PERFORMANCE EVALUATION OF NON-LIFE INSURANCE COMPANIES WITH BEST-WORST METHOD AND TOPSIS
Like in any other field, performance of a company in the insurance industry is the key factor of gaining competitive advantage and market share. In this study, insurance companies are ranked according to their 2016 performance indicators using a two-step hybrid MCDM method including BWM and TOPSIS. Only the non-life insurance companies are used in the study. BWM is one of the relatively new MCDM methods, which has an advantage of using less comparison, measuring the consistency between the pair-wise comparisons and giving interval analysis for multi-optimal situations. In the proposed methodology, BWM is used to calculate the criterion weights and TOPSIS to rank the alternatives. The solutions found are consistent with the real life market shares of the insurance companies.
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- Ahmad, W. N., Wan, K., Rezaei, J., Sadaghiani, S., & Tavasszy, L. A. (2017). Evaluation of the
external forces affecting the sustainability of oil and gas supply chain using best worst method.
Journal of Cleaner Production, 153, 242-252.
- Akhisar, I., & Tunay, N. (2015). Performance ranking of Turkish life insurance companies using AHP
and TOPSIS. Management International Conference. Portoroz, Slovenia.
- Aktan, H. E., & Tosun, Ö. (2013). An integrated fuzzy AHP–fuzzy TOPSIS approach for AS/RS selection.
International Journal of Productivity and Quality Management, 11(2), 228-245.
- Altan, M. S. (2010). Türk sigortacılık sektöründe etkinlik: Veri zarflama analizi yöntemi ile bir uygulama.
Gazi Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 12(1), 185-204.
- Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy.
The Journal of Finance, 23(4), 589-609.
- Bawa, S. K., & Chattha, S. (2013). Financial performance of life insurers in Indian insurance industry.
Pacific Business Review International, 6(5), 44-52.
- Chang, S. H., Wu, T. C., Tseng, H. E., Su, Y. J., & Ko, C. C. (2012). Media mix decision support
for schools based on analytic network process. International Journal of Industrial Engineering,
19(7), 297-304.
- Cummins, J. D., Weiss, M. A., Xie, X., & Zi, H. (2010). Economies of scope in financial services: A
DEA efficiency analysis of the US insurance industry. Journal of Banking & Finance, 34(7),
1525-1539.
- Cummins, J. D., & Weiss, M. A. (2014). Systemic risk and the US insurance sector. Journal of Risk and
Insurance, 81(3), 489-528.
- Eling, M., & Luhnen, M. (2010). Efficiency in the international insurance industry: A cross-country
comparison. Journal of Banking & Finance, 34(7), 1497-1509.
- Ghaffari, S., Arab, A., Nafari, J., & Mangehti, M. (2017). Investigation and evaluation of key success
factors in technological innovation development based on BWM. Decision Science Letters, 6,
295-306.
- Gupta, H., & Barua, M. K. (2016). Identifying enablers of technological innovation for Indian MSMEs
using best–worst multi criteria decision making method. Technological Forecasting and Social
Change, 107, 69-79.
- Gupta, P., Anand, S., & Gupta, H. (2017). Developing a roadmap to overcome barriers to energy efficiency
in buildings using best worst method. Sustainable Cities and Society, 31, 244-259.
- Klumpes, P. J. M. (2004). Performance benchmarking in financial services: Evidence from the UK life
insurance industry. The Journal of Business, 77(2), 257-273.
- Mohaghar, A., Sahebi, I. G., & Arab, A. (2017). Appraisal of humanitarian supply chain risks using bestworst
method. International Journal of Social, Behavioral, Educational, Economic, Business and
Industrial Engineering, 11(2), 259-264.
- Özcan, A. İ. (2011). Türkiye’de hayat dışı sigorta sektörünün 2002-2009 dönemi itibariyle etkinlik analizi.
Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, 9(1), 61-78.
- Özdemir, M. (2015). TOPSIS işletmeciler, mühendisler ve yöneticiler için operasyonel, yönetsel ve
stratejik problemlerin çözümünde çok kriterli karar verme. B.F. Yıldırım, E. Önder (Eds.),
Bursa:Dora Basım-Yayın.
- Ren, J., Liang, H., & Chan, F. T. S. (2017). Urban sewage sludge, sustainability, and transition for
eco-city: Multi-criteria sustainability assessment of technologies based on best-worst method.
Technological Forecasting and Social Change, 116, 29-39.
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
- Rezaei, J., Wang, J., & Tavasszy, L. (2015). Linking supplier development to supplier segmentation using
best-worst method. Expert Systems with Applications, 42, 9152-9164.
- Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach
integrating traditional and environmental criteria using the best worst method. Journal of Cleaner
Production, 135, 577-588.
- Rezaei, J., Hemmes, A., & Tavasszy, L. (2017). Multi-criteria decision-making for complex bundling
configurations in surface transportation of air freight. Journal of Air Transport Management, 61,
91-105.
- Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model.
Omega, 64, 126-130.
- Saeedpoor, M., Vafadarnikjoo, A., Mobin, M., & Rastegari, A. (2015). A servqual model approach
integrated with fuzzy AHP and fuzzy TOPSIS methodologies to rank life insurance firms.
Proceedings of the International Annual Conference of the American Society for Engineering
Management, American Society for Engineering Management (ASEM).
- Salimi, N., & Rezaei, J. (2016). Measuring efficiency of university-industry Ph.D. projects using best
worst method. Scientometrics, 109(3), 911-1938.
- Shen, K. Y., Hu, S. K., & Tzeng, G. H. (2017). Financial modeling and improvement planning for the
life insurance industry by using a rough knowledge-based hybrid MCDM model. Information
Sciences, 375, 296-313.
- Taha, Z., Salaam, H. A., Phoon, S. Y., Tuan, Ya T. M. Y. S., & Mohamad, M. R. (2015). Application
of integrated sustainability assessment: Case study of a screw design. International Journal of
Industrial Engineering, 22(1), 1-10.
- Tsai, T. N., & Tsai, C. W. (2014). Development of a closed-loop diagnosis system for reflow soldering
using neural networks and support vector regression. International Journal of Industrial
Engineering, 21(1), 18-32.
- Turgutlu, E., Kök, R., & Kasman, A. (2007). Türk sigortacılık şirketlerinde etkinlik: Deterministik ve
şans kısıtlı veri zarflama analizi. İktisat İşletme ve Finans, 22(251), 85-102.
- Tuş Işık, A. (2016). QUALIFLEX and ORESTE methods for the insurance company selection problem.
Alphanumeric Journal, 4(2), 55-68.
- Vadlamannati, K. C. (2008). Do insurance sector growth and reforms affect economic development?
Empirical evidence from India. Margin: The Journal of Applied Economic Research, 2(1), 43-86.
- Venkateswarlu, R., & Rao, B. S. S. (2016). Profitability evaluation and ranking of Indian non-life insurance
firms using GRA and TOPSIS. Journal of Insurance and Financial Management, 2(2), 59-89.
- Wu, D, Yang, Z., Vela, S., & Liang, L. (2007). Simultaneous analysis of production and investment
performance of Canadian life and health insurance companies using data envelopment analysis.
Computers & Operations Research, 34(1), 180-198.