• Journal of Construction Engineering and Project Management
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• v.1 no.1
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• pp.25-30
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• 2011

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.205-211
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• 2002

The purpose of this paper is 1) to extract managerial factor into each cell which is classified by the characteristic grill of new products 2) to construct a management model of new product development for korean companies. For this purpose, the characteristic grill of new products is classified by which is market/technology sphere. Moreover the focus of this analysis is on examination of success/failure factors, which have an important effect upon new product success or failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond. Conclusion of this study based on many significant results gained by the various multi-variate analysis are summarized as follows. First, it can he noted that success/failure factors are different by each classified model and characteristic grill of a new product. Second, it has been identified that the important factors of success products were technical & management support and market ability, the important factor of failure product were lacking in ability of technical development and R&D management system construction. This paper presents some useful guidelines in strategic and managerial aspects for development of new products. Concurrently, the model of this study should be a great practical approach for application of actual affairs.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.498-503
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• 2011

With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.55-65
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• 2013

The purpose of this study was to investigate correlations between entrepreneurial intention and entrepreneurship and entrepreneurial success. For that purpose, the study carried out a survey among the students of Graduate School of Business & Entrepreneurship, the students of small business start-up education, and general people and reviewed the previous studies and literature with a focus on the characteristics and capabilities of entrepreneurial intention. The investigator identified the characteristic factors of entrepreneurial intention including entrepreneurial intention, entrepreneurship, entrepreneurial success, education, and mentor, set a research model and hypothesis for their relations with entrepreneurial success, and empirically analyzed and tested them. The empirical analysis results were summarized as follows: first, entrepreneurial methods and abilities of the variables of entrepreneurial intention turned out to have significant impacts on entrepreneurial success. Second, corporation determination, external factor, and internal factor of the variables of entrepreneurship turned out to have significant effects on entrepreneurial success. Third, re-education after success turned out to be the most influential entrepreneurial education factor on entrepreneurial success, which points to a need for constant education after setting up a business. Fourth, practical entrepreneurial mentors had the greatest influences on entrepreneurial success, being followed by successful entrepreneurial mentors and socially successful mentors in the order. One can have a vision to see a further future of his or her business and promote its growth by forming relationships with those who have more knowledge about the line of business and richer experiences in the field. The subjects overwhelmingly had a positive personality, which suggests that those who try to start a business tend to be positive and considerate of others.

• Management & Information Systems Review
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• v.30 no.4
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• pp.229-251
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• 2011

This paper will discuss the significance of cooperation between supply chain companies and its components. In addition, it will analyze how this effects the outcome in distribution focusing on companies in the steel pipe industry. In sum, theory 1 was chosen since as a result of hierarchical regression analysis communication, IT, partnership, and success monitoring, which are all components of the supply chain cooperation, are proven to affect the absolute distribution success positively. According to the standardized beta coefficient the most important factor for distribution success is communication, followed by IT, partnership and lastly success monitoring. Moreover, according to theory 2, communication, IT, partnership and success monitoring all affect relative distribution success positively. Most important factors are communication, IT, partnership, success monitoring. Thus, since the most crucial factor in deciding both the absolute and relative distribution success is communication, steel pipe companies are advised to execute strategic use.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.217-228
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• 2004

In this thesis, we suggest questionnaire which is designed to understand of what employees include executive think about 6 sigma management movement and to find important factor for strategic of success 6 sigma management movement of K. Corporation. This thesis is composed of 2 parts, one is questionnaire design and the other is questionnaire analysis. We find important factor for strategic of success 6 sigma management movement of K. Corporation by using correlation and regression analysis, which results very useful and great help for K's Co. In questionnaire analysis, we use by minitab package version 13.2.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.484-489
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• 2004

The purpose of this study is to examine the success factor of Quality Management (QM) in the manufacturing conditions aspect of medium and small-sized sanitary enterprise. The requisite for manufacturing factors are classified into manufacturing human factors (the number of production employee, training and teaching, discuss on quality, manufacture expertness, etc.), manufacturing facility factors (coating, hardening, and molding equipment), manufacturing core component factors (temperature and viscosity, line, surface). And the indicator of quality outcomes are measured by reorder and recommendation to others.

• East Asian Journal of Business Economics (EAJBE)
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• v.8 no.2
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• pp.29-41
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• 2020

Purpose - This study incorporated the success factors of bio cluster and provided the ways to utilize them for managing the performance of bio cluster. The aim of this study was to present an integrated framework for the success factors of the bio cluster by combining the literature and case studies, and to measure and manage the performance of the bio cluster. Research design, data, and methodology - This study combined the literature review with the case study. We reviewed the literature on the success factors of the bio cluster presented by existing studies. We studied some cases of how these factors are actually applied in the bio cluster also. We integrated the success factors of bio cluster based on both the literature review and the case study. Results - The success factors of the bio cluster presented in this study as an integrated framework were defined as six factors: knowledge base and expertise, industrial infrastructure, funding and investment, government support, start-up activities and innovation activities. These success factors can be measured and managed by some performance indicators of each factor. Conclusions - Through this study, we can identify the integrated success factors of the bio cluster and understand how these factors work in bio cluster. In addition, this integrated framework of success factors will be effectively utilized to measure and manage the performance of the bio cluster.

• Proceedings of the Korea Association of Information Systems Conference
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• 2004.11a
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• pp.431-443
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• 2004

Many e-Learning companies are incorporated for the last five years, but most of them are failed or merged by the other company. The main reasons are the absence of competitive strategies and recognition of critical success factors. There are many researches on the critical success factors of Information System (IS) and Electronic Commerce (EC) . We derived e-Learning success factors from the previous IS and EC researches. We classified the success factors into five dimensions, (1) contents management, (2) learner management, (3) business strategy, (4) organizational support and ability, (5) learning management system (LMS), and each dimension has 9 or more success factors measurement items. We surveyed the perceived importance of the success factors from the manager of South Korea e-Learning firms. The paper categorized the items into two or more factors for each dimension by the exploratory factor analysis. Finally, we conducted one-way ANOVA for each success factors by the business model. As a result, there is different importance level for each success factors by the business model. We concluded that each e-Learning company needs different strategies to their business 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.