• Asia pacific journal of information systems
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• 제11권3호
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.

• The Journal of Information Systems
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• 제20권1호
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• pp.75-105
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• 2011

This study is an empirical study on the relationships among organizational citizenship behaviors, absorptive capacity, performance of using ERP(perceived ease of use, perceived usefulness, and intention of ERP extension usage). In particular, mediating effect of absorptive capacity and perceived usefulness is empirically analysed to find causes and impacts among these variables. In order to achieve the goals of this study, research models were proposed and hypothesis were drawn to test on the basis of previous studies. A survey was conducted to the members of the seven organizations such as manufacturers, distributors and service industry. The survey questionnaires were sent to 400 people and 304 of them were returned. This data was analyzed with SPSS 12.0 and AMOS 5.0. The study results are as follows. There were no direct effects of the organizational citizenship behaviors on the performance of using ERP. The organizational citizenship behaviors had a positive effects on the absorptive capacity. The absorptive capacity had also a positive effect on the performance of using ERP and the perceived ease of use. The perceived ease of use had a positive effect on the perceived usefulness and the intention of ERP extension usage. Futhermore, the perceived usefulness had a positive effect on the intention of ERP extension usage. In addition, there was a full mediating effect of the absorptive capacity on between the organizational citizenship behaviors and the performance of using ERP. The perceived usefulness had a partial mediating effect on between the perceived ease of use and the intention of ERP extension usage.

• Korean Journal of Computational Design and Engineering
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• 제18권1호
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• pp.36-48
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• 2013

In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.

• The International Journal of Costume Culture
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• 제3권3호
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• pp.235-245
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• 2000

The purposes of this study were 1) to investigate usage level of production strategies based on group of production environment, 2) to investigate usage level of production systems based on group of production strategy, and 3) to analyze each of company performance based on group of production strategy and system. For this study, the questionnaires were administered to 215 apparel manufactures in metropolitan area from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by factor analysis, descriptive statistics, cluster analysis, discriminant analysis, and multivariate analysis of variance. The following are the results of this study. 1. Concerning production strategy due to group of production environment, the stable group and the complicated group prefer to rice/quality centered strategy but the level of usage for strategies is so pretty that it is not significant to carry out them. 2. Concerning production system due to group of production strategy, the workers centered group is occupied high in the price/quality centered group & the complex group. And also the product centered system is occupied high in the flexibility centered group. 3. Concerning company performance due to group of production strategy and system, the price/quality centered group holds low position of performance comparing to another groups. And the performance of the managers centered group is higher than that of the workers.

• International Commerce and Information Review
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• 제10권1호
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• pp.3-31
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• 2008

Northeast Asia is expected to be on economic bloc which is competed with other economic blocs such as EU, NAFTA. E-Commerce based on IT and networking results in paradigm shift in Northeast Asian Nations, that is, Korea, China, Japan, Taiwan etc. There are the similarities and differences in e-Commerce situations in these nations. The differences are the gaps in e-Commerce infrastructures such as Internet, e-Commerce solution, e-payment system and e-logistics system etc. A number of interorganizational, intraorganizational and usage level factors influences the performances of all firms using e-Commerce tools. As result of this empirical study, China records low level of e-Commerce in terms of environmental aspects, usage and performance while Korea and Japan record relatively high levels. It is also found that non-economic performance is higher than economic performance in Northeast Asian firms. The purpose of this paper contributes to resolve the digital divide in Northeast Asia and to improve e-Commerce infrastructures in Northeast Asia by estimating current e-Commerce levels of Northeast Asian countries and suggesting future development strategies of those countries through e-Commerce cooperation.

• Journal of Communications and Networks
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• 제8권2호
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• pp.151-157
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• 2006

In a continuously expanding wireless world, the number of radio systems increases every day and efficient spectrum usage becomes a more significant requirement. Ultra-wideband (UWB) and cognitive radio are two exciting technologies that offer new approaches to the spectrum usage. The main objective of this paper is to shed the first light on the marriage of these two important approaches. The strength of orthogonal frequency division multiplexing (OFDM) based UWB in co-existing with licensed systems is investigated. The opportunity concept is defined, and the requirements of the opportunistic spectrum usage are explained. It is proposed to take the UWB-OFDM from the current underlay implementation, and evolve it to a combined underlay and opportunistic spectrum usage technology, leading to cognitive UWB-OFDM. This way, we aim at making UWB more competitive in the wireless market with extended range, higher capacity, better performance, and a wide variety of applications.

• Knowledge Management Research
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• 제7권1호
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• pp.31-47
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• 2006

In order to manage organizational knowledge efficiently, Knowledge Management System(KMS) is considered as mandatory. This study aims at developing a KMS performance model to predict user satisfaction as well as KMS usage, considering the unique features of KMS. By analyzing 261 surveys with LISREL, we found that community of practice(CoP) characteristics - participation and interactivity among users - significantly affects KMS user satisfaction. This implies that the development of KMS should focus on facilitating users' interactivity and participations such as CoP activity, which differs from the general information system context. We also found that KMS usage is influenced by CoP interactivity, not by CoP participation, and that KMS usage as well as user satisfaction leads to user performance. Interpretations and implications of the findings are discussed.

• Asia pacific journal of information systems
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• 제20권2호
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• pp.103-124
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• 2010

Social communications using information and communication technologies (ICT) for social interactions have been making a significant impact on task performance in organizations. However, most of the existing studies on ICT (e.g., telephone and email) have only focused on technical improvement of communication efficiencies (e.g., information exchange and storage). In this paper, we claim that ICT may be another alternative source of knowledge creation that enables employees to work, find solutions, and achieve their goals faster and better. We investigate the impact of ICT in terms of both tasks and social aspects with knowledge creation as task performance. Also, we investigate the moderating effect of media synchronicity on these relationships. This study contributes to the understanding of contemporary communications media usage and its performance in organizations. We collected and analyzed survey data of 248 company employees, using PLS. The results indicate that task urgency and social influence directly affect ICT usage, and even knowledge creation. Also the media synchronicity moderates the relationship between the characteristics of a given task and ICT usage and the relationship between ICT usage and knowledge creation. Theoretical and practical implications of these findings are also discussed in the paper.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권4호
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• pp.1489-1503
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• 2018

Spectrum reuse has attracted much concern of researchers and scientists, however, the dynamic spectrum access is challenging, since an individual secondary user usually just has limited sensing abilities. One key insight is that spectrum usage forecasting among secondary users, this inspiration enables users to obtain more informed spectrum opportunities. Therefore, spectrum usage forecasting is vital to cognitive radio networks (CRNs). With this insight, a spectrum usage forecasting model for the occurrence of primary users prediction is derived in this paper. The proposed model is based on auto regressive enhanced primary user emergence reasoning (AR-PUER), which combines linear prediction and primary user emergence reasoning. Historical samples are selected to train the spectrum usage forecasting model in order to capture the current distinction pattern of primary users. The proposed scheme does not require the knowledge of signal or of noise power. To verify the performance of proposed spectrum usage forecasting model, we apply it to the data during the past two months, and then compare it with some other sensing techniques. The simulation results demonstrate that the spectrum usage forecasting model is effective and generates the most accurate prediction of primary users occasion in several cases.