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Service quality modelling for life insurance business using neural networks

Author

Listed:
  • Anand Prakash
  • R.P. Mohanty
  • S.P. Kallurkar

Abstract

Running a successful life insurance company is about right structuring the life insurance products, which calls for minimising the performance-expectation gap. The life insurance business is not just about paying claims, but involves multiple expectations from various stakeholders. A lot of research has been carried out in the area of service quality; however, there is a paucity of critical examination of service quality neural networks applicable to life insurance business. The study attempts to critically examine five possible combinations of neural networks as applicable to measure service quality. A survey instrument has been designed to collect data from various stakeholders in Indian life insurance business, and have been analysed by using neural networks. A comparative analysis of all neural networks for key stakeholders is presented.

Suggested Citation

  • Anand Prakash & R.P. Mohanty & S.P. Kallurkar, 2011. "Service quality modelling for life insurance business using neural networks," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 7(3), pages 263-286.
    • Handle: RePEc:ids:ijpqma:v:7:y:2011:i:3:p:263-286
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    Cited by:

    1. Hany A. Saleh & Abdelkader Derbali, 2020. "The Importance of Internal and External Factors in Defining the Profitability of UK Insurance Companies," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 10(4), pages 25-39.
    2. Sorizo, Reena Beth & Densing, Filjhon & Tura, Regine & Balacy, Garnette Mae, 2016. "Characterizing Life Insurance Marketing: Clients' Perspectives," MPRA Paper 74941, University Library of Munich, Germany, revised 17 Nov 2016.

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