• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.77-85
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• 2018

Purpose - The purpose of this study is to subdivide trade transaction-centered structure in a logistics/distribution industry system to apply blockchain, to establish and resolve with which types of technology, and to provide policy direction of government institution and technology to apply blockchain in this kind of industry. Research design, data, and methodology - This study was conducted with previous researches centered on cases applied in various industry sectors on the basis of blockchain technology. Results - General fields of blockchain application include digital contents distribution, IoT platform, e-Commerce, real-estate transaction, decentralized app. development(storage), certification service, smart contract, P2P network infrastructure, publication/storage of public documents, smart voting, money exchange, payment/settlement, banking security platform, actual asset storage, stock transaction and crowd funding. Blockchain is being applied in various fields home and abroad and its application cases can be explained in the banking industry, public sector, e-Commerce, medical industry, distribution and supply chain management, copyright protection. As examined in the blockchain application cases, it is expected to establish blockchain that can secure safety through distributed ledger in trade transaction because blockchain is established and applied in various sectors of industries home and abroad. Parties concerned of trade transaction can secure visibility even in interrupted specific section when they provide it as a base for distributed ledger application in trade and establish trade transaction model by applying blockchain. In case of interrupted specific section by using distributed ledger, blockchain model of trade transaction needs to be formed to make it possible for parties concerned involved in trade transaction to secure visibility and real-time tracking. Additionally, management should be possible from the time of contract until payment, freight transfer to buyers through land, air and maritime transportation. Conclusions - In order to boost blockchain-based logistics/distribution industry, the government, institutionally, needs to back up adding legal plan of shipping, logistics and distribution, reviewing standardization of electronic switching system and coming up with blockchain-based industrial road maps. In addition, the government, technologically, has to support R&D for integration with other high technology, standardization of distribution industry's blockchain technology and manpower training to expand technology development.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.1
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• pp.30-36
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• 2001

We present a new algorithm for mining association rules in the large database. Association rules are the relationships of items in the same transaction. These rules provide useful information for marketing. Since Apriori algorithm was introduced in 1994, many researchers have worked to improve Apriori algorithm. However, the drawback of Apriori-based algorithm is that it scans the transaction database repeatedly. The algorithm which we propose scans the database twice. The first scanning of the database collects frequent length l-itemsets. And then, the algorithm scans the database one more time to construct the data structure Common-Item Tree which stores the information about frequent itemsets. To find all frequent itemsets, the algorithm scans Common-Item Tree instead of the database. As scanning Common-Item Tree takes less time than scanning the database, the algorithm proposed is more efficient than Apriori-based algorithm.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.183-189
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• 2021

Transfer pricing is a matter of concern for countries. It affects the interests of the parties involved in the commercial transaction. Through manipulation of prices in transactions, businesses take advantage of tax rates in a country to adjust profits for economic gain. This affects the fairness and rationality of economic transactions between related parties. The article uses a two-year time series from 2018 to 2019 of 50 foreign direct investment enterprises in Vietnam. The article uses ordinary least squares to test the hypotheses of the research model. The article uses four independent variables related to ownership structure affecting transfer pricing decisions including total ownership, organization ownership, concentration ownership, and area ownership. Research results show that two variables have a positive influence on transfer pricing decisions including total ownership and organization ownership. Organization ownership has a higher degree of influence than total ownership. To be able to control transaction activities related to transfer pricing, Vietnam's state management agencies need to pay attention to perfecting the legal framework based on supplementing and amending regulations related to transfer pricing. Legal regulations need to be regulated based on international common practices to ensure uniformity on a global scale.

• Journal of KIISE:Databases
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• v.31 no.6
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• pp.699-709
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• 2004

XML is increasingly important in data exchange and information management. Starting point for retrieving the structure and integrating the documents efficiently is clustering the documents that have similar structure. The reason is that we can retrieve the documents more flexible and faster than the method treating the whole documents that have different structure. Therefore, in this paper, we propose the similar structure-based incremental clustering method useful for retrieving the structure of XML documents and integrating them. As a novel method, we use a clustering algorithm for transactional data that facilitates the large number of data, which is quite different from the existing methods that measure the similarity between documents, using vector. We first extract the representative structures of XML documents using sequential pattern algorithm, and then we perform the similar structure based document clustering, assuming that the document as a transaction, the representative structure of the document as the items of the transaction. In addition, we define the cluster cohesion and inter-cluster similarity, and analyze the efficiency of the Proposed method through comparing with the existing method by experiments.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.1-14
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• 2022

The change in the management environment of the logistics industry in the era of global competition is becoming an era in which customers choose companies. Differentiation from competitors through the provision of products and services suitable for customers As customers' choices change depending on their superiority, companies are constantly striving to receive or retain customers' choices. Ultimately, this competitive structure can be seen as the importance of long-term relationship building. Therefore, in this study, we examined how factors related to transaction characteristics performed by logistics companies for customer satisfaction in the transaction relationship between cargo companies and shippers affect performance and long-term transaction intentions. First, we derived the factors of logistics service, cost, logistics infrastructure, and company competency, which are transaction characteristics factors of a logistics company that must be specifically realized for customer satisfaction in transactions between logistics companies. Second, we analyzed how the transaction characteristics factors of a logistics company affect the company's performance, and finally, how the company's performance factors affect long-term transaction intentions. As a result of empirical analysis, there were no statistically significant results on the relationship between transaction characteristics and performance of logistics companies, which can be attributed to the small size of the logistics companies that were the sample. In other words, logistics companies that do not have sufficient capacity to provide services at low prices have no choice but to engage in constant bleeding competition. It can be seen that it reflects the characteristics of the industry. On the other hand, the relationship between corporate performance factors and long-term transaction intention was found to have a positive relationship. The higher the level of partnership with logistics companies and visible financial performance is, the higher the transaction will be in the future, and the more the transaction volume will be gradually increased. And even if it costs a little more, it can be seen that the intention to continue trading is greatly expressed.

• International Area Studies Review
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• v.21 no.2
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• pp.143-169
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• 2017

This paper empirically examines how capital structure inertia varies across industries and there is different in industries, and whether this fact is explained by product market competition using non-financial firms listed in KOSP market over periods of 1981 to 2015. In empirical test, I find that firms with more competition environment tend to have inertia behavior in making decision of capital structure. This implies that it is explained by debt discipline effect and it is substitution for product market competitions. Also I find that manager tends to take action actively making decision of capital structure when product market competition is low. Also I show that they use debt to constraint the free cash flow. As a result, I conclude that Korean non-financial firms do not have more strong inertia behavior in capital structure rather than U.S. firms. Second, using OLS estimation, inertia effect disappears while there is strong inertia effect in relationship between inertia and product market competition. This result suggests that transaction cost is not key factor in explaining inertia behavior of capital structure.

• International Commerce and Information Review
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• v.12 no.3
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• pp.79-98
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• 2010

The National Conference of Commissioners on Uniform State Laws promulgated the Uniform Computer Information Transactions Act (UCITA) in 1999. In 2000 and 2002, this Act was also Amended. UCITA provides a comprehensive set of rules for licensing computer information, whether computer software or other clearly identified forms of computer information. Computerized databases and computerized music are other examples of computer information that would be subject to UCITA. It would also govern access contracts to sites containing computer information, whether on or off the Internet. UCITA would not govern contracts, even though they may be licensing contracts, for the traditional distribution of movies, books, periodicals, newspapers, or the like. Part 8 of UCITA provides a remedy structure somewhat modeled on that of Article 2 but adapted in significant respects to the different context of a computer information transaction. For example, 808 of UCITA recognizes the focus in a license context for a licensor's remedy should properly be on recovery for benefit conferred or for lost profit, rather than on damage measurement by a substitute transaction, where the license is non-exclusive so additional transactions are permitted and there is very little cost in reproduction of the information and its redistribution. Section 816 of UCITA also contains very important limitations on the generally recognized common law right of self-help as applicable in the electronic context.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3068-3085
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• 2021

The economics of big data knowledge, especially cloud computing and statistical data of consumer preferences, has attracted increasing academic and industry practitioners' attention. Firms nowadays require purchasing not only external private patent knowledge from other firms, but also proprietary big data knowledge to support their new product development. Extant research investigates pricing strategies of external private patent knowledge and proprietary big data knowledge separately. Yet, a comprehensive investigation of pricing strategies of these two types of knowledge is in pressing need. This research constructs an overarching pricing model of external private patent knowledge and proprietary big data knowledge through the lens of firm profitability as a knowledge transaction recipient. The proposed model can help those firms who purchase external knowledge choose the optimal knowledge structure and pricing strategies of two types of knowledge, and provide theoretical and methodological guidance for knowledge transaction recipient firms to negotiate with knowledge providers.

• The Journal of Information Systems
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• v.10 no.1
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• pp.51-72
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• 2001

E-commerce has not only brought about a great change in the way we exchange goods and services but also revolutionized the way we handle business transactions. In addition, it has a significant influence upon the present business structure, and most of firms in service industry as well as manufacturing are considering adopting E-commerce in a serious manner. Most vessels purchase merchandises through a number of shipping agents. As the amount of harbor materials increase, the number of vessels and their navigation frequency also increase. As a result, the amount of procurement for ships has increased. Traditional means such as telephone and fax to handle ever-increasing harbor transaction, however, has proved to be very time-consuming and cost ineffective. Therefore, people are starting to look for more effective ways. In this paper, an internet-based scheme of B2B transaction is proposed to handle procurement problem between shipping agency and shipping company, and between vessel and suppliers as a more effective approach to streamline such problems. We extract problems of shipping agency through task-analysis and present a scheme that performs decision making and procurement as a system agent with brokering structure. Purchaser and supplier are offered material information rapidly and task loads are minimized by the scheme. Also, the system can support decision making of purchasing goods, and information is shared among purchaser, supplier and system through the system interface.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.3
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• pp.63-74
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• 2011

Credit cards are more convenient than cash of heavy. Therefore, credit cards are used widely in on_line (internet) and off_line in nowadays. To use credit cards on internet is commonly secure because client identification based security card and authentication certificate. However, to use in off_line as like shop, store, department, restaurant is unsecure because of irregular accident. As client identification is not used in off_line use of credit cards, the irregular use of counterfeit, stolen and lost card have been increasing in number recently. Therefore, client identification is urgently necessary for secure card using in off_line. And the method of client identification must be simple, don't take long time, convenient for client, card affiliate and card company. In this paper, we study a reform measure of the structure and transaction process for the safety improvement of a credit cards. And we propose several authentication method of short-and long-term for client identification. In the proposal, the client authentication method by OTP application of smart-phone is efficient nowadays.