• 대한교통학회지
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• 제24권3호
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• pp.73-83
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• 2006

본 연구에서는 서울외곽순환고속도로의 사패산 사업을 대상으로 행정측의 불신감, 도로사업의 이해도, 주민참여의 만족도, 그리고 새로운 주민참여제도에 대한 이해도와 참가의도 등의 의식에 초점을 두고 있다. 이러한 의식의 변수와 사패산 도로사업의 수용의식에 관한 주민의식 평가 인과구조 가설을 설정하고 공분산구조방정식을 이용하는 주민의식 평가 방법론과 그 적용에 대해 검토하고 있다. 그 결과 사패산 도로사업의 수용의식 평가에 있어 행정 불신감이 강한 장해요인이며, 도로사업의 이해도와 새로운 주민참여제도의 이해도는 긍정적인 영향을 미치는 촉진요인으로 작용하고 있다 것을 확인하였다.

• 지식경영연구
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• 제16권2호
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• pp.173-192
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• 2015

Domestic paid broadcasting market is largely classified into cable TV, satellite broadcasting and IPTV. Latest starter IPTV began its commercial service in 2009 and reached 10 million subscribers in August 2014 after 6 years of service. It has been growing rapidly by increasing more than 500 thousand subscribers every quarter and has taken its place firmly as one of core domestic paid broadcasting platforms, second only to cable TV. Even with this quantitative growth, 3 major IPTV companies are still running deficit, attracting attention to issue of the vitalization of IPTV business based on qualitative growth. This study draws out revitalizing and hindering factors of Korean IPTV industry through a case study on 'A' corporation which is leading domestic IPTV market and exploratory study based on interviews with experts and, by developing influencing factors into Causal Loop Diagram through system dynamics research methodology, draws out core issues in vitalization of domestic IPTV industry and suggests alternatives. Therefore, it is expected that this study will provide more diverse practical implications than preceding studies which drew out one-dimensional issues and alternatives and help vitalize Korean IPTV industry by minimizing negative effects and maximizing positive ones.

• 지식경영연구
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• 제11권5호
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• pp.59-78
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• 2010

In this paper, we arrange the concept of 'Green' in SCM after literature study of Green SCM and investigate causal relationships between influencing factors, practice level and environmental performance focused on Korean firms empirically and conduct path analysis for hypothesis test using partial least squares regression with bootstrap. Firstly, we divide influencing factors of Green SCM into environmental and organizational factors through the previous studies of innovation diffusion theory and environmental management theory, and then we selected 'uncertainty', 'competitiveness' as the environmental factors and 'top management support', 'perceived benefit', 'training' as the organizational factors. Secondly, we classify practice level of Green SCM into 'internal environmental management', 'green purchasing', 'eco-design'. Finally, we selected 'financial performance', 'environmental performance' as the organizational performance. We conducted a survey on the middle manager of manufacturing companies implementing SCM and an empirical analysis. The results of analysis show that there exist causal relationships between influencing factors, practice level, and environmental performance of Green SCM. We expect that the result of this study will suggest useful information to managers who are responsible for SCM to design and execute Green SCM in strategic perspectives.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제39권5호
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• pp.203-206
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• 2013

Statistics is the science of data. As the foundation of scientific knowledge, data refers to evidentiary facts from the nature of reality by human action, observation, or experiment. Clinicians should be aware of the conditions of good data to support the validity of clinical modalities in reading scientific articles, one of the resources to revise or update their clinical knowledge and skills. The cause-effect link between clinical modality and outcome is ascertained as pattern statistic. The uniformity of nature guarantees the recurrence of data as the basic scientific evidence. Variation statistics are examined for patterns of recurrence. This provides information on the probability of recurrence of the cause-effect phenomenon. Multiple causal factors of natural phenomenon need a counterproof of absence in terms of the control group. A pattern of relation between a causal factor and an effect becomes recognizable, and thus, should be estimated as relation statistic. The type and meaning of each relation statistic should be well-understood. A study regarding a sample from the population of wide variations require clinicians to be aware of error statistics due to random chance. Incomplete human sense, coarse measurement instrument, and preconceived idea as a hypothesis that tends to bias the research, which gives rise to the necessity of keen critical independent mind with regard to the reported data.

• 보건행정학회지
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• 제21권2호
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• pp.263-278
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• 2011

As the competition among hospitals become intensified, hospital management is required to carry out more effective marketing and positioning of the hospital. Successful positioning of a hospital requires the knowledge about how the concrete attributes inherent in the medical service associated with the customer values that customers seek eventually in the medical service. Thus, it is required for hospital management to understand which hospital attributes should be emphasized in order to improve the customer values. The hierarchical structure of service attributes can provide valuable information about effective positioning and advertising. To obtain such knowledge, we employed the order analysis technique as an objective means-end chain method. Order analysis is useful for identifying the causal structure among attributes. Thus, we can examine the underlying causal relationship and eventually the vertical structure of hospital selection attributes. For this study, we conducted a survey to obtain 370 responses for the analysis. The result suggests that hospital management had better increase the scale of hospital, improve the services of health care providers, and modernize the hospital facilities and equipments so as to enhance customer values and eventually to lead them to recommend the hospital to others. Our findings would provide the valuable information for hospital management to develop the more effective hospital positioning and marketing strategies.

• 지능정보연구
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• 제1권1호
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• pp.1-22
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• 1995

본 연구에서 퍼지인식도(Fuzzy Cognitive Map) 개념을 기초로 하여 (1) 특정 문제영역에 대한 전문가의 인과관계 지식(causal knowledge)을 추출하는 알고리즘을 제시하고, (2) 이 알고리즘에 기초하여 작성된 해당 문제영역에 대한 여러 전문가들의 인과관계 지식을 계층별로 분해하여, (3) 해당 계층간의 양방향 추론이 가능한 추론메카니즘을 제시하고자 한다. 특정 문제영역에 있어서의 인과관계 지식이란 해당 문제를 구성하는 여러 개념간에 존재하는 인과관계를 표현한 지식을 의미한다. 이러한 인과관계 지식은 기존의 IF-THEN 형태의 규칙과는 달리 행렬형태로 표현되기 때문에 수학적인 연산이 가능하다. 특정 문제영역에 대한 전문가의 인과관계 지식을 추출하는 알고리즘은 집합연산에 의거하여 개발되었으며, 특히 상반된 의견을 보이는 전문가들의 의견을 통합하여 하나의 통합된 인과관계 지식베이스를 구축하는데 유용하다. 그러나, 주어진 문제가 복잡하여 다양한 개념들이 수반되면, 자연히 인과관계 지식베이스의 규모도 커지게 되므로 이를 다루는데 비효율성이 개재되기 마련이다. 따라서 이러한 비효율성을 해소하기 위하여 주어진 문제를 여러계측(Hierarchy)으로 분해하여, 해당 계층별로 인과관계 지식베이스를 구축하고 각 계층별 인과관계 지식베이스를 연결하여 추론하는 메카니즘을 개발하면 효과적인 추론이 가능하다. 이러한 계층별 분해는 행렬의 분해와 같은 개념으로도 이해될 수 있다는 특징이 있어 그 연산이 간단명료하다는 장점이 있다. 이와같이 분해된 인과관계 지식베이스는 계층간의 추론메카니즘을 통하여 서로 연결된다. 이를 위하여 본 연구에서는 상향 또는 하향방식이 추론이 가능한 양방향 추론방식을 제시하여 주식시장에서의 투자분석 문제에 적용하여 그 효율성을 검증하였다.

• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.149-179
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• 2010

This study empirically investigated the effects of both organizational culture(i.e., innovative, supportive and bureaucratic) and information technology(IT) infrastructure(i.e., knowledge storage, transfer and search IT) on the knowledge management(KM) activities(i.e., knowledge creation, sharing and application) in Korean manufacturing firms. We also partially demonstrated the impact of KM activities on the KM performance(i.e., KM satisfaction) of a firm. Through multiple regression analyses, it was found that innovative and supportive culture, and IT infrastructure have a positive impact on the activation of KM activities. The results of this study also showed that the innovative and supportive culture positively influence the adoption of IT infrastructure, and through the construction of IT, they have an indirect effect on KM activities. With a structural equation modeling technique, the causal relationships among organizational culture, IT infrastructure, knowledge management activities, and KM performance were confirmed. Hence, it is concluded that culture and IT infrastructure have direct effects on KM activities, and culture also indirectly influences KM activities through the adoption of IT infrastructure.

• 가정과삶의질연구
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• 제5권2호
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• pp.29-44
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• 1987

The objectives of this study were; (1)to determine if socio-demographic variables influence energy conservation attitude, energy conservation knowledge, energy conservation behavior of consumer, (2) to determine if energy conservation attitude and energy conservation knowledge influence energy conservation behavior of consumer, (3) to examine the causal relationships among variables which influence energy conservation behavior of consumer. The model for this study included following variables; (1) socio-demographic variables, which are the independent variables; (2) energy conservation behavior of consumer, which is a dependent variable; (3) energy conservation attitude of consumer, which is an intervening variable ;(4) energy conservation knowledge of consumer, which is an intervening variable. The data used in this study included 502 homemakers living in Seoul. Statistics used for data analysis were ANOVA, Pearson's Correlation and Path Analysis. The major findings were follows; (1) Energy conservation attitude and energy conservation behavior difference significantly according to the level of family income among socio-demographic variables such a age, educational level and family income. Energy conservation knowledge differenced significantly educational level, and family income. Energy conservation knowledge difference significantly educational level. (2) Energy conservation behavior differed significantly according to energy conservation attitude and energy conservation knowledge. (3) Energy conservation attitude and energy conservation knowledge had positive effects on energy conservation behavior directly and indirectly. (4) Family income had negative effects on energy conservation behavior directly and indirectly through energy conservation attitude. Education had positive effect on energy conservation behavior indirectly through energy conservation knowledge.

• 대한기계학회논문집
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• 제15권6호
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• pp.1933-1947
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• 1991

본 연구에서는 특징형상기반 CAD 시스템의 기계가공을 고려한 기하학적 모델 링 기능과 부형상의 합성과 해석을 위한 사출성형에 관한 광범위한 지식을 연계, 종합 한 형태의 지식형 CAD 시스템을 제안하였다.

• 간호행정학회지
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• 제6권1호
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• pp.109-122
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• 2000

The present study examined the causal relationships among nurses' perceived autonomy, job satisfaction, work environment (work overload, role conflict, situational support, head nurses' leadership), personal aspects(experiences, need for achievement, professional knowledge and skill) by constructing and testing a theoretical framework. Based on literature review nurses' perceived autonomy and job satisfaction were conceived of as outcomes of the interplay among work environment and personal characteristics. Work environment factors involved work overload, role conflict, situational support, and head nurses' leadership (task oriented leadership, relation oriented leadership). Personal charateristics included experiences, need for achievement, and professional knowledge and skill. Three large general hospital in Chonbuk were selected to participate. The total sample of 516 registered nurses represents a response rate of 92 percent. Data for this study was collected from July to September in 1998 by Questionnaire. Path analyses with LISREL 7.16 program were used to test the fit of the proposed conceptual model to the data and to examine the causal relationship among variables. The result showed that both the proposed model and the modified model fit the data excellently. It needs to be notified, however, that path analisis can not count measurement errors; measurement error can attenuate estimates of coefficient and explanatory power. Nevertheless the model revealed relatively high explanatory power. 42 percent of nurses' perceived autonomy was explained by predicted variables; 32 percent of nurses' job satisfaction was explained by by predicted variables. Tn predicting nurses' perceived autonomy the findings of this study clearly demonstrated the work overload might be the most important variable of all the antecedent variables. Head nurses' relation oriented leadership, situational supports, need for achievement, and role conflict were also found to be important determinants for nurses' perceived autonomy. As for the job satisfaction, role conflict, situational supports, need for the achievement, and head nurses' relation oriented leadership were in turn important predictors. Unexpectedly the result showed perceived autonomy have few influence on job satisfaction. The results were discussed, including directions for the future research and practical implication drawn from the research were suggested.