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Title: InsurTech, IoT and Bigdata Analytics Adoption Challenges and Solutions in Morocco
Authors: Dr. Maryam Saeed, Dr. Noman Arshad , Dr. Mohammad Ayaz, Dr. Muhammad Ather Ashraf
Journal: Advance Journal of Econometrics and Finance (AJEAF)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: SCHOLAR CRAFT EDUCATION & RESEARCH HUB
Country: Pakistan
Year: 2025
Volume: 3
Issue: 2
Language: en
DOI: 10.63075/c32kk463
Background: The idea of insurance was discovered several millennia before Christ (BC). In the second and third millennia BC, traders from China and Babylonia practiced shifting or dispersing risks. Today, insurance is the foundation of the economy, but expanding its penetration is difficult in emerging nations. The fourth insurance industry revolution in the developed world was sparked by the recent advent of IoT, Big Data, and InsurTech. Objective: To boost insurance coverage in Morocco, this study examines the problems with and potential solutions to InsurTech, IoT and bigdata analytics. Research Methodology: To identify the themes and factors pertaining to problems and solutions in implementing InsurTech, IoT and bigdata analytics in Morocco's insurance business, this study used a systematic literature review. To find pertinent material from Google Scholar, several keywords were employed. The filtered studies were examined based on inclusion and exclusion standards. Findings: This report outlined many obstacles to InsurTech, IoT and bigdata analytics adoption in the Morocco insurance sector as well as potential remedies. The proposals could help policymakers improve the insurance industry service delivery.
InsurTech, Insurance Industry, Digital Technologies, Morrocco, IoT and bigdata analytics..
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