• 보건교육건강증진학회지
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• 제30권1호
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• pp.27-39
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• 2013

Objectives: The purpose of the study was to test a model of physical activity of elderly living in Korea, determine significant factors contributing the physical activity, and examine significant paths in the model. Methods: A cross-sectional study was conducted using a convenience sample of 207 elderly men and women, aged 60 and older, residing in Busan Metropolitan City. Data were collected from July to August 2009 and analyzed using Predictive Analytics Software (PASW) and Analysis of a Moment Structures (AMOS). Results: The fitness of the modified model was confirmed to be appropriate (${\chi}^2$ = 55.61, ${\chi}^2$/df = 1.32, p = .078, RMSEA = .04, GFI = .96, AGFI = .91, NFI = .90, NNFI = .94, CFI = .97, PNFI = .48). The elder's age, previous exercise behavior, and self-efficacy were significant in explaining the variance in their physical activity. We found that (a) perceived health status, perceived benefits, perceived barriers, and social support directly affected self-efficacy; (b) previous exercise behavior and perceived health status directly affected perceived benefits; (c) previous exercise behavior directly affected perceived barriers; and (d) and education level, extent of pocket money, and economic level directly affected social support. Conclusions: The younger the age, the more previous exercise experience, and the higher the self-efficacy, the more S. Korean elders demonstrated improved physical activity.

• 농촌계획
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• 제26권3호
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• pp.115-126
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• 2020

This study designed an extended technology acceptance model incorporating and combining TPB, TAM, UTAUT, and IDT, which are known to be useful in explaining technology acceptance intention, to analyze antecedents affecting smart farm acceptance intention from the perspective of policy handlers. In the model of this study, nine independent variables were set, including subjective norm, perceived behavioral control, attitude, perceived usefulness, performance expectation, effort expectation, social impact, promotion condition, and fitness. The effect of these variables on farm acceptance intention was analyzed. The study found that four factors, including perceived behavioral control, perceived usefulness, social impact, and fitness, had positive effects on the acceptance intention of smart farms. Of these, perceived usefulness had the highest impact. In conclusion, all the TPB, TAM, UTAUT, and IDT applied to the research hypothesis to explain the smart farm acceptance intention included on or more variables with significant effects. In other words, these theories were evaluated as useful to explain the acceptance intention of smart farms.

• 한국융합학회논문지
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• 제10권11호
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• pp.533-541
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• 2019

본 연구는 간호대학생의 자기조절학습에 영향을 주는 요인들의 구조 방정식 모형을 만들고 검증하기 위함이다. 이를 위해 재학 중인 간호대학생들에게 자가보고식 설문지를 작성하게 하여 273부의 자료를 구조방정식 모형으로 분석하였다. 분석결과 모형 적합지수는 적절한 수준을 나타내었고, 6개 경로 중 5개 경로는 통계적으로 유의미하여 분산의 68%를 설명하였다. 따라서 간호대학생의 자기조절학습을 증진시킬 수 있도록 자기결정동기, 대인관계유능, 성취목표지향을 향상시키는 교육이 필요하며, 이를 위해 간호대학생의 자율성과 관계성을 증진시킬 역량 강화 프로그램이 개발되어야 할 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제8권11호
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• pp.1-10
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• 2021

This paper compares the performance of Fama-French three-factor and five-factor models using a dataset of 20 Pakistani commercial banks for the period 2011 to 2020. We focus on an emerging economy as the findings from earlier studies on developed countries cannot be generalized in emerging markets. For empirical analysis, twelve portfolios were developed based on size, market capitalization, investment strategy, and growth. Subsequently, we constructed five Fama-French factors namely, R_M, SMB, HML, RMW, and CMA. The OLS regression technique with robust standard errors was applied to compare the predictive power of both the Fama-French models. Further, we also compared the mean-variance efficiency of the Fama-French models through the GRS test. Our empirical analysis provides three unique and interesting findings. First, both asset pricing models have similar predictive power to explain the expected portfolio returns in most cases. Second, our results from the GRS test suggest that there is no noticeable difference in the mean-variance efficiency of one asset pricing model over the other. Third, we find that all factors of both Fama-French models are statistically significant and are important for explaining the volatility of expected commercial bank returns in the context of Pakistan.

• Asia pacific journal of information systems
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• 제18권2호
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• pp.1-14
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• 2008

According to technology acceptance model(TAN) which is one of the most important research models for explaining IT users' behavior, on intention of using IT is determined by usefulness and ease of use of it. However, TAM wouldn't explain the performance of using IT while it has been considered as a very good model for prediction of the intention. Many people would not be confirmed in the performance of using IT until they can control it at their will, although they think it useful and easy to use. In other words, in addition to usefulness and ease of use as in TAM, controllability is also should be a factor to determine acceptance of IT. Especially, there is a very close relationship between controllability and ease of use, both of which explain the other sides of control over the performance of using IT, so called perceived behavioral control(PBC) in social psychology. The objective of this study is to identify the relationship between ease of use and controllability, and analyse the effects of both two beliefs over performance and intention in using IT. For this purpose, we review the issues related with PBC in information systems studies as well as social psychology, Based on a review of PBC, we suggest a research model which includes the relationship between control and performance in using IT, and prove its validity empirically. Since it was introduced as qa variable for explaining volitional control for actions in theory of planned behavior(TPB), there have been confusion about concept of PBC in spite of its important role in predicting so many kinds of actions. Some studies define PBC as self-efficacy that means actor's perception of difficulty or ease of actions, while others as controllability. However, this confusion dose not imply conceptual contradiction but a double-faced feature of PBC since the performance of actions is related with both self-efficacy and controllability. In other words, these two concepts are discriminated and correlated with each other. Therefore, PBC should be considered as a composite concept consisting of self-efficacy and controllability, Use of IT has been also one of important areas for predictions by PBC. Most of them have been studied by analysis of comparison in prediction power between TAM and TPB or modification of TAM by inclusion of PBC as another belief as like usefulness and ease of use. Interestingly, unlike the other applications in social psychology, it is hard to find such confusion in the concept of PBC in the studies for use of IT. In most of studies, controllability is adapted as PBC since the concept of self-efficacy is included in ease of use explicitly. Based on these discussions, we can suggest perceived use control(PUC) which is defined as perception of control over the performance of using IT and composed of controllability and ease of use as sub-concepts. We suggest a research model explaining acceptance of IT which includes the relationships of PUC with attitude and performance of using IT. For empirical test of our research model, two user groups are selected for surveying questionnaires. In the first group, there are freshmen who take a basic course for Microsoft Excel, and the second group consists of senior students who take a course for analysis of management information by Excel. Most of measurements are adapted ones that have been validated in the other studies, while performance is real score of mid-term in each class. In result, four hypotheses related with PUC are supported statistically with very low significance level. Main contribution of this study is suggestion of PUC through theoretical review of PBC. Specifically, a hierarchical model of PUC are derived from very rigorous studies in the relationship between self-efficacy and controllability with a view of PBC in social psychology. The relationship between PUC and performance is another main contribution.

• 공업화학
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• 제24권4호
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• pp.375-381
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• 2013

상업용 니켈 촉매를 사용하여 메탄과 천연가스의 수증기 개질 반응을 각각 수행하였다. 수증기 개질 반응의 변수는 반응 온도와 반응물의 분압이었다. Kinetic data로부터 Power law rate model과 Langmuir-Hinshelwood model의 매개변수를 구하였다. 순수한 메탄을 수증기 개질 반응 실험의 원료로 사용한 경우에는 Langmuir-Hinshelwood model 식은 물론이고 Power law rate model을 사용하여 반응 속도를 적절하게 표현할 수 있었다. 그러나 천연가스 중의 메탄의 수증기개질 반응 속도를 표현하는데 있어서는 Power law rate model보다 Langmuir-Hinshelwood model이 훨씬 더 적합한 것을 확인하였다. 이러한 거동은 천연가스 중에 포함되어있는 메탄, 에탄, 프로판 및 부탄이 동일한 촉매 활성점에 경쟁적으로 흡착하기 때문으로 해석할 수 있었다.

• 대한간호학회지
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• 제28권2호
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• pp.344-357
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• 1998

This study was designed to construct a model that predicts the quality of life of family caregivers with a chronically ill patient. The hypothetical model was developed based on the findings from past studies on quality of life and on the family with a chronically ill patient. Data were collected by self-reported questionnaires from 200 family caregivers in Seoul & Kyung Gi-Do, from May 1 to July 21, 1997. Data were analyzed using descriptive statistics and correlation analysis. The Linear Structural Relationship(LISREL) modeling process was used to find the best fit model which predicts causal relationships among variables. The results are as follows : 1. The overall fit of the hypothetical model to the data was moderate [X$^2$=31.54(df=23, p=.11), GFI=.96, AGFI=.91, RMR=.04]. 2. Paths of the model were modified by considering both its theoretical implication and the statistical significance of the parameter estimates. Compared to the hypothetical model, the revised model has become parsimonious and had a better fit to the data expect chi-square value(GFI=.95, AGFI=.91, RMR=.04). 3. Some of predictive factors, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support and fatigue revealed indirect effects on the quality of life of family caregivers with a chronically ill patient. 4. The factors, burden and role satisfaction revealed significant direct effects on the quality of life of family caregivers with a chronically ill patient. 5. All predictive variables of quality of life of family caregivers with a chronically ill patient, especially economic status, physical ability to perform daily-life activity, period after disease-onset, social support, fatigue, burden and role satisfaction explained 38.0% of the total variance in the model. In conclusion, the derived model in this study is considered appropriate in explaining and predicting quality of life of family caregivers with a chronically ill patient. Therefore it can effectively be used as a reference model for further studies and suggests direction in nursing practice.

• Journal of the Korean Data and Information Science Society
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• 제20권2호
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• pp.273-281
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• 2009

갭모형은 구매전 기대와 구매후 성과 사이의 차이가 고객만족도와 같은 종속변수에 대한 영향을 이해하려는 기대불일치 패러다임에 근거한 것이다. 이러한 패러다임과는 달리 Bhote는 갭모형 대신에 곱모형을 제안하였다. 곱모형은 구매전 중요도와 구매후 성과를 곱하여 구하는 고객만족도지수에 근거한 것이다. 본 연구는 Bhote의 곱모형을 외식업에 적용한 것이다. 본 연구의 목적은 곱모형에 의한 외식업의 서비스품질의 5차원이 고객만족도, 재방문의도, 및 고객애호도를 설명하는 모형의 독립변수로 적합한지의 여부를 검정하는 것이다. 모형검정을 위해 회귀분석의 F-값이 활용되었다. 분석결과 곱모형은 적합한 것으로 나타났다.

• 디지털콘텐츠학회 논문지
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• 제19권2호
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• pp.415-423
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• 2018

최근, 컴퓨터 분야의 기계 학습(Machine Learning)과 딥러닝(Deep Learning) 등 컴퓨터 관련 학습이 각광을 받고 있다. 이들은 인공 신경망(Artificial Neural Network)을 이용하여 가장 하위 레벨로부터 학습을 시작하여, 최상위 레벨까지 그 결과를 전달하여 최종 결과를 산출하는 방식이다. 하위레벨로부터의 체계적인 학습을 통한 효과적인 성장 및 교육 방안에 대한 연구는 다양한 분야에서 이루어지고 있으나, 체계적인 규칙과 방법에 기반한 모델은 찾아보기가 힘들다. 이에, 본 논문에서는 성장 및 융합 모델인, TNT 모델(Transitive Nested Triangle Model)을 처음으로 제안한다. 제안하는 모델은 기하학적인 형태를 통해 형성된 각 기능들이 유기적 계층 관계를 형성하여, 상위로 성장 및 융합하면서, 그 결과가 반복 사용되는 순환적 재귀 모델이다. 즉, '수평적 형제 병합에 이은 상위로의 융합(Horizontal Sibling Merges and Upward Convergence)'의 분석적 방법이다. 이러한 모델은 공학, 디지털공학, 인문학, 예술학 등에 모두 적용될 수 있는 기본기적 이론으로, 본 연구에서는 제안하는 TNT 모델을 설명하는 것에 그 초점을 둔다.

• Asia Marketing Journal
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• 제6권2호
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• pp.55-68
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• 2004

본 연구는 마케팅믹스변수와 시장점유율간의 관계를 파악하는 시장점유율모형 중 논리적 타당성으로 주목을 받고 있는 MCI (Multiplicative Competitive Interaction) 모형의 특성과 적용방법을 실증적 자료를 이용해 설명하려는 데 목적이 있다. MCI 모형은 유인력모형의 한 형태이며, Nakanishi and Cooper(1982)에 의해 비선형모형을 선형모형으로 전환시켜 모수를 추정할 수 있는 방안이 제시되면서 활용가능성이 높아졌다. 본 연구에서는 MCI 모형의 적용과정을 국내 소비재산업의 마케팅담당자가 입수가능한 다양한 원천의 마케팅자료를 종합적으로 이용하여 제시하였다. 이 과정에서 선형화된 MCI 모형의 모수 추정에 있어 Equity 추정방식을 적용하여 독립변수로 활용된 마케팅믹스 변수들간 다중공선성 문제의 해결방안도 제시하였다. 국내 껌시장에 대해 적용된 분석결과, 시장점유율 증대에 영향을 미치는 마케팅믹스변수들을 찾아낼 수 있었으며, 마케팅담당자들에게 유용한 시사점을 제시해줄 수 있었다.