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Abstract

Purpose: 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 Blockchain, IoT, Big Data, and InsurTech. Objective: To boost insurance coverage in Pakistan, this study examines the problems with and potential solutions to cloud computing. Research Methodology: To identify the themes and factors related to problems and solutions in implementing cloud computing in the Pakistan insurance business, this study used a systematic literature review. Several keywords were employed to find pertinent material from Google Scholar. The filtered studies were examined based on inclusion and exclusion standards. Findings: This report outlined many obstacles to cloud-computing adoption in the Pakistan insurance sector as well as potential remedies. The proposals could help policymakers improve the service delivery in the insurance industry.

Details

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Location
Title
Cloud computing technology adoption challenges and solutions in Pakistan
Author
Raza, Faiza 1 ; Raza, Rabia 2 ; Saeed, Marium 3 ; Arshed, Noman 4 

 Queen Mary University of London 
 Business Department Glasgow Caledonian University, London 
 University of Management and Technology, Pakistan 
 University of Education, Pakistan 
Publication title
Volume
15
Issue
2
Pages
131-137
Publication year
2024
Publication date
Aug 2024
Publisher
Centre for Business & Economic Research
Place of publication
London
Country of publication
United Kingdom
ISSN
20472854
e-ISSN
20472862
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
3203356407
Document URL
https://www.proquest.com/conference-papers-proceedings/cloud-computing-technology-adoption-challenges/docview/3203356407/se-2?accountid=208611
Copyright
Copyright Centre for Business & Economic Research 2024
Last updated
2025-05-21
Database
ProQuest One Academic