Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
권호 표지
DOI QR코드

DOI QR Code

Comparison between Social Network Based Rank Discrimination Techniques of Data Envelopment Analysis: Beyond the Limitations

사회 연결망 분석 기반 자료포락분석 순위 결정 기법간 비교와 한계 극복 방안에 대한 연구

  • 강희재 (금오공과대학교 경영학과)
  • Received : 2022.09.23
  • Accepted : 2023.02.22
  • Published : 2023.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

It has been pointed out as a limitation that the rank of some efficient DMUs(decision making units) cannot be discriminated due to the relativity nature of efficiency measured by DEA(data envelopment analysis), comparing the production structure. Recently, to solve this problem, a DEA-SNA(social network analysis) model that combines SNA techniques with data envelopment analysis has been studied intensively. Several models have been proposed using techniques such as eigenvector centrality, pagerank centrality, and hypertext induced topic selection(HITS) algorithm, but DMUs that cannot be ranked still remain. Moreover, in the process of extracting latent information within the DMU group to build effective network, a problem that violates the basic assumptions of the DEA also arises. This study is meaningful in finding the cause of the limitations by comparing and analyzing the characteristics of the DEA-SNA model proposed so far, and based on this, suggesting the direction and possibility to develop more advanced model. Through the results of this study, it will be enable to further expand the field of research related to DEA.

Keywords

Acknowledgement

이 연구는 금오공과대학교 학술연구비로 지원되었음(2021)

References

  1. 곽기영, "소셜네트워크분석", 청람, 2014.
  2. 김성희, 장로사, "사회 연결망 분석 연구동향 및 정보학 분야에서의 활용가능성에 관한 연구", 정보관리 학회지, 제27권, 제4호, 2010, 71-87. https://doi.org/10.3743/KOSIM.2010.27.4.071
  3. 김창희, 이규석, 김수욱, "IT 기업의 R&D 투자 및 운영 효율성 분석: 서비스업 및 제조업의 비교를 중심으로", 한국IT서비스학회지, 제15권, 제2 호, 2016, 51-63. https://doi.org/10.9716/KITS.2016.15.2.051
  4. 이형진, 정선양, "DEA 를 활용한 국방연구개발사업의 효율성 분석", 한국기술혁신학회 학술대회, 2015, 355-363.
  5. Adler, N., L. Friedman, and Z. Sinuany-Stern, "Review of ranking methods in the data envelopment analysis context", European Journal of Operational Research, Vol.140, 2002, 249-265. https://doi.org/10.1016/S0377-2217(02)00068-1
  6. Aldamak, A. and S. Zolfaghari, "Review of efficiency ranking methods in data envelopment analysis", Measurement, Vol.106, 2017, 161-172. https://doi.org/10.1016/j.measurement.2017.04.028
  7. Andersen, P. and N.C. Petersen, "A procedure for ranking efficient units in data envelopment analysis", Management Science, Vol.39, No.10, 1993, 1261-1264. https://doi.org/10.1287/mnsc.39.10.1261
  8. Ang, S., R. Zheng, F. Wei, and F. Yang, "A modified DEA-based approach for selecting preferred benchmarks in social networks", Journal of the Operational Research Society, Vol.72, No.2, 2021, 342-353. https://doi.org/10.1080/01605682.2019.1671155
  9. Angulo-Meza, L. and M.P.E. Lins, "Review of methods for increasing discrimination in data envelopment analysis", Annals of Operations Research, Vol.116, 2002, 225-242. https://doi.org/10.1023/A:1021340616758
  10. Banker, R.D., A. Charnes, and W.W. Cooper, "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Management Science, Vol.30, No.9, 1984, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  11. Bardhan, I., W.F. Bowlin, W.W. Cooper, and T. Sueyoshi, "Models and measures for efficiency dominance in DEA", Journal of the Operations Research Society of Japan, 1996.
  12. Bonacich, P., "Technique for analyzing overlapping memberships. In: Costner H (ed)", Sociological Methodology, Jossey-Bass: San Francisco, 1972, 176-185.
  13. Boussofiane, A., R.G. Dyson, and E. Thanassoulis, "Applied Data Envelopment Analysis", Euro pean Journal of Operational Research, Vol.52, No.1, 1991, 1-15. https://doi.org/10.1016/0377-2217(91)90331-O
  14. Charnes, A., W.W. Cooper, and E. Rhodes, "Measuring the efficiency of decision making units", European Journal of Operational Research, Vol.2, No.6, 1978, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  15. Chen, Y., "Ranking efficient units in DEA", Omega, Vol.32, No.3, 2004, 213-219. https://doi.org/10.1016/j.omega.2003.11.001
  16. de Blas, C.S., J.S. Martin, and D.G. Gonzalez, "Combined social networks and data envelopment analysis for ranking", European Journal of Operational Research, Vol.266, No.3, 2018, 990-999. https://doi.org/10.1016/j.ejor.2017.10.025
  17. Doyle, J.R. and R.H. Green, "Efficiency and crossefficiency in DEA: Derivations, meanings and uses", Journal of the Operational Research Society, Vol.45, 1994, 567-578. https://doi.org/10.1057/jors.1994.84
  18. Izadikhah, M., and R. Farzipoor Saen, "A new data envelopment analysis method for ranking decision making units: An application in industrial parks", Expert Systems, Vol.32, No.5, 2015, 596-608. https://doi.org/10.1111/exsy.12112
  19. Katz, L., "A new status index derived from sociometric analysis", Psychometrika, Vol.18, No.1, 1953, 39-43. https://doi.org/10.1007/BF02289026
  20. Kleinberg, J., "Authoritative sources in a hyperlinked environment", Journal of the ACM, Vol.46, 1999, 604-632. https://doi.org/10.1145/324133.324140
  21. Leem, B.H. and H. Chun, "Measuring the influence of efficient ports using social network metrics", International Journal of Engineering Business Management, Vol.7, No.1, 2015, doi.org/10.5772/60040.
  22. Liu, J., J. Zhang, and Z. Fu, "Tourism eco-efficiency of Chinese coastal cities-Analysis based on the DEA-Tobit model", Ocean & Coastal Management, Vol.148, 2017, 164-170.
  23. Liu, J.S., W.M. Lu, C. Yang, and M. Chuang, "A network-based approach for increasing discrimination in data envelopment analysis", Journal of the Operational Research Society, Vol.60, No.11, 2009, 1502-1510. https://doi.org/10.1057/jors.2009.35
  24. Moutinho, V., M. Madaleno, and P. Macedo, "The effect of urban air pollutants in Germany: eco-efficiency analysis through fractional regression models applied after DEA and SFA efficiency predictions", Sustainable Cities and Society, Vol.59, 2020, 102204.
  25. Nunamaker, T.R., "Using data envelopment analysis to measure the efficiency of NonProfit organizations: A critical evaluation", Managerial and decision Economics, Vol.6, No.1, 1985, 50-58. https://doi.org/10.1002/mde.4090060109
  26. Otte, E. and R. Rousseau, "Social network analysis: a powerful strategy, also for the information sciences", Journal of information Science, Vol.28, No.6, 2002, 441-453. https://doi.org/10.1177/016555150202800601
  27. Perelman, S. and D. Santin, "How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement", European Journal of Operational Research, Vol.199, No.1, 2009, 303-310. https://doi.org/10.1016/j.ejor.2008.11.013
  28. Shetty, U. and T.P.M. Pakkala, "Ranking efficient DMUs based on single virtual inefficient DMU in DEA", Opsearch, Vol.47, No.1, 2010, 50-72. https://doi.org/10.1007/s12597-010-0004-3
  29. Simar, L. and P.W. Wilson, "Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models", Management Science, Vol.44, No.1, 1998, 49-61. https://doi.org/10.1287/mnsc.44.1.49
  30. Sullivan, D., "What is google pagerank? A guide for searchers & webmasters", Search engine land, 2007, 070426-011828.
  31. Tone, K., "A slack-based measure of superefficiency in data envelopment analysis", European Journal of Operational Research, Vol.143, 2002, 32-41. https://doi.org/10.1016/S0377-2217(01)00324-1
  32. Wang, D.D., "Performance assessment of major global cities by DEA and Malmquist index analysis", Computers, Environment and Urban Systems, Vol.77, 2019, 101365.
  33. Wang, Y.M. and Y. Luo, "DEA efficiency assessment using ideal and anti-ideal decision making units", Applied mathematics and computation, Vol.173, No.2, 2006, 902-915. https://doi.org/10.1016/j.amc.2005.04.023