Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.

This study is to propose a framework for analyzing the role of information systems in organizations, and to make an overture it's applicability for empirical studies to be performed in the future. To accomplish these purposes, this study identified major dimensions which can explain the introduction of various applications based on the interviews with IS staffs of a domestic car manufacturing firm, and reviewed the past researches which discussed the roles of information systems regarding those dimensions. From this mixed approach, this study defined the research dimensions to analyze the role of information systems, which are consisted of the purpose of information processing and the scope of information processing. And then, this study performed the longitudinal case study to analyze the role of information systems in organizational growth based on the framework.

Factors influencing the success or failure of information systems(IS) have been discussed in many literature. However, limited theoretical development or empirical research have examined the effectiveness of hospital information systems(HIS). This study set out the research model of influencing factors and the performance of HIS through theoretical studies based on Management Information Systems, and then empirically tested hypotheses related to the model. The model was tested using LISREL analysis on the sample of 274 respondents who have worked with the HIS. The major results of this study are as follows: First, system characteristics and organizational characteristics have a statistically significant influence on user satisfaction. Second, the hypothesis 3, proposing that computer self-efficacy would relate positively to user satisfaction, was not supported by the results, though. According to these results, system quality, information quality, service quality and support of top management are very important variables for IS success. The study's findings also indicate DeLone and McLean's model is correct in proposing that the indirect relationship between influencing factors and organizational effectiveness, mediated by user satisfaction, is an important one.

This study attempts (1) to analyze the changing pattern of organizational control by investigating the impacts of ERP implementations on the determinants of organizational control types and (2) to compare the performance variances based on the fitness between implementation of ERP and the changed mode of organizational control. Research results reveal that firms with ERP shows high degree of information integration, which partially affects the determinants of organizational control types. Also, results indicate that firms now with ERP shows the higher levels of both behavior and output control than without ERP, and the magnitude of change in behavior control level was greater than that of output control level. Finally, this research suggests that while the firms that implemented ERP for the purpose of quality and service improvement need to more focus on behavior control than on output control, the firms for the purpose of cost reduction need to excercise more output control in order to establish a cost effective control strategy.

In the past few years, many Korean companies have implemented various ERP systems. Despite the enormous efforts and costs, however, there have been doubts about the effectiveness of ERP implementation. The purpose of this study is to identify whether the announcement of ERP implementation affects the market value of the firm. To achieve the research objective, event-study methodology was used assessing the cumulative abnormal returns(CARs) for 33 firms' announcements of ERP investments. Findings of the study are summarized as follows: First, the announcements of ERP implementation have no effect on the firm value though the sign is negative. Second, there is marginally significant difference in the market value of the firm between the first mover of ERP implementation and its followers. In order to figure out any possible reasons of such unexpected results, several investors and fund managers of major investment firms were interviewed. They reached the two agreements that ERP hardly increases the firm value. One was mainly due to the misfit between the foreign business processes built in the ERP systems and Korean firms' traditional business processes. The other was the possibility of financial deterioration caused by substantial costs for ERP implementation.

The technology acceptance model(TAM) has been widely studied in IS research and Internet has been expanded very rapidly in modern society. The purpose of this study is to provide an internet acceptance model and test it empirically. This study extends the TAM model and motivation theory by adding gender. This model posits that perceived ease of use, perceived usefulness and perceived playfulness correlate with Internet use, Test results are as follows: First, the survey suggested the three factors-perceived usefulness, perceived ease of use and perceived playfulness-affect the use of Internet. Second, Difference just appeared in case of perceived use of use between genders but not others-perceived usefulness and perceived playfulness. Third, the result represented that there was nothing that affected the use of Internet by itself among the three factors-perceived usefulness, ease of use and playfulness and perceived usefulness used gender as a moderated variable in the case of the use of Internet.

For the last two decades, there has been much research on computer abuse from the perspective of the general deterrence theory based on objectism, which covers security policy, security awareness programs, and physical security system. The traditional view offered by the general deterrence theory indicates that security policy, security awareness, and security system play a major role in preventing computer abuse. In spite of continuous organizational efforts and investments based on these systematic factors, the incidence of computer abuse in organizations is still rapidly increasing. This paper proposes another perspective-the social control theory based on subjectism-in preventing computer abuse. According to the social control theory, organizational trust, which comprises organizational attachment, commitment, involvement and norms, can prevent computer abuse by reducing insider's computer abuse. The aim of this article is to assess the role of organizational trust come from attachment, commitment, involvement, norms in preventing computer abuse. The results indicate that both organizational trust and deterrent factors are effective in preventing computer abuse.

As the telecommunication market becomes mature in Korea, severe competition has already begun on the market. While service providers struggled for the last couple of years to acquire as many new customers as possible, nowadays they are making more efforts on retaining the current customers. The churn management by analyzing customers' demographic and transactional data becomes one of the key customer retention strategies which most companies pursue. However, the customer data analysis has still remained at the basic level in the industry, even though it has considerable potential as a tool for understanding customer behavior. This paper develops several churn prediction models using data mining techniques such as logistic regression, decision trees, and neural networks. For model-building, real data were used which were collected from one of the major telecommunication companies in Korea. This paper explores various ways of comparing model performance, while the hit ratio was mainly focused in the previous research. The comparison criteria used in this study include gain ratio, Kolmogorov-Smirnov statistics, distribution of the predicted values, and explanation ability. This paper also suggest some guidance for model selection in applying data mining techniques.