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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. PREDICTING THE BEHAVIOR OF ONLINE BUYING INSURANCE INTENTION WITH THE ASSOCIATION OF TECHNOLOGICAL ACCEPTANCE MODEL
    Dr. Shruthi V, Dr. Kavitha Venkatachari, Mr. Kuldeep Anil Hule, Mr. Kuldeep Anil Hule, Mrs. Asha P Sathe, Mr. Pralhad Rohidas Sonawane
    Journal of Data Acquisition and Processing, 2023, 38 (1): 107-125. 

    Abstract

    Everything in our world is changing quickly. India's insurance sector is no exception, and to satisfy modern digital demands, insurers are increasingly offering online insurance to policy purchasers (Hamisah Haji Hasan & Prof. Samsudin A. Rahim, 2008). Customers have found things to be much simpler now that internet insurance policies are available (Lwin & Nu, 2018). With only a few clicks on their smart device, they can browse and purchase insurance coverage online (Raval & Bhatt, (2021).)There is no denying that purchasing insurance online offers many advantages to policyholders. Utilizing the power of the Internet, purchasing insurance online is a cutting-edge and current method (Dasgupta & Sengupta, 2002). It serves as an alternative to buying insurance in the conventional offline manner. You may acquire or renew a policy as an online policyholder without going to the insurance provider's local branch office (Hasyim & Helmi, 2017).

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