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Abstract
Blockchain-enabled smart contracts have revolutionized the insurance industry due to their potential to streamline backend operations, mitigate fraudulent claims, and enhance data security and transparency. Guided by the design science methodology, the authors propose two specific smart contract frameworks to enhance insurance claims processing related to vehicle damage claims and personal injury claims. These proposed frameworks can improve the overall efficiency and effectiveness of insurance claims processing by automating claims submission, review, analysis, and payment, while reducing fraud and data leakage, by merging various data sources and disintermediation. Furthermore, the authors design a smart contract template supported by eight operational algorithms to facilitate the processing of insurance claims with the help of smart contracts. This template provides practitioners with a standardized prototype for the development of secure and efficient insurance applications.
Original language | English |
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Journal | Journal of Global Information Management |
Volume | 31 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2023 |
Research Keywords
- Blockchain
- Design Science
- Fintech
- Insurance Claims Processing
- Smart Contract
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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- 1 Finished
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GRF: A Generative Deep Learning Framework for Emotion-sensitive Robo-advisors in Personal Wealth Management
LAU, Y. K. R. (Principal Investigator / Project Coordinator), Li, C. (Co-Investigator) & WONG, C. S. M. (Co-Investigator)
1/01/20 → 13/12/23
Project: Research