• 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.

• 한국보건간호학회지
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• 제25권1호
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• pp.61-72
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• 2011

Purpose: To investigate the behavioural factors of the health promotion for caregivers based on a socio-ecological model. Methods: This study was a cross-sectional descriptive study using a self administered questionnaire. The survey was conducted in 219 people chosen through convenient sampling between September and December 2008. The collected information included general characteristics, individual, interpersonal, community, policy level. Results: For the statistical analysis, the t-test was used for the health promotion according to the general characteristics and to each level of the socio-ecological model, by assessing the high and low values and dividing them into mean points. The influence elicited by different health promotion factors was determined using the hierarchical multiple regression. At the individual level, the factors influencing health promotion in caregivers included perceived seriousness, perceived benefits, and self efficacy. Social support was important at interpersonal level, and the use of community resource was relevant for the community level. We found no statistically significant factors relating to the policy level. Conclusions: In conclusion, the socio-ecological models seems appropriate for explaining health promotion and its associated factors in caregivers. We suggest that, for caregivers, strategies should be developed for their social support and to offer information about how to use community resources in relation with factors relating to the individual level.

• 보건의료산업학회지
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• 제10권2호
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• pp.83-97
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• 2016

Objectives : This study analyzed the factors that determine the use and type of medical examination services (MES) to develop a model explaining the use behavior of MES which could consequently contribute to policy implications for medical examinations. Methods : Based on Anderson's healthcare utilization model, the MES utilization model was developed by including the perceived needs for MES. The data were collected from an online survey of a population aged 20-39 years and from a telephone survey of a population aged 40 years or older, respectively. Chi-Square tests and hierarchical logistic regression analyses were done with SAS version 9.3. Results : Generally, as health status became lower, the use of MES increased. However, patients with two or more chronic diseases were less likely to use private MES compared to patients with one chronic disease. The perceived needs for MES were only related to the use of service and not to the choice of the MES type. Conclusions : There were different results for the significant determinants between the use of the MES and the choice of the MES type. The healthcare industry needs to aware of consumer needs to provide MES based on empirical findings.

• 여성건강간호학회지
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• 제22권4호
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• pp.210-220
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• 2016

Purpose: The purpose of this study was to construct and test a structural equation modeling on the reproductive health behavior of single women with sexual experiences. This study employed Ajzen's Theory of Planned Behavior (TPB). Methods: The data were collected after receipt of consent from 250 single women with sexual experiences, and analyzed using SPSS 18.0 and AMOS 18.0. Results: Model fit indices for the hypothetical model were suitable for the recommended level: $x^2=362.407$, RMR=0.065, RMSEA=0.070, GFI=0.867. TLI=0.927, CFI=0.938, IFI=0.939, and $x^2/dF=2.237$. Intention showed direct effect with the biggest effect being on reproductive health behavior. Attitude, subjective norm and perceived behavioral control were found to have a direct effect on intention. Among them, perceived behavioral control revealed the largest influence. Conclusion: This study suggests that the TPB is a suitable model in explaining the reproductive health behavior of single women with sexual experience. Strategic plans for educational and intervention programs should be aimed to encourage single women to engage in reproductive health behavior.

• 한국정보시스템학회지:정보시스템연구
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• 제18권1호
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• pp.117-144
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• 2009

Government uses the Internet technology to create electronic Government(e-Government). E-Government is an on-going project, and it represents a strong intention of Korean government to make effective and smooth communication between Korean government and its people. To achieve this purpose, government portal sites is one of projects of e-government, being a common gateway for users to find information and to communicate with the government concerning many matters/any matter. However, user's attitudes and behaviors explaining why they intend to use government portal sites is a scant. Therefore, the main purpose of this study is to investigate empirically the determinants influencing users' intention to use government portal-sites. Starting with DeLone & McLean's Updated Information Success Model(2003), this study suggests three qualities(Information Quality, Systems Quality, and Service Quality) and two moderating effects(Ambiguity and Government Supports), which affect the perceived usefulness of government portal sites. Results show that the hypotheses were supported. The findings of the study suggest not only a new theoretical model for IS research, but also the important indicators of a successful usage of e-Government portal sites.

• Bulletin of the Korean Chemical Society
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• 제34권3호
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• pp.793-800
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• 2013

A few years ago, the plasmon-induced electronic coupling (PIEC) model was proposed in the literature to explain small changes in the surface-enhanced Raman scattering (SERS) in nanogap systems. If this model is correct, it will be very helpful in both basic and application fields. In light of this, we carefully reexamined its appropriateness. Poly(4-vinylpyridine) (P4VP) used in the earlier work was, however, never a proper layer, since most adsorbates not only adsorbed onto Ag nanoparticles sitting on P4VP but also penetrated into the P4VP layer deposited initially onto a flat Ag substrate, ultimately ending up in the SERS hot sites. Using 1,4-phenylenediisocyanide and 4-nitrophenol as the affixing layer and the foreign adsorbate, respectively, we could clearly reveal that the PIEC model is not suited for explaining the Raman signal in a nanogap system. Most of the Raman signal must have arisen from molecules situated at the gap center.

• ETRI Journal
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• 제25권4호
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• pp.258-265
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• 2003

In our study, we extracted the market, finance, and government factors determining R&D investment of individual firms in the IT industry in Korea. We collected the financial data of 515 individual firms belonging to IT and non-IT industries between 1980 and 1999 from the Korea Investors Service's database and investigated the empirical relationship between the factors using an ordinary regression model, a fixed effects model, and a random effects model. The main findings of our study are as follows: i) The Herfindahl Index variable representing the degree of market concentration is statistically insignificant in explaining R&D expenditures in the IT manufacturing industry. ii) Assets, which is used as a proxy variable for firm size, have a positive and statistically significant coefficient. These two results suggest that the Schumpeterian Hypothesis may be only partially applied to the IT manufacturing industry in Korea. iii) The dividend variable has a negative value and is statistically significant, indicating that a tendency of high dividends can restrict the internal cash flow for R&D investment. iv) The sales variable representing growth potential shows a positive coefficient. v) The subsidy as a proxy variable for governmental R&D promotion policies is positively correlated with R&D expenditure. This suggests that government policy has played a significant role in promoting R&D activities of IT firms in Korea since 1980. vi) Using a dummy variable, we verified that firms reduced their R&D investments to secure sufficient liquidity under the restructuring pressure during Korea's 1998 and 1999 economic crisis.

• 성인간호학회지
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• 제13권4호
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• pp.610-619
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• 2001

Purpose: The purpose of this study was to verify the effectiveness of the model based on the TPB, behavior-related theories, and exercise-related empirical studies in predicting exercise intention and behavior. Methods: The subjects who participated in this study were 152 middle-aged women. The data were analyzed by use of SAS PC program and LISREL 8.12a program. Results: 1) The overall fit of the hypothetical model to the data was acceptable ($\chi^2$ 24.01(p=0.0043), $\chi^2/df$ 2.67, RMSEA 0.11, standardized RMR 0.04, GFI 0.97, AGFI 0.84, NFI 0.95, NNFI 0.85). 2) Affect, subjective norm, perceived behavioral control and habit were significant determinants of the exercise intention. Attitude and facilitating conditions were not significant determinants. These six variables explained 43% of the total variance of the exercise intention. 3) Perceived behavioral control and habit were significant determinants of the exercise behavior. Intention and facilitating conditions were not significant determinants. These four variables explained 95% of the total variance of the exercise behavior. Conclusion: This study shows the model's applicabiltiy in explaining exercise behavior of middle-aged women, and suggests that we should focus on perceived behavioral control and habit rather than intention to improve exercise behavior of middle-aged women.

• 대한간호학회지
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• 제15권2호
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• pp.5-15
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• 1985

This study was conducted for the purpose of fin-ding out the variance explaining the medical facilities utilization behavior, which is defined adaptation behavior Process by focal, contextual, residual stimuli in Roy's Adaptation Model. What kinds of characteristics can explain adaptation behavior in Roy's Model? And which is the relative importance of input variables? For this analysis, stepwise multiple regression and path analysis was used. The data come from the 1981 Baseline Household Interview Survey in remote rural area. The findings of the analysis can be summarized as follows: First, Total variance of independant variables for adaptation behavior, that is medical facilities utilization including clinic, drug store, health center, herb medicine was shown 16.2 percent. The most important variable which explain the dependent variable was the occurance of illness with the Ra of value 0.112. The illness symptom, living level, regular care source was shown important variables with relatively high the R²value and significant beta coefficient. Second, in the path analysis of variables which is selected important variables, the occurance of illness was shown variable which has the highest direct effect which 0.297 path coefficient. Also the education level of household was shown variable which has the highest indirect effect through living level and the occurance of illness in causal model. Third, This analysis suggests that the occurance of illness belonging focal stimuli are more influenced than others. To sum up, It is seem to the occurance of illness, illness symptom belonging focal stimuli have high explanation ability through direct effect, education level of household among contextual stimuli have explanation ability through indirect effect.

• 보건의료산업학회지
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• 제3권2호
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• pp.17-27
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• 2009

The purpose of this study was to identify the impact of e-commerce system satisfaction on e business success factors. We developed the questionnaire for measuring system satisfaction and success factors and tested internal reliability and construct validity. Cronbach's alphas of all system satisfaction factors were above .79 and that of e business success factors were above .82 except partnership (.66). In the regression models, we tried to identify all possible independent variables such as individual factors, organizational factors, system vendor size, order items in their systems and system satisfactions. Using Partial F-test, the regression model with system satisfaction factors, individual and organizational factors was identified as the optimal model in explaining the dependant variable. In the best model, system readiness and timeliness was significant determinants of e-business success evaluation. After using 7 success evaluations factors as the dependant variables, only three models were significant linear models, which were the models with partnership, CEO willingness to e-commerce and e-commerce support. In those models, system readiness and timeliness showed consistent influences to success factors.