题名

Evaluating Human Resource Efficiencies of Mongolian Hospitals with network DEA

DOI

10.6186/IJIMS.2017.28.3.1

作者

Han-Ying Kao;Temuulen Bold

关键词

Network data envelopment analysis (NDEA) ; multi-objective programming (MOP) ; mongolian hospitals ; human resource efficiencies

期刊名称

International Journal of Information and Management Sciences

卷期/出版年月

28卷3期(2017 / 09 / 01)

页次

177 - 194

内容语文

英文

中文摘要

This study proposes the network data envelopment analysis (NDEA) models for evaluating the human resource efficiencies of Mongolian hospitals. In the proposed NDEA multi- objective programming (NDEA-MOP) model, the efficiency of each division (within a hospital) and the overall efficiency of a hospital are formulated as different objective functions. Using the fuzzy approach, the overall as well as the divisional efficiencies can be computed in a cohesive framework. We conduct the case study of the Mongolian hospitals with the data from the Health Statistics Department of the Government Implementing Agency- Department of Health of Mongolia. The results show that NDEA-MOP obtains satisfactory and discriminating efficiency scores compared with related studies.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
参考文献
  1. State Implementing Agency of Health, Mongolia (2011). Health Indicators.
  2. State Implementing Agency of Health, Mongolia (2010). Health Indicators.
  3. State Implementing Agency of Health, Mongolia (2011). Mongolian Statistic Yearbook 2010.
  4. Banker, R. D.,Charnes, A.,Cooper, W. W.(1984).Some models for estimating technical and scale inefficiencies in data envelopment analysis.Management Science,30,1078-1092.
  5. Charnes, A.,Cooper, W. W.,Rhodes, E.(1987).Measuring the efficiency of decision making units.European Journal of Operational Research,2,429-444.
  6. Cook, W. D.,Liang, L.,Zhu, J.(2010).Measuring performance of two-stage network structures by DEA: A review and future perspective.Omega,38,423-430.
  7. Cook, W. D.,Zhu, J.,Bi, G.,Yang, F.(2012).Network DEA: Additive efficiency decomposition.European Journal of Operational Research,207,1122-1129.
  8. Fre, R.,Grosskopf, S.(1996).Intertemporal Production Frontiers: With Dynamic DEA.Boston.:Kluwer Academic Publishers.
  9. Fukuyama, H.,Mirdehghan, S.M.(2012).Identifying the efficiency status in network DEA.European Journal of Operational Research,220,85-92.
  10. Gantugs, Y.,Tseden, P.,Chimedsuren, O.(2011).Measuring technical efficiency through data envelopment analysis: an application to district health department of Ulaanbaatar.Mongolian Journal of Health Sciences,8,115-119.
  11. Gen, M.,Cheng, R.,Lin, L.(2008).Network Models and Optimization- Multiobjective Genetic Algorithm Approach.Springer.
  12. Gitizadeh, M.,Aghaei, J.(2014).Dynamic security consideration in multiobjective electricity markets.Applied Soft Computing,16,1-9.
  13. Harrison, J.P,Sexton, C.(2006).Improving efficiency frontier religious not-for-profit hospitals.Hospital Topics,84,2-10.
  14. Hu, J.-L.,Huang, Y.-F.(2004).Technical efficiencies in large hospitals: A managerial perspective.International Journal of Management,21,506-517.
  15. Kawaguchi, H.,Tone, K.,Tsutsui, M.(2014).Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model.Health Care Management Science,17,101-112.
  16. Kazley, A. S.,Ozcan, Y. A.(2009).Electronic medical record use and efficiency: A DEA and windows analysis of hospitals.Socio-Economic Planning Sciences,43,209-216.
  17. 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.
  18. Kim, C. G. H.(2011).Health care in Mongolia.The Journal of Global Health
  19. Lee, E. S.,Li, R. J.(1993).Fuzzy multiple objective programming and compromise programming with Pareto optimum.Fuzzy Sets Syst.,53,275-288.
  20. Leleu, H.,Moises, J.,Valdmanis, V. G.(2014).How do payer mix and technical inefficiency affect hospital profit? A weighted DEA approach.Operations Research for Health Care,3,231-237.
  21. Lewis, H. F.,Sexton, T. R.(2004).Network DEA: Efficiency analysis of organisations with complex internal structure.Computers and Operations Research,31,1365-1410.
  22. 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,243,302-311.
  23. Munkhsaikhan, S.,Tsai, A. C.,Chang, M.-C.(2011).Technical efficiency of public hospitals in Mongolia.HealthMed,5,344-349.
  24. Niknam, T.,Narimani, Aghaei M. J.,Abarghooee, R. A.(2012).Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index.IET Generation, Transmission and Distribution,6,515-527.
  25. Shayanfar, H.A.,Lahiji, A. S.,Aghaei, J.,Rabiee, A.(2009).Generation Expansion Planning in pool market: A hybrid modified game theory and improved genetic algorithm.Energy Conversion and Management,50,1149-1156.
  26. Tone, K.,Tsutsui, M.(2009).Network DEA: A slacks-based measure approach.European Journal of Operational Research,197,243-252.
  27. Tzeng, G.-H.,Huang, J.-J.(2014).Fuzzy Multiple Objective Decision Making.Taylor & Francis Group, CRC Press.
  28. Varabyova, Y.,Schreygg, J.(2013).International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches.Health Policy,112,70-79.
  29. Zimmermann, H. J.(1978).Fuzzy programming and linear programming with several objective functions.Fuzzy Sets and Systems,1,45-55.