Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/138633
DC FieldValueLanguage
dc.contributor資管系
dc.creator彭志宏
dc.creatorChih-Hung Peng
dc.creatorZhang, Wenping
dc.creatorChih-Ping Wei
dc.creatorQiqi Jiang
dc.creatorLeon Zhao, J.
dc.date2021-08
dc.date.accessioned2022-01-06-
dc.date.available2022-01-06-
dc.date.issued2022-01-06-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/138633-
dc.description.abstractThe insurance business is characterized by complicated transactional interrelationships among various stakeholders involved in insurance-related activities. Given this unique nature, the century-old challenge in the insurance industry is to effectively reduce transaction costs among the stakeholders while maintaining business privacy and trust. Although blockchain is a promising technology to mitigate this challenge, two technical issues, namely (1) inefficiency in data auditing and (2) difficulty in verifying encrypted data, are of strategic importance when applying blockchain to the insurance industry. To address these technical challenges, we propose an innovative blockchain-based technical model, InsurModel, in the context of newly initiated long-term care insurance in China. Specifically, we utilize cryptographical methods including “zero-knowledge-proof” to 1) represent business interdependence and 2) verify confidential business information without disclosure of specifics. We demonstrate the scalability and applicability of InsurModel and explore its strategic implications in constraining adverse behaviors of the stakeholders.
dc.format.extent2480034 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationJournal of Management Information Systems, Vol.38, No.2, pp.374-400
dc.subjectLong-term care insurance ;  blockchain application ;  business interdependence ;  zero-knowledge proof ;  transaction-cost economics ;  blockchain in insurance
dc.titleBeyond the Block: A Novel Blockchain-Based Technical Model for Long-Term Care Insurance
dc.typearticle
dc.identifier.doi10.1080/07421222.2021.1912926
dc.doi.urihttps://doi.org/10.1080/07421222.2021.1912926
item.cerifentitytypePublications-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextrestricted-
Appears in Collections:期刊論文
Files in This Item:
File Description SizeFormat
84.pdf2.42 MBAdobe PDF2View/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.