This study is an empirical study about the effects of perceived risks and perceived benefits on purchase intention in mobile commerce. Perceived risks and perceived benefits are proposed as mediators that make a significant impact on purchase intention in mobile commerce. Also, this study compared the direct effect of perceived risks, perceived benefits and consumer subjective knowledge to purchase intention. As antecedents of perceived risks and perceived benefits, subjective knowledge, mobile Internet familiarity, credibility for the purchase and provided information level are proposed and verified. Results from this study are as follows: First, the effect of perceived risks to purchase intention is not significant whereas that of perceived benefits is significant. Second, this study revealed that mobile Internet familiarity, credibility for the purchase and information level are significantly related to mobile purchase intention through perceived benefit. Third, subjective knowledge makes a significant impact on purchase intention directly not mediated by perceived risk or perceived benefit. Based on these results, managerial implications for mobile commerce vitalization and marketing strategy are discussed. Finally, limitation for this research and further research issues are suggested.

Recently, owing to the rapid growth of the Internet and information technology, the growth of the Internet shopping mall has been truly phenomenal. In the Internet shopping mall, as the customers can't touch a product directly, trust is important factor in purchasing intention. Many researchers proposed direct relationship between the customer trust and the purchasing intention. We supposed that there would be some factors that could be the consequences of trust in on-line purchasing decision, and the factors could be also the determinants of purchasing intention and decision for the Internet shopping mall customers. We found out that there were indirect relationship between them through the customer's attitude, involvement, and royalty to the site rather then directly related. Particularly, the correlation between the site attitude and the purchasing intention was high, but the direct effect was not significant. The site attitude was indirectly related to the purchasing intention through the customer involvement and loyalty. This means that the customer relationship involvement and loyalty enhancement strategies are more important for the success of Internet shopping mall.

There has been substantial research into the bankruptcy prediction. Many researchers used the statistical method in the problem until the early 1980s. Since the late 1980s, Artificial Intelligence(AI) has been employed in bankruptcy prediction. And many studies have shown that artificial neural network(ANN) achieved better performance than traditional statistical methods. However, despite ANN's superior performance, it has some problems such as overfitting and poor explanatory power. To overcome these limitations, this paper suggests a relatively new machine learning technique, support vector machine(SVM), to bankruptcy prediction. SVM is simple enough to be analyzed mathematically, and leads to high performances in practical applications. The objective of this paper is to examine the feasibility of SVM in bankruptcy prediction by comparing it with ANN, logistic regression, and multivariate discriminant analysis. The experimental results show that SVM provides a promising alternative to bankruptcy prediction.

It is generally believed that, compared to traditional commerce, Electronic Commerce(EC) is more difficult to gain and sustain customers. One of the major reasons that customers do not use EC is lack of trust. Previous researches on the EC user's trust suggested that risk is an antecedent of trust and the concept of trust is highly related to risk. This study proposed a combined model in which includes the factors based on generic information security risk analysis methodology and trust factors in EC. The objectives of this study are follows; first, investigating the relationship between trust and risk that are antecedent factors of purchase intention, and second, examining the validity of information security risk analysis approach in EC environment. Based on the survey results of 143 MBA students statistical analysis showed that factors like threats and controls were significantly related to risk, but assets did not have statistically significant relationship with risk. Controls and knowledge of EC had meaningful effect on user's trust. This study found that risk analysis methodology which is generally used at organizational level is practically useful at user level on EC environment. In conclusion, the results of this study would be applied to generic situation of information security for analyzing and managing the risk. Besides, this study emphasized that EC vendors need to pay more attention to the information security risk to gain customer's trust.

As information systems are introduced in organizations, user attitudes toward IS are crucial factors for the success of such systems. Hence, understanding what affects user attitudes should be a major concern in MIS research. The purpose of this study is to improve the understanding of social influence on IS adoption. Social influence construct is stretched to include four items: subject norm, image, visibility, and voluntariness. Also, this paper examines the roles of two moderators regarding social influence: user characteristics and IT maturity. We could find that 1) social influence has a significant impact on perceived usefulness(PU), perceived ease of use(PEU), and intention, 2) the social influence on PU is more noticeable for knowledge worker than for undergraduate student, and 3) social influence on knowledge worker's PU is stronger for emerging IT(e.g., wireless internet services) than for mature IT(e.g., spreadsheet software).

This study focuses on MRO e-Marketplace and attempts to research how companies select the structure of e-Marketplace governance and how it influences purchasing performance. Furthermore, a longitudinal study is conducted to analyze the dynamic relationship between variables in our research model. The research gives the following results. First, as the utilization level of e-Marketplace increases, the level of relational exchange between purchasing company and e-Marketplace increases. The increased utilization level enhances purchasing efficiency rather than reducing purchasing price. Secondly, as the level of relational exchange between purchasing companies and e-Marketplace increases, system integration increases, whereas supply externality decreases. Accordingly, system integration improves purchasing efficiency, whereas the low supply externality does not help lower purchasing price. Third, compared to the initial growth stage, the stable stage of e-Marketplace has the significantly increased level of relational exchange and purchasing efficiency through system integration, rather than the reduction of purchasing price by supply externality.

This study assessed diversity in MIS research by examining 357 articles published in Journal of MIS Research from 1991 to 2003. The classification system developed by Vessey et al.(2002) was employed to examine research diversity of the articles. The classification system comprises four key characteristics of diversity such as research topic, research method, level of analysis, and reference discipline. The results of our study were also compared with Vessey et al,(2002)'s results to address problems in current MIS research and to suggest some recommendations for the future MIS research in Korea.

Small firms are considered as the last mile in electronic networks of business enterprises. Since small firms lack in their resources and capabilities for IT deployment, it seems a challenging project to make them electronically linked to their trading partners. This study aims to investigate the factors that influence the intent of small firms to adopt electronic linkage to their trading partners. This study considers the context where small firms already have transaction relationships with partner firms and where their adoption of electronic linkage may influence the nature and performance of the transactional relationships. This study considers the expected value of electronic linkage and the joint actions of the trading firms as the major factors. Its research model also includes traditional factors such as influences from the industry and the trading partner, the support of CEO, and the readiness of the trading partner. Based on the survey data from more than 1000 small firms, the present study performs regression analysis and finds that all but one factor are significant in explaining the variations in the adoption intention of small firms. The exception is the joint action, which is shown to decrease the intention. Based on the results, this study offers business and policy implications that would be useful to business managers and policy makers.

The emergence of ubiquitous computing environment will change the service architecture of business information systems such as Decision Support System(DSS), which will be a new application. Recent mobile DSSs allow the decision makers to be benefited from web and mobile technology. However, they seldom refer to context data, which are useful for proactive decision support. Meanwhile, ubiquitous applications so far provide restricted personalization service using context and preference of the user, that is, they do not fully make use of decision making capabilities. Hence, this paper aims to describe how the decision making capability and context-aware computing are jointly used to establish ubiquitous applications. To do so, an amended DSS paradigm: CKDDM(Context-Knowledge-Dialogue-Data-Model) is proposed in this paper. What will be considered for the future decision support systems when we regard ubiquitous computing technology as an inevitable impact that enforces the change of the way of making decisions are described. Under the CKDDM paradigm, a framework of ubiquitous decision support systems(ubiDSS) is addressed with the description of the subsystems within. To show the feasibility of ubiDSS, a prototype system, CAMA-myOpt(Context-Aware Multi Agent System-My Optimization) has been implemented as an illustrative example system.

Recently, e-transformation has appeared as one of the important issues on which academic and industrial worlds focus in order to bring organizational transformation to a company that wants to adapt itself to the rapidly changing business environment. Therefore this thesis aims to develop a new model(a model whose evaluation criteria were based on 3 dimensions, 9 factors, and 30 indices was derived) to evaluate the level of e-transformation that enables firms to check out and predict the e-transformation progress. The present study seems to be the first trial to evaluate the status of e-transformation processes of the firm empirically, especially by integrating the many indices that have not been examined empirically before. We expect that the results from this research will help corporate e-business strategy planners to devise and analyze the e-transformation strategies effectively by recognizing the companies' current situation in comparison with their previous and other firms' level, respectively.