• Journal of Preventive Medicine and Public Health
• /
• 제57권4호
• /
• pp.399-406
• /
• 2024

Objectives: This study developed a causal relationship model of herb use from observational data and analyzed the direct and indirect effects of herb use on health according to the model. Methods: A cross-sectional study was conducted with 400 participants aged 26-59 years, selected through multistage random sampling. The instruments used for data collection included demographic information, herb use, health literacy (HL), perceived social support, societal values, and attitudes toward herb use. The conceptual model, hypothesized based on prior evidence, was tested using confirmatory factor analysis through structural equation modeling. Path coefficients were estimated using the maximum likelihood method. Results: The final model utilized empirical data, which showed that perceived social support had the most significant impact on herb use. This was followed by HL, positive attitudes toward herbal remedies, and societal values, with coefficients of 0.31, 0.18, and 0.16, respectively. When analyzing variables that indirectly affected herb use, it was clear that positive attitudes, perceived social support, and societal values significantly influenced herb use through HL, with influence coefficients of 0.08, 0.16, and 0.04, respectively. Together, these variables accounted for 68% of the variance in herb use. Conclusions: The findings from this study can be utilized to develop and implement strategies that guide the use of herbal products, ultimately aiming to improve human health.

• Journal of Information Science Theory and Practice
• /
• 제10권3호
• /
• pp.1-14
• /
• 2022

The present study investigates the impact of perceived value metrics in driving satisfaction and behavioral intention to use e-resource among its users. Utilitarian, hedonic, uniqueness, epistemic, and economic are key values selected for the purpose of investigation in the study. This empirical study is carried out through a survey and responses have been analyzed using structural equation modelling. The target group is selected by means of simple random sampling (users of e-resources in selected business schools). Findings of the study reveal that utilitarian values, hedonic values, epistemic values, and uniqueness values have a significant impact on the usage intention of e-resources; however, economic values reflect an insignificant relationship to intention to use e-resources. The study is a distinctive piece of work on investigating the most and the least significant value(s) associated with satisfaction and usage intentions of e-resources.

• Journal of Multimedia Information System
• /
• 제5권4호
• /
• pp.283-290
• /
• 2018

Smarthome is one of the remarkable fields of the industrial revolution 4.0, which are popular in many countries such USA, EURO, Japan and Korea. However, how Vietnamese people are considering and having intension to use smarthome devices is still a question for marketers and researchers. This study develops a comprehensive research model that can explain potential customers' behavioral intentions to adopt and use Smarthome services in Viet Nam and figure which key factors affect the intention. This study proposes and validates a new theoretical model that extends the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The model consists of eight factors that affect one element (Behavioral Intention), specifically: Habits, Perceived usefulness, Perceived ease of use, Trust, Innovativeness Personal, Perceived value, Hedonic motivations and Social influences. Data were collected from 304 Vietnamese citizens by sending the email to survey questionnaire, direct contact with the experienced smarthome users. Through regression analysis, data from samples were analysed with SPSS 20 software and verification of hypotheses, the results show the key determinants affecting the intention to use smarthome appliances in Vietnam: Perceived Value, Social Influence, Perceived Usefulness, Perceived Ease of Use and Trust. From this result, several recommendations have been suggested to to smarthome devices vendors and marketer to improve products as well as marketing approaches to meet customer needs.

• 대한예방한의학회지
• /
• 제25권2호
• /
• pp.85-98
• /
• 2021

Objectives : This study aimed to analyze characteristics of the Korean Medicine users aged 19-39 years, the determinants of Korean Medicine use and effects of Korean Medicine use experience on behavioral intentions among youths. Methods : We studied Korean Medicine Utilization and Herbal Medicine Consumption Survey(2017) data set by complex-sample survey data analysis. In order to derive the characteristics of younger users, Rao-scott χ² test and t-test were conducted. Through multiple logistic regression model adjusted by general characteristic variables, the determinants and behavioral intentions of the Korean Medicine utilization among youths were derived. Results : Fist of all, young users and non-users have significant differences in socio-demographic characteristics and perception on Korean Medicine. Among the general characteristic variables, region, age, marital status, occupation, chronic disease, and private health insurance plans had an effect on the Korean Medicine use in young people(Model II). And adjusted by general characteristic variables as control variables, awareness of Korean Medicine and perception of safety of herbal medicine were deduced as determinants of Korean Medicine use(Model III). Secondly, Korean Medicine use experience increased intentions to use and recommend Korean Medicine services(Model IV-1, 3). Conclusions : In order to increase the use of Korean Medicine among young people, Korean Medicine institutions should strive to increase users' satisfaction, and public health insurance coverage for Korean Medicine services needs to be expanded.

• Journal of Information Technology Applications and Management
• /
• 제18권3호
• /
• pp.73-89
• /
• 2011

More and more employees are implementing the use of emerging Web 2.0 tools such as blogs, wikis, social networks, etc in workplaces. However, their attitudes towards adoption of Web 2.0 tools in workplaces still lack theoretical support. The purpose of this study aims to provide a conceptual examination of the determinants that influence the intention to use Web 2.0 applications in workplaces in Korea. To achieve this objective, this study selected the theory of reasoned action (TRA) as a theoretical basis to explain variation in behavioral intentions. Structural equation modeling was employed to analyze data collected from 269 workers distributed in 5 companies in Korea. In addition, we classified respondents into extroverts and introverts and delineated the different factors for these two types of respondents that affect their intentions to use Web 2.0 tools in workplaces. The findings of this research could provide a theoretical foundation for academics on the validation of technology adoption. This research will also serve as a guideline for service providers in designing the Web 2.0 services.

• 한국정보시스템학회지:정보시스템연구
• /
• 제30권3호
• /
• pp.159-175
• /
• 2021

Purpose The purpose of this study was to find the effect of the determinants on the Big data utilization in industry. The determinants of Big data utilization were deduced by reviewing theoretical background and discussions on Big data related researches. Research model and proposed hypothesis were constructed from TOE framework and UTAUT model. Design/methodology/approach The research was conducted to collect a sample data from the experts involved in the Big data projects in industry. In addition, interviews and online survey were performed to get sample data. Exploratory factor analysis was conducted to verify the grouping of these questionnaire items and confirmatory factor analysis was done to verify the validity and reliability of the measurement model. Finally, research hypothesis was verified and theoretical and practical implications were proposed for further studies. Findings The results show that the technical factor have a significant effect on the expectancy factor and the behavioral factor. The organizational factor have a significant effect on the behavioral factor. In addition, the expectancy factor was significant on the behavioral factor and the intention-to-use of Big data system.

• 대한간호학회지
• /
• 제14권2호
• /
• pp.84-92
• /
• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• 정보보호학회논문지
• /
• 제34권3호
• /
• pp.505-513
• /
• 2024

이 연구는 OTT 플랫폼에서 '쿠키'를 통한 행태정보 수집과 이에 기반한 맞춤형 서비스에 대한 소비자 인식을 조사한다. 120명의 다양한 연령대 소비자를 대상으로 SPSS를 활용하여 4가지 가설에 대한 상관관계를 분석했다. 결과는 OTT 기업의 행태정보 수집 인지와 온라인 트래킹 인식 간의 상관관계, 행태정보 수집 인지와 쿠키 제공 의사 간의 상관관계, 그리고 가입 시 행태정보 수집 약관 확인 정도와 온라인 트래킹 인식 간의 상관관계를 나타냈다. 이로써 소비자들의 행태정보에 대한 지식 수준이 중요성과 맞춤형 서비스 이용 의도에 영향을 미친다는 결론이 도출되었으며, 이를 토대로 기업과 정부 차원에서의 규제 필요성을 제안한다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 ITC-CSCC -1
• /
• pp.231-234
• /
• 2002

A transceiver for ADSL systems contains an interpolated combfilter, halfband filters, oversampling sigma delta modulator, a current steering DAC and an analog filler. The circuit complexity of the architecture makes it necessary to use behavioral models to determine the system features. For this reason, we need a specific behavioral simulation environment using the Matlab program. The Matlab is crucial for these circuits to be rapidly incorporated in larger systems, in particular in the context of mixed-signal-test schemes. Design trade-off among the blocks has also been discussed. The design methodology is based on behavioral design and CMOS process.

• Journal of Ecology and Environment
• /
• 제31권3호
• /
• pp.177-181
• /
• 2008

Recently, the evolutionary study of human psychology and behavior has undergone rapid growth, diversifying into a few distinct sub-disciplines. One fundamental issue over which researchers in Human Behavioral Ecology and Evolutionary Psychology (EP) have different views is the role of formal optimality modeling for making hypotheses and deriving predictions about human adaptations. The study of EP typically rests on informal inferences and rarely uses optimality modeling, a strategy which human behavioral ecologists have severely criticized. Here I argue that EP researchers have every reason to make extensive use of optimality modeling as its research method. I show that optimality modeling can play an integral role in identifying the functional organization of human psychological adaptations.