• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2003년도 종합학술대회 논문집
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• pp.261-267
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• 2003

This study deals with controversial issues surrounding the today′s cyber-taxation and recommends feasible consumption tax system architecture titled Global Electronic Tax Invoice System (GETI). The GETI is an electronic consumption tax architecture to provide "all-in-one" tax and e-payment services through a trusted third party (TTP). GETI is designed to streamline the overall cyber-taxation process and provide simplified and transparent tax invoice services through an authorized np. To ensure information security, GETI incorporates public Key infrastructure (PKI) based digital certificates and other data encryption schemes when calculating, reporting, paying, and auditing tax in the electronic commerce environment. GETI is based on the OECD cyber-taxation agreement that was reached in January 2001, which established the taxation model for B2B and B2C electronic commerce transactions. For the value added tax systems, tax invoice is indispensable to commerce activities, since they provide documentations to prove the validity of commercial transactions. As paper-based tax invoice systems are gradually phased out and are replaced with electronic tax invoice systems, there is an increasing need to develop a reliable, efficient, transparent, and secured cyber-taxation architecture. To design such architecture, several desirable system attributes were considered -- reliability, efficiency, transparency, and security. GETI was developed with these system attributes in mind.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4487-4507
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• 2016

Recently tax authorities in the world have been adopting advanced information technology over the Internet into their processes. Websites that enable filing tax returns and paying tax electronically have been implemented in many countries. However, the tax authorities have difficulties in forcing the mandatory system because taxpayers do not feel comfortable with readily capturing their incomes by the system. This study aims to provide a guideline for successful implementation of the mandatory e-tax invoice system. First, the study foucsed on investigating whether the Korean e-tax invoice system was implemented successfully. Secondly, the study assessed actions that might contribute to its successful implementation. The analyses identify that establishing a free website for small-sized taxpayers and providing various issuing systems for diverse taxpayers are critical for its success. The results also enable the tax administrations aspiring to introduce a mandatory system to emphasize some specific actions, which have significant effects on its desired purposes. Finally, this study presents the various policy implications that previous studies have not provided.

• 한국IT서비스학회지
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• 제3권2호
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• pp.85-98
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• 2004

As the e-Commerce based on the XML technology is getting bigger, user authentication, integrity, non-repudiation and confidentiality has become important for security. Since the XML technology is widely used for exchanging information among the Internet e-business systems, the security of XML documents is essentially required and XML digital signature should be supported. To support the digital signature of XML documents, W3C proposed the XML-Signature specification as an international standard that describes five transform algorithms. In this paper, we design and implement a XML/PKI based digital tax invoice system. Our system supports the five transforming algorithms defined in the XML-Signature specification and exchanges digital tax invoices among enterprises securely. We design and implement the flexible and efficient system consists of reusable components using CBD(Component Based Development).

• 한국전자거래학회지
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• 제23권1호
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• pp.1-22
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• 2018

가치사슬은 경쟁우위 강화를 위한 전략적 도구로써 주로 기업수준, 산업수준에서 분석되어 왔다. 그런데 기업수준에서 가치사슬 분석을 수행하기 위해서는 분석 기업의 거래처 기업들이 그 기업의 가치 사슬에 속하는지의 여부에 따라 분류되어야 한다. 단일 기업에 대한 가치사슬 분류는 전문가들에 의해 원활히 수행될 수 있지만 다수의 기업을 대상으로 분류할 때는 많은 비용과 시간이 소요되는 등의 한계점이 따른다. 따라서 본 연구에서는 실거래 데이터를 기반으로 특정 기업의 거래처 기업들을 분류해서 가치사슬 기업을 자동적으로 도출해주는 모형을 제안하고자 한다. 총 19개의 거래 속성 변수를 실거래 데이터로부터 도출하여 기계학습의 입력 데이터의 형태로 가공하였고, 랜덤포레스트 알고리즘을 이용하여 가치사슬 분류 모형을 구축하였다. 자동차 부품 기업 사례에 본 연구 모형을 적용한 결과, 정확도 92%, F1-척도 76% 그리고 AUC 94%로 자동적 가치사슬 분류의 가능성을 확인하였다. 또한 거래집중도, 거래금액 그리고 거래처별 총 매출액 등과 같은 거래 속성들이 가치사슬에 속하는 기업들을 대표하는 주요 특성임을 확인하였다.