• Title/Summary/Keyword: Research Information Systems

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Development of Contents Syndication Systems for Engineering Information Management in Semi-conductor Industries (반도체 산업의 공학 정보 관리를 위한 컨텐츠 신디케이션 시스템의 개발)

  • Kim, Tae-Yoon;Koo, Sang-Hoe
    • Journal of Information Technology Applications and Management
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    • v.13 no.4
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    • pp.109-120
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    • 2006
  • Enterprise Content Integration (ECI)is an IT strategy that improves enterprise' competitive advantages by integrating enterprise wide information and content into a unified view, which in turn supports efficient and effective decision making. Content Syndication Systems (CSS) is a solution that implements the ECI strategy. In semi-conductor industries, it is usual that enterprise content is scattered over tens of legacy systems. Therefore, engineers in semi-conductor companies spend a few hours to locate required engineering information on a daily basis as part of their jobs. In this paper, we develop an enterprise CSS system that integrates enterprise wide contents into a unified view that is suitable for semi-conductor industries. For this research, we first define enterprise CSS, then identify their systems requirements. Then we propose an architecture supporting the identified requirements, and present the implemented prototype. One of the most important requirements is the individualized subscription rule setting for engineering information. For this purpose, we developed methods to represent the information properties and subscription rules.

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Analysis of University Information Disclosure Services in the Co-operative Universities for Operating the Information Disclosure System (대학정보 사전공개서비스 운영분석 - 대학정보공시 운영협력대학을 중심으로 -)

  • Koo, Joung Hwa;Cho, Chanyang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.2
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    • pp.169-197
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    • 2018
  • The research aims to analyze current university information disclosure services in the perspectives of both university records management and services and to recommend ways to improve the current university information disclosure systems and services. The research collects and analyzes various raw data such as laws, guidelines, and manuals of university information disclosure services and the portal site of 'Higher Education in Korea' also known as 'dae-hak-al-ri-mi', and data on each homepage of 40 cooperative universities selected as the research sample. At the result, the research found some limits in the current operation of university information disclosure services: first, the information posted on the university disclosure information system is mostly focused on administrative information rather than information related to research or education within universities. Second, there are the high rate of error and frequent modification in the information posted on the disclosure information system. Third, the menus on both the information disclosure system and homepages of each cooperative university are useless or contents of the menus are empty. The research suggests some solutions to improve these problems: it is required to make up the current legal systems for university information disclosure services and to cooperate all organizations and universities related to university information disclosure services within the united system and rule. Also, it is crucial to attach the metadata of the disclosed information when to post the information to the university disclosure information systems. Finally, it is necessary for each university to employ archivists not only to develop qualified university records to maintain the unique roles and value of universities but also to disclose reliable and authentic information to users and manage the university information disclosure systems effectively and efficiently.

An Empirical Study on the Determinant Factors and Success Factors of Accounting Information Systems Outsourcing (회계정보시스템 아웃소싱의 결정요인과 성공요인에 관한 실증연구)

  • Chung, Jun-Soo;Song, Sin-Geun;Cheon, Myun-Joong
    • Asia pacific journal of information systems
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    • v.11 no.1
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    • pp.91-115
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    • 2001
  • Faced with tougher competition in global, organizations are pressured to improve organizational productivity, including information systems(IS) departments. Especially related to IS, trying to remain competitive and up-to-date in rapidly changing world is becoming a financial burden to many organizations. Through outsourcing, organizations can provide better services and acquire and maintain a competitive advantage. In recent years IS outsourcing related researches have appeared in trade and academic literature. However the research on accounting information systems(AIS) outsourcing is very little or limited. This study attempts to empirically test the relationship between determinant factors and the degree of accounting information systems outsourcing as well as the relationship between success factors and the interactions between the degree of accounting information systems outsourcing and outsourcing success. Based on the previous studies on IS outsourcing and its related theories, determinant factors(transaction characteristic, resource performance, and risk dependence) and success factors(monitor, participation, and vendor capability) were identified and their measures were developed. Empirical results demonstrate that the change in the degree of AIS outsourcing is determined by the specificity of accounting information asset, uncertainty, the effect of internal AIS, AIS cost-effectiveness, and cost increase risks, and that monitor and vendor capability are implementation factors determining the degree of outsourcing success.

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An Empirical Study of the Influence of Expectation, Perceived Performance, and Disconfirmation on Information Systems User Satisfaction (정보시스템 사용자의 기대, 시스템의 지각된 성능, 기대불일치가 사용자 만족에 미치는 영향에 관한 실증적 연구)

  • Kim, Jong-Uk;Shim, Seung-Kyoon;Kim, Byung-Gon
    • Asia pacific journal of information systems
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    • v.14 no.1
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    • pp.101-123
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    • 2004
  • User satisfaction has been widely used by information system(IS) researchers as the most appropriate surrogate variable for the systems success since Bailey and Pearson(1983) provided their user satisfaction measurement. Because user satisfaction is a perceived performance measure by users, not a real or objective measure for systems success, however, perceived user satisfaction by users may not be exactly identical with the real systems performance. In this regard, if the user's ultimately perceived satisfaction is different from the real systems performance, we need to investigate why these two measures are different and which factors may cause the difference. From the perspective of disconfirmation of user expecations, this study examined why user satisfaction and real systems performance may not be identical each other. Expectaion-disconfirmation theory which has had a central role in marketing in explaining the effects of expectation and disconfirmation on consumer satisfaction was similarly adopted in this study to explain the role of expectation and disconfirmation in user satisfaction in the IS environment. Based on the expectation-disconfirmation theory, the current study developed a research model to examine the effects of expectation, system performance, and disconfirmation on user satisfaction in particular. Six research hypotheses derived from the research model were empirically tested using the partial least squares(PLS) method. The results of the statistical analysis indicate that the effects of system performance and disconfirmation were fairly strong on user satisfaction, while the user's expectation has shown insignificant influences on user satisfaction.

Adaptive Lattice Step-Size Algorithm for Narrowband Interference Suppression in DS/CDMA Systems

  • Benjangkaprasert, Chawalit;Teerasakworakun, Sirirat;Jorphochaudom, Sarinporn;Janchitrapongvej, Kanok
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2087-2089
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    • 2003
  • The presence of narrowband interference (NBI) in Direct-sequence code division multiple access (DS/CDMA) systems is an inevitable problem when the interference is strong enough. The improvement in the system performance employs by adaptive narrowband interference suppression techniques. Basically there have been two types of method for narrowband interference suppression estimator/subtracter approaches and transform domain approaches. In this paper the focus is on the type of estimator/subtracter approaches. However, the binary direct sequence (DS) signal, that acts as noise in the prediction process is highly non-Gaussian. The case of a Gaussian interferer with known in an autoregressive (AR) signal or a digital signal and also in a sinusoidal signal (Tone) that included in is paper. The proposed NBI suppression is presence in an adaptive IIR notch filter for lattice structure and more powerful by using a variable step-size algorithm. The simulation results show that the proposed algorithm can significantly increase the convergence rate and improved system performance when compare with adaptive least mean square algorithm (LMS).

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Impacts of Success Factors of Information System on Business Performance through Security Reliability of Casino Information System and Job Satisfaction (정보시스템 성공요인이 카지노정보시스템의 보안신뢰와 직무만족을 통해 경영성과에 미치는 영향)

  • LEE, Dae Kun;HWANG, Chan Gyu
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.181-198
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    • 2016
  • This study explored the performance factors of casino information systems for foreigners, empirically examined the causal relation between these factors and the business performances through organizational trust and job satisfaction and suggested a direction to enhance the casino information systems. The result of this study showed that, firstly, information quality impacted positively on security reliability and job satisfaction. Secondly, system quality impacted positively on security reliability and job satisfaction. Thirdly, service quality impacted positively on security reliability and job satisfaction. Fourthly, security reliability impacted positively on job satisfaction through security reliability. Lastly, security reliability and job satisfaction impacted positively on business performance. This research must be continued by expanding upon the variables of this research study, and there is a need for follow up research on methods that can analyze the management performance of casino information systems from a diverse set of approaches and also research that conducts an analysis on systems that are implemented to prevent tax evasion.

The Social Networking Application Success Model: An Empirical Study of Facebook and Twitter

  • Ou, Carol X.J.;Davison, Robert M.;Huang, Vivian Q.
    • International Journal of Knowledge Content Development & Technology
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    • v.6 no.1
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    • pp.5-39
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    • 2016
  • Social networking applications (SNAs) are among the fastest growing web applications of recent years. In this paper, we propose a causal model to assess the success of SNAs, grounded on DeLone and McLean's updated information systems (IS) success model. In addition to their original three dimensions of quality, i.e., system quality, information quality and service quality, we propose that a fourth dimension - networking quality - contributes to SNA success. We empirically examined the proposed research model with a survey of 168 Facebook and 149 Twitter users. The data validates the significant role of networking quality in determining the focal SNA's success. The theoretical and practical implications are discussed.

A Study on the Framework of the IS Department Innovation (정보시스템 부서혁신의 이론체계 정립을 위한 연구)

  • Chang, Yun-Hi;Lee, Jae-Beom;Nam, Ki-Chan
    • Asia pacific journal of information systems
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    • v.9 no.3
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    • pp.25-46
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    • 1999
  • Today the role of information systems directly affects the goals and operations of companies and is being strategic. Most of Information System Departments (ISD), however, have been losing the credibility due to their failure to respond effectively to their counterparts in the rapidly changing environment. The purpose of this research is to propose a theoretical framework which systematically studies the innovation of ISD. It is intended to understand the critical factors which have an effect on each level of ISD innovation process. It is also intended to understand the performance of ISD innovation through the innovation process. Besides, we try to clarify the conceptual difference between IS innovation, Information Technology innovation, and ISD Innovation. As a result, we propose the structural model for ISD innovation research by analyzing the innovation theory and previous IS innovation studies.

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The effect of learning management system quality and self-regulated learning strategy on effectiveness of an e-Learning

  • Lee Jong-Ki;Lee Jang-Hyung
    • The Journal of Information Systems
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    • v.14 no.3
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    • pp.109-116
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    • 2005
  • With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on the learners' self-efficacy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. In this study, academic performance was measured by student's real record. We will show the validity of the model empirically, and most of the hypotheses suggested in this model were accepted.

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Investigating the Impact of Contextual Data Quality on Decision Performance (상황 데이터 품질이 의사결정 성과에 미치는 영향)

  • Jung, Won-Jin;Kim, Jong-Weon
    • Asia pacific journal of information systems
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    • v.15 no.3
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    • pp.41-64
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    • 2005
  • The effects of information quality and the importance of information have been reported in the information Systems(IS) literature. However, little has been learned about the impact of data quality(DQ) on decision performance. Recognizing with this problem, this study explores the effects of contextual DQ on decision performance. To examine them, a laboratory experiment was conducted. Based on two levels of contextual DQ and two levels of task complexity, this study had a $2{\times}2$ factorial design. The dependent variables used to measure the outcomes of decision performance were problem-solving accuracy and time. The results demonstrated that the effects of contextual DQ on decision performance were significant. The findings suggest that decision makers can expect to improve their decision performance by enhancing contextual DQ. This research not only extends a body of research examining the effects of factors that can be tied to human decision-making performance, but also provides empirical evidence to validate and extend DeLone and McLean's IS success model.