As many universities introduce e-Learning classes as formal courses, numerous research topics relating to c-Learning such as, defining e-Learning, identifying factors affecting successful e-Learning deployment and examining relationships between the factors in e-Learning classes need to be focused on. However, most researches thai have been undertaken only consider the positive side or right functional dimension. This can result in e-Learning dissemination at universities being overlooked. In accordance with this indispensability, the negative factors, which are potentially inherent in e-Learning learner's perception and affect personnel e-Learning acceptance in university classes need 10 be acknowledged. The purpose of this study was to identify the negative factors affecting personnel e-Learning acceptance and to analyze the interrelation among the factors in this research model. The two independent variables avoidable convenience and reliant convenience, based on pilot test results, and self-efficacy and perceived playfulness, based on the relevant literature, are used to examine the research model. The research problem was tested with data collected from 446 respondents in 12 universities. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher reliant convenience is negatively affecting the degree of system use and learner satisfaction, whereas avoidable convenience is only affecting the learner satisfaction. Secondly, the higher self-efficacy and stronger perceived playfulness affects the degree of system use as well as learner satisfaction. Finally, the degree of system use affects the learner satisfaction.

Korean society frenzy about ubiquitous computing is in a rapid change into so called 'Nomadic' information environment. In many previous studies, a number of intrinsic and extrinsic motivation factors were empirically found to affect users' continuance to use mobile hand-held devices. However, the role of device attachment, a new intrinsic motivation factor with which users are known to care about their own mobile devices personally, in determining users' post-adoption behavior was not explored yet to the full scale. To fill the research void like this, this study proposes a new research model in which device attachment as well as perceived value are positively linked to satisfaction and continuance to use. The statistical results obtained by applying PLS to the valid 137 questionnaires showed that the device attachment has stronger positive influence on satisfaction and continuance to use than the perceived value. Therefore, a practical implication is suggested thai the mobile devices need 10 be designed in a way of arousing users' device attachment more strongly.

Social network is one of the representative analytical method of the complexity theory and this research analyzed various and unique strategic alliance model of e-business domain using social network technique. A lot of small and medium firms of e-business field had developed many useful type of strategic alliances for the firms tried to maximize the effect of advertisement, marketing and to make up for their weak points and to compete with huge company with capital strength long before. But it is too rare to analyze the structure of the firm networks and to study the evolution and extension of business model considered the role of each company in the network. Social network analysis helps each firm's network easily visualized and completely modelized. Additionally, this paper cries to analyze the relationship between the role of hub and broke in the firm networks for strategic alliance, and financial performance. We demonstrate the firm with finer business model to the business environment can make higher financial performance. This implies that the firm that can create new finer business model, will lead the network of e-business firms and evolve the industry of e-business.

Recently, RFID(Radio Frequency IDentification) has emerged as the main technology in the logistic services. When the existing recognition technology based on bar codes brings about lots of problem due its own limits. RFID becomes the center of attention to solve them. However, RFID is not without any obstacles : companies have their own operating systems. while RFID is developed regardless of each campany's special features. RFID middleware system based on web service is expected to remove these obstacles. This paper shows how to operate the middleware based on web service and to lay in the DB the tag informations taken from reader system Middle assures that companies adopting RFID system for their logistic service are given athptabwebty to any systems whatsoever, avaweable by way of defining logistic information, tag information and reader information. For this purse, we implement as the basic web service a middleware system that turns all data into XML(eXtensatle Markupmsngunfo) of SOAP(Simple Object Access Protocol), the standard data.

In today's e-business environment, it is important to make decisions cooperatively between companies on a supply chain for their business success. This research analyzes empirically the influences of organizational factors on joint decision making and the ones of the joint decision making on business performance. We collected 188 corporate-level data through a Web survey and tested them statistically through PLS method based on a structured equation modeling. The results showed that (i) partner's knowledge creation capabilities, inter-organizational process modularity, and inter-organizational trust had direct effects on joint decision making, (ii) joint decision making and electronic business interfaces bad direct impacts on business performance. Contrary to our expectation, however, the moderating effects of electronic business interfaces between corporations on the relationship between joint decision making and business performance was not significant. On the basis of these results, we discussed theoretical and managerial implications of the findings. The results are expected to provide useful perspectives when companies establish strategies to improve capabilities of cooperative decision making and business performance.

Today many owners of Web sites are looking to user's satisfaction survey as a key means of measuring the usability of a Web site. While it is preferred for it simplicity and ease of use, this survey method is not without potential risks. This paper focuses on showing that the existing practice of questionnaire-based usability measurement is subject to human recall errors, and that such flaws can be reduced when the questionnaire survey is followed by the users hands-on experience of the site. An empirical study was conducted, and the results indicate that the above speculation holds true. Even if respondents felt highly confident about their responses on a recall survey, a hands-on experience with a focal Web site increased the extent to which the respondents were satisfied with the shopping mall site. This indicates that a user's perception of the quality of a Web site may be distorted or lost as time goes by. In addition, the findings have shown that the use of the verbal protocol analysis method can reveal critical information that can help track the root causes of Web site usability problems, thereby helping to develop site enhancement strategies. The paper concludes with directions for future research.

As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.

Modern persons should do many activities during limited time. In such situation, people feel time pressure because they think that time is short. Time pressure affects negatively several factors such as satisfaction and intention to use through perceived time cost. Ubiquity, an mobile service's characteristic in which users can use desired information or services in anywhere and anytime, would let users feel free from time pressure. This study examines the relationship between perceived time and intention to use and the moderating effect of ubiquity. We performed a survey for users of DMB service, a representative mobile service. Using Partial Least Square, we tested hypotheses. The results suggest that time pressure influences positively perceived time cost and that perceived time cost affects negatively satisfaction but not enjoyment. And the results show that there are the significant positive relationships between enjoyment and intention to use and between satisfaction and intention to use. Finally, the moderating effects of ubiquity on the relationships between perceived time cost and enjoyment and between perceived time cost and satisfaction was found to be positive and significant. We suggests implications basing on the results.

This study investigated the degrees of knowledge management processes according to the levels of social capital(i.e., inter-departmental communication, trust, cooperation and integration) as well as information technology(IT) infrastructure(i.e., knowledge storage and transfer IT, and knowledge search IT) in Korean manufacturing firms. We also demonstrated the differences in organizational performance under various degrees of knowledge management processes. Through cluster analysis with social capital variables, we classified sample firms into five groups; 'the highest firms', 'higher firms', 'middle firms', 'lower firms', and 'the lowest firms'. It was also observed that the degrees of knowledge management processes and organizational performance in 'the highest firms' is the highest. With a structural equation modeling technique, the causal relationships among social capital, IT infrastructure, knowledge management processes, and organizational performance were confirmed. Hence, it is concluded that social capital and IT infrastructure have direct effects on knowledge management processes, and indirectly influence organizational performance through the degrees of knowledge management processes.

Recently, trends of information technology development include offerings of service for personalization, intelligence, and convergence. The research suggested a new tour system that tourists can make their tour packages by applying Semantic Web technology. The system includes ontologies and inference rules for offering intelligent and personalized service. Our system called MYT (Make Your Tour-package) was successfully demonstrated by employing realistic scenarios. Current version of the MYT system needs manager's intervention to link and integrate automatically ontology subsystem and Web service. In further study, the MYT will be extended to the system including a component integrating automatically subsystems and a component capturing and processing context data from RFID/USN.

Recently, plant construction industries are enjoying a favorable business climate centering around developing countries and oil producing countries rich in oil money. This paper proposes a methodology of implementing case-based reasoning(CBR) system for managing knowledge like lessons learned and various documents accumulated in performing power plant construction projects which are receiving a lot of order from foreign countries such as the Middle East, etc. Our methodology is consisted of 10 steps : user requirement gathering, information modeling, case modeling, case base design, similarity function design, user interface design, case base building, CBR module development, user interface implementation, integration test. Also, to illustrate the effectiveness of proposed methodology, the real CBR system is implemented for the plant business division of 'H' company which has international competitiveness in the field of plant construction industry. At present, the implemented CBR system is successfully utilizing as storing, sharing, and reusing knowledge which is accumulated in performing power plant construction projects in the target enterprise.

Maintaining online services of high quality has become a crucial factor for brokerages to gain competitive advantages. Because of the attributes of the product uniformity of online trading, online brokerages have grown significantly with IT development, since the early 2000s. Now, as the online trading business gets mature, the profitability of the IT investment and the quality of IT-based services became questioned. This study examines the issues of IT investment and its contribution by analyzing the relationship between the quality of online service and IT investment. In addition, it also investigates the relationship of the quality of online services and profitability of brokerage. Our results show that IT investment draws cubic-style, curvilinear relationship with the service quality of online trading and only high quality services can lead to the increase of profitability.

물류 프로세스내의 상황결정은 전문적인 물류지원 연구의 중요한 목표이다. CBR(Case Based Reasoning)는 기존의 사건이나 경험으로 현재 발생한 문제의 해결책을 발견하기 위한 기술이다. CBR의 주요 역할은 현재 사건에 있는 문제의 상태를 인식하며 이 사건과 유사한 기존 사건 중의 하나를 통하여 현재 사건의 해결책을 추론함으로써 기존 시스템을 업데이트하는 것이다. 이러한 과정에서 가장 중요한 이슈는 유용한 사례베이스를 구축하는 것이다. 온토로지를 이용하여 상황을 모델화하면, 여러 개체들이 협업하에서 상황에 대한 인식을 공유할 수 있게 된다. 본 논문에서는 CBR 사례베이스 구축을 위한 참조로서 물류 온토로지를 디자인하였다.

R In today's competitive and global business management, Concern of an enterprise is to strengthen the core competency and improve it's internal business process. Therefore, Interest in BPM(Business Process Management) has grown rapidly. BPM is recognized as best solution to meet the needs of organizations that seek the cost down, integration of information, reducing of risk, improvement of productivity. In the past, the company have usually made huge investments in knowledge management systems which are based on repository keeping tacit knowledge. But this paper shows feasibility of implementation of business process-based knowledge management system that could link knowledge with business process. From an academic point of view, Although There could be several ways to build the business process-based KMS. In this paper, when BPM project and KMS project were started at the same time, the way of how to provide workers with task-related knowledge was discussed. As an case study, an estimate process of H company was analyzed and process modelling was carried out and conceptional architecture framework was depicted.

Traditional keyword-based searching methods suffer from low accuracy and high complexity due to the rapid growth in the amount of information. Accordingly, many researchers attempt to implement a so-called semantic search which is based on the semantics of the user's query. Semantic information can be described using a semantic modeling language, such as Topic Map. In this paper, we propose a new method to map a topic map to a traditional Relational Database (RDB) without any information loss. Although there have been a few attempts to map topic maps to RDB, they have paid scant attention to handling multi-role topics. In this paper, we propose a new storage structure to map multi-role topics to traditional RDB. The proposed structure consists of a mapping table, role tables, and content tables. Additionally, we devise a query translator to convert a user's query to one appropriate to the proposed structure.

An index fund is a collective investment scheme that aims to replicate the movements of an index of a specific financial market regardless of market conditions. An index fund is a popular investment alternative because it is much cheaper to run than an active fund and it performs better than actively managed funds. This paper illustrates the usefulness of wavelet analysis in constructing an index fund. The wavelet analysis can decompose the time series data in frequency domain as well as in time domain. The major findings of this paper are as follows. First, the beta coefficient that represents the systematic risk has the scale dependent property. This result can provide important information to the investors with various investment time frequency. Investors can use the betas corresponding to their investment frequencies among the various scale betas estimated by wavelet analysis. Second, we can find the usefulness of wavelet analysis in constructing index fund because the wavelet technique gives less tracking error(difference between the index performance and the index fund performance) than the traditional constructing techniques. The result of this study implies that the wavelet techniques can be an important analytic method to the other financial markets such as option market, futures market, bond markets and currency market.

In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.