Customer Lifetime Value of Supplementary Health Insurance: An Analytical Model

Background: With the number of insurance customers growing, insurance companies are trying new ways to retain customers and streamline communication channels to avoid loss of revenue. The present study set out to develop a model for a reliable analysis of customer lifetime value. Methods: The presen...

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Main Authors: Roohollah Dehghani Ghale (Author), Farzad Karimi (Author), Hassan Ghorbani Dinani (Author)
Format: Book
Published: Shahid Sadoughi University of Medical Sciences, 2021-10-01T00:00:00Z.
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100 1 0 |a Roohollah Dehghani Ghale  |e author 
700 1 0 |a Farzad Karimi  |e author 
700 1 0 |a Hassan Ghorbani Dinani  |e author 
245 0 0 |a Customer Lifetime Value of Supplementary Health Insurance: An Analytical Model 
260 |b Shahid Sadoughi University of Medical Sciences,   |c 2021-10-01T00:00:00Z. 
500 |a 2538-5070 
500 |a 2538-4716 
520 |a Background: With the number of insurance customers growing, insurance companies are trying new ways to retain customers and streamline communication channels to avoid loss of revenue. The present study set out to develop a model for a reliable analysis of customer lifetime value. Methods: The present study was exploratory mixed method in design. The study took place in Jundishapur University of Medical Sciences, located in Ahvaz, Iran. A total of 402 insurance experts and university staffers participated in the study. A cross-sectional data collection was done using semi-structured interviews (n = 22) and a questionnaire (n = 380). The latter was validated via a panel of content area experts, criterion-dependent validity (second-order confirmatory factor analysis), and divergent validity (cross-sectional load test and Fornell-Laker). Cronbach's alpha and combined reliability were - 0.8 and 0.8, respectively. A structural equation approach was employed to analyze data using Smart PLS software. Results: Customer loyalty with an impact factor of 0.60 and T-statistic of 5.79, profitability with an impact factor of 0.55 and T-statistic of 3.75, customer co-creation with an impact factor of 0.28, and T-statistic of 2.7 have been identified as dimensions of customer lifetime value. Conclusion: Measuring customer lifetime value to implement various strategies requires a deep understanding of such value dimensions as loyalty, profitability, and value creation. 
546 |a EN 
690 |a customer lifetime value 
690 |a supplementary health insurance 
690 |a customer loyalty 
690 |a customer profitability 
690 |a customer value co-creativity 
690 |a Medicine 
690 |a R 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Evidence Based Health Policy, Management & Economics, Vol 5, Iss 4, Pp 267-275 (2021) 
787 0 |n http://jebhpme.ssu.ac.ir/article-1-343-en.html 
787 0 |n https://doaj.org/toc/2538-5070 
787 0 |n https://doaj.org/toc/2538-4716 
856 4 1 |u https://doaj.org/article/8c29b4b6e43c4225808f083f99f8fba9  |z Connect to this object online.