Investigating factors for using insurance apps by customers: a study of a developing country

With the fast development of insurtech, many researchers are doing research in understanding customer behavior regarding the adoption of insurance applications. However, there is a lack of research on the subject in developing countries such as Vietnam. The primary purpose of this article is to deve...

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Bibliographic Details
Published in:Journal of Banking and Financial Technology Vol. 6; no. 2; pp. 149 - 157
Main Authors: Pham, Quoc Trung, Nguyen, Huynh Ngoc Diem, Misra, Sanjay, Misra, Abhavya
Format: Journal Article
Language:English
Published: Singapore Springer Nature Singapore 01.10.2022
Subjects:
Artificial Intelligence
Banking
Computer Appl. in Administrative Data Processing
Computer Science
Financial Engineering
Original
Original Article
Insurtech adoption
Technology acceptance
Risk
Vietnam
Insurance application
Trust
ISSN:2524-7956, 2524-7964
Online Access:Get full text
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Summary:With the fast development of insurtech, many researchers are doing research in understanding customer behavior regarding the adoption of insurance applications. However, there is a lack of research on the subject in developing countries such as Vietnam. The primary purpose of this article is to develop a predictive model for the intention to use the insurance application of individual customers in Vietnam. In this research, the quantitative research method is conducted based on survey data collected in Ho Chi Minh City. Data are tested using various methods, such as Cronbach’s Alpha, EFA, Pearson correlation test, and multiple linear regression. From the analysis results, some factors positively influencing the intention to use insurance applications are identified, including Trust, Ease of Use, and Usefulness. However, the impact of Risk on Usefulness is not confirmed based on the sample data. From the analysis results, some managerial implications are made to improve the intention to use insurance applications of customers in Vietnam.
ISSN:2524-7956
2524-7964
DOI:10.1007/s42786-022-00046-9