• Asia Marketing Journal
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• v.10 no.1
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• pp.25-64
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• 2008

Third-Party awards are growing in popularity. They are the hit product of the year chosen by The Korea Economic Daily, the best 10 products of the year chosen by Sports paper, the best hit product chosen by consulting firm and the best venture company of the year chosen by Information and Communication Ministry. Then these questions may be followed. Why industry likes this type of advertisement? Does this type of advertisement influences consumers' purchase intention? And if it does, how? Many researchers have been interested in external cue of product quality by focusing research effort on brand, price, producer, warranty etc. However, important but under-explored area is the role of third-party reference for signaling product quality. This paper comes from the idea that the third-party reference may signal consumers like manufacturer brand, product brand, product price, and shop brand. We develop a related theories to address research questions and drive some research hypotheses based on the previous studies probing source credibility, attribution, and signal theory. We put more emphasis on source credibility. We conducted the research based on 3x2x2x2 between group factorial design to explore causal relationship between the third party award winning advertising(real, fictional, no) and the purchase intention of consumers exposed to other information simultaneously such as product type(experience, search), distribution channel(direct, indirect) and perceived price(high, low). Since subjects are divided into 2 groups based on the means of response without extra experimental stimulus in case of perceived price. 12 different advertisements are used for conducting this study. The results are followings. First, the source credibility of the third party goes up, consumers' purchase intention would go up. It seems that consumers think the credibility of the third-party most when they are exposed to the third party award winning advertisement. Second, the product type does moderate the relationship between the third-party award winning advertisement and purchase intention. And the type of the distribution channel also moderates this relationship. The consumers' purchase intention goes up higher when they buy experience good and there is significant difference of purchase intention when consumers are exposed to direct channel treatment condition. But, perceived price has nothing to do with the third-party winning advertisement context for raising consumer intention to buy advertised product.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.1-9
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• 2013

The digital signal is terminated on Dec.31, 2012. But most of the analog cable subscribers are faced with the difficult reception of the digital because the government has defined the terrestrial broadcast as digital transition obligation operators. It is estimated that half analog of the total pay-TV subscriber that is approximately 10million households that are directly receiving terrestrial signal must hold the digital TV or DtoA convertor to transit digital. But cable system subscriber should buy Set-top box that are expensive and pay the expensive rates. The cast of analog cable subscribers has been classified as a group that can cause the most damage after digital switch. This study investigate the problem, and cause, solution of the analog cable subscribers that are placed in the blind spots of the digital switch.

• Journal of the Institute of Convergence Signal Processing
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• v.18 no.2
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• pp.55-61
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• 2017

In radio astronomy, high-capacity HDDs are being used to save huge amounts of HDDs in order to record the observational data. For VLBI observations, observational speeds increase and huge amounts of observational data must be stored as they expand to broadband. As the HDD is frequently used, the number of failures occurred, and then it takes a lot of time to recover it. In addition, if a failed HDD is continuously used, observational data loss occurs. And it costs a lot of money to buy a new HDD. In this study, we developed the integrity verification system of the Serial ATA HDD using FirmOS. The FirmOS is an OS that has been developed to function exclusively for specific purposes on a system having a general server board and CPU. The developed system performs the process of writing and reading specific patterns of data in a physical area of the SATA HDD based on a FirmOS. In addition, we introduced a method to investigate the integrity of HDD integrity by comparing it with the stored pattern data from the HDD controller. Using the developed system, it was easy to determine whether the disk pack used in VLBI observations has error or not, and it is very useful to improve the observation efficiency. This paper introduces the detail for the design, configuration, testing, etc. of the SATA HDD integrity verification system developed.

• The Korean Journal of Financial Management
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• v.25 no.1
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• pp.51-84
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• 2008

We investigate the signaling effect of repurchase preceding new equity issue using Korean data. In a short time span, firms announce stock repurchases and equity offerings. The proximity of two events in Korean firms indicates that those are not independent of each other. In this paper, we test the signaling effect of repurchase on equity offerings on the two measures. One is announcement effect, which is measured as CAR(0, +2). The other is the effectiveness which is measured as CAR(0, +30) because the price movement during this window influences on the price of new issues. Previous studies that stock repurchase convey positive signal to equity offerings-Billet and Xue(2004) and Jung(2004)-construct sample without the limit of time interval between two events. This causes the unclear relation between those because of the long time interval. In this study we consider only samples of being within one year each other to reduce this problem and clarify the signal of repurchase on equity offerings. Korean firms are allowed to repurchase own shares with two different method. One is direct repurchase as same as open market repurchase. The other is stock stabilization fund and stock trust fund which trust company or bank buy and sell their shares on the behalf of firms. Generally, the striking different characteristic between direct repurchase and indirect repurchase is following. Direct repurchase is applied by more strict regulation than indirect repurchase. Therefore, the direct repurchase is more informative signal to the equity offering than the indirect repurchase. We construct two sample firms- firms with direct repurchase preceding-equity offerings and indirect repurchase-preceding equity offering, and one control firms-equity offerings only firms-to investigate the announcement effect and the effectiveness of repurchases. Our findings are as follows. Direct repurchase favorably affect the price of new issues favorably. CAR(0, +2) of firms with direct repurchase is not different from that of equity offerings only firms but CAR(0, +30) is higher than that of equity offerings only firms. For firms with indirect repurchase and equity offerings, Both the announcement effect and the effectiveness does not exist. Jung(2004) suggest the possibilities of how indirect stock repurchase can be regarded as one of unfair trading practices on based on the survey results that financial managers of some of KSE listed firms have been asked of their opinion on the likelihood of the stock repurchase being used in unfair trading. This is not objective empirical evidence but opinion of financial managers. To investigate whether firms announce false signal before equity offerings to boost the price of new issues, we calculate the long-run performance following equity offerings. If firms have announced repurchase to boost the price of new issues intentionally, they would undergo the severe underperformance. The empirical results do not show the severer underperformance of both sample firms than equity offerings only firms. The suggestion of false signaling of repurchase preceding equity offerings is not supported by our evidence.

• Knowledge Management Research
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• v.22 no.4
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• pp.71-85
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• 2021

The purpose of this study is to find out which artificial intelligence methodology is most suitable for creating a foreign exchange rate prediction model using the indicators of bond market and interest rate market. KTBs and MSBs, which are representative products of the Korea bond market, are sold on a large scale when a risk aversion occurs, and in such cases, the USD/KRW exchange rate often rises. When USD liquidity problems occur in the onshore Korean market, the KRW Cross-Currency Swap price in the interest rate market falls, then it plays as a signal to buy USD/KRW in the foreign exchange market. Considering that the price and movement of products traded in the bond market and interest rate market directly or indirectly affect the foreign exchange market, it may be regarded that there is a close and complementary relationship among the three markets. There have been studies that reveal the relationship and correlation between the bond market, interest rate market, and foreign exchange market, but many exchange rate prediction studies in the past have mainly focused on studies based on macroeconomic indicators such as GDP, current account surplus/deficit, and inflation while active research to predict the exchange rate of the foreign exchange market using artificial intelligence based on the bond market and interest rate market indicators has not been conducted yet. This study uses the bond market and interest rate market indicator, runs artificial neural network suitable for nonlinear data analysis, logistic regression suitable for linear data analysis, and decision tree suitable for nonlinear & linear data analysis, and proves that the artificial neural network is the most suitable methodology for predicting the foreign exchange rates which are nonlinear and times series data. Beyond revealing the simple correlation between the bond market, interest rate market, and foreign exchange market, capturing the trading signals between the three markets to reveal the active correlation and prove the mutual organic movement is not only to provide foreign exchange market traders with a new trading model but also to be expected to contribute to increasing the efficiency and the knowledge management of the entire financial market.

• Asia Marketing Journal
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• v.15 no.4
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• pp.131-159
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• 2014

Corporate rebranding has been evident in the qualitative corporate rebranding studies as an imposed organizational change that induces mixed reactions and ambivalent attitudes among consumers. Corporate rebranding for the established and familiar corporate brands leads to more ambivalent attitudes as these companies represent larger targets for disparaging information. Consumers are found to hold both positive and negative reactions toward companies and brands that they are familiar with. Nevertheless, the imposed change assumption and ambivalent attitude, in particular corporate rebranding, have never been widely explored in the quantitative corporate rebranding studies. This paper aims to provide a comprehensive empirical examination of the ambivalence towards rebrandingrebranded brand attitude-purchase intention relationships. The author proposes that corporate rebranding for familiar corporate brands is a double-edged sword that not only raises the expectation for better performance, but also induces conflicted and ambivalent attitudes among consumers. These consumers' ambivalent attitudes are influenced by both the parent brands-related and general attitude factors which further affect their rebranded brand attitude and purchase intention. A total of 156 useable questionnaires were collected from Malaysian working adults; and two established Malaysian airfreight operators were utilized as the focal parent brands. The study found a significant impact of prior parent brand attitudes on ambivalence towards rebranding (ATR). The parent brand attitudes served as anchors in influencing how new information was processed (Mazaheri et al., 2011; Sherif & Hovland, 1961) and closely related to behavioral intention (Prislin & Quellete, 1996). The ambivalent attitudes experienced were higher when individuals held both positive and negative reactions toward the parent brands. Consumers also held higher ambivalent attitudes when they preferred one of the parent brands; while disliked the other brand. The study also found significant relationships between the lead brand and the rebranded brand attitude; and between the partner brands and ATR. The familiar but controversial partner brand contributed significantly to the ambivalent attitudes experienced; while the more established lead brand had significant impact on the rebranded brand attitude. The lead and partner brands, though both familiar, represented different meanings to consumers. The author attributed these results to the prior parent brand attitudes, the skepticism and their general ambivalence toward the corporate rebranding. Both general attitude factors (i.e. skepticism and general ambivalence towards rebranding) were found to have significant positive impacts on ATR. Skeptical individuals questioned the possibility of a successful rebranding (Chang, 2011) and were more careful with their evaluations toward 'too god to be true' or 'made in heaven' pair of companies. The embedded general ambivalent attitudes that people held toward rebranding could be triggered from the associative network by the ambiguous situation (Prislin & Quellete, 1996). In addition, the ambivalent rebranded brand attitude was found to lower down purchase intention, supporting Hanze (2001), Lavine (2001) and van Harreveld et al. (2009)'s studies. Ambivalent individuals were found to prefer delay decision making by choosing around the mid-ranged points in 'willingness to buy' scale. The study provides several marketing implications. Ambivalence management is proven to be important to corporate rebranding to minimize the ambivalent attitudes experienced. This could be done by carefully controlling the parent brands-related and general attitude factors. The high ambivalent individuals are less confident with their own conflicted attitudes and are motivated to get rid of the psychological discomfort caused by these conflicted attitudes (Bell & Esses, 2002; Lau-Gesk, 2005; van Harreveld et al., 2009). They tend to process information more deeply (Jonas et al., 1997; Maio et al., 2000; Wood et al., 1985) and pay more attention to message that provides convincible arguments. Providing strong, favorable and convincible message is hence effective in alleviating consumers' ambivalent attitudes. In addition, brand name heuristic could be utilized because the rebranding strategy sends important signal to consumers about the changes that happen or going to happen. The ambivalent individuals will pay attention to both brand name heuristic and rebranding message in their effort to alleviate the psychological discomfort caused by ambivalent attitudes. The findings also provide insights to Malaysian and airline operators for a better planning and implementation of corporate rebranding exercise.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.77-97
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• 2010

Market timing is an investment strategy which is used for obtaining excessive return from financial market. In general, detection of market timing means determining when to buy and sell to get excess return from trading. In many market timing systems, trading rules have been used as an engine to generate signals for trade. On the other hand, some researchers proposed the rough set analysis as a proper tool for market timing because it does not generate a signal for trade when the pattern of the market is uncertain by using the control function. The data for the rough set analysis should be discretized of numeric value because the rough set only accepts categorical data for analysis. Discretization searches for proper "cuts" for numeric data that determine intervals. All values that lie within each interval are transformed into same value. In general, there are four methods for data discretization in rough set analysis including equal frequency scaling, expert's knowledge-based discretization, minimum entropy scaling, and na$\ddot{i}$ve and Boolean reasoning-based discretization. Equal frequency scaling fixes a number of intervals and examines the histogram of each variable, then determines cuts so that approximately the same number of samples fall into each of the intervals. Expert's knowledge-based discretization determines cuts according to knowledge of domain experts through literature review or interview with experts. Minimum entropy scaling implements the algorithm based on recursively partitioning the value set of each variable so that a local measure of entropy is optimized. Na$\ddot{i}$ve and Booleanreasoning-based discretization searches categorical values by using Na$\ddot{i}$ve scaling the data, then finds the optimized dicretization thresholds through Boolean reasoning. Although the rough set analysis is promising for market timing, there is little research on the impact of the various data discretization methods on performance from trading using the rough set analysis. In this study, we compare stock market timing models using rough set analysis with various data discretization methods. The research data used in this study are the KOSPI 200 from May 1996 to October 1998. KOSPI 200 is the underlying index of the KOSPI 200 futures which is the first derivative instrument in the Korean stock market. The KOSPI 200 is a market value weighted index which consists of 200 stocks selected by criteria on liquidity and their status in corresponding industry including manufacturing, construction, communication, electricity and gas, distribution and services, and financing. The total number of samples is 660 trading days. In addition, this study uses popular technical indicators as independent variables. The experimental results show that the most profitable method for the training sample is the na$\ddot{i}$ve and Boolean reasoning but the expert's knowledge-based discretization is the most profitable method for the validation sample. In addition, the expert's knowledge-based discretization produced robust performance for both of training and validation sample. We also compared rough set analysis and decision tree. This study experimented C4.5 for the comparison purpose. The results show that rough set analysis with expert's knowledge-based discretization produced more profitable rules than C4.5.