Anglia Ruskin Research Online (ARRO)
Browse

File(s) under embargo

5

month(s)

1

day(s)

until file(s) become available

Impact of Open Big Data and Insurtech on Business Digitalization

conference contribution
posted on 2024-09-19, 11:10 authored by Zaid Saidat, Hamza Jamil Abdelrahim, Dina Ahmad Alkhodary, Ghazi Qasaimeh

The need for the insurance sector to modernize its operations and implement digital transformation is indisputable. Insurance technology has emerged as a result of digital change in the insurance sector (InsurTech). With the introduction of numerous digital insurance service providers in UAE is developing rather quickly and will only continue to expand. Throughout the whole lifetime of an insurance product, including pre-contract, product creation, post-contract, back office operations, and risk management, insurtech can be used. In order to evaluate the insurtech need with big data and their impact on business digitalization this research was conducted. Empirical evidences composed from insurance industry located in Dubai UAE through an online survey. 46 companies were approached to collect data using a descriptive research. A valid sample size of 166 employees used for data analysis. SmartPLS 4 software used to measure the hypothesized model. Findings revealed significant relationship of each construct. Additionally, due to low insurance penetration as well as the growth of insurtech start-ups, the UAE has a great potential for insurtech. The difficulties that Insurtech faces are mostly caused by existing legislation that do not yet directly address Insurtech.

History

Refereed

  • Yes

Publisher

IEEE

ISBN

9798350335644

Conference proceeding

2023 International Conference on Business Analytics for Technology and Security (ICBATS)

Name of event

2023 International Conference on Business Analytics for Technology and Security (ICBATS)

Event start date

2023-03-07

Event finish date

2023-03-08

File version

  • Published version

Affiliated with

  • School of Management Outputs

Note

“© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”

Usage metrics

    ARU Outputs

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC