• 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.

• Venture DIGEST
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• s.136
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• pp.40-41
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• 2009

편안한 마음으로 비즈니스 회의를 시작하는 사람은 드물 것이다. 시작하기 전에는 아무도 그 상황을 알 수 없기 때문이다. 하지만 회의의 진행 상황을 처음부터 마지막까지 알 수 있고, 그 결과를 예측할 수 있다면 훨씬 더 편안한 마음으로 회의에 임할 수 있지 않을까. 단순히 회의에 임하는 것이 아니라 비즈니스 회의에 대한 세밀한 전략을 세워보자. 상대방에게 자신이 이끌리는 것이 아니라 이끌 수 있기 때문에 훨씬 편안하고 성공적인 비즈니스 회의가 될 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.311-313
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• 2000

본 논문에서는 시간이 흐름에 따라 관측되는 시계열 데이터에 대한 예측을 위한 순차적 베이지안 진화 연산기법을 제안한다. 이 방법에서는 이전 세대의 모델을 바탕으로 예측을 수행하고 새로운 데이터가 주어지면 현재의 예측 모델을 평가하여 더 좋은 모델을 생성하도록 한다. 제안된 방법을 시계열 데이터에 적용한 결과 기조의 방법보다 데이터에 적합한 모델을 학습하고 성공적인 예측을 수행함을 확인하였다.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.243-248
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• 2018

The social activities of the elderly are important in successfully achieving aging by providing opportunities for social interaction to enhance life satisfaction. The purpose of this study is to identify the related factors of the elderly social activities and build a statistical classification model to predict social activities. Subjects were 1,864 elderly people (829 males, 1,035 females) who completed the community health survey in 2015. Outcome variables were defined as the experience of social activity during the past month(yes, no). The prediction model was constructed using decision tree model based on Classification and Regression Trees (CRT) algorithm. The results of this study were subjective health, frequency of meeting with neighbors, frequency of meeting with relatives, and living with spouse were significant variables of social participation. The most prevalent predictor was the subjective health level. In order to prepare for the successful aging of the super aged society based on the results of this study, social attention and support for the social activities of the elderly are required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1376-1379
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• 2009

Recently many Hotels have implemented and operated the Hotel Information System(HIS). These HIS-implementation evoke the significant changes in hotel management. So many interest and researches in HIS has received the spotlight from the hotel managements. Many researcher about HIS focused on the Critical Success Factors (CSF) from the viewpoint of HIS implementation. At this moment we need also the research about significance change of CSF with the laps of time. This kind of research are very critical for the successful operation of HIS. To achieve the objectives of this paper, the Innovation-Theory of E. M. Roger was implemented. As the result of this research we can get the various maturity point of each CSF with the laps of time. For the data gathering many major hotel in Korea were interviewed, and 84 valid questionaires were used for data analysis. The Cronbach's ${\alpha}$ was 0.7239, which means all data were significant.

• 한국노년학
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• v.38 no.1
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• pp.27-45
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• 2018

The purpose of this study was to identify between the successful aging-related predictive factors and the successful aging in the middle aged office. The predictive factors of successful aging such as subjective health condition, cognitive functions, self-esteem, and social support were confirmed by the existing literature. The population of the study was the middle aged office employees, who are generally defined an age group from 40 to 60. The sample of this study was targeted to employees working at companies registered to securities, KSDAQ, and KONEX in Korea. SPSS WIN 23.0 and AMOS 21.0, and M-plus 6.12 were used for the data analysis. The findings of this study were presented below. First, the result of the structural relationship between the predictive factors of successful aging (subjective health condition, cognitive function, self-esteem, and social support) and successful aging was appropriate as RMSEA=.059, TLI=.932, CFI=.944. Second, subjective health condition and social support were significant variables for successful aging but cognitive function and self-esteem were not significant. Third, social support, which is a social factor, was the most influential among other variables. Based on the results, theoretical and practical implications were presented.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.49-51
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• 2003

성공적인 소프트웨어 개발을 위해서는 프로젝트 계획 수립단계에서 정확한 예측 모델을 연구하는 것이 중요하다. 소프트웨어 개발의 중요성이 대두됨에 따라 현재에는 많은 기존의 프로젝트 데이터를 보관하게 되었다. 기존의 예측모델에서는 개발환경에 따라 서로 다른 형태의 모델을 만들어 개발비용을 예측하였다. 모델의 형태에 따른 신뢰도 또한 주요 이슈로 작용하였다. 이 논문에서는 이러한 많은 프로젝트 데이터와 현재 개발하고자 하는 프로젝트에 대하여 과거의 데이터 중 가장 유사한 최적의 프로젝트를 찾아내기 위해 FP(Function Point)를 이용하는 많은 프로젝트 데이터에 유전자 알고리즘을 적용하여 최적의 유사 모델을 찾아내는 방법에 대하여 제안하고자 한다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.03a
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• pp.113-117
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• 1998

부품이나 조립품 또는 완제품의 개발단계에서의 신뢰성 수준을 정확하게 예측하느느 것은 쉬운 일이 아니며 이는 엔지니어들 사이에서 자주 논란이 되어온 문제이다. 본 연구의 목적은 제품개발의 초기단계에서 신뢰성을 예측할 수 있는 올바른 방법과 그것이 어떻게 사용되어지는지에 대하여 예시함으로서 엔지니어들의 신뢰성공학에 대한 이해도를 높이는데 있다. 본 논문에서 소개된 기술들은 실무자들에게 신뢰성예측 이론의 기초적인 원리를 이해하는데 유효한 자료가 될 것이다.

• Construction Engineering and Management
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• v.25 no.2
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• pp.10-13
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• 2024

• Korea Science and Art Forum
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• v.25
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• pp.71-80
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• 2016

The meaning of innovative products pursued by pluralized societies is transforming. In the past, the markets were opened up after the products were released through various development strategies based on the needs of development. Recently, however, even the launching process of innovative products is differently operated and strategies with directions completely different from the past are used. In this regard, the paper aims to predict successful markets of innovative products in the future by analyzing the successful strategic cases of innovative products from both the past and the present. The following are the methodology and results of this study. - Conduct a case study and an analysis on which strategies were implemented after the release of successful innovative products in the past. - Conduct a case study and an analysis on the markets and launching trends of innovative products that were successful fairly recently. By reviewing the operation system of innovative products for each time period, it is assumed that startup companies releasing innovative products in the future will engage in the mass production of products through a pre-approval and post-production system, via overseas crowd funding. Moreover, we can expect that systems for partnerships between startups and conglomerates will be prepared in Korea within the near future. If we accurately perceive the operation trends related to the release of innovative products that come into existence by experiencing extreme changes, shortcuts to success will be available for startup companies preparing for such future.