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dc.contributor.authorCha, Shih-Chao
dc.contributor.authorWang, Hao
dc.contributor.authorTan, Zhiyuan
dc.contributor.authorJoung, Yuh-Jzer
dc.contributor.authorTseng, Yen-Chung
dc.contributor.authorYeh, Kuo-Hui
dc.date.accessioned2020-09-04T10:56:17Z
dc.date.available2020-09-04T10:56:17Z
dc.date.created2020-07-04T15:04:58Z
dc.date.issued2020
dc.identifier.citationIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI). 2020, .en_US
dc.identifier.urihttps://hdl.handle.net/11250/2676406
dc.description.abstractIntelligence mining is one of the most promising technologies for effectively extracting intelligence (and knowledge) to enhance the quality of decision making. In Taiwan, the government curtails underground economic activities and facilitates tax management via ubiquitous e-invoice information processing and intelligence mining for B2C transactions with management realized via privacy-preserved and robust consumer carriers. In this paper, we study the concept of carriers, a medium that facilitates the transfer of an e-invoice from a business to a consumer in a B2C transaction. Implementations of carriers not only depend on the underlying hardware, software, and network infrastructures that support their services, but also on consumers willingness to use them. In this paper, we review the Taiwan's Second Generation E-invoicing System, which is designed to promote the use of e-invoices in the consumer sector, and identify four problems that require further attention. These problems are: (1) no e-invoice data for immediate review, (2) limited readability of carriers by POS (Point of Sales), (3) lack of seamless integration into purchase behaviors, and (4) carrier traceability. We then discuss possible solutions to overcome these concerns, in hope of offering some insight into future mobile commerce based on e-invoice carriers in the cloud computing era.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.titleOn Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Miningen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber12en_US
dc.source.journalIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)en_US
dc.identifier.doi10.1109/TETCI.2019.2938547
dc.identifier.doi10.1109/TETCI.2019.2938547
dc.identifier.cristin1818554
dc.description.localcode© 2020 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.en_US
cristin.ispublishedfalse
cristin.fulltextpostprint
cristin.qualitycode1


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