• Asia pacific journal of information systems
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• 제15권1호
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• pp.81-113
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• 2005

IT has affected the hospital management via information systems and multimedia systems such as hospital information systems(HIS) and Order Communication System(OCS). A large number of researches have been done on the topic of success factors of information systems implementation, but a few on the topics of hospital information systems. Thus in this study, the success factors of the military hospital information systems implementation was analysed. To this end, a number of previous researches were reviewed and about 71 items of success factors were deduced. For doing empirical analysis, a questionnaire with 71 items was prepared and sent to proper organizations. The statistical analysis such as factor analysis was applied to about 400 of them returned. The six success factors and 20 sub success factors were resulted from factor analysis. The six success factors include systems management factor, technology and organization factor, the efficiency of IT department factor, technology application factor, outsourcing factor and environment factors. This study finds the outsourcing and environment factors are very important factors as much as other success factors which previously were mentioned.

• 한국컴퓨터정보학회논문지
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• 제5권4호
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• pp.211-217
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• 2000

우리나라 정보관련 학과의 교육과정 결정요인은 인력수요자요인, 학과구성원 인식요인, 모방요인, 교육수요자요인이며, 교육과목 구성영역에 있어서는 전산분야, 정보시스템분야, 인터넷분야가 교육과정에 포함되어야 할 요인으로 생각된다. 또한, 교육과정 결정요인과 교육과목 구성영역과의 관계는 상호 밀접한 관련이 있고 교육과정 결정에는 인력수요자와 학과구성원의 인식이 중요하며, 교육과정 과목 구성에는 정보시스템 분야와 전산분야의 과목 중심으로 편성되어야한다.

• Journal of the Korean Data and Information Science Society
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• 제21권1호
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• pp.163-172
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• 2010

In this paper, we deal with the problem for testing homogeneity of coecients of variation in several normal distributions. We propose Bayesian hypothesis testing procedures based on the Bayes factor under noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be dened up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real data example are provided.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.1119-1128
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• 2005

The Bayes factors with improper noninformative priors are defined only up to arbitrary constants. So it is known that Bayes factors are not well defined due to this arbitrariness in Bayesian hypothesis testing and model selections. The intrinsic Bayes factor and the fractional Bayes factor have been used to overcome this problem. In this paper, we suggest a Bayesian hypothesis testing based on the intrinsic Bayes factor and the fractional Bayes factor for the comparison of two lognormal variances. Using the proposed two Bayes factors, we demonstrate our results with some examples.

• 한국산학기술학회논문지
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• 제10권9호
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• pp.2290-2299
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• 2009

본 연구에서는 선행 연구를 통해 제시된 공급사슬관리 시스템의 다양한 도입 요인에 대해서 그 중요도를 분석하기 위하여 AHP 기법을 이용하여 연구하였다. 지금까지 연구된 공급사슬관리 시스템의 도입 요인에 대해서 국내외 문헌을 통하여 SCM의 도입 요인을 조직 특성, 거래 특성, 관계 특성, 정보 특성 등 4개의 특성으로 범주화하였으며, 각 특성에 대한 세부 도입 요인으로 조직 특성 요인은 도입 전략, CEO 지원, 정보 기술 성숙도, 평가측정시스템 개발, 혁신 선도자 등 5개 요인, 거래 특성 요인은 거래 기간, 납기/품질, 목표 공유 등 3개 요인, 관계 특성 요인은 신뢰, 협력, 갈등, 상호 의존성, 몰입 등 5개 요인, 정보 특성 요인은 정보의 질, 정보 공유, 정보 교환 등 3개 요인을 설정해서 총 16개의 세부 도입 요인으로 분석하였다. AHP 기법을 이용하여 SCM 도입 요인의 중요도를 분석한 결과 SCM 도입 요인에 관한 1차 계층 요인 중에서는 조직 특성(0.387)의 중요도가 가장 높게 분석되었으며, 관계 특성(0.291), 정보 특성(0.167), 거래 특성(0.155) 순으로 분석되었다. 1차 계층 요인의 중요도와 2차 계층 요인의 중요도를 동시에 고려해서 분석한 결과에서는 가장 중요한 도입 요인이 CEO 지원(.169)이었고, 그 다음으로 신뢰(.124), 도입 전략(.089), 목표 공유(.081), 정보 교환(.069), 협력(.064), 정보 공유(.057) 요인 순으로 분석되었다.

• 웰빙융합연구
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• 제6권1호
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• pp.23-31
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• 2023

Purpose: The purpose of this study is a preliminary study to develop a comprehensive information avoidance scale that includes various search contexts. Research design, data and methodology: This study is a part of exploratory sequential design of mixed method for the development of information avoidance scale. Based on the themes derived from the analysis of the in-depth interview data collected in the qualitative research of the first stage of the study, 45 preliminary items on information search and avoidance were constructed. The factors related to information searching included information recognition, information seeking purpose, and information search expectations. Individual, information, time, and system factors were related to information avoidance. Pearson's correlation analysis was performed for the correlation between factor items, and Cronbach's alpha analysis was performed for the reliability analysis of the items. Exploratory factor analysis was applied to examine the construct validity of 35 items of information avoidance. Results: Among the information avoidance items, one of the less relevant among information purpose items, two information factor items, and one time factor item were excluded. Conclusions: A secondary survey should be conducted to confirm the validity and reliability of the scale composed of adjusted items (35) based on the results of exploratory factor analysis. The strength of this preliminary scale is that it was developed based on vivid qualitative data of ordinary people who had experiences of search and avoidance in various search contexts.

• Journal of the Korean Data and Information Science Society
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• 제18권4호
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• pp.1123-1134
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• 2007

This article addresses the problem of testing whether the shape parameters in k independent Weibull populations are equal. We propose a Bayesian model selection procedure for equality of the shape parameters. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian model selection procedure based on the fractional Bayes factor and the intrinsic Bayes factor under the reference prior. Simulation study and a real example are provided.

• Journal of the Korean Data and Information Science Society
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• 제19권4호
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• pp.1379-1390
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• 2008

This article deals with the problem of testing the difference of quantiles in exponential distributions. We propose Bayesian hypothesis testing procedures for the difference of two quantiles under the noninformative prior. The noninformative prior is usually improper which yields a calibration problem that makes the Bayes factor to be defined up to a multiplicative constant. So we propose the objective Bayesian hypothesis testing procedures based on the fractional Bayes factor and the intrinsic Bayes factor under the matching prior. Simulation study and a real data example are provided.

• 디지털융복합연구
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• 제16권6호
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• pp.63-73
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• 2018

본 연구는 중소 제조 및 서비스업체를 대상으로 하여 KMS의 경영성과에 미치는 영향요인을 지식정보요인과 관리 요인으로 설정하여 이들 요인들이 경영성과에 미치는 영향을 분석하였고, 평가와 보상을 조절변수로 설정하여 평가와 보상이 지식정보요인 및 관리요인과 경영성과 간에 미치는 조절적 효과를 분석하였다. 분석결과, 지식 적합성, 지식정보의 신뢰성, 지식관리프로세스 지원으로 설정된 지식정보 요인은 경영성과에 정의 영향을 미치는 것으로 분석되었고, 관리요인 중에서는 학습의 조직화와 협력 요인은 경영성과에 정의 영향을 미치는 것으로 분석되었다. 평가와 보상이 지식정보요인 및 관리요인과 경영성과 간에 조절적인 역할을 하고 있는지를 검증한 결과에서는 지식정보요인의 지식 적합성, 지식정보의 신뢰성, 지식관리프로세스지원, 관리요인의 지식공유활동, 협력은 경영성과에 조절적인 역할을 하고 있는 것으로 분석되었다.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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• pp.110-115
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• 2004

Examine merits and demerits and obstacle factor that exist to all direction of digital infratechnology that is supplied on industry whole according to development special quality of computer by development of computer and Information Technology and electricity electron information communication facility that basic impulse insulation level does not exist examined scorched earth or an interference problem factor and countermeasure of semiconductor degauss of factor and electricity electron information transmission system that is numbed or causes system down.