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A field-standardized application of DEA to national-scale research assessment of universities

Citations

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Cited by:

  1. Abbas Sheikh Aboumasoudi & Saeed Mirzamohammadi Ahmad Makui & Ahmad Makui & Jolanta Tamošaitienė, 2016. "Development of Network-Ranking Model to Create the Best Production Line Value Chain: A Case Study in Textile Industry," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 215-234.
  2. Moncayo–Martínez, Luis A. & Ramírez–Nafarrate, Adrián & Hernández–Balderrama, María Guadalupe, 2020. "Evaluation of public HEI on teaching, research, and knowledge dissemination by Data Envelopment Analysis," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
  3. Meng, Qiaoyu & Li, Yi & Cao, Qinwei, 2024. "The paradox analysis and functional mechanism between R&D efficiency and transformation effect: Evidence from key universities in China," Technovation, Elsevier, vol. 130(C).
  4. Chen, Zhuo & Yang, Zhenbing & Yang, Lili, 2020. "How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
  5. Shuiqing Huang & Bo Yang & Sulan Yan & Ronald Rousseau, 2014. "Institution name disambiguation for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 823-838, June.
  6. Bertoletti, Alice & Berbegal-Mirabent, Jasmina & Agasisti, Tommaso, 2022. "Higher education systems and regional economic development in Europe: A combined approach using econometric and machine learning methods," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
  7. Gupta, Pankaj & Mehlawat, Mukesh Kumar & Aggarwal, Usha & Charles, V., 2021. "An integrated AHP-DEA multi-objective optimization model for sustainable transportation in mining industry," Resources Policy, Elsevier, vol. 74(C).
  8. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  9. Silva, Haroldo José Torres da & Marques, Pedro Valentim, 2021. "Heterogeneity in the productivity of sugar-energy mills in Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), February.
  10. Wuzhao Xue & Hua Li & Rizwan Ali & Ramiz ur Rehman & Gonzalo Fernández-Sánchez, 2021. "Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
  11. Amir Arjomandi & Mad Ithnin Salleh & Abbas Mohammadzadeh, 2015. "Measuring productivity change in higher education: an application of Hicks–Moorsteen total factor productivity index to Malaysian public universities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 630-643, October.
  12. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
  13. Alsaleh, Mohd & Abdul-Rahim, A.S., 2018. "Determinants of cost efficiency of bioenergy industry: Evidence from EU28 countries," Renewable Energy, Elsevier, vol. 127(C), pages 746-762.
  14. Ortega, Francisco J. & Gavilan, Jose M., 2013. "The measurement of production efficiency in scientific journals through stochastic frontier analysis models: Application to quantitative economics journals," Journal of Informetrics, Elsevier, vol. 7(4), pages 959-965.
  15. Marcel Clermont & Alexander Dirksen & Harald Dyckhoff, 2015. "Returns to scale of Business Administration research in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 583-614, May.
  16. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
  17. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2018. "Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences," Journal of Informetrics, Elsevier, vol. 12(3), pages 784-805.
  18. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
  19. Kunsch, Pierre L. & Ishizaka, Alessio, 2018. "Multiple-criteria performance ranking based on profile distributions: An application to university research evaluations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 154(C), pages 48-64.
  20. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "A sensitivity analysis of researchers’ productivity rankings to the time of citation observation," Journal of Informetrics, Elsevier, vol. 6(2), pages 192-201.
  21. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.
  22. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
  23. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
  24. Yang, Guo-liang & Fukuyama, Hirofumi & Song, Yao-yao, 2018. "Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model," Journal of Informetrics, Elsevier, vol. 12(1), pages 10-30.
  25. Oluwaseun Fadeyi & Petra Maresova & Ruzena Stemberkova & Micheal Afolayan & Funminiyi Adeoye, 2019. "Perspectives of University-Industry Technology Transfer in African Emerging Economies: Evaluating the Nigerian Scenario via a Data Envelopment Approach," Social Sciences, MDPI, vol. 8(10), pages 1-20, October.
  26. Zhihui Zhang & Ying Cheng & Nian Cai Liu, 2015. "Improving the normalization effect of mean-based method from the perspective of optimization: optimization-based linear methods and their performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 587-607, January.
  27. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2012. "A sensitivity analysis of research institutions’ productivity rankings to the time of citation observation," Journal of Informetrics, Elsevier, vol. 6(2), pages 298-306.
  28. Yaxuan Xie & Kejian Shi & Yuncong Yuan & Meijia Gu & Shihan Zhang & Kai Wang & Liangying Fu & Chao Shen & Zhanpeng Yuan, 2023. "Bibliometric Analysis Reveals the Progress of PM 2.5 in Health Research, Especially in Cancer Research," IJERPH, MDPI, vol. 20(2), pages 1-12, January.
  29. Lau, Kwok Hung, 2013. "Measuring distribution efficiency of a retail network through data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 146(2), pages 598-611.
  30. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2014. "Are the authors of highly cited articles also the most productive ones?," Journal of Informetrics, Elsevier, vol. 8(1), pages 89-97.
  31. Ghimire, Sarad & Amin, Saman Hassanzadeh & Wardley, Leslie J., 2021. "Developing new data envelopment analysis models to evaluate the efficiency in Ontario Universities," Journal of Informetrics, Elsevier, vol. 15(3).
  32. Ding, Lan & Zeng, Yao, 2015. "Evaluation of Chinese higher education by TOPSIS and IEW — The case of 68 universities belonging to the Ministry of Education in China," China Economic Review, Elsevier, vol. 36(C), pages 341-358.
  33. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2014. "Variability of research performance across disciplines within universities in non-competitive higher education systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 777-795, February.
  34. Yukun Shi & Duchun Wang & Zimeng Zhang, 2022. "Categorical Evaluation of Scientific Research Efficiency in Chinese Universities: Basic and Applied Research," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
  35. Nojavan, Majid & Heidari, Atefeh & Mohammaditabar, Davood, 2021. "A fuzzy service quality based approach for performance evaluation of educational units," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
  36. Shamohammadi, Mehdi & Oh, Dong-hyun, 2019. "Measuring the efficiency changes of private universities of Korea: A two-stage network data envelopment analysis," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
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