• Asia Marketing Journal
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• v.16 no.3
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• pp.23-33
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• 2014

The selection of keywords for bidding is a critical component of paid search advertising. When the number of possible keywords is enormous, it becomes difficult to choose the best keywords for advertising and then subsequently to assess their effect. To this end, we propose an ultrahigh dimensional keyword selection approach that not only reduces the dimension for selections, but also generates the top listed keywords for profits. An empirical analysis using a unique panel dataset from a large online clothes retailer that advertises on the largest search engine in China (i.e., Baidu) is presented to illustrate the usefulness of our approach.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.448-453
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• 2002

☆1990년대 Object Management Architecture(OMA)활동 초기10년간 Roadmap 제공(CORBA) 1997년 UML 표준작성 MOF, XMI, CWM 등의 기술 확장 ☆OMG의 향후 방향 →Model Driven Architecture MDA를 통한 OMG 플랫폼 기술완성(UML과 CORBA를 포함한) OMG의 proven, neutral, open standardization 프로세서 사용 OMG의 Vertical Market에 대한 직접적인 지원(Healthcare, finance, telecommunications, life sciences research, manufacturing등)(중략)

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.125-141
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• 2020

Recent Studies emphasize the effect of investors attention, recognition and sentiment on the trading behavior of retail investors and stock price variation. In this study, we use Naver Trend to measure investors'attention and investigate the relation between investor attention and price synchronicity, total risk and systematic risk of stocks. Using various research methodologies such as portfolio analysis, fixed effect regression and dynamic panel analysis, we find consistent results. First, stock price synchronicity is increased with lager average search volume, but with less search variability. Second, both average search volume and its variability are positively related to total risk and beta of stocks. These results can be interpreted that search volume sharply increases only when stock-related event occurs.

• Knowledge Management Research
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• v.3 no.1
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• pp.41-60
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• 2002

This paper defines measurement index items and weight of the index for the purpose of developing a performance measurement index that balancedly measures performance of B2B electronic commerce. The deductive research is used for the development of measurement index items and Analytic Hierarchy Process(AHP) method for the development of weight of the index. This paper has four performance measurement perspectives-finance, partners, business process and human resources, which based the existing researches of balanced performance measurement. This researchers developed eleven second level criteria and twenty-six indexes under four perspectives through the deductive method and expert interviews, weighted on the perspectives, criteria and indexes in accordance with the forms of e-marketplace-vertical and horizontal. As a result, the most important indexes are the maintenance of partners and the efficiency of operation process in the vertical e-marketplace. In the horizontal e-marketplace, the collection of partners, development and prediction processes are more important than other indexes.

• Asia pacific journal of information systems
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• v.24 no.4
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• pp.559-575
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• 2014

Individual investors are increasingly flocking to message boards to seek, clarify, and exchange information. Businesses like Seekingalpha.com and business magazines like Fortune are evaluating, synthesizing, and reporting the comments made on message boards or blogs. In March of 2012, Yahoo! Finance Message Boards recorded 45 million unique visitors per month followed by AOL Money and Finance (19.8 million), and Google Finance (1.6 million) [McIntyre, 2012]. Previous studies in the finance literature suggest that online communities often provide more accurate information than analyst forecasts [Bagnoli et al., 1999; Clarkson et al., 2006]. Some studies empirically show that the volume of posts in online communities have a positive relationship with market activities (e.g., trading volumes) [Antweiler and Frank, 2004; Bagnoli et al., 1999; Das and Chen, 2007; Tumarkin and Whitelaw, 2001]. The findings indicate that information in online communities does impact investors' investment decisions and trading behaviors. However, research explicating the correlation between information on online communities and stock market activities (e.g., trading volume) is still evolving. Thus, it is important to ask whether a volume of posts on online communities influences trading volumes and whether trading volumes also influence these communities. Online stock message boards offer two different types of information, which can be explained using an economic and a psychological perspective. From a purely economic perspective, one would expect that stock message boards would have a beneficial effect, since they provide timely information at a much lower cost [Bagnoli et al., 1999; Clarkson et al., 2006; Birchler and Butler, 2007]. This indicates that information in stock message boards may provide valuable information investors can use to predict stock market activities and thus may use to make better investment decisions. On the other hand, psychological studies have shown that stock message boards may not necessarily make investors more informed. The related literature argues that confirmation bias causes investors to seek other investors with the same opinions on these stock message boards [Chen and Gu, 2009; Park et al., 2013]. For example, investors may want to share their painful investment experiences with others on stock message boards and are relieved to find they are not alone. In this case, the information on these stock message boards mainly reflects past experience or past information and not valuable and predictable information for market activities. This study thus investigates the two roles of stock message boards-providing valuable information to make future investment decisions or sharing past experiences that reflect mainly investors' painful or boastful stories. If stock message boards do provide valuable information for stock investment decisions, then investors will use this information and thereby influence stock market activities (e.g., trading volume). On the contrary, if investors made investment decisions and visit stock message boards later, they will mainly share their past experiences with others. In this case, past activities in the stock market will influence the stock message boards. These arguments indicate that there is a correlation between information posted on stock message boards and stock market activities. The previous literature has examined the impact of stock sentiments or the number of posts on stock market activities (e.g., trading volume, volatility, stock prices). However, the studies related to stock sentiments found it difficult to obtain significant results. It is not easy to identify useful information among the millions of posts, many of which can be just noise. As a result, the overall sentiments of stock message boards often carry little information for future stock movements [Das and Chen, 2001; Antweiler and Frank, 2004]. This study notes that as a dependent variable, trading volume is more reliable for capturing the effect of stock message board activities. The finance literature argues that trading volume is an indicator of stock price movements [Das et al., 2005; Das and Chen, 2007]. In this regard, this study investigates the correlation between a number of posts (information on stock message boards) and trading volume (stock market activity). We collected about 100,000 messages of 40 companies at KOSPI (Korea Composite Stock Price Index) from Paxnet, the most popular Korean online stock message board. The messages we collected were divided into in-trading and after-trading hours to examine the correlation between the numbers of posts and trading volumes in detail. Also we collected the volume of the stock of the 40 companies. The vector regression analysis and the granger causality test, 3SLS analysis were performed on our panel data sets. We found that the number of posts on online stock message boards is positively related to prior stock trade volume. Also, we found that the impact of the number of posts on stock trading volumes is not statistically significant. Also, we empirically showed the correlation between stock trading volumes and the number of posts on stock message boards. The results of this study contribute to the IS and finance literature in that we identified online stock message board's two roles. Also, this study suggests that stock trading managers should carefully monitor information on stock message boards to understand stock market activities in advance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.385-388
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• 2020

At present, the payment system in Thailand changes from a paper-based system to a cashless payment system. A coin has its two sides, so the cashless payment has its advantages and disadvantages. This article describes the general advantages and disadvantages of a cashless society in Thailand in the COVID-19 situation. The cashless payment in Thailand consists of credit cards, automated teller machines, direct debit, mobile/Internet banking, e-Wallet, PromptPay, and QR code. The cashless payment is able to assist the government for tax collection accuracy and facilitates users to make financial transactions more transparent and efficient. In addition, the cashless system provides benefits to businesses in which they are able to increase sales and expand business by providing convenient, safe and faster services to customers in making payment for goods/services. It assists businesses to save time and cost of cash management and reduce the paperwork. The cashless payment made the life of students, housewives, and elderly people very easy to carry out financial transactions and there is no need to meet the financial institution staff. This payment system needs advanced technology system skills, a smartphone, and a technology facility. Finally, the cashless payment can reduce the spreading of COVID-19.

• The Korean Journal of Applied Statistics
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• v.24 no.4
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• pp.575-586
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• 2011

In this paper, we study an asymptotic behavior of the finite-time ruin probability of the compound Poisson model in the case that the initial surplus is large. To compare an exact ruin probability with an approximate one, we place the focus on the exact calculation for the ruin probability when the claim size distribution is regularly varying tailed (i.e. exponential claims and inverse Gaussian claims). We estimate an adjustment coefficient in these examples and show the relationship between the adjustment coefficient and the safety premium. The illustration study shows that as the safety premium increases so does the adjustment coefficient. Larger safety premium means lower "long-term risk", which only stands to reason since higher safety premium means a faster rate of safety premium income to offset claims.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.6C
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• pp.497-501
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• 2012

While increasing online services with developing e-businesses, finance, game companies and others have employed OTP(One-Time Password) to overcome vulnerabilities of static passwords. Existing OTP technology has inconvenience that customers always possess reserved token since requiring the token to generate OTP. In order to supplement the issue we propose mobile OTP generated by mobile devices such as smart phones. Our mobile OTP scheme generates OTP by using a non-linear function based on pairing to eject the collision problem of S/Key scheme universally used to design OTP schemes. Our scheme based on a non-linear function over pairing can complements the collision problem and widely applied to finance and various services to increase security level of the services.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.161-170
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• 2007

E-Business has, nowadays, become a common commerce transaction. In the beginning, e-Biz has known as Electronic Commerce and has expanded its territory to department store's shopping mall, travel, finance, stock, and even luxury goods as car sales market. Considering these trends, this paper researched the environment of korean e-Biz market and suggested the picture of the matured and sound e-Biz market in Korea. We surveyed matured level of Critical Success Factors of e-Biz in terms of management. We also surveyed time based Critical Success Factors to analyze level of the Korean e-Biz market. These study's may provide us the knowledge about the prediction and preparation for changes in e-Biz market in the future.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.465-473
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• 2021

This research is motivated by the concept of online banking or Internet banking where consumers aren't required to visit a bank branch to complete most of their basic banking transactions. They can do all of this at their own convenience, wherever they want. This research aims to find out the role of e-satisfaction in mediating the influence of e-service quality on the e-loyalty of the customer of a private bank in Indonesia. The method of data collection in this research is by using probability sampling with the simple purposive sampling technique. Data that is collected from 205 respondents is the data that meet the criteria, which are the respondent needs to be a bank customer and must have an Internet banking account. The analysis method that is used is regression analysis through the SEM method with the aid of SmartPLS 3.0 software to test the significance of e-satisfaction role in mediating the relationship between e-service quality and e-loyalty. The research result shows that e-service quality has a significant positive influence on e-satisfaction; e-satisfaction has a significant positive influence on e-loyalty, e-service has a significant positive influence on e-loyalty, and e-satisfaction significantly mediate the influence of e-service quality towards e-loyalty.