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Service quality modelling for life insurance business using neural networks

机译:使用神经网络的人寿保险业务服务质量建模

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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.
机译:经营一家成功的人寿保险公司的目的是正确构造人寿保险产品,这要求最大程度地降低业绩预期差距。人寿保险业务不仅涉及支付索赔,还涉及各利益相关者的多重期望。在服务质量方面进行了大量研究;但是,对于适用于人寿保险业务的服务质量神经网络缺乏严格的审查。这项研究试图批判性地检查适用于测量服务质量的神经网络的五种可能组合。设计了一种调查工具来收集来自印度人寿保险业务各个利益相关者的数据,并已使用神经网络对其进行了分析。提出了对所有神经网络的关键利益相关者的比较分析。

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