Factors influence switching intention to m-payment using push-pull-mooring framework during the coronavirus pandemic in Malaysia
List of Authors
  • Amirul Aizad Abdullah , Anas Fathul Ariffin

Keyword
  • General insurer, Data Envelopment Analysis, general insurance, efficiency

Abstract
  • This study aims to get an overview about the efficiencies of the general insurance companies operating in Malaysia. Data Envelopment Analysis (DEA) approach is used to evaluate the management efficiency and profitability of general insurers either local or foreign insurance companies for the period 2015-2018. Indeed, a two-stage approach to data envelopment analysis (2S-DEA) methodology is used to decompose the typical two-stage operating process of general insurance undertakings in a single intermediate operation. Based on the result, the companies seen not very efficient from the past four years. In addition, the general insurance companies in Malaysia shows a declining trend in their efficiencies. However, in between local and foreign insurance companies, it seen that the foreign companies are more efficient than the local companies since it has the large range of efficient value. These findings would benefit consumers and Malaysia 's insurance societies such as insurers and policy makers

Reference
  • 1. Ahmad, W. M. A. W., Nawi, M. A. A., & Aleng, N. A. (2013). Relative efficiency analysis industry of life and general insurance in Malaysia using Stochastic Frontier Analysis (SFA). Applied Mathematical Sciences, 7(21–24), 1107–1118

    2. Baharin, R., & Isa, Z. (2013). The efficiency of life insurance and family Takaful in Malaysia: Relative efficiency using the stochastic cost frontier analysis. AIP Conference Proceedings, 1522(2007), 1098–1104. https://doi.org/10.1063/1.4801253

    3. Dash, M., & Muthyala, A. (2018). Cost efficiency of Indian life insurance service providers using data envelopment analysis. Asian Journal of Finance & Accounting, 10(1), 59. https://doi.org/10.5296/ajfa.v10i1.12199

    4. Faruk, M. O., & Rahaman, A. (2015). Measuring efficiency of conventional life insurance companies in Bangladesh and takaful life insurance companies in Malaysia: a non-parametric approach. Management Studies and Economic Systems, 2(2), 129–144. https://doi.org/10.12816/0019398

    5. Jaiyeoba, H. B., & Haron, R. (2015). Technical efficiency of Nigerian insurance companies : A Data Envelopment Analysis and Latent Growth Curve Modelling Approach. International Journal of Data Envelopment Analysis, 3(2), 659–677.

    6. Kaffash, S., & Marra, M. (2017). Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies, and money market funds. Annals of Operations Research, 253(1), 307–344. https://doi.org/10.1007/s10479-016-2294-1

    7. Mehari, D., & Aemiro, T. (2013). Firm specific factors that determine insurance companies’ performance in Ethiopia. European Scientific Journal, 9(10), 245–255.

    8. Nandi, J. K. (2014). Relative efficiency analysis of selected life insurers in India using data envelopment analysis. Pacific Business Review International, 6(8), 69–76.

    9. Ozcan, Y. A. (2014). Health care benchmarking and performance evaluation: An Assessment using Data Envelopment Analysis (DEA). United Stated: Springer US.

    10. Persatuan Insurans Am Malaysia (2019). General insurance industry dipped 1.4% in the first half of 2019. Retrived August 27, 2021, from https://piam.org.my/blog/2019/08/27/general-insurance-industry-dipped-1-4-in-the-first-half-of-2019/

    11. Ramli, N. A., Mohd Khairi, S., & Razlan, N. (2018). Performance measurement of Islamic and conventional bank in Malaysia using two stage analysis of DEA model. International Journal of Academic Research in Business & Social Sciences, 8(4), 1185-1197.

    12. Zimková, E. (2015). Technical efficiency and super-efficiency of the insurance sector in Slovakia. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(6), 2205–2211. https://doi.org/10.11118/actaun201563062205