• Journal of the Korea Institute of Building Construction
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• v.12 no.1
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• pp.122-132
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• 2012

Establishing a success model of a specific information system is critical to understanding the mechanism of IS success, the various dimensions of IS performance, and the factors and their causal relations in IS success. As one of the key IT applications, the project management information system (PMIS), particularly the web-based PMIS (Web-PMIS), has played a significant role in construction management processes in Korea. However, there have been few research attempts made to construct a Web-PMIS success model. This study primarily aims to propose a Web-PMIS success model based on DeLone and McLean's IS success model, and to discuss whether or not the D&M IS success model can be applied to the construction Web-PMIS. A questionnaire was sent out to Web-PMIS users (construction managers and constructors), and 253 completed questionnaires were received. Through multi-regression analysis, it was confirmed that it is statistically acceptable to apply the D&M IS success model to the Web-PMIS. However, the explanatory power of the model is not sufficient, and some of the model factors are not statistically significant enough. Relying on the statistical analysis results, this study also discusses the development direction for the Web-PMIS success model.

• IE interfaces
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• v.25 no.3
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• pp.309-318
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• 2012

Forecasting probability or likelihood of technology development success has been a crucial factor for critical decisions in technology management such as R&D project selection and go or no-go decision of new product development (NPD) projects. This paper proposes an analytic network process (ANP) approach to forecasting of technology development success. Reviewing literature on factors affecting technology development success has constructed the ANP model composed of four criteria clusters : R&D characteristics, R&D competency, technological characteristics, and technological environment. An alternative cluster comprised of two elements, success and failure is also included in the model. The working of the proposed approach is provided with the help of a case study example of MRAM (magnetic random access memory) technology.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.847-855
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• 2009

While many studies on feasibility analysis for housing projects have been released, the main focus was on economic feasibility and factors related to developers were not clearly identified enough to be used in practice. In order to establish a feasibility analysis model for apartment development projects requested by developers in Korea, 31 driving factors behind projects' success were identified under seven different categories. Criterions of the each factor were also developed, and weight of each factor was assigned by applying the Analytical Hierarchy Process(AHP). Finally, based on the Monte Carlo simulation, the feasibility analysis model was established, providing probability distribution of project's grade. The model was applied to 12 housing projects to verify its reliability, and found that the model properly filtered projects that are unlikely to be profitable, indicating reasonable reliability of the model. The model can be a useful tool for contractors, especially with less experience in analyzing project development feasibility.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.32-44
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• 2012

The competitiveness of modern organizations highly depends upon organizational competencies rather than individual competencies. However, most of previous studies on project success focused on individual competencies, such as project manager's competency and leadership. Even though there are some assessment models for the organizational project competencies, they are limited in specific organizations and industries. Furthermore, it is difficult to apply them to domestic companies, especially to small and medium enterprises because some assessment items are inappropriate for them. The purpose of this study is to propose an organizational project competency assessment model that is suitable for evaluating small and medium enterprises. First, the assessment areas and items for each area are determined through extensive investigation of previous models including OPM3, CMMI, and PMBOK. Next, the weights of assessment areas and items are decided by AHP analysis of experts response in the field of the project management. Finally, a project competency assessment model with assessment sheets is proposed. The model proposed in this study might support managers of small and medium enterprises to find pros and cons of project competencies and to establish improvement plans.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.463-466
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• 2004

This paper suggests the evaluation method of success factors of CRM implementation using AHP technique, and presents why firms implement CRM, how it could be successfully implemented, and what is the most important factor. For the purpose, this study applies the method to department stores' industry. AHP structure consists of three steps to determine CRM's key success factors. First of all, strengthening loyalty of customers, improvement of service quality, upgrade of intelligence system and advancement of management process are selected as superordinate object (i.e. CRM-implementation goal). The next project factor, technology/data factor and organizational factor were decided as success factor of CRM-implementation. Subordinate criteria of project factor consist of 11 criteria. The experimental results of this study show that department stores think advancement of management process and improvement of service quality as most important purposes for CRM implementation. The results also indicate that among the subordinate success factors, accuracy of customer information, conversion to customer-oriented business model, practical use of experienced consultant, and establishing IT infrastructure for CRM are evaluated as most important success factors for CRM implementation.

• Journal of Information Technology Services
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• v.4 no.2
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• pp.1-22
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• 2005

The object of this study is to elicit major success factors along with the phases of implementing the BPR in case of public corporations. To obtain the goal of this research, (1) this study reviews and integrates the major previous BPR studies and shows critical success factors of implementing BPR projects coincided with the characteristics of the public organizations. (2) This study has analyzed and arranged the details of BPR projects of public corporations in South Korea through the literature survey, the questionnaire and the interview. (3) This study classifies 40 critical success factors which were identified in existing studies into ones belonging to 3 phases of BPR projects implementation: Introduction Phase, Execution Phase and Stabilization Phase. (4) This study has tested the relation between critical success factors on each stage of BPR projects implementation and the performance variables. It has proven that there is the statistically significant correlation between the success factors and the performance. The findings of this study are thought not only to be useful as a practical guideline in carrying out BPR project Implementation but also to provide significant basis for constructing the theoretical framework of effective BPR project implementation strategy.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.665-676
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• 2017

Purpose: The purpose of this paper proposes an effective and systematic methods of risk management in product development project. Methods: This paper first discusses what risk factors be considered during product development period and then presented a model for preventive risk management. For that, this paper proposes how to evaluate the risk factors and risk events, and how to select prevention action for managing risk factors effectively. For this process, this paper uses well-known quality tools such as House of Quality (HOQ) and Failure Mode and Effects Criticality Analysis (FMECA) methods. Results: There is an inherent need for the development of robust risk management framework in order for product development projects to be successful. The identification and quantification of risk factors, risk events, and prevention actions can have significant effects on the success of a product development projects. Project managers can implement the proposed model to improve project success. Conclusion: The findings showed that this method would be effective for project managements in dealing with risk management issues in product development projects. This method presented would be an one of good guidelines for practitioners in the industry.

• Journal of Korean Society for Quality Management
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• v.37 no.3
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• pp.10-17
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• 2009

This study developed a new model for evaluating effects about the success of six sigma activities. This model consists of four constructs such as success of six sigma, employee's success experience, customer satisfaction, and business performance. Structural Equation Modeling (SEM) is used to analyze causality among the four constructs. Hypothesis were tested through a field study conducted for one hundred and thirty-one project leaders, who were asked to evaluate their experiences of six sigma projects. The results indicate that six hypothesis are statistically significant. As a result, the success of six sigma doesn't influence the customer satisfaction directly, but it influences customer satisfaction indirectly through employee's success experience. We find out that control for employee's success experience is important as well as success of six sigma in business innovation. Otherwise business performance is influenced directly by success of six sigma, that is business performance isn't influenced directly by employee's success experience but influenced indirectly through customer satisfaction. This study found that the change management raising employee's success experience is important in Six Sigma.

• Journal of Construction Engineering and Project Management
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• v.4 no.4
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• pp.33-40
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• 2014

Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.114-118
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• 2012

The structure of layer for success factors of company project can be known by FSM which is available to recognize structure of the system. However, the relationship between the layers which belongs to the success factors of company projects can be unknown. From these viewpoints, this study is to analyze the structure of the relation between the layers contained the success factors of company projects using fuzzy system. Therefore, the relationship between lower vs middle layer and middle vs upper layer are obtained by evaluation model of company projects which has possibility and necessity of fuzzy system as fuzzy relation matrix. Using these results, fuzzy relation analysis is done and showed the usefulness.