Journal of Production Economics, 100(1), 131−147. https://doi.org/10.1016/j.ijpe.2004.10.007
Ruiz, J. L., & Sirvent, I. (2016). Common benchmarking and ranking of units with DEA. Omega, 65, 1−9. https://doi.org/10.1016/j.omega.2015.11.007
Ruiz, J. L., & Sirvent, I. (2020). Benchmarking within a DEA framework: Setting the closest targets and identifying peer groups with the most similar performances. International Transactions in Operational Research. https://doi.org/10.1111/itor.12779
Samoilenko, S., & Osei-Bryson, K.-M. (2019). A data analytic benchmarking methodology for discovering common causal structures that describe context-diverse heterogeneous groups. Expert Systems with Applications, 117, 330−344. https://doi.org/10.1016/j.eswa.2018.09.054
Sarkis, J. (2001). Benchmarking for agility. Benchmarking: An International Journal, 8(2), 88−107. https://doi.org/10.1108/14635770110389816
Sellitto, M. A., Pereira, G. M., Borchardt, M., Da Silva, R. I., & Viegas, C. V. (2015). A scor-based model for supply chain performance measurement: Application in the footwear industry. International Journal of Production Research, 53(16), 4917−4926. https://doi.org/10.1080/00207543.2015.1005251
Seol, H., Choi, J., Park, G., & Park, Y. (2007). A framework for benchmarking service process using data envelopment analysis and decision tree. Expert Systems with Applications, 32(2), 432−440. https://doi.org/10.1016/j.eswa.2005.12.012
Shabanpour, H., Yousefi, S., & Saen, R. F. (2017). Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA. Transportation Research Part D: Transport and Environment, 50, 129−143. https://doi.org/10.1016/j.trd.2016.10.022
Sharma, M. G., Debnath, R. M., Oloruntoba, R., & Sharma, S. M. (2016). Benchmarking of rail transport service performance through DEA for Indian railways. The International Journal of Logistics Management.
Sherman, H. D., & Zhu, J. (2006). Benchmarking with quality-adjusted DEA (Q-DEA) to seek lowercost high-quality service: Evidence from a U.S. bank application. Annals of Operations Research, 145(1), 301−319. https://doi.org/10.1007/s10479-006-0037-4
Silva, A. S., Medeiros, C. F., & Vieira, R. K. (2017). Cleaner production and PDCA cycle: Practical application for reducing the Cans Loss Index in a beverage company. Journal of Cleaner Production, 150, 324−338. https://doi.org/10.1016/j.jclepro.2017.03.033
Soheilirad, S., Govindan, K., Mardani, A., Zavadskas, E. K., Nilashi, M., & Zakuan, N. (2018). Application of data envelopment analysis models in supply chain management: A systematic review and meta-analysis. Annals of Operations Research, 271(2), 915−969. https://doi.org/10.1007/s10479-017-2605-1
Stewart, T. J. (1994). Data envelopment analysis and multiple criteria decision making: A response. Omega, 22(2), 205−206. https://doi.org/10.1016/0305-0483(94)90079-5
Stewart, T. J. (1996). Relationships between data envelopment analysis and multicriteria decision analysis. Journal of the Operational Research Society, 47(5), 654c665. https://doi.org/10.1057/jors.1996.77
Sufian, F. (2011a). Benchmarking the efficiency of the Korean banking sector: A DEA approach. Benchmarking: An International Journal, 18(1), 107−127. https://doi.org/10.1108/14635771111109841
Swanson, D. (2016). Transportation price benchmarking: Implications for firm performance. Benchmarking: An International Journal, 23(4), 1015−1026. https://doi.org/10.1108/BIJ-04-2015-0034
Trappey, A. J., & Chiang, T.-A. (2008). A DEA benchmarking methodology for project planning and management of new product development under decentralized profit-center business model. Advanced Engineering Informatics, 22(4), 438−444. https://doi.org/10.1016/j.aei.2008.06.003
Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact (pp. 285−320). Springer. https://doi.org/10.1007/978-3-319-10377-8_13
Wang, Y.-G. (2017). Benchmarking establishment for green building based on DEA and individual advantage identification. Journal of Interdisciplinary Mathematics, 20(6−7), 1459−1463. https://doi.org/10.1080/09720502.2017.1382157
Wong, W. P., & Wong, K. Y. (2008). A review on benchmarking of supply chain performance measures. Benchmarking, 15(1), 25−51. https://doi.org/10.1108/14635770810854335
Wu, H., Chen, B., Xia, Q., & Zhou, H. (2013). Ranking and benchmarking of the Asian games achievements based on DEA: The case of Guangzhou 2010. Asia-Pacific Journal of Operational Research, 30(06), 1350028. https://doi.org/10.1142/S0217595913500280
Wu, J., Liang, L., & Song, M. (2010). Performance based clustering for benchmarking of container ports: An application of DEA and cluster analysis technique. International Journal of Computational Intelligence Systems, 3(6), 709−722. https://doi.org/10.1080/18756891.2010.9727734
Wu, J., Zhu, Q., Chu, J., An, Q., & Liang, L. (2016). A DEA-based approach for allocation of emission reduction tasks. International Journal of Production Research, 54(18), 5618−5633. https://doi.org/10.1080/00207543.2016.1194537
Wu, W.-W. (2012). An integrated solution for benchmarking using DEA, gray entropy, and Borda count. The Service Industries Journal, 32(2), 321−335. https://doi.org/10.1080/02642069.2011.517833
Wu, W.-W., Lan, L. W., & Lee, Y.-T. (2013). Benchmarking hotel industry in a multi-period context with DEA approaches: A case study. Benchmarking: An International Journal, 20(2), 152−168. https://doi.org/10.1108/14635771311307650
Yasin, M. M. (2002). The theory and practice of benchmarking: Then and now. Benchmarking: An International Journal, 9(3), 217−243. https://doi.org/10.1108/14635770210428992
Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858−874. https://doi.org/10.3846/jcem.2019.11309
Yeravdekar, S., & Behl, A. (2017). Benchmarking model for management education in India: A total interpretive structural modeling approach. Benchmarking, 24(3), 666−693. https://doi.org/10.1108/BIJ-06-2016-0082
Yoshida, Y., & Fujimoto, H. (2004). Japanese-airport benchmarking with the DEA and endogenousweight TFP methods: Testing the criticism of overinvestment in Japanese regional airports. Transportation Research Part E: Logistics and Transportation Review, 40(6), 533−546. https://doi.org/10.1016/j.tre.2004.08.003
Zhou, X., Luo, R., An, Q., Wang, S., & Lev, B. (2019). Water resource environmental carrying capacitybased reward and penalty mechanism: A DEA benchmarking approach. Journal of Cleaner Production, 229, 1294−1306. https://doi.org/10.1016/j.jclepro.2019.05.004
Žižka, M., Hovorková Valentová, V., & Turčok, L. (2016). Performance evaluation of Czech innovative companies: data envelopment analysis approach. International Journal of Strategic Property Management, 20(4), 427−438. https://doi.org/10.3846/1648715X.2016.1239592
Aires, R. F. de. F., Salgado, C. C. R., & Ayres, K. V. (2014). The PDCA cycle in practice: The experience of managing subjects of the administration course of the Federal University of Paraíba–UFPB– Campus I. International Journal of Advanced Operations Management, 6(4), 324–334. https://doi.org/10.1504/IJAOM.2014.066826
Ajodhia, V. (2010). Integrated cost and quality benchmarking for electricity distribution using DEA. International Journal of Energy Sector Management, 4(3), 417–433. https://doi.org/10.1108/17506221011073888
Alosani, M. S., Al-Dhaafri, H. S., & Yusoff, R. Z. B. (2016). Mechanism of benchmarking and its impact on organizational performance. International Journal of Business and Management, 11(10), 172. https://doi.org/10.5539/ijbm.v11n10p172
Álvarez-Rodríguez, C., Martín-Gamboa, M., & Iribarren, D. (2019). Combined use of data envelopment analysis and life cycle assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores. Science of The Total Environment, 667, 799–808. https://doi.org/10.1016/j.scitotenv.2019.02.433
Anand, G., & Kodali, R. (2008). Benchmarking the benchmarking models. Benchmarking: An International Journal, 15(3), 257–291. https://doi.org/10.1108/14635770810876593
Asher, M., & Kanji, G. K. (1996). 100 methods for total quality management. Sage Publications.
Ashuri, B., Wang, J., Shahandashti, M., & Baek, M. (2019). A data envelopment analysis (DEA) model for building energy benchmarking. Journal of Engineering, Design and Technology, 17(4), 747–768. https://doi.org/10.1108/JEDT-08-2018-0127
Assaf, A. G. (2012). Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier. Tourism Management, 33(5), 1122–1127. https://doi.org/10.1016/j.tourman.2011.11.021
Assaf, S. A., Hadidi, L. A., Hassanain, M. A., & Rezq, M. F. (2015). Performance evaluation and benchmarking for maintenance decision making units at petrochemical corporation using a DEA model. The International Journal of Advanced Manufacturing Technology, 76(9–12), 1957–1967. https://doi.org/10.1007/s00170-014-6422-2
Azadeh, A., Ghaderi, S., & Izadbakhsh, H. (2008). Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Applied Mathematics and Computation, 195(2), 775–785. https://doi.org/10.1016/j.amc.2007.05.023
Baek, C., & Lee, J.-d. (2009). The relevance of DEA benchmarking information and the Least-Distance Measure. Mathematical and Computer Modelling, 49(1–2), 265–275. https://doi.org/10.1016/j.mcm.2008.08.007
Barber, E. (2004). Benchmarking the management of projects: A review of current thinking. International Journal of Project Management, 22(4), 301–307. https://doi.org/10.1016/j.ijproman.2003.08.001
Belton, V., & Vickers, S. P. (1993). Demystifying DEA – a visual interactive approach based on multiple criteria analysis. Journal of the Operational research Society, 44(9), 883–896. https://doi.org/10.1057/jors.1993.157
Bogan, C. E., & English, M. J. (1994). Benchmarking for best practices: Winning through innovative adaptation. McGraw-Hill.
Boxwell Jr, R. J. (1994). Benchmarking for competitive advantage. McGraw-Hill.
Braglia, M., Zanoni, S., & Zavanella, L. (2003). Measuring and benchmarking productive systems performances using DEA: An industrial case. Production Planning & Control, 14(6), 542–554. https://doi.org/10.1080/09537280310001621994
Brah, S. A., Lin Ong, A., & Madhu Rao, B. (2000). Understanding the benchmarking process in Singapore. International Journal of Quality & Reliability Management, 17(3), 259–275. https://doi.org/10.1108/02656710010306157
Camp, R. C. (1989). Benchmarking: The search for industry best practices that lead to superior performance. ASQ Quality Press.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
Chen, H.-L. (2002). Benchmarking and quality improvement: A quality benchmarking deployment approach. International Journal of Quality & Reliability Management, 19(6), 757–773. https://doi.org/10.1108/02656710210429609
Chiu, S.-H., & Lin, T.-Y. (2018). Performance evaluation of taiwanese international tourist hotels: Evidence from a modified NDEA model with ICA technique. Technological and Economic Development of Economy, 24(4), 1560–1580. https://doi.org/10.3846/tede.2018.3116
Chodakowska, E., & Nazarko, J. (2017). Environmental DEA method for assessing productivity of European countries. Technological and Economic Development of Economy, 23(4), 589–607. https://doi.org/10.3846/20294913.2016.1272069
Cook, W. D., Ruiz, J. L., Sirvent, I., & Zhu, J. (2017). Within-group common benchmarking using DEA. European Journal of Operational Research, 256(3), 901–910. https://doi.org/10.1016/j.ejor.2016.06.074
Cook, W. D., Seiford, L. M., & Zhu, J. (2004). Models for performance benchmarking: Measuring the effect of e-business activities on banking performance. Omega, 32(4), 313–322. https://doi.org/10.1016/j.omega.2004.01.001
Cook, W. D., & Zhu, J. (2007). Within-group common weights in DEA: An analysis of power plant efficiency. European Journal of Operational Research, 178(1), 207–216. https://doi.org/10.1016/j.ejor.2006.01.019
Das, S., & Kundu, A. (2019). Benchmarking a country for efficiency improvement: A DEA-based approach. Journal of Global Entrepreneurship Research, 9(1), 49. https://doi.org/10.1186/s40497-019-0173-3
De Koster, M., Balk, B., & van Nus, W. (2009). On using DEA for benchmarking container terminals. International Journal of Operations & Production Management, 29(11), 1140–1155. https://doi.org/10.1108/01443570911000168
Deville, A. (2009). Branch banking network assessment using DEA: A benchmarking analysis – a note. Management Accounting Research, 20(4), 252–261. https://doi.org/10.1016/j.mar.2009.08.001
Díaz, J. R., Poyato, E. C., & Luque, R. L. (2004). Applying benchmarking and data envelopment analysis (DEA) techniques to irrigation districts in Spain. Irrigation and Drainage: The Journal of the International Commission on Irrigation and Drainage, 53(2), 135–143. https://doi.org/10.1002/ird.128
Didehkhani, H., Lotfi, F. H., & Sadi-Nezhad, S. (2019). Practical benchmarking in DEA using artificial DMUs. Journal of Industrial Engineering International, 15(2), 293–301. https://doi.org/10.1007/s40092-018-0281-7
Donthu, N., Hershberger, E. K., & Osmonbekov, T. (2005). Benchmarking marketing productivity using data envelopment analysis. Journal of Business Research, 58(11), 1474–1482. https://doi.org/10.1016/j.jbusres.2004.05.007
Doyle, J., & Green, R. (1993). Data envelopment analysis and multiple criteria decision making. Omega, 21(6), 713–715. https://doi.org/10.1016/0305-0483(93)90013-B
Egilmez, G., & McAvoy, D. (2013). Benchmarking road safety of us states: A DEA-based Malmquist productivity index approach. Accident Analysis & Prevention, 53, 55–64. https://doi.org/10.1016/j.aap.2012.12.038
Elmuti, D., & Kathawala, Y. (1997). An overview of benchmarking process: A tool for continuous improvement and competitive advantage. Benchmarking for Quality Management & Technology, 4(4), 229–243. https://doi.org/10.1108/14635779710195087
Emrouznejad, A., & Yang, G.-l. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253–290. https://doi.org/10.2307/2343100
Fernandez, P., McCarthy, I. P., & Rakotobe‐Joel, T. (2001). An evolutionary approach to benchmarking. Benchmarking: An International Journal, 8(4), 281–305. https://doi.org/10.1108/14635770110403783
Gourishankar, V., & Sai Lokachari, P. (2012). Benchmarking educational development efficiencies of the Indian states: A DEA approach. International Journal of Educational Management, 26(1), 99–130. https://doi.org/10.1108/09513541211194400
Gouveia, M., Dias, L., Antunes, C., Boucinha, J., & Inácio, C. (2015). Benchmarking of maintenance and outage repair in an electricity distribution company using the value-based DEA method. Omega, 53, 104–114. https://doi.org/10.1016/j.omega.2014.12.003
Heib, R., & Daneva, M. (1995). Benchmarks and benchmarking: A definitional analysis. Institute for Information System, University of Saarlandes.
Hong, S.-M., Paterson, G., Mumovic, D., & Steadman, P. (2014). Improved benchmarking comparability for energy consumption in schools. Building Research & Information, 42(1), 47–61. https://doi.org/10.1080/09613218.2013.814746
Horta, I. M., Kapelko, M., Oude Lansink, A., & Camanho, A. S. (2016). The impact of internationalization and diversification on construction industry performance. International Journal of Strategic Property Management, 20(2), 172–183. https://doi.org/10.3846/1648715X.2015.1123201
Hung Lau, K. (2012). Distribution network rationalisation through benchmarking with DEA. Benchmarking: An International Journal, 19(6), 668–689. https://doi.org/10.1108/14635771211284260
Jha, D. K., Yorino, N., & Zoka, Y. (2008). Benchmarking of generation and distribution units in Nepal using modified DEA models. IEEJ Transactions on Power and Energy, 128(9), 1082–1090. https://doi.org/10.1541/ieejpes.128.1082
Kaganova, O., & Telgarsky, J. (2018). Management of capital assets by local governments: An assessment and benchmarking survey. International Journal of Strategic Property Management, 22(2), 143–156. https://doi.org/10.3846/ijspm.2018.445
Karbassi Yazdi, A., & Abdi, F. (2017). Designing robust model for banks benchmarking based on Rembrandt method and DEA. Benchmarking: An International Journal, 24(2), 431–444. https://doi.org/10.1108/BIJ-01-2015-0001
Kılkış, Ş. (2015). Composite index for benchmarking local energy systems of Mediterranean port cities. Energy, 92, 622–638. https://doi.org/10.1016/j.energy.2015.06.093
Kumar, A., Antony, J., & Dhakar, T. S. (2006). Integrating quality function deployment and benchmarking to achieve greater profitability. Benchmarking: An International Journal, 13(3), 290–310. https://doi.org/10.1108/14635770610668794
Kumar, M., & Vincent, C. (2011). Benchmarking Indian banks using DEA in post-reform period: A progressive time-weighted mean approach. The Service Industries Journal, 31(14), 2455–2485. https://doi.org/10.1080/02642069.2010.504818
Lai, M.-C., Huang, H.-C., & Wang, W.-K. (2011). Designing a knowledge-based system for benchmarking: A DEA approach. Knowledge-Based Systems, 24(5), 662–671. https://doi.org/10.1016/j.knosys.2011.02.006
Li, L., Su, Q., & Chen, X. (2011). Ensuring supply chain quality performance through applying the scor model. International Journal of Production Research, 49(1), 33–57. https://doi.org/10.1080/00207543.2010.508934
Lim, S., Bae, H., & Lee, L. H. (2011). A study on the selection of benchmarking paths in DEA. Expert Systems with Applications, 38(6), 7665–7673. https://doi.org/10.1016/j.eswa.2010.12.148
Liu, X., Zhu, Q., Chu, J., Ji, X., & Li, X. (2019). Environmental performance and benchmarking information for coal-fired power plants in China: A DEA approach. Computational Economics, 54(4), 1287–1302. https://doi.org/10.1007/s10614-015-9560-1
Makui, A., Alinezhad, A., Kiani Mavi, R., & Zohrehbandian, M. (2008). A goal programming method for finding common weights in DEA with an improved discriminating power for efficiency. Journal of Industrial and Systems Engineering, 1(4), 293–303.
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298–1322. https://doi.org/10.1016/j.rser.2016.12.030
Martín, J. C., & Román, C. (2006). A benchmarking analysis of Spanish commercial airports. A comparison between SMOP and DEA ranking methods. Networks and Spatial Economics, 6(2), 111–134. https://doi.org/10.1007/s11067-006-7696-1
Melo, I. C., Junior, P. N. A., Perico, A. E., Guzman, M. G. S., & Rebelatto, D. A. d. N. (2018). Benchmarking freight transportation corridors and routes with data envelopment analysis (DEA). Benchmarking: An International Journal, 25(2), 713–742. https://doi.org/10.1108/BIJ-11-2016-0175
Min, H., & Jong Joo, S. (2006). Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis. Supply Chain Management: An International Journal, 11(3), 259–265. https://doi.org/10.1108/13598540610662167
Mishra, R. K., & Pal, S. (2017). Benchmarking Indian SMEs: A DEA approach. International Journal of Process Management and Benchmarking, 7(3), 305–331. https://doi.org/10.1504/IJPMB.2017.084907
Mollaee, N., & Rahimi, R. (2009). New method for effective benchmarking in health, safety & environment management. Paper presented at the Proceeding Book of the Environment 2009 Seminar, Abu Dhabi.
Nasrabadi, N., Dehnokhalaji, A., Korhonen, P., & Wallenius, J. (2019). A stepwise benchmarking approach to DEA with interval scale data. Journal of the Operational Research Society, 70(6), 954–961. https://doi.org/10.1080/01605682.2018.1471375
Nazarko, J., & Chodakowska, E. (2017). Labour efficiency in construction industry in Europe based on frontier methods: Data envelopment analysis and stochastic frontier analysis. Journal of Civil Engineering and Management, 23(6), 787–795. https://doi.org/10.3846/13923730.2017.1321577
Nigam, V., Thakur, T., Sethi, V., & Singh, R. (2012). Benchmarking of Indian mobile telecom operators using DEA with sensitivity analysis. Benchmarking: An International Journal, 19(2), 219–238. https://doi.org/10.1108/14635771211224545
Oh, S.-C., & Shin, J. (2015). The impact of mismeasurement in performance benchmarking: A Monte Carlo comparison of SFA and DEA with different multi-period budgeting strategies. European Journal of Operational Research, 240(2), 518–527. https://doi.org/10.1016/j.ejor.2014.07.026
Papagapiou, A., Mingers, J., & Thanassoulis, E. (1997). Would you buy a used car with DEA? OR Insight, 10(1), 13–19. https://doi.org/10.1057/ori.1997.3
Park, J., Lim, S., & Bae, H. (2012). DEA-based port efficiency improvement and stepwise benchmarking target selection. Information: An International Interdisciplinary Journal, 15, 6155–6172.
Park, J., & Sung, S.-I. (2016). Integrated approach to construction of benchmarking network in DEAbased stepwise benchmark target selection. Sustainability, 8(7), 600. https://doi.org/10.3390/su8070600
Peng Wong, W., & Yew Wong, K. (2008). A review on benchmarking of supply chain performance measures. Benchmarking: An international Journal, 15(1), 25–51. https://doi.org/10.1108/14635770810854335
Pickrell, S., Garnett, N., & Baldwin, J. (1997). Measuring up: A practical guide to benchmarking in construction. Construction Research Communications Watford.
Portela, M. C. A. S., Camanho, A. S., Almeida, D. Q., Lopes, L., Silva, S. N., & Castro, R. (2016). Benchmarking hospitals through a web based platform. Benchmarking: An International Journal, 23(3), 722−739. https://doi.org/10.1108/BIJ-07-2014-0067
Quaresma Dias, J. C., Garrido Azevedo, S., Ferreira, J., & Palma, S. F. (2009). A comparative benchmarking analysis of main Iberian container terminals: A DEA approach. International Journal of Shipping and Transport Logistics, 1(3), 260−275. https://doi.org/10.1504/IJSTL.2009.027534
Radojicic, M., Savic, G., & Jeremic, V. (2018). Measuring the efficiency of banks: The bootstrapped i-distance GAR DEA approach. Technological and Economic Development of Economy, 24(4), 1581−1605. https://doi.org/10.3846/tede.2018.3699
Ramón, N., Ruiz, J. L., & Sirvent, I. (2018). Two-step benchmarking: Setting more realistically achievable targets in DEA. Expert Systems with Applications, 92, 124−131. https://doi.org/10.1016/j.eswa.2017.09.044
Ramón, N., Ruiz, J. L., & Sirvent, I. (2020). Cross-benchmarking for performance evaluation: Looking across best practices of different peer groups using DEA. Omega, 92, 102169. https://doi.org/10.1016/j.omega.2019.102169
Reichmann, G., & Sommersguter-Reichmann, M. (2006). University library benchmarking: An international comparison using DEA. International Journal of Production Economics, 100(1), 131−147. https://doi.org/10.1016/j.ijpe.2004.10.007
Ruiz, J. L., & Sirvent, I. (2016). Common benchmarking and ranking of units with DEA. Omega, 65, 1−9. https://doi.org/10.1016/j.omega.2015.11.007
Ruiz, J. L., & Sirvent, I. (2020). Benchmarking within a DEA framework: Setting the closest targets and identifying peer groups with the most similar performances. International Transactions in Operational Research. https://doi.org/10.1111/itor.12779
Samoilenko, S., & Osei-Bryson, K.-M. (2019). A data analytic benchmarking methodology for discovering common causal structures that describe context-diverse heterogeneous groups. Expert Systems with Applications, 117, 330−344. https://doi.org/10.1016/j.eswa.2018.09.054
Sarkis, J. (2001). Benchmarking for agility. Benchmarking: An International Journal, 8(2), 88−107. https://doi.org/10.1108/14635770110389816
Sellitto, M. A., Pereira, G. M., Borchardt, M., Da Silva, R. I., & Viegas, C. V. (2015). A scor-based model for supply chain performance measurement: Application in the footwear industry. International Journal of Production Research, 53(16), 4917−4926. https://doi.org/10.1080/00207543.2015.1005251
Seol, H., Choi, J., Park, G., & Park, Y. (2007). A framework for benchmarking service process using data envelopment analysis and decision tree. Expert Systems with Applications, 32(2), 432−440. https://doi.org/10.1016/j.eswa.2005.12.012
Shabanpour, H., Yousefi, S., & Saen, R. F. (2017). Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA. Transportation Research Part D: Transport and Environment, 50, 129−143. https://doi.org/10.1016/j.trd.2016.10.022
Sharma, M. G., Debnath, R. M., Oloruntoba, R., & Sharma, S. M. (2016). Benchmarking of rail transport service performance through DEA for Indian railways. The International Journal of Logistics Management.
Sherman, H. D., & Zhu, J. (2006). Benchmarking with quality-adjusted DEA (Q-DEA) to seek lowercost high-quality service: Evidence from a U.S. bank application. Annals of Operations Research, 145(1), 301−319. https://doi.org/10.1007/s10479-006-0037-4
Silva, A. S., Medeiros, C. F., & Vieira, R. K. (2017). Cleaner production and PDCA cycle: Practical application for reducing the Cans Loss Index in a beverage company. Journal of Cleaner Production, 150, 324−338. https://doi.org/10.1016/j.jclepro.2017.03.033
Soheilirad, S., Govindan, K., Mardani, A., Zavadskas, E. K., Nilashi, M., & Zakuan, N. (2018). Application of data envelopment analysis models in supply chain management: A systematic review and meta-analysis. Annals of Operations Research, 271(2), 915−969. https://doi.org/10.1007/s10479-017-2605-1
Stewart, T. J. (1994). Data envelopment analysis and multiple criteria decision making: A response. Omega, 22(2), 205−206. https://doi.org/10.1016/0305-0483(94)90079-5
Stewart, T. J. (1996). Relationships between data envelopment analysis and multicriteria decision analysis. Journal of the Operational Research Society, 47(5), 654c665. https://doi.org/10.1057/jors.1996.77
Sufian, F. (2011a). Benchmarking the efficiency of the Korean banking sector: A DEA approach. Benchmarking: An International Journal, 18(1), 107−127. https://doi.org/10.1108/14635771111109841
Swanson, D. (2016). Transportation price benchmarking: Implications for firm performance. Benchmarking: An International Journal, 23(4), 1015−1026. https://doi.org/10.1108/BIJ-04-2015-0034
Trappey, A. J., & Chiang, T.-A. (2008). A DEA benchmarking methodology for project planning and management of new product development under decentralized profit-center business model. Advanced Engineering Informatics, 22(4), 438−444. https://doi.org/10.1016/j.aei.2008.06.003
Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact (pp. 285−320). Springer. https://doi.org/10.1007/978-3-319-10377-8_13
Wang, Y.-G. (2017). Benchmarking establishment for green building based on DEA and individual advantage identification. Journal of Interdisciplinary Mathematics, 20(6−7), 1459−1463. https://doi.org/10.1080/09720502.2017.1382157
Wong, W. P., & Wong, K. Y. (2008). A review on benchmarking of supply chain performance measures. Benchmarking, 15(1), 25−51. https://doi.org/10.1108/14635770810854335
Wu, H., Chen, B., Xia, Q., & Zhou, H. (2013). Ranking and benchmarking of the Asian games achievements based on DEA: The case of Guangzhou 2010. Asia-Pacific Journal of Operational Research, 30(06), 1350028. https://doi.org/10.1142/S0217595913500280
Wu, J., Liang, L., & Song, M. (2010). Performance based clustering for benchmarking of container ports: An application of DEA and cluster analysis technique. International Journal of Computational Intelligence Systems, 3(6), 709−722. https://doi.org/10.1080/18756891.2010.9727734
Wu, J., Zhu, Q., Chu, J., An, Q., & Liang, L. (2016). A DEA-based approach for allocation of emission reduction tasks. International Journal of Production Research, 54(18), 5618−5633. https://doi.org/10.1080/00207543.2016.1194537
Wu, W.-W. (2012). An integrated solution for benchmarking using DEA, gray entropy, and Borda count. The Service Industries Journal, 32(2), 321−335. https://doi.org/10.1080/02642069.2011.517833
Wu, W.-W., Lan, L. W., & Lee, Y.-T. (2013). Benchmarking hotel industry in a multi-period context with DEA approaches: A case study. Benchmarking: An International Journal, 20(2), 152−168. https://doi.org/10.1108/14635771311307650
Yasin, M. M. (2002). The theory and practice of benchmarking: Then and now. Benchmarking: An International Journal, 9(3), 217−243. https://doi.org/10.1108/14635770210428992
Yazdani, M., Wen, Z., Liao, H., Banaitis, A., & Turskis, Z. (2019). A grey combined compromise solution (CoCoSo-G) method for supplier selection in construction management. Journal of Civil Engineering and Management, 25(8), 858−874. https://doi.org/10.3846/jcem.2019.11309
Yeravdekar, S., & Behl, A. (2017). Benchmarking model for management education in India: A total interpretive structural modeling approach. Benchmarking, 24(3), 666−693. https://doi.org/10.1108/BIJ-06-2016-0082
Yoshida, Y., & Fujimoto, H. (2004). Japanese-airport benchmarking with the DEA and endogenousweight TFP methods: Testing the criticism of overinvestment in Japanese regional airports. Transportation Research Part E: Logistics and Transportation Review, 40(6), 533−546. https://doi.org/10.1016/j.tre.2004.08.003
Zhou, X., Luo, R., An, Q., Wang, S., & Lev, B. (2019). Water resource environmental carrying capacitybased reward and penalty mechanism: A DEA benchmarking approach. Journal of Cleaner Production, 229, 1294−1306. https://doi.org/10.1016/j.jclepro.2019.05.004
Žižka, M., Hovorková Valentová, V., & Turčok, L. (2016). Performance evaluation of Czech innovative companies: data envelopment analysis approach. International Journal of Strategic Property Management, 20(4), 427−438. https://doi.org/10.3846/1648715X.2016.1239592