• Journal of Information Technology Services
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• v.13 no.3
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• pp.275-298
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• 2014

The purpose of this study is to verify the difference between the importance level and the satisfaction level of each purchase decision factor of smart phone. Through review of literatures about purchase decision factors, we have derived about attributes of 6 factors. T-test, importance performance analysis (IPA), and regression analysis were conducted to identify priorities among the details of the importance and satisfaction and to analyze the effect relationship between satisfaction of each factor and overall satisfaction. Looking at a few high-priority order, battery capacity, memory capacity, fast and accurate repair, the adequacy of the repair cost, and processor in the top five factors were shown to be an important factor when purchasing smart phones. The results of this study can provide the marketing strategies for smart phone suppliers. In addition, these results imply what factors of smart phones should be more considered before launching into chinese smart phone market.

• Culinary science and hospitality research
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• v.5 no.1
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• pp.207-224
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• 1999

One of the most important issues faced by manager of food industry is the lack of management development program. This study on the management development program was to take a look at the training problem for the food industry of Korea through secondary data or literature, and with conceptual framework designed based on the literature review, examined what is effective management development program for manager in food industry. The purposes of this study are : (1) Identifying the factor to management development program. (2) Provision of a executive management development program. The conclusion and suggestion obtained from this study can be summarized as followed. First, it has shown that there is big difference between the present training level and future training need level on three training contents. Second, there were differences in three training contents especially according to operation type and organization size. Third, job satisfaction factor, training satisfaction factor, training aid factor, training effectiveness factor has correlated each other. From this study, we could get several strategies and programs for management development.

• The Mathematical Education
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• v.45 no.3 s.114
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• pp.251-262
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• 2006

This study investigates 628 high school students' math dislike tendencies by their math achievement levels. The findings show that, firstly, as the sample students' math achievement level decreases, the number of dislike factors increase. Secondly, students' math dislike factors are differentiated by their math achievement levels. Math high achievers show high math disliking tendency by teacher factor. Middle achievers show high math disliking tendency by complex application and relation factors. Low achievers show high math disliking tendency by comprehension factor. Finally the math disliking factors affecting the level of math achievement are influenced by schools and grades that students' attend. While math disliking factors such as comprehension factor, teacher factor, affection factor are generally present among sample schools, exceptionally JS high school students(high achieving students) are only affected by mentality factor. In addition, mentality factor affects the second grade students only. The implications of the study argue that students' math disliking tendencies could be systematically reduced by paying attention to such dependent variables students' achievement levels, grade, school characteristics, and independent variables including teacher, application, mentality, comprehension, and affection.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.93-99
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• 2022

Nowadays, learning management systems (LMS) are an effective and efficient tool for providing students with a high-quality education. The current study examines the effect of different factors on the use of the blackboard application on mobile phones. The study selects four important factors after factor analysis, such as facilitating factor, performance factor, satisfaction factor, and difficulties factor. The data was collected through a structured questionnaire from 45 students as a sample in the college of business administration at Prince Sattam Bin Abdulaziz University. The study uses a logistic regression model to examine the empirical relationship between LMS adoption and different factors associated with blackboard adoption. The results show that 71 percent of the respondents are between the age of 18-20 years, and 100 percent of students have experience in using blackboard. The empirical results show that the satisfaction factor is positive and significant at the 10 percent level of significance and the difficulties factor is also positive and significant at the 1 percent level of significance. The results conclude that the students are satisfied with using the blackboard on mobile, nevertheless, the difficulties factor which is positive and significant shows that students are facing some difficulties in using the blackboard on their mobile.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.253-262
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• 2003

Purpose: This study was carried out to identify factors influencing osteoporosis in women at pre- and post-menopausal state. Methods: The subjects of this study were 52 pre-menopausal and 125 post-menopausal women who were assessed of bone density in one general hospital. The data were collected through review of clinical records and telephone interviews using a questionnaire. Results: In the pre-menopausal women, the factors influencing osteoporosis were regular exercise (protective factor) and age (risk factor). Regression analysis showed that the factors attributable to osteoporosis included educational level, weight, age and number of pregnancy, accounted for 41.89% of the total variance. In the post-menopausal women. the factors influencing osteoporosis were age (risk factor), low educational level (risk factor), low economical state (risk factor), high parity (risk factor), and intake of coffee (protective factor). Regression analysis also showed that factors attributable to their osteoporosis included age, educational level, number of delivery, intake of the coffee, regular exercise, number of pregnancy and duration of oral pill intake, accounted for 37.41 % of the total variance. Conclusion: In pre-menopausal women, regular exercise was one of the most powerful determinant of their bone mass. Therefore, it is necessary to participate in a regular exercise program to maintain peak bone mass density prior to the onset of menopause. In post-menopausal women, increased age was the most influencing factor of their bone mass. Therefore, it is essential to establish early diagnosis and management of osteoporosis after menopause.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.2
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• pp.29-40
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• 2018

Strength design wind loads for the wind resistance design of structures shall be evaluated by the product of wind loads calculated based on the basic wind speed with 100 years return period and the wind load factor 1.3 specified in the provisions of load combinations in Korean Building Code (KBC) 2016. It may be sure that the wind load factor 1.3 in KBC(2016) had not been determined by probabilistic method or empirical method using meteorological wind speed data in Korea. In this paper, wind load factors were evaluated by probabilistic method and empirical method. The annual maximum 10 minutes mean wind speed data at 69 meteorological stations during past 40 years from 1973 to 2012 were selected for this evaluation. From the comparison of the results of those two method, it can be found that the mean values of wind load factors calculated both probability based method and empirical based method were similar at all meteorological stations. When target level of reliability index is set up 2.5, the mean value of wind load factors for all regions should be presented about 1.35. When target level of reliability index is set up 3.0, wind load factor should be presented about 1.46. By using the relationship between importance factor(conversion factor for return period) and wind load factor, the return periods for strength design were estimated and expected wind speeds of all regions accounting for strength design were proposed. It can be found that return period to estimate wind loads for strength design should be 500 years and 800 years in according to target level of reliability index 2.5 and 3.0, respectively. The 500 years basic wind speed map for strength design was suggested and it can be used with a wind load factor 1.0.

• Korean Journal of Health Education and Promotion
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• v.24 no.1
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• pp.17-28
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• 2007

Objective: To find the relevant stress factors of male and female employees. Method: The survey was collected from April 7th to May 10th in 2006 by formalized questionnaires targeted on male and female employees. The research used both quota sampling and accidental sampling to collect the data. Results: 1) It was found that relevant factors are related with ages in general traits for male employees and associated with ages, marital status and education level in general traits for female employees. In other words, age is the primary factor for both male and female employees at age 20s, and as the marital status is single and the education level is lower, the stress level is higher for female employees. 2) Occupation is the main relevant stress factor for male employees in employment traits and the period of employment, working hour and wages are relevant stress factors to the level of stress for female employees. That is to say, manufacture related job shows higher level of stress than other jobs for both male and female employees. As period of employment and working hour is shorter and wages are less, it appears to be high stress level for female employees. 3) It presents that stress level is decided based on if he exercises regularly or keeps regular hours for male employees in lifestyle aspect and it also shows drinking is an additional relevant stress factor to conclude the level of stress for female employees. So to speak, as the regular exercise is performed and regular hours are kept, it comes out low level of stress for both. In addition, it shows lower stress level from the group of female employees who do not drink than the other. Conclusion: The research is summarized that no matter what gender you are, both male and female employees should try to have a positive lifestyle. Specially, the research concludes that the regular exercise is the best way to get rid of stress.

• Journal of Korean Physical Therapy Science
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• v.15 no.1
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• pp.47-56
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• 2008

The purpose of this study was to seek for a performance level of functional independence of the long term care elderly people. This study questionnaires 160 elders with 80 in a large city and 80 in small－to－medium sized city in order to find out the functional independence of elderly people. The results of this study were as follows. 1. Functional independence level following health factor; The comparison of degrees of functional independence level between two groups showed significant difference in sanitation, drinking and smoking, eating habit, chronic disease, physical activities, and regular physical examination(P<.05). But the comparison between two groups was not showed significant difference in present treatment, regular exercise. 2. Functional independence level following Psychological factor; The comparison of degrees of functional independence level between two groups showed significant difference in health evaluation(P<.05). But the comparison between two groups was not showed significant difference in quality of life. In conclusion it is needed that stable housing, much physical activities, and diversified family members should be realized and stable livelihood security recipients to maintain and improve health of the aged and to be socially satisfied.

• Journal of Ocean Engineering and Technology
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• v.17 no.2
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• pp.54-59
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• 2003

The characteristics of the parameters for the probability distribution of fatigue crack growth life, using the non-Gaussian random process simulation method is investigated. In this paper, the material resistance to fatigue crack growth is treated as a spatial random process, which varies randomly on the crack surface. Using the previous experimental data, the crack length equals the number of cycle curves that are simulated. The results are obtained for constant stress intensity factor range conditions with stress ratios of R=0.2, three specimen thickness of 6, 12 and 18mm, and the four stress intensity level. The probability distribution function of fatigue crack growth life seems to follow the 3-parameter Wiubull,, showing a slight dependence on specimen thickness and stress intensity level. The shape parameter, $\alpha$, does not show the dependency of thickness and stress intensity level, but the scale parameter, $\beta$, and location parameter, ${\gamma}$, are decreased by increasing the specimen thickness and stress intensity level. The slope for the stress intensity level is larger than the specimen thickness.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2002.10a
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• pp.301-306
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• 2002

The characteristics of parameters for the probability distribution of fatigue crack growth lives by the non-Gaussian random process simulation method is investigated. In this paper, the material resistance to fatigue crack growth is treated as a spatial random process, which varies randomly on the crack surface. Using the previous experimental data, the crack length - the number of cycles curves are simulated. The results are obtained for constant stress intensity factor range conditions with stress ratio of R=0.2, three specimen thickness of 6, 12 and 18mm, and the four stress intensity level. The probability distribution function of fatigue crack growth lives seems to follow the 3-parameter Wiubull and shows a slight dependence on specimen thickness and stress intensity level. The shape parameter, ${\alpha}$, does not show the dependency of thickness and stress intensity level, but the scale parameter, ${\beta}$, and location parameter, ${\upsilon}$, are decreased by increasing the specimen thickness and stress intensity level. The slope for the stress intensity level is larger than the specimen thickness.