Earticle

This study aims to show the risk reduction effects of round-the-clock trading environment. We analyse the trading results of the currency futures contracts in CME Globex which are open 23 hours a day. These include Euro FX, Japanese Yen, Australian Dollar, and British Pound from January 2005 to August 2013. We generate new price series using only daytime prices during about 7-hour period. This hypothetical “G” data series may have greater gap risk than the original “R” data series. Empirical results show the trading risk reduction effects, that is R data series have higher profits and lower risks than G data series.

Recently, the service providers are making various attempts to provide smartphone applications for waiting information in order for customers to perceive waiting time short. This research, therefore, investigates the impact of smartphone use on the waiting experience and provide service organizations with effective measures for managing customers' waiting. As a result of this study, utilization of smartphone during the waiting period shows the positive impact on perceived waiting time, acceptability, and emotional response. Among these, the largest impact appears on the acceptability of waiting that has the largest impact on the perceived service quality. In addition, results reveal that smartphone users shows more positive waiting experience than non-users who read newspapers or magazines, watch TV, or do nothing.

This study examines the relationshipsbetween the antecedents of repurchase intention, with special interest in the role of appraisal emotion and recreation motivation for arts attendance. Appraisal emotion is found to have significant influence on perceived value while recreation motivation is found to directly influence appraisal emotion and perceived value. In a addition to customer satisfaction, peripheral service quality is the only factor that directly affectsrepurchase intention. Arts managers ought to focus on improving the whole experience of performing arts.

The purpose of operating the main homepage of University is to provide the related information about University resources to site visitors. In this study, we analyze website browsing patterns and extract characteristics of users in order to improve its utilization. The access log files to main homepage were used to analyze the browsing patterns and converted to process log files adaptable to a process mining tool, ProM. Finally we provide useful information about user friendly homepage design and suggest plans for improving its utilization to website operators.

To have global competitiveness in newly growing industry, good quality R&D’s in convergence technology arerequired. Korean government also started to emphasize the importance of convergence technology as a new engine of growth for the future development. Since 2008, worldwide energy crisis and concerns on low carbon green growth made people focus on the convergence between information technology (IT) and energy technology (ET). However, the R&D performance comparison among the convergence technologies is not well explored so far. Therefore, this study uses Korea’s patent citation database to measure the R&D performance of convergence technologies. We adopt technology development cycle, technology spillover analysis, and technology diffusion analysis to see the knowledge flow from R&D industry to others. We find that IT_ET convergence technology generally shows higher R&D performance than other convergence technologies. Contrary to public belief, convergence R&D by big companies has relatively low performance especially measures in technology spillover and technology diffusion. This implies that they might concentrate on delicate Fuel Cell Energy/Environment Technology (FEIT) or Nano Environment/Energy Information Technology (NEIT) rather than general energy information technologies. We also find that Korea’s chemical industry may play a crucial role for the growth of other convergence technologies.

This study investigates the relationship between stock index and its associated nearby futures markets based on the cost-of-carry model. The purpose of this study is to explore the existence of mispriced futures contracts, and to test whether traders can earn trading profits in real financial market using the information about the mispriced futures contracts. This study suggests the concordance correlation coefficient to investigate the existence of mispriced futures contracts. The concordance correlation coefficient gives a desirable result for trading profits that results from a comparative analysis among profits from trading at the time to indicate trading opportunities determined by the degree of the difference between the observed market price and the theoretical price of a futures contract. In addition, this study also explains that the concordance correlation coefficient developed from the mean square error (MSE) has a statistically theoretical meaning. In conclusion, this study shows that the concordance correlation coefficient is appropriate for analyzing the relationship between the observed stock index futures market price and the theoretical stock index futures price derived from the cost-of-carry model.

This study presents a logging method to trace the usage patterns of existing smartphone apps. The actual smartphone app itself, not a specially developed similar app with usage logging, would be used best for the experiment of observing the usage patterns. For this purpose, we used a method of injecting logging codes into existing smartphone app. Using this method, we conducted an experiment to trace usage patterns of a commercial IPTV app, and found that the method is very useful for acquiring detail usage log without influencing participants.

This study intended to evaluate the viability of cyber education in terms of learning satisfaction and learning achievement. The study integrated two research streams such as social presence model and learning environment model. Where the learning environment model emphasizes the components of learning aids, social presence model considers more deeply the relationships among peers and with instructors. These two research streams have been considered relatively independently. The study integrated these ideas and measured their reliabilities and validities. The results demonstrate that the two constructs are relevantly independent and both of these constructs are very important considerations for the success of cyber education. The study concludes that cyber education 2.0 requires more social presence factors than the learning environment factors such as technological development or new equipments.

As electronic word of mouth plays an important role in purchase behavior among consumers, the number of studies on the impact of electronic word of mouth is rapidly increasing. Nevertheless, it is difficult to discover comparative studies on the mass media which had a great impact on consumer’s purchase behavior before the impact of electronic word of mouth becomes greater versus the social media where electronic words of mouth are created and distributed. It is considered that it seems to be necessary to find an appropriate mutual supplement point between the media designed for a successful marketing by comparing and analyzing the existing mass media versus the social media, major media for electronic word of mouth. Therefore, this study aims to compare and analyze the impact of comments on movie revenue in the representative forms of mass media such as online news and social media blogs. In particular, this study also considers an appropriate media for promoting movies by period by comparing and analyzing the two media before and after film release. For analysis, this study collects the information on the number of comments on online news and blogs in 70 Korean movies released in 2011 and 2012 from five weeks before film release to eight weeks after film release on a daily basis via Naver. This study also collects the information on the movie revenue using the statistical data of movie industry from Korean Film Commission. As a result of empirical data analysis, it is found that the two media showed no difference in movie revenue before film release, but after film release, the impact of blogs was more significant than that of online news.

This study outlines possible risk factors in the SCM of a company and correlates risk assessment, the strategy of risk management, and the supply chain performance. The data is surveyed from an international Korean company and is analyzed by the structure equation model of actual proof. The research model verifies the correlation between the risk assessment, the strategy of risk management, and the supply chain performance as dependent variables after the risk factors of the SCM are defined as independent variables. The research shows that there are consecutive links among the risk factors of the SCM, the risk assessment, and the strategy of risk management. The strategy of risk management was conclusively determined to have an effect on supply chain performance. Therefore, improving the supply chain performance of a company requires the constructive process for risk management based on a correlation between risk assessment and the strategy of risk management.

As the complexity of business environment increases rapidly the use advanced information technology start to affect not only the business processes of individual companies but also the fundamental nature of business and industrial ecosystem. The changes observed at the level of business and industrial ecosystem encompasses a broad range of transformation. This unit of analysis is not sufficiently dealt with by existing information system research. This research attempted to analyze the changes in business ecosystem caused by digital transformation using Social Network Analysis. We studied structural change of the Korea film industry ecosystem chronologically divided by critical events. The film industry is chosen because it is an industry very sensitive to the changes in technology and has gone through massive transformation during the last three decade by way of using modern information technology.

This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer’s responses to the previously recommended item. In specific, our proposed system predicts the user’s emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer’s emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer’s arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer’s reaction data including facial expressions and body movements, which can be measured using Microsoft’s Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers’ responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers’ responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.

ICT based convergence application is one of the most prevalent industrial issue these days. Despite of criticalness and potential economic opportunities of the ICT based convergence, theoretical research to analyze the feasibility and estimate the economic impact of the application is rather limited. This paper is intended to fill this research gap. In this respect, we develop theoretical framework to quantitatively estimate the differential benefits of convergent applications, which necessarily include underling ICT technology’s contribution attributes extractions, and resulting value increments engendered from user’s process effectiveness when ICT based service application is adopted. The research model to assess the differential value of the ICT based service application is developed, grounded on theoretical framework of TPC (Technology-to-performance chain) and contingency fit theories. Scenario based survey method is adopted, and SmartPLS 2.0. is used for statistical analysis of the structural equation model using 312 questionnaire. Valid statistical results are presented to provide useful insight.

Trust and perceived usefulness have been variables frequently used by IS researchers to explain consumers’ online transaction intention. A group of prior studies have incorporated the two variables simultaneously to build better models to capture the phenomenon. However, the studies have largely ignored the role of trust by replacing trust with trustworthiness. The purpose of this study is to fill this gap. To do this, the study conceptualizes and tests relationships between trust, perceived usefulness and related variables. Based on the study results, the study discusses that trust and trustworthiness are distinct and have causal relationships, the dimensions (ability, integrity, and benevolence) of trustworthiness are related but theoretically distinct, and trust performs a mediating role within its nomological network.

This study reviews Korean public informatization policy implemented in last 20 years from the philosophical perspective and attempts to suggest directions to be considered in the future. To accomplish the research goal, this study first analyzes literature in the relevant areas, including philosophy of value, administrative ideology, and public informatization policy. Second, based on the results of literature review, criteria to analyze the public informatization policy are established. Then, the Korean public informatization policy is analyzed based on the established criteria. Lastly, implications for planning and implementing public informatization policy are suggested. Significance of the study lies in its attempt to examine public informatization policy from the philosophical perspective. However, due to its exploratory nature, this study has limitations including less rigorous measurement instruments, limited source of data, limited number of propositions established. Therefore, further studies are needed in these areas.

Global trading is an intrinsically complex endeavor with a number of parties involved. World-trading related international organizations have suggested that Single Window (SW) be used as a means to make the trading process simpler and smoother. However, since each firm has its own requirements and objectives with SW, yet there is no consensus as to what traits of 'good' Single Window are. This study uses IT appropriateness as a determinant to explain an impact on information systems success. Historically, IS success was understood as multi-dimensional constructs such as use and performance. In this study we propose another dimension, continuance, and investigate the relationships among these outcome constructs.