In this research, for find out how operations efficiency for ERP systems, after introducing ERP to manufacturing firms with DEA technique. According to research analyzed relative time dependent efficiency, using Time Window Analysis. And for company group and the other firm within the each same Industry, the relative effectiveness of each company group establishment was compared using DEA.

South Korea became the country where there is the most plastic surgery per person in the world. Plastic surgery already has been the core part in the beauty industry. Therefore, in order to understand the beauty industry, we studied the characteristics of the plastic surgery's websites. From 2006 to 2011, we researched total number of 407 plastic surgery websites including, 166 the most visited plastic surgery websites, 241 comparing of bench mark websites. The collected data was analyzed by using the method of Multiple Discriminant Analysis(MDA). As a result of the research, firstly, the most visited plastic surgery websites were not a contents provider but a community website, secondly, well organized and actively adaptable of the rapid changes from environment. In addition, there were also competitiveness to become the most visited plastic surgery website and by the possibilities, the relatively large size of plastic surgery had high probability to own the most visited website. This research paper is looking forward to be used as the understanding the e-business of the plastic surgery.

This paper analyzes the effect of network neutrality regulation on social welfare using the two-sided market under the network congestion. This paper deals with zero price rule regulation which means the price regulation on the side of content. The results are as follows : First, under the monopoly platform, internet use price, contents price, and the number of internet user and content provider are all decreasing as the network congestion increases. Second, under the monopoly platform internet use price, contents price, and the number of internet user and content provider are all increasing as the network capacity increases. Third, the price of internet use and contents internet use which maximize social welfare are increasing and the number of internet user and content provider are decreasing as the network congestion increases. Fourth, optimal network capacity for monopoly platform provider is less than socially optimal network capacity. Fifth, if network neutrality regulation is enforced, the price of internet use is higher than monopoly platform provider and the price of contents is lower than monopoly platform provider. Also, the number of internet user is less than monopoly platform provider and the number of content provider is more than that. By the way, when network congestion increases, internet use price, the number of internet user, and the number of content provider are decreasing. Sixth, network neutrality regulation is more effective for internet user side than contents provider when network congestion is considered. This means that network neutrality regulation is not effective for contents market side when network congestion is seriously large.

Real time accessiblity and agility in Ubiquitous-commerce is required under ubiquitous computing environment. The Research has been actively processed in e-commerce so as to improve the accuracy of recommendation. Existing Collaborative filtering (CF) can not reflect contents of the items and has the problem of the process of selection in the neighborhood user group and the problems of sparsity and scalability as well. Although a system has been practically used to improve these defects, it still does not reflect attributes of the item. In this paper, to solve this problem, We can use a implicit method which is used by customer's data and purchase history data. We propose a new clustering method of weighted preference for customer using k-means clustering and Bayesian network in order to improve the accuracy of recommendation. To verify improved performance of the proposed system, we make experiments with dataset collected in a cosmetic internet shopping mall.

The recent rise in the unstructured data generated by social media has resulted in an increasing need to collect, store, search, analyze, and visualize it. These data cannot be managed effectively by using traditional data analysis methodologies because of their vast volume and unstructured nature. Therefore, many attempts are being made to analyze these unstructured data (e.g., text files and log files) by using commercial and noncommercial analytical tools. Especially, the attempt to discover meaningful knowledge by using text mining is being made in business and other areas such as politics, economics, and cultural studies. For instance, several studies have examined pending national issues by analyzing large volumes of texts on various social issues. However, it is difficult to create satisfactory information services that can identify R&D documents on specific national issues from among the various R&D resources. In other words, although users specify some words related to pending national issues as search keywords, they usually fail to retrieve the R&D information they are looking for. This is usually because of the discrepancy between the terms defining pending national issues and the corresponding terms used in R&D documents. We need a mediating logic to overcome this discrep 'ancy so that we can identify and package appropriate R&D information on specific pending national issues. In this paper, we use association analysis and social network analysis to devise a mediator for bridging the gap between the keywords defining pending national issues and those used in R&D documents. Further, we propose a methodology for packaging R&D information services for pending national issues by using the devised mediator. Finally, in order to evaluate the practical applicability of the proposed methodology, we apply it to the NTIS(National Science & Technology Information Service) system, and summarize the results in the case study section.

At the center of the repeating evolution of IT industry, there is mobile computing in the ubiquitous environment, and the increasing usage of smart phones contribute more to its growth. P corporation co-developed with Google and implemented smart work system called SWP for the purpose of 'communication and collaboration with co-workers' beyond the general goal of increasing productivity and comfort of employees. The primary objective of this study is to objectively analyze the influence of the effect factor from end user's perspective and user satisfaction on SWP usage, intention for continuous usage and individual performance. To accomplish this research purpose, this study established research models and hypothesis by collective review about information system success models, and tested the research hypotheses using the structural equation modeling technique by data collected from 320 SWP system users of P corporation. Variations for system satisfaction evaluation standard are 1)SW system usage 2) intention for continuous usage 3) individual performance, effect variations are 1) social factors 2) technical factors 3) combination of social and technical factors. Therefore, this study is about influence factors on success of SWP system and how the factors impact the outcome. The test results of this research model is summarized as follows. Firstly, system user's satisfaction had positive impact on all three; SWP system usage, intention for continuous usage and individual performance. Secondly, social factor 'SWP control system' and technical factor 'information quality' and 'system quality' had positive impact on SWP system user satisfaction, while social factor 'shared value' and technical factor 'service quality' did not have significant effect on user satisfaction. Shared value however, had interactive effect with 'information quality' and 'service quality'. This study is expected to contribute to spread of academic research on smart work system by suggesting a model that can show important factors for corporation while explaining the successful implementation of SWP and its continuous usage.

In general, researchers, policymakers, and practitioners consider innovation by producers as a primary mode in a market economy. However, the recent research has shown that some of the most important, novel products and processes have been developed by users-both user firms and individual end-users. According to von Hippel [1988], he found that they were the developers who made about 80 percent of the most important scientific instrument innovations as well as the major innovations in semiconductor processing. In this research, we conducted grounded research on user-led innovation at the corporate-level. Also, we analyzed the train development project (SR000) of Seoul Metropolitan Rapid Transit Corporation (SMRT). We focused on identifying the success factors of user-led innovation, and development process.

These days a great mix of traditional and digital contents such as movie, broadcasting, advertisement, e-books, music, game, animation, cartoon, character, knowledge information, and art performance are widely available. Many more are yet to come, with improved quality and added features. It is expected that all these contents will be evolved into a new breed of convergence content through the process of consolidation, expansion, integration, and recreation. Across the digital ecosystem, a new formula is being added to the industrial structure : 'Information/Content-Platform/Device-Goods/Service.' In the near future, as a result of technological innovation and convergence, the business sector will lose its boundaries as well, as businesses will be forced to look beyond the product itself and focus more on multi-functionality. Especially, in the era of creative economy, more policies need to be crafted in order to procure a new growth engine for the future with the agenda for convergence between humanities and technology. Therefore, the purpose of this paper is to analyze the concept, factors, elements, types, and cases of convergence, which are the essence of content convergence. This analysis, with its focus on the convergence process, will help identify the effects and limits of content convergence as well as the prospects for convergence contents in the smart ecosystem under the creative economic system.

As the business has been highly informatized, many companies has bought the software for their works. There are two types of software license. One is a site license and the other is a user license. This paper is focused on the user license. User license has the number of the right to use software. So, software managers always need to know the number of licenses in use and should limit the number of software license in use. If someone in the company use a software without license, he will be treated as a piracy. In that case, the company should pay for the settlement cost for the exceeding license use. In this paper, we suggest the model how we can limit the installation of the software within the number of licenses by license management system.