• Proceedings of the CALSEC Conference
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• 2003.09a
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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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• v.10 no.9
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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.

• Journal of Information Technology Services
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• v.3 no.2
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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).

• The Journal of Society for e-Business Studies
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• v.23 no.1
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• pp.1-22
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• 2018

The value chain has been utilized as a strategic tool to improve competitive advantage, mainly at the enterprise level and at the industrial level. However, in order to conduct value chain analysis at the enterprise level, the client companies of the parent company should be classified according to whether they belong to it's value chain. The establishment of a value chain for a single company can be performed smoothly by experts, but it takes a lot of cost and time to build one which consists of multiple companies. Thus, this study proposes a model that automatically classifies the companies that form a value chain based on actual transaction data. A total of 19 transaction attribute variables were extracted from the transaction data and processed into the form of input data for machine learning method. The proposed model was constructed using the Random Forest algorithm. The experiment was conducted on a automobile parts company. The experimental results demonstrate that the proposed model can classify the client companies of the parent company automatically with 92% of accuracy, 76% of F1-score and 94% of AUC. Also, the empirical study confirm that a few transaction attributes such as transaction concentration, transaction amount and total sales per customer are the main characteristics representing the companies that form a value chain.