• Journal of Korea Society of Industrial Information Systems
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• v.10 no.2
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• pp.87-101
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• 2005

Many studies on the SCM related topics have been carried out during the last decade. However, most of research focused on identifying critical success factors of SCM with collaborations between partners. There have been a need for the integrated SCM success model and for identifying indicators of SCM performance measurement. In this study, we suggest the SCM success model classifying 5 aspects with key indicators for measurement. The suggested model can be applied to the measurement of SCM success.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.75-96
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• 2019

These days, many companies use information systems as a basis for organizational management activities and as an important component of sustainable management. Thus, securing and operating a high-quality information system that can improve the efficiency of business processes is a large part of corporate competitiveness. In order to get such a critical information system, it is only possible to successfully carry out the project. Various attempts and studies have been undertaken to increase the success rate of the project. However, the reality is that the success rate is still not getting much better. In this study, the concept of quality of service, which has long been actively studied in marketing area, was applied as a new factor to enhance the project's success. In this study, project performance activities were defined as the act of providing services. A survey of 164 valid collection data was analyzed. The analysis used SPSS 23. Four process quality factors (customer participation, customer response, knowledge and skills, reliability) and 21 metrics were derived. Through this research, I hope to be the starting point of applying process quality concept as a new breakthrough to increase success rate of project.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.64-77
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• 2002

In every sectors of industry, the Business Process Reengineering(BPR) has been applied for taking competitive advantage under rapidly changing environment. A company adopting the BPR has begun to consider the introduction of Enterprise Resource Planning ERP systems. ERP systems can integrates many core activities of business, such as manufacturing management, human resource management, financial management, supply chain management by applying the best practices to facilitate a rapid decision-making, cost reductions, and organizational control. Unfortunately, however, many tentative risk factors are existed through each phase of the introduction of ERP systems. As a result, it can bring an enormous benefits to a company or it can be a disastrous for organization. Therefore, two critical questions regarding the introduction of ERP systems should be analyzed before actual introduction has happened. They are "how can ERP systems be introduced successfully\ulcorner" and "what are the critical success factors for each phase of introduction of ERP systems\ulcorner". Through this research, We studied and analyzed the characteristics of critical success factors requiring at each phase of the introduction of ERP systems by applying the questionnaire survey method. Finally, we suggest the list of barriers and critical success factors for each phase of introduction of ERP systems.tion of ERP systems.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.4
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• pp.1-21
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• 2001

The purpose of this stuffy is to derive critical success factors for ERP system implementation by integrating managerial, technical. human resource and organizational culture factors welch have been proposed as influencing factors for the performance of ERP system implementation in previous studios. Especially, this stuffy divides ERP system implementation process into preparation stave, implement stage and settle-down and stabilization stave, and then derives critical success factors in each stage. The data for empirical analysis of the research model are collected from 64 companies and the respondents for questionnaire consist of ERP system implementation project managers and user department managers in companies which have already operated it after ERP system installation. The main results of this study are as follows. First, it derives 27 success factors through comprehensive review of various factors which may affect ERP system implementation performance, and categorizes them into one of three stapes preparation stave, implement stage, and settle-down and stabilization stage. Second, the relationship between many success factors at each stave (preparation stave, implement stage, and settle-down and stabilization stave) and performance variables is tested. As a result, the significant correlations between many success factors at each stage and ERP system implementation performance are found, and the difference among success factors in the degree of influencing the system performance is significantly shown. finally, the relationship between process-oriented performance variables and result-oriented performance ones is tested. As a result, it is found that there is significant correlation between process-oriented performance variables except for one variable-project resource management appropriateness - and result-oriented performance ones. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing ERP system project from the system deve1opment life cycle perspective, and empirically test it through field survey with a wide range of data collection. And, the practical implication of this study is to present the desirable guidelines for performing ERP system implementation project successfully.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.157-171
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• 2014

A organization of social enterprises is to achieve various goals such as private interests, the public nature, and social policy. For fulfilling these goals, we have to understand the various success factors. These success factors were shared among peoples. This study explored a position of structure of social network formed by success factors of Social Enterprises with importance. A position within social network defined a number of link connected other nodes. A position is closely associated with to individual's behaviors, opinions and thinking. We used social network analysis with two mode method for explaining feathers of structure of social network formed by success factors shared among peoples. We choose degree centrality for determining a position within social network. Centrality is a key measure in social network analysis. Results is that shared success factors are operation capital(15.15%) totally, and by Buying experience of products of Social Enterprises, Business Compliance(14.39%) and planning(12.88%), and by usage time of smart devices, Business Support(17.05%) and planning(16.10%). and the dominant success factor was not explored.

• The Korean Journal of Health Service Management
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• v.3 no.2
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• pp.17-27
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• 2009

The purpose of this study was to identify the impact of e-commerce system satisfaction on e business success factors. We developed the questionnaire for measuring system satisfaction and success factors and tested internal reliability and construct validity. Cronbach's alphas of all system satisfaction factors were above .79 and that of e business success factors were above .82 except partnership (.66). In the regression models, we tried to identify all possible independent variables such as individual factors, organizational factors, system vendor size, order items in their systems and system satisfactions. Using Partial F-test, the regression model with system satisfaction factors, individual and organizational factors was identified as the optimal model in explaining the dependant variable. In the best model, system readiness and timeliness was significant determinants of e-business success evaluation. After using 7 success evaluations factors as the dependant variables, only three models were significant linear models, which were the models with partnership, CEO willingness to e-commerce and e-commerce support. In those models, system readiness and timeliness showed consistent influences to success factors.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.348-362
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• 2010

In the Knowledge-based economy, it is inevitable for companies to implement knowledge management(KM in short) to improve management performance. In order to better understand the KM, it is necessary to examine the relationship between success factors of KM and KM performance in agribusiness sector. This study empirically analyzes the impact of success factors of Knowledge Management on companies' management performance in agribusiness cluster. From the survey data of 43 companies located in Sunchang fermented soybean products Industrial cluster, the study finds that four factors- learning culture, network, knowledge sharing and knowledge creating- influence management performance in a positive way. It also examines whether Industrial cluster strategy functions as a moderator between KM success factors and companies' performance. Furthermore, this study concludes that Sunchang fermented soybean Industrial cluster has not reached to the final stage of KM and suggests elements for further improvements.

• Journal of Information Technology Applications and Management
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• v.20 no.1
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• pp.107-132
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• 2013

Project management is critical for the success of the large and complicated IT project. Accordingly, to improve the efficiency of the project management, operation of separate Project Management Office (PMO) organization is getting important. Despite the appreciation of PMO as necessary for project success, the result has not always been positive. In this respect, we intended to formalize the PMO success model by incorporating necessary factors related to PMO services and capabilities, and their relationship. Empirical testing results verified critical antecedents comprising PMO services, which included schedule, quality, budget and others. Furthermore, moderating impacts of PMO capabilities are quantitatively assessed. The research findings offer practical insights for successful management of PMO.

• Journal of Korean Society for Quality Management
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• v.23 no.3
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• pp.1-19
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• 1995

This study sets a purpose to realize what top managements in companies think as critical success factors of QM, using CSF(Critical Success Factors) method. The methodology of this study consists of literature research and empirical analysis using data collected from interviewing and questionnaire. Medium and small sized manufacturing companies are the subject of this study. Following CSFs of QM are found. (1)Management philosophy of attaching great importance to customer and customer satisfaction. (2)Creation of atmosphere that attach great importance to technology. (3)Philosophy of honesty and faithfulness. (4)Positive thinking and creation of atmosphere that help with each other. (5)Rearmament of entrepreneur spirit. (6)Need on recognition of partnership between labor and management. (7)Participation and will of top management. (8)Principle of Participation of entire members. (9)Harmony of innovation and continuous improvement. (10)Establishment of overall quality-related system. A Recognition of need on ISO-9000 series.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1309-1309
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• 2024

This resarch showed that the factors contributing to the success or failure of international joint ventures (IJVs), such as those between Japanese and American engineering companies, are influenced by information sharing and consensus building within the IJV. Based on the available information about such IJV projects, the factors were evaluated by the following statical method. However, the mechanism is not simple and includes many mediating and interaction effects between explanatory variables due to the uncertainty of the environment surrounding the project. Based on existing research on risk management in Project management area, it was revealed that the analyzed factors behind IJV success and failure based on the analysis model that integrates the above perspectives and incorporates typical risk items for projects as pointed out by PM-related academic and practionors societies. It was demonstrated that it can be explained quantitatively by applying the Multivariate analysis method. This analysis method could be expanded to the future evaluation of the projects risk item during the planning stage of the projects.