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Validation of multiple-item scale for measuring service quality in life insurance business: structural equation modelling approach

机译:验证用于衡量人寿保险业务服务质量的多项目量表:结构方程建模方法

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The purpose of this paper is to validate the multiple-item scale for measuring service quality in a way that it predicts customer satisfaction and patronage intentions in life insurance business in India. It has used structural equation modelling approach going after the model development strategy, which takes account of proposing a basic structural model framework and subsequently it improves the framework through modifications of competing structural models for arriving at the best-fit structural model. The multiple-item scale for measuring service quality in life insurance demonstrates good psychometric properties based on findings from a variety of reliability and validity tests and builds on the research already conducted on the topic. This study has established that a satisfied life insurance customer is not necessarily a loyal one as the best-fit structural model does not include patronage intention. Based on the significant relationships observed in the best-fit structural model, content, welcome and alignment are identified as the main factors of service quality in life insurance business; and service quality has not been found to be leading to customer satisfaction significantly. This study suffers from methodological limitations associated with convenience sampling and anonymous survey-based research.
机译:本文的目的是验证一种用于衡量服务质量的多项目量表,以预测印度人寿保险业务中的客户满意度和光顾意向。它采用结构方程建模方法来遵循模型开发策略,该方法考虑了提出基本的结构模型框架,并随后通过修改竞争性结构模型来改进框架以达到最佳拟合结构模型。用于衡量人寿保险服务质量的多项目量表基于各种可靠性和有效性测试的结果,并以该主题已经进行的研究为基础,展示了良好的心理计量学特性。这项研究已经确定,满意的人寿保险客户不一定是忠诚的客户,因为最合适的结构模型不包括惠顾意图。根据在最佳结构模型中观察到的重要关系,内容,欢迎程度和一致性被确定为人寿保险业务服务质量的主要因素;尚未发现服务质量可显着提高客户满意度。这项研究受到便利抽样和基于匿名调查的研究相关的方法学限制。

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