• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.143-161
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• 2022

This study examines the effect of used trading app's consumption value and protection motivation and the perceived usefulness and continuous use intention. The proposed research model and developed hypotheses were tested using structural equations modeling based on data collected from 293 customers with experience in used transaction app's. The results of the study confirm the positive effects of the used trading app's consumption value and protection motive theory is perceived usefulness of customer. In addition, there is a positive relationship between a customer's perceived usefulness and continuous use intention of used trading app's. The study provides On a theoretical level valuable insights into the sustainability of transaction app's after post-COVID 19 and the importance of developing used trading app's consumption value and protection motivation, but there is also a limitation that the region is limited.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.329-334
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• 2018

According to the textbook utilization survey, university students buy 6.4 books and spend 94,000 won per semester. However, nearly half of books are left unused. Therefore many students buy used textbooks instead of buying new books at a fixed price. The existing used textbook trading platforms support basic functions, but don't support textbook recommendation function and reference book recommendation function. In this paper, we developed a used textbook trading platform BookCue that provides textbook recommendation function, reference book recommendation function, and consignment trading function reflecting the regional characteristics. It is expected that will contribute to reduce university students' burden that buying textbook by forming textbooks trading environment and preserve environment. In the near future our platform will need to expand to a platform that deals with a variety of goods, as well as used textbooks in the region.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.237-242
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• 2020

Online e-commerce management systems are gradually increasing, and transactions are made in various items. However, the reliability between sellers and buyers is very important in high-priced transactions such as automobiles when used transactions online. Nevertheless, in the existing used trading system, a device that prevents fraud or trusts the seller is insufficient. This paper developed a blockchain-based used transaction management system to improve the reliability that occurs during used transactions. We have improved the safety trading system by developing a trading management system for used cars with the highest amount of used cars in various fields. This system uses Ethereum-based smart contract to guarantee reliability without third party intervention. By designing the contracts required for used car trading by utilizing smart contracts, it was possible to reduce the effort and time of trading participants in the existing used car transactions, while enabling safe transactions. In addition, this system mitigated information asymmetry between buyers and sellers, and reduced and prevented brokerage fees in the distribution process without third parties.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.211-221
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• 2013

This study investigated the effect of service quality and using experience on a royalty in a electronic commerce. Expecially, used HTS (Home Trading System of securities companies)as a online service system. HTS (Home Trading System) is a electronic commerce system of securities companies that is a most progressive tool of it. Almost securities companies are offering these typical trading system, because it is a required factor for a competitive position in their compound market. This paper made hypotheses of five cases, and collected some data through survey questionnaire for an analysis of actual proof. For attaining the object of this research, used a structure equation modeling, and found that almost paths of the research model are supported among the service quality, using experience, involvement and royalty. This study could provide academic and managerial implications in a electronic commerce business.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.1-10
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• 2022

This research proposes a novel trading method based on sample entropy for the FTSE China A50 Index. The approach is used to determine the points at which the index should be bought and sold for various holding durations. The findings are then compared to three other trading strategies: buying and holding the index for the entire time period, using the Relative Strength Index (RSI), and using the Moving Average Convergence Divergence (MACD) as buying/selling signaling tools. The unique entropy trading method, which used 90-day holding periods and was called StEn(90), produced the highest cumulative return: 25.66 percent. Regular buy and hold, RSI, and MACD were all outperformed by this strategy. In fact, when applied to the same time periods, RSI and MACD had negative returns for the FTSE China A50 Index. Regular purchase and hold yielded a 6% positive return, whereas RSI yielded a 28.56 percent negative return and MACD yielded a 33.33 percent negative return.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.661-666
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• 2007

MMORPG, massively multi-players in online role-playing game, is the most popular genre in online games. Because large number of players interacts with each other, virtual worlds in MMORPG are alike communities of real worlds. Moreover, players in virtual worlds trade game items with real money. This paper is to find impacts of real-money trading into real worlds, and game operators, by using two-period model between players of the game and the game operator. It was found that real-money trading benefits game operators, and there exists optimal supply of game items to maximize the profit of game operator. Moreover we found that the income disparity in real worlds could be decreased when real-money trading is allowed To support the analytical model, we used an empirical analysis using real-money trading data, and find the relationship among play time of MMORPG, transaction volume of real-money trading, and price of game items. In empirical analysis, it was found that real-money trading benefits game operators. Moreover, it was found that play time and price have positive relationship.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.3
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• pp.91-99
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• 2003

In this paper, we analyze the current trading systems and suggest two secure electronic trading systems that make a fair exchange for online game items. The system is made up for the weak points in the current item trading system. In the proposed system, a game server issues a certificate each item on the user's request. On the one hand, this certificate is used to recover the item when the system error is occured. On the other hand, the user may exchange it with another item or cyber money. The proposed system supports private and reliable trading. Further, the trading can be completed only by online processing.

• Journal of Distribution Science
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• v.21 no.3
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• pp.93-100
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• 2023

Purpose: The purpose of this paper is to confirm whether stocks belonging to the distribution industry in Korea have reversals, following large daily stock price changes accompanied by large trading volumes. Research design, data, and methodology: We examined whether there were reversals after the event date when large-scale stock price changes appeared for the entire sample of distribution-related companies listed on the Korea Composite Stock Price Index from January 2004 to July 2022. In addition, we reviewed whether the reversals differed depending on abnormal trading volume on the event date. Using multiple regression analysis, we tested whether high trading volume had a significant effect on the cumulative rate of return after the event date. Results: Reversals were confirmed after the stock price shock in the Korean distribution industry and the return after the event date varied depending on the size of the trading volume on the event day. In addition, even after considering both company-specific and event-specific factors, the trading volume on the event day was found to have significant explanatory power on the cumulative rate of return after the event date. Conclusions: Reversals identified in this paper can be used as a useful tool for establishing a trading strategy.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.53-79
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• 2021

With the revitalization of non-face-to-face transactions, the difference between the size of branches and transaction costs among securities firms has decreased, and the importance of the stock trading system has increased. In particular, the mobile trading system has become more important due to the increase in the proportion of transactions in the mobile trading system, which is widely used by individual investors, and the increase in the number of individual investors after COVID-19. However, user-centered usability studies are insufficient as usability studies on mobile trading systems are conducted through literature surveys or survey methods. Therefore, in this study, a repertory grid technique that finds user's empirical perception was used to find out user-centered usability attributes. The usability attributes of the mobile trading system from the user's point of view were elicited, and the difference in the usability attributes in terms of frequency and importance between the user group and the developer group was identified.