• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.2
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• pp.74-85
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• 2012

As competition increases, ski resort managers need to search for ways to attract previous visitors or to gain new visitors through word-of-mouth. This study examined the impact of skiers' perceived value, satisfaction and self-congruity on the revisit intention and the positive word-af-mouth intention. Total respondents were also segmented into a promotion-focus and prevention-focus individuals then later examined the differences in the effect of independent variables between groups in order to suggest a managerial direction that will enhance business competency of ski resorts. Results from regression analysis showed that all independent variables utilized in this study were good predictors of two dependent variables. Specially, satisfaction was a highly significant predictor. Promotion and prevention-focused individuals were also differed in evaluating the importance of independent variables for their revisit and word-of-mouth intention. It means that self-regulatory focus is an effective variable for segmentation. More specifically, satisfaction was the only variable influencing the revisit intention for promotion-focused individuals; whereas both satisfaction and self-congruity had significant effects on the revisit intention for prevention-focused individuals. All independent variables had significant effects on the word-of-mouth intention, except self-congruity for promotion-focused individuals. This research suggests several managerial implications on the findings based on the analysis and the characteristics of the visitors.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.569-578
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• 2003

Data dependencies are one of major hurdles to limit ILP(Instruction Level Parallelism), so several related works have suggested that the limit imposed by data dependencies can be overcome to some extent with use of the data value prediction. Hybrid value predictor can obtain the high prediction accuracy using advantages of various predictors, but it has a defect that same instruction has overlapping entries in all predictor. In this paper, we propose a new hybrid value predictor which achieves high performance by using the information of static and dynamic classification. The proposed predictor can enhance the prediction accuracy and efficiently decrease the prediction table size of predictor, because it allocates each instruction into single best-suited predictor during the fetch stage by using the information of static classification. Also, it can enhance the prediction accuracy because it selects a best- suited prediction method for the “Unknown”pattern instructions by using the dynamic classification mechanism. Simulation results based on the SimpleScalar/PISA tool set and the SPECint95 benchmarks show the average correct prediction rate of 85.1% by using the static classification mechanism. Also, we achieve the average correction prediction rate of 87.6% by using static and dynamic classification mechanism.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.121-131
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• 2014

Traffic speed is an important measure in transportation. It can be employed for various purposes, including traffic congestion detection, travel time estimation, and road design. Consequently, accurate speed prediction is essential in the development of intelligent transportation systems. In this paper, we present an analysis and speed prediction of a certain road section in Busan, South Korea. In previous works, only historical data of the target link are used for prediction. Here, we extract features from real traffic data by considering the neighboring links. After obtaining the candidate features, linear regression, model tree, and k-nearest neighbor (k-NN) are employed for both feature selection and speed prediction. The experiment results show that k-NN outperforms model tree and linear regression for the given dataset. Compared to the other predictors, k-NN significantly reduces the error measures that we use, including mean absolute percentage error (MAPE) and root mean square error (RMSE).

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.277-286
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• 2017

This study assesses the association of nurses' hope, grateful disposition, and workplace spirituality with the goals of providing human resource management plans that lead to efficient and competitive nurse structure by building a nurse organizational culture based on analyzing the influences affecting organizational citizenship behavior. Participants were 147 nurses working in four general hospitals in Seoul and Gyeonggi-do. The survey data were analyzed by frequencies, t-test, ANOVA, Pearson correlation coefficients and multiple stepwise regression via SPSS WIN 18.0. Results showed that organizational citizenship behavior is positively associated with nurse's hope (${\gamma}=.22{\sim}.36$, p<.001), grateful disposition (${\gamma}=.38$, p<.001) and workplace spirituality (${\gamma}=.38{\sim}.54$, p<.001). The significant predictors of organizational citizenship behavior were workplace spirituality (${\beta}=.54$, p<.001), hope of turnover (${\beta}=.12$, p<.001), hope (${\beta}=.09$, p<.001) and grateful disposition (${\beta}=.08$, p<.001), which explained 41.6% of the variance in organizational citizenship behavior. This study systematizes a theory for workplace spirituality processing the early stage research in nurse structure. To improve organizational citizenship behavior among nurses, educational programs and supporting systems should be developed to increase nurses' hope, disposition of grateful disposition, and workplace spirituality.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.197-207
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• 2020

The purpose of this study was to identify the predictors of death anxiety among community-dwelling elderly cancer survivors in Korea. This study was a descriptive correlation study with 216 elderly cancer survivors who live in the jurisdiction of community health centers in Chugbuk province. Data of this study were collected from February 27 to March 15 2019 by a structured questionnaire. The data were analyzed using independent t-test, one-way ANOVA, Pearson's correlation coefficient, and hierarchical multiple regression. In the results, the mean score of death anxiety was 2.47±0.39 out of 4.0, while that of ego integrity was 2.60±0.29, depression 6.35±4.0, and awareness of a good death 2.97±0.35. Based on the hierarchical multiple regression analysis, subjects' awareness of a good death had the greatest impact on death anxiety (β = 0.255, p < .001), followed by depression (β = 0.185, p = .020) and religion (no= 1; β= 0.148, p = .021). These factors explained 16.4% of death anxiety (F=8.04, p<.001). Therefore, the results of this study are expected to be utilized as basic data for developing an intervention program that will be designed to reduce the death anxiety in elderly cancer survivors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.548-556
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• 2016

Cognitive-linguistic changes that normally accompany aging are often simply an annoyance, but in some instances they may herald a more perilous course of decline to a state of neurological disease. This study investigated the correlation between subjective and objective tests on cognitive-linguistic abilities in older adults and the predictors of objective performances. Healthy elders over 65 years of age (n=63) and their informants (n=63) completed the subjective and objective cognitive-linguistic tests (ISCOLE and CAPTBI) from July of 2015 to February of 2016. The main findings were as follows: performance on the self-report test was not significantly different from that on the informant-report test. Additionally, eight domains in older adults group and 15 domains in the informants group were significantly associated with performance on the objective test. Finally, language on the informant-report test was a predictor of several abilities including problem solving and memory on the informant-report test predicted executive function and language. The present study demonstrates that two groups have significant differences in correlation between subjective and objective tests on the cognitive-linguistic abilities, and there are more relevant domains in rating by informants. These findings have implications for the use of cognitive-linguistic evaluation and preventive intervention in clinical settings.

• Journal of the Korean Society of Safety
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• v.22 no.6
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• pp.91-97
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• 2007

A survey of risk perception in Korea was conducted in 2001 with a special emphasis on industrial and technological risks. This article summarizes the characteristics of risk perception in consideration of socio-demographic background of respondents. The survey with sample size of 1,870 evaluates the perceived level of 25 risk items in the areas of transportation, chemicals, environment, industry, and nuclear power generation. Risks are categorized by using factor analysis to clarify attitudinal or behavioral properties of risk perception. Research findings show that the level of perceived risk does not correspond to the statistical level. Socio-demographic variables are significant predictors in explaining risk perception, or the discrepancies between "subjective" and "objective" risks. Effective risk communication can reduce the perceptional discrepancies, improve the awareness of technological risks, and ultimately facilitate the process of making and implementing policies for risk management and safety regulation. This article tries to provides policy guidelines for "Who is the target for risk communication" and "Which risk has the policy priority for safety improvement." Married females at the age of 30s and 40s with lower education and lower income in small cities are more vulnerable to risk misperception than other groups. More information and knowledge regarding unfamiliar, intangible, new technological risks should be delivered to the vulnerable groups for reducing perceptional bias. Society-wide safety can be improved by integrating policy, human, and social factors as well as techno-engineering advances.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4011-4020
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• 2015

The purpose of this study was to determine the self efficacy, body image and family support affect on postpartum depression in early postpartum mothers. The data was collected 306 mothers on the first week after delivery from one hospital located in B city. The instruments were a survey of general characteristics, obstetrical characteristics, the Edinburgh Postnatal Depression Scale(EPDS), self-efficacy, body image and family support. Data was analysed using descriptive statistics, Pearson correlation coefficients, and stepwise multiple regression. The results revealed that the average item score of the EPDS was 6.09. The significant predictors of postpartum depression were body image, emotional state in pregnancy, and family support. These variables had a 38.4% explainability. The results indicate that the postpartum mothers should be screened for postpartum depression early in the postpartum period and it's necessary to implement nursing intervention focused on to enhance the body image and family support, especially the weak emotional state mothers in pregnancy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1342-1349
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• 2013

This study was performed to investigate the factors which impact on the health-related quality of life of young-old(65-69 yr), old-old(70-79 yr), and oldest-old(80 yr or above) women in vulnerable elderly received home care service from public health centers in B city. The data were collected from 383 elderly women using structured questionnaires from September to November, 2010. Multiple regression with the SPSS WIN 18.0 program were used to analyze the data. There were statistically significant differences among young-old, old-old, and oldest-old women regarding the health-related quality of life, life satisfaction, cognitive function, frail condition. The models including life satisfaction, frail condition, cognitive function, perceived health status, number of chronic diseases were explained variance of the health-related quality of life elderly women differently like 42.8% of young-old, 28.9% of old-old, and 31.5% of oldest-old. Finally, frail condition and life satisfaction were predictors in explaining the level of health-related quality of life among vulnerable old women regardless of age. Based on the findings of the study, health promotion programs should be developed to improve health-related quality of life of vulnerable aged women according to age differences.

• Journal of the Korean Society of School Health
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• v.4 no.1
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• pp.116-125
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• 1991

The purposes of this study are to identify the degree of exercise intent and behavior and to determine factors influencing exercise and behavior in middle school students. The subjects for this study were 658 middle school students in Chonbuk area. The data were obtained by questionaire for the period from Nov. 1 to Dec. 20, 1990. The instrument used for the study were included 6 existing scales and 2 scales developed by the researcher for this study. They are: 1) The exercise intent scale to assess the exercise plan even when they had no longer physical education. 2) The current exercise behavior to measure of exercise frequency for 1 week. 3) The scale to measure the level of self -esteem. 4) The scale to measure the level of knowledge about exercise. 5) The scale to measure the level of the perceived ability to make commitment. 6) The scale to measure the level of the perceived benifit of exercise. 7) The scale to measure the level of the perceived athletic ability. 8) The scale to measure the level of the attitude toward physical education. The data were analyzed using frequency, percentage, one way ANOVA, Pearson Coeffecients Correlation and stepwise multiple regression. The following; results were obtained. 1. Exercise intent level was in the intermediate range(mean on five point scale of 3.66, with 1 = definitely no). 2. The current exercise behavior level was relatively low(mean=1.77, with l=less than once per week and 4 = 4 or more times per week). 3. Self -esteem levels were in the intermediate range(mean on five point scale of 2.96, a mean of 5.0 indicate highest level of self-esteem.) 4. The levels of perceived ability to make commitments were in the intermediate range(mean=3.05, with 5.0 as most able). 5. The levels of perceived exercise as benificial were relatively high(mean=3.72, with 5.0 as most benificial). 6. Knowledge levels about exercise were realatively high(mean=3.97, with 5.0 as most knowledgeable). 7. The levels of perceived athletic ability were in intermediate range(mean=3.01, with 5.0 as highest score). 8. The levels of attitudes toward physical education were in the intermediate range(mean=3.29, with 5.0 as most favorable). 9. Among the general characteristic variables, sex, interest sports activities were related to the difference of exercise intent levels. 10. Of the predictor variables analyzed, self - esteem, perceived benifit of exercise, perceived athletic ability, knowledge about exercise and attitude about physical education correlated significantly and positively with exercise intent. Correlations of predictors with current exercise behavior were similiar to exercise intent, exept knowledge about exercise. 11. The stepwise multiple regression analysis shows findings as follows: 1) The most important factor to explain the difference of exercise intent was current exercise behavior. 2) The most improtant factor to explain the difference of current exercise behavior was perceived athletic ability.