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An Empirical Comparison on the Efficiency of Healthcare Companies in Malaysia with Data Envelopment Analysis Model
Current Issue
Volume 4, 2017
Issue 1 (February)
Pages: 1-5   |   Vol. 4, No. 1, February 2017   |   Follow on         
Paper in PDF Downloads: 92   Since Jan. 23, 2017 Views: 834   Since Jan. 23, 2017
Authors
[1]
Lam Weng Siew, Department of Physical and Mathematical Science, Faculty of Science, UniversitiTunku Abdul Rahman, Kampar Campus, Kampar, Perak, Malaysia.
[2]
Liew Kah Fai, Centre for Mathematical Sciences, UniversitiTunku Abdul Rahman, Kampar Campus, Kampar, Perak, Malaysia.
[3]
Lam Weng Hoe, Centre for Business and Management, UniversitiTunku Abdul Rahman, Kampar Campus, Kampar, Perak, Malaysia.
Abstract
Performance measurement of the company is significantly depends on their operational efficiency. The efficiency evaluation is an assessment for the company to determine their capability to maximize the outcomes with minimal level of inputs. The objective of this paper is to apply Data Envelopment Analysis (DEA) model to evaluate and compare the relative efficiency of the healthcare sector companies in Malaysia. In DEA model, the efficiency of the companies is determined as the ratio of sum-weighted outputs to sum-weighted inputs. In this study, the data consists of 12 companies from the healthcare sector in Malaysia from year 2011 to 2015. The results of this study show that ADVENTA, AHEALTH and KOTRA are ranked as efficient companies. This implies that these companies are in optimal control of their resources or inputs to generate maximum outputs. Therefore, these efficient companies can serve as the benchmark to other inefficient companies for further improvement. This study is significant because the DEA model can help to identify the efficient companies from the healthcare sector in Malaysia based on multiple outputs and inputs.
Keywords
Healthcare Company, Data Envelopment Analysis, Efficiency, Linear Programming Model
Reference
[1]
A. Charnes, W. W. Cooper and E. Rhodes, “Measuring the efficiency of decision making units,” European Journal of Operational Research, Vol. 2, no. 6, pp. 429-444, 1978.
[2]
R. Banker, A. Charnes and W. W. Cooper, “Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis,” Management Science, Vol. 30, no. 9, pp. 1078-1092, 1984.
[3]
A. M. Al-Shayea, “Measuring hospital’s units efficiency: A Data Envelopment Analysis approach,” International Journal of Engineering & Technology, Vol. 11, no. 6, pp. 7-14, 2011.
[4]
S. P. Mogha, S. P. Yadav and S. P. Singh, “Performance evaluation of Indian private hospitals Using DEA approach with sensitivity analysis,” International Journal of Advances in Management and Economics, Vol. 1, no. 2, pp. 1-12, 2012.
[5]
A. R. Hernandez and M. S. Sebastian, “Assessing the technical efficiency of health posts in rural Guatemala: A Data Envelopment Analysis,” Global Health Action, Vol. 7, no. 1, pp. 1-9, 2014.
[6]
W. M. Lu, W. K. Wang and Q. L. Kweh, “Intellectual capital and performance in the Chinese life insurance industry,” Omega, Vol. 42, no. 1, pp. 65-74, 2014.
[7]
Bursa Malaysia, Company Announcements | Bursa Malaysia Market. [online] Available at: [Accessed 1 December 2016].
[8]
K. F. Liew, W. S. Lam and W. H. Lam, “Financial analysis on the company performance in Malaysia with multi-criteria decision making model,” System Science and Applied Mathematics, Vol. 1, no. 1, pp. 1-7, 2016.
[9]
V. M. Dalfard, A. Sohrabian, A. M. Najafabadi and J. Alvani, “Performance evaluation and prioritization of leasing companies using the super efficiency Data Envelopment Analysis model,” ActaPolytechnicaHungarica, Vol. 9, no. 3, pp. 183-194, 2012.
[10]
S. Hasanloo, E. Karim, M. R. Mehregan and R. Tehrani, “Evaluating performance of companies by new management tools,” Journal of Natural and Social Sciences, Vol. 2, no. 3, pp. 165-169, 2013.
[11]
L. Zamani, R. Beegam and S. Borzoian, “Portfolio selection using Data Envelopment Analysis (DEA): A case of select Indian investment companies,” International Journal of Current Research and Academic Review, Vol. 2, no. 4, pp. 50-55, 2014.
[12]
M. A. M. Kabajeh, S. M. A. A. Nu’aimat and F. N. Dahmash, “The relationship between the ROA, ROE and ROI ratios with Jordanian Insurance Public Companies market share prices,” International Journal of Humanities and Social Science, Vol. 2, no. 11, pp. 115-120, 2012.
[13]
P. Östring, Profit-Focused Supplier Management. United State: American Management Association International, 2003.
[14]
M. K. Ercan and U. Ban, Financial Management. Ankara: Fersa Publication, Gazi Copy Purchaser, 2005.
[15]
O. Akguc, Financial Statement Analysis. 13rd ed. Istanbul: Arayis Publication, 2010.
[16]
M. M. Martic, M. S. Novakovic and A. Baggia, “Data Envelopment Analysis – Basic models and their utilization,” Organizacija, Vol. 42, no. 2, pp. 37-43, 2009.
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