• 한국콘텐츠학회논문지
• /
• 제13권6호
• /
• pp.158-166
• /
• 2013

본 연구는 사람들이 소셜미디어 수용을 왜 거부하는지를 혁신저항모델과 지각된 위험이론을 적용하여 탐색하였다. 모든 새로운 기술이나 혁신은 수용과정에서 채택 또는 저항이라는 과정을 거친다. 그러므로 저항이라는 것도 수용을 위한 하나의 과정으로 볼 수 있다. 이에 따라 본 연구는 소셜미디어를 적용하여 수용자들이 왜 혁신을 거부 또는 저항하는지를 탐색하였다. 이를 위해 소셜미디어(트위터) 비이용자인 대학생 268명의 자료를 분석에 활용하였다. 주요결과로는 다음과 같다. 첫째, 소셜미디어에 대한 상대적 이점은 혁신저항에 통계적으로 유의미한 부적 영향을 미치는 것으로 나타났다. 둘째, 소셜미디어에 대한 인지적 복잡성은 혁신저항에 통계적으로 유의미한 영향을 미치지 못한 것으로 나타났다. 셋째, 소셜미디어에 대한 지각된 위험은 혁신저항에 통계적으로 유의한 정적 영향을 미치는 것으로 나타났다. 결론적으로 소셜미디어가 사회적 대인관계 매체로서 보다 강화되기 위해서는 상대적 이점을 높이고, 명예훼손이나 인식공격과 같은 위험요소를 줄일 수 있도록 해야 할 것이다.

• Human Ecology Research
• /
• 제57권2호
• /
• pp.171-183
• /
• 2019

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers' adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers'adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.

• 대한간호학회지
• /
• 제44권6호
• /
• pp.743-750
• /
• 2014

Purpose: The objective of this study was to provide a trend analysis of the prevalence of diabetes relative to the socioeconomic, lifestyle, and physiologic risk factors among Korean adults aged over 30 years for a 10-year period using data from the Korean National Health and Nutrition Examination Survey. Methods: Prevalence difference and the slope index of inequality were calculated for each risk factors using binomial regression by considering the repeated cross-sectional features of the data. The prevalence ratio and the relative index of inequality were calculated using log-binomial regression. Linear trend tests were performed using SAS 9.2. Results: Crude prevalence of diabetes increased over the 10-year period, and was higher for men than for women. It was very high for adults 60 years or over, consistently increasing over time. The prevalence among unemployed men, women with higher level of stress, women with hypertension, and adults with serum triglyceride levels over 135 mg/dL increased over the 10-year period in comparison with the respective control group. Conclusion: Considering the rapid economic development and associated lifestyle changes in Korea, action should be taken to control the prevalence of diabetes by both preventing and consistently monitoring these identified risk factors using a public-health approach.

• 산업기술연구
• /
• 제22권A호
• /
• pp.127-135
• /
• 2002

In this study, the preliminary risk assessment for the underground storage tanks(UST) in Chunchon city was implemented using the geographical information system(GIS). The estimation variables, such as the installation year, storage capacity, the distances from streams, and from groundwater pumping wells, were selected to estimate the relative risk levels. The weighting factors were given to all the estimation variables. Cumulative scores were induced by the combination of all the scores of the corresponding variables using the buffering technique and the overlay analysis in ArcView. Using the these process, the relative risk level of each UST was estimated. Some sites in this study are simplified and reduced because the number of useable data are limited or too enormous. Thus the selection of the comprehensive estimation variables and the proper weighting values are required for the future study. The methodology in this study could be served not only for the preliminary risk assessment of UST but also for the selection of the proper location of new and old UST. And, it can be used for the effective management system of UST.

• The Plant Pathology Journal
• /
• 제36권5호
• /
• pp.406-417
• /
• 2020

Early warning services for crop diseases are valuable when they provide timely forecasts that farmers can utilize to inform their disease management decisions. In South Korea, collaborative disease controls that utilize unmanned aerial vehicles are commonly performed for most rice paddies. However, such controls could benefit from seasonal disease early warnings with a lead time of a few months. As a first step to establish a seasonal disease early warning service using seasonal climate forecasts, we developed the EPIRICE Daily Risk Model for rice blast by extracting and modifying the core infection algorithms of the EPIRICE model. The daily risk scores generated by the EPIRICE Daily Risk Model were successfully converted into a realistic and measurable disease value through statistical analyses with 13 rice blast incidence datasets, and subsequently validated using the data from another rice blast experiment conducted in Icheon, South Korea, from 1974 to 2000. The sensitivity of the model to air temperature, relative humidity, and precipitation input variables was examined, and the relative humidity resulted in the most sensitive response from the model. Overall, our results indicate that the EPIRICE Daily Risk Model can be used to produce potential disease risk predictions for the seasonal disease early warning service.

• The Plant Pathology Journal
• /
• 제28권2호
• /
• pp.172-184
• /
• 2012

An infection risk model for Phytophthora blight on chili pepper was developed to estimate the first date of disease occurrence in the field. The model consisted of three parts including estimation of zoosporangium formation, soil water content, and amount of active inoculum in soil. Daily weather data on air temperature, relative humidity and rainfall, and the soil texture data of local areas were used to estimate infection risk level that was quantified as the accumulated amount of active inoculum during the prior three days. Based on the analysis on 190 sets of weather and disease data, it was found that the threshold infection risk of 224 could be an appropriate criterion for determining the primary infection date. The 95% confidence interval for the difference between the estimated date of primary infection and the observed date of first disease occurrence was $8{\pm}3$ days. In the model validation tests, the observed dates of first disease occurrence were within the 95% confidence intervals of the estimated dates in the five out of six cases. The sensitivity analyses suggested that the model was more responsive to temperature and soil texture than relative humidity, rainfall, and transplanting date. The infection risk model could be implemented in practice to control Phytophthora blight in chili pepper fields.

• 한국경영과학회지
• /
• 제28권1호
• /
• pp.63-77
• /
• 2003

Group buying is one of the most popular transaction patterns on the internet at least in Korea. Nevertheless, it is hard to find academic researches for it in view of consumer behavior. In this paper, we analyze factors which determine consumer's attitude toward and intention of participation in Internet group buying by comparison of Internet individual one. For this purpose, we propose “lowering price”, “decreasing risk” and “reducing transaction cost” as relative advantages and "lack of product assortment" and "delay of time" as relative disadvantages over individual buying on the Internet. For empirical test, Internet users who have some experiences of individual buying but not group ones on the Internet are surveyed and analyzed. In result, a satisfying model fitness for structural equation model is derived and most hypotheses except the relationship between "decreasing risk" and "attitude toward Internet group buying" are accepted. Our results provide not only academic contribution by suggestion of a research framework but also practical insight by discussion of diverse features in Internet group buying.verse features in Internet group buying.

• Journal of the Korean Statistical Society
• /
• 제35권1호
• /
• pp.63-77
• /
• 2006

Maximum product of spacings estimator is proposed in this paper as a competent alternative of maximum likelihood estimator for the parameters of exponentiated-Weibull distribution, which does work even when the maximum likelihood estimator does not exist. In addition, a Bayes type estimator known as generalized maximum likelihood estimator is also obtained for both of the shape parameters of the aforesaid distribution. Though, the closed form solutions for these proposed estimators do not exist yet these can be obtained by simple appropriate numerical techniques. The relative performances of estimators are compared on the basis of their relative risk efficiencies obtained under symmetric and asymmetric losses. An example based on simulated data is considered for illustration.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권1호
• /
• pp.385-405
• /
• 2019

High Efficiency Video Coding (HEVC) enables significantly improved compression performance relative to existing standards. However, the advance also requires high computational complexity. To accelerate the intra prediction mode decision, a minimum risk Bayesian classification framework is introduced. The classifier selects a small number of candidate modes to be evaluated by a rate-distortion optimization process using the sum of absolute Hadamard transformed difference (SATD). Moreover, the proposed method provides a loss factor that is a good trade-off model between computational complexity and coding efficiency. Experimental results show that the proposed method achieves a 31.54% average reduction in the encoding run time with a negligible coding loss of 0.93% BD-rate relative to HEVC test model 16.6 for the Intra_Main common test condition.

• 지질공학
• /
• 제28권3호
• /
• pp.379-395
• /
• 2018

탐방로의 전체적인 환경은 크게 탐방로 상부, 탐방로 자체, 탐방로 하부로 나누어진다. 본 연구에서는 현장조사를 기반으로 하여 3가지의 탐방로 환경과 인문/사회 요인을 결합하여 탐방로 위험지수를 개발하였다. 탐방로 현장조사를 위해 체크리스트를 개발하였으며, 체크리스트 항목들은 상대적인 중요도 분석과정을 거쳐 점수화 되었다. 항목들의 상대비중 분석은 AHP 기법을 활용하였다. AHP 분석 결과, 탐방로 상부 환경이 나머지 환경들에 비해 2배 중요한 것으로 나타났으며, 각 환경들에 속한 항목들의 중요도 및 배점이 정해졌다. 위험지수는 항목들의 총합으로 계산되었으며, 기조사 자료를 이용한 가중치가 더해졌다. 위험지수는 총점 200점으로 설정하였으며, 최대 159점, 최소 64.2점으로 산출되었다. 현장 상황과 위험지수의 비교 분석 결과, 위험성이 낮은 구간은 대부분 100점 이하의 값을 보였으며, 위험성이 매우 높거나 사고이력을 가지는 구간은 140점을 초과하는 것으로 나타났다.