• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.171-184
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• 2005

The e-business strategies ultimately Pursue creating the maximal value for customers through the competitive advantages and business opportunities newly created on the basis of information technologies. For the realization of e-business strategies, the successful implementation and operation of e-business system must be the crucial activities in and out of an organization. Therefore, in physical world, there were lots of interests that what kind of key factors can lead the success of e-business system. Moreover, in the field of academia also, there have been many research results for investigating and finding out the key success factors for e-business system. However, the perceptual level of the significance of key success factors that organization members perceive can be changed over each phase of system life cycle such phases as introduction, growth, maturity, and decline. This study investigated that there might be significant differences in the perceptual level regarding importance of success factors among phases of system life cycle.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.9-18
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• 2007

The success of a building design team is achieved as a result of a combination of multiple events/factors and interactions, and has a great impact on the quality of the building construction process. While most of previous studies have focused on quality of the construction process, the success of a design team has not been completely investigated. This paper presents the critical factors that impact the success of a building design team and describes an assessment tool to measure the successful performance of the design team with respect to the critical factors. The development of the assessment tool employs the concept of quality function deployment (QFD), a technique to measure the service quality of an organization.

• The Journal of Information Systems
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• v.17 no.4
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• pp.51-77
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• 2008

Empirical studies on the implementation of data warehousing systems(DWS) are few while there exist a number of researches on the implementation of IS. This article intends to examine the factors affecting the implementation success. of DWS. It adopts the empirical analysis of a sample of 112 responses from DWS practitioners. The study results suggest several implications for researchers and practitioners. When the support from top management becomes great, the implementation success of DWS in organizational aspects is more likely. The support of resources increases the implementation success of DWS in project aspects, while it is not significantly related to the implementation success of DWS in organizational aspects. The user involvement in systems implementation, however, affects the implementation success of DWS in organizational and project aspects. Prototyping for the DWS implementation positively affects the implementation success of DWS. This indicates that the extent of understanding the requirements and the communication among project members increases also the implementation success of DWS. The extent of consulting activities in DWS projects increases the implementation success of DWS in project aspects. The continuous support of consulting activities and technology transfers enhances the adherence to the project schedule, preventing the exceeding of the project budget and ensuring the implementation of the intended system functions.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.217-229
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• 2019

The purpose of the research is to verify how task characteristics for business and technology characteristics, economic feasibility, technology readiness, organizational factors, environmental factors of cloud computing affect the performance of cloud computing adoption through Fit and Viability. The research aims to verify the relationship among the success factors for adopting cloud computing based on the Fit-Viability model. Respondents who work for IT companies which is using cloud computing in South Korea were chosen. The data was analyzed by the structural equating model. As a result, Task characteristics and Technology characteristics affected Fit in a positive manner, while Technology readiness, Organizational factors and Environmental factors also positively impacted Viability. Fit and Viability both affected the successful adoption of cloud equally. In particular, Environmental factors were proven to have the biggest impacts on Viability, and affected highly indirect impact on the Performance of cloud computing adoption through Viability. Entering the era of the fourth industrial revolution, corporations have established digital transformation strategies to secure a competitive edge while growing continuously, and are also carrying out various digital transformation initiatives. For the success of adoption of foundational technologies, they need to understand not only the decision-making factors of adopting cloud computing, but also the success factors of adopting cloud computing.

• The Journal of Information Systems
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• v.16 no.4
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• pp.177-194
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• 2007

This study is intended to identify critical success factors(CSF) of real-time enterprises(RTE) by using a policy leverage method of system dynamics. Since RTE is a new theoretical system that unifies existing theories or concepts in business management and information technology, it is not proper to employee a traditional statistical method. To obtain our research goal, causal maps of system dynamics are employed to abstract and arrange RTE information from previous studies. By using the commonness of policy leverage and critical success factors, CSFs for the RTE are deduced by substituting the leverage points on causal maps with necessary success factors to solve the problems. Since this is a new approach to identify success factors. it has some restrictions. Unlike the statistical methods, this approach explains only the directions of causalities and correlations. For the future research, a simulation tool of system dynamics can be employed to discover how each CSF is correlated to the successful implementation of RTE.

• Knowledge Management Research
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• v.3 no.2
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• pp.85-101
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• 2002

Theoretical foundations of the knowledge management(KM) have been perceived still developing in the field. And, the literature shows many key success factors for KM, but, in more conceptual and abstract term. Companies interested in knowlege management demand for practical guidelines. Based on the constituent elements of KM, this study classifies key success factors identified from thirty three success cases, domestic and in other countries. Further, fifteen propositions are suggested and discussed for future research and project management in KM.

• The Journal of Information Systems
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• v.11 no.2
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• pp.47-72
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• 2002

In the beginning of new millennium, Business-to-Business(B2B) Electronic Commerce(EC) is a hot issues of the world business and economic communities. The market of B2B EC is increasing rapidly, and become a more complex and competitive because many participants and intermediaries are play on their own objectives and strategies. To cope with the situation, participants of B2B EC market should make play with a competitive strategies. So, the participant enterprises must know the critical success factors of their own EC market. This study identifies B2B EC success factor measurement sets, and explores several success factors based on the perceived importance of B2B EC practitioner in the manufacturing enterprises. The study tests the differences of success factors by IS level, EC business model characteristics, and EC introduction and operating characteristics.

• Asia pacific journal of information systems
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• v.11 no.1
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• pp.175-203
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• 2001

This study empirically examined the effects of 12 factors on the success of data warehousing. We also introduced the characteristics of end-user community as moderating variables. Several hypotheses were set up to identify the relationships among these variables. And the survey instrument(questionnaire) was developed to collect data. Ultimately 183 questionnaires from 61 korean firms were collected. Findings showed that 9 factors affect positive effect on the success of data warehousing. Also the characteristics of end-user community can be considered significant moderating variables between success factors and success of data warehousing.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.995-1000
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• 2008

Software Process Improvement(SPI) becomes an important issue at software quality. A research model is suggested on the basis of previous literature. The model includes success factors for SPI as independent variables and CMM levels as mediating variables, and defines organizational performance as dependent variables. This study basically investigates causational relationships among SPI success factors, CMM levels, and organizational performance through a structured equation model. A LISREL v8.72 for windows is used for statistical analysis. Even through success factors for SPI partially influences the CMM level, the CMM level is fully related to the level of organizational performance. The results show that the success factor for SPI in Korean companies are not equal to the factors abroad, but indicate that the CMM level is closely related to the organizational performance. These results will be helpful to academicians as well as to practitioners.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.1-20
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• 2004

Finding the factors to affect the success of the business web sites is critical to enhance their competitiveness. This paper categorizes these factors into 4 quality measures: system, information, service and entertainment. The success is measured via user's satisfaction and loyalty. It surveys 474 Internet users to explore the effect of the quality measures on web site success. We confirm the causal effect of quality factors on users' satisfaction and loyalty. Furthermore, a comparative study is performed for web site types, such as finance, e-commerce(shopping mall), and entertainment. We note that the effect differs in web site types.