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This paper empirically analyzed consumer price search behavior using Web Log data of a Korean web site for price comparison. Consumer click-stream data of the site was used to test the effects of price level, product category, third party certification, reputation of retailers on click behavior. According to the descriptive statistics, 67.4% of shopbot users clicked the offer which was the lowest price returned in a search. We found that third party certification and reputation of retailers were significant determinants of clicking the lowest priced offer from logit analysis. We also applied Tobit regression analysis to estimate the price premium of the two determinants, but only reputation of retailers was found to have price premium of 4.9%.

Recently, ASP business models based on Web services are attracting considerable attention and regarded as the next generation of the ASP business models. It is, however, undesirable for ASP users to adopt them simply because the Web services are the new trend in the IT world. Instead, an in-depth comparison of the benefits against the costs between the Web services based ASP business models and the traditional models are required. Furthermore, it is desirable that this comparative analysis should be applied from the ASP users’ viewpoints rather than those of the government or ASP providers. So, we have applied a comparative ROI (Return on Investment) analysis from the ASP users’ perspective and shown that the Web services based ASP business models (382%) are superior to the traditional models (280%) in terms of ROI. We have also employed Balanced Scorecard (BSC) framework to keep the balance between tangible and intangible benefits considering the characteristics of IT value measurement.

In a few years, a variety of mobile devices are expected to be utilized as a necessity for business as well as personal communications. Thus it is needed to conduct a comprehensive study on the acceptance of mobile devices in the mature market like Korea. This paper develops an extended technology acceptance model by including functional attributes of cellular phone and examines the determinant factors causing accepting cellular phones. Our empirical analysis through the internet survey shows that 1) among the determinant factors, perceived usefulness, perceived enjoyment or fun, and social pressure have positive direct impacts on the intention of accepting cellular phone, and 2) functional attributes of cellular phone affect the determinant factors differently.

In this paper, we investigate the economic repercussion effects of the domestic satellite industry. The market size of the satellite industry between 2005 and 2009 is forecasted based on the world market forecast. By using the Input-Output analysis technique, three kinds of repercussion effects (domestic production, value added, workers induced by the satellite industry) between 2005 and 2009 are calculated.

Case-based Reasoning (CBR) is widely used in business and industry prediction. It is suitable to solve complex and unstructured business problems. Recently, the prediction accuracy of CBR has been enhanced by not only various machine learning algorithms such as genetic algorithms, relative weighting of Artificial Neural Network (ANN) input variable but also data mining technique such as feature selection, feature weighting, feature transformation, and instance selection As a result, CBR is even more widely used today in business area. In this study, we investigated the usefulness of the CBR method in forecasting success in implementing ERP systems. We used a CBR method based on the feature weighting technique to compare the performance of three different models：MDA (Multiple Discriminant Analysis), GECBR (GEneral CBR), FWCBR (CBR with Feature Weighting supported by Analytic Hierarchy Process). The study suggests that the FWCBR approach is a promising method for forecasting of successful ERP implementation in Small and Medium sized Enterprises.

Many SMEs have adopted ASP models which have brought various benefits to SMEs such as decreasing the total cost, using new IT technology, enhancing the maintenance, and implementing the information systems rapidly. Ministry of Information and Communication had implemented the ASP diffusion project for the ASP venders and SMEs between 2001 and 2003. As results of this project, various industries adopted the ASP applications of which the performance was enhanced, and then the competitiveness of the ASP vendors in Korea was increased. The purpose of this study is to make a strategy of the penetration into China market for ASP services which have competitive advantages. This study uses various research methods such as questionnaire survey, visiting SMEs in china and making interviews. This study shows the current status of Chines ASP market, the several cases of using ASP services, and questionnaire analyses(service recognition, service requirement and factors and infrastructure, business environment and supporting organiztions etc) of ASP demand. And finally this study proposes several strategic considerations in entering China market and suggests several supportive policies for supporting Korean ASPs.

This research surveys how much firms are satisfied with the graduates of the MIS Department of C University. The subjects of this research are the graduates of the department who are working as full time workers and their supervisors, coworkers and subordinate workers evaluate how much they are satisfactory regarding their ability and knowledge to do their jobs successfully. The subjects are classified into IS practitioners and non-IS practitioners based on the tasks they are currently taking charge of. The results show that the IT - related part of the curriculum of the department provides a relative advantage for non-IS practitioners and that the management-related part of the curriculum provides a relative advantage for IS practitioners. The results also show that the curriculum does not provide the graduates enough technical proficiency to develop a successful carrier as IS specialists.

Spatiotemporal data are records of the spatial changes of moving objects over time. Most data in corporate databases have a spatiotemporal nature, but they are typically treated as merely descriptive semantic data without considering their potential visual (or cartographic) representation. Businesses such as geographical CRM, location-based services, and technologies like GPS and RFID depend on the storage and analysis of spatiotemporal data. Effectively handling the data analysis process may be accomplished through spatiotemporal data warehouse and spatial OLAP. This paper proposes a multidimensional model for spatiotemporal data analysis, and cartographically represents the results of the analysis.

During the past several years, a number of attempts have been made to develop computer applications for the farm business. However, none of them truned out properly applicable to small farms occupying more than 90% of the total agri-business in number as they failed to take it into consideration that small farm, typically a private busines is quite different by nature from the large-scaled farm corporate. Small-sized farming is usually done on the houshold basis, and thus there is no distinction between the household and the business economy. In addition, small farm managers are mostly lacking knowledge or skills of both computers and accounting. This study, therefore, aims at the design and implementation of the financial management and accountign information system for small farms, with an attempt to relax constraints and resolve pitfalls revealed in previously developed applications. The following principles were introduced for the study： 1) The user-system interfaces have to be managed in the natural language as much as possible, so that the users can operate the system without any professional terms. 2) Household accounting has to be seperarte by some means from the business accounting, so that small farm businesses can manage their finance and accounting as necessary. 3) The system has to be designed so as not only for the users to manage transactional data but to analyse historical data in multiple dimensions for their decision-makings. The results from this study would perhaps help not only for the farmers but for the educators, policy makers, and counselors for the farming.