As online fashion businesses achieve rapid growth in the last few years, they gather various kinds of customer information through customer registration procedures and expect to utilize this information for CRM programs. The purpose of this study were to understand the current practices of customer information management of online fashion companies and to discuss how to improve it for the benefit of both customers and fashion businesses. This study included three steps of empirical data collection process: First, online fashion companies were visited and content analyzed at three time periods-2002, 2003, and 2004. Second, a questionnaire was developed and surveyed with 488 customers. And third, interviews with two groups were conducted, one with customers who experienced customer registration with online fashion companies and the other with experts of web developing. Through customer registration procedures, personal and contact information such as name, citizen registration number(social security number), home address, home telephone number, and cellular phone number were most frequently required. Customers were asked to provide more specific information regarding their privacy, online behavior, and taste recently. The variety of information category in 2004 observation was larger than 2002, but the amount of required information from each company got smaller. Customers tended to provide some false infor- mation, and the most frequently cited reason for that was 'too much hassle' and 'no practical benefit from information provision'. Customers were concerned with the exposure of personal information such as citizen registration number. The ideal number of pieces of information required was identified as 3 to 5 including name, phone number, and address. The paper was concluded with the discussion of customer information management from CRM perspective, CRM program, information analysis methods, and security.
Kim, Dong Hyun;Cho, Jae Nam;Kim, Kyu-Sun;Lee, Seung Oh
KSCE Journal of Civil and Environmental Engineering Research
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v.36
no.4
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pp.627-635
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2016
Recently, several construction projects have been built to create residential area, industrial complex and agricultural land on reclaimed on- and offshore regions. Estimating the quantity of filling materials during reclamation is the most curcial factor of the total construction cost of reclamation project. However, the estimation of loss ratio, defined as the ratio of loss amount to overall dumped amount, mostly depends on the empirical methods and formulae based on the material characteristics due to the lack of sufficient literature about the loss ratio according to hydraulic conditions. In this studies the loss ratio of materials considering flow conditions and material characteristics were examined through hydraulic experiments. A series of hydraulic experiments was conducted using five different hydraulic conditions and two types of materials such as sand and anthracite in a horizontal rectangular flume ($13.0m{\times}5.0m{\times}0.10m$), in which a round type revetment was installed. It is found that the loss ratio generally tends to increase with increasing the particle Froude number regardless of the types of materials. Also, when the flow velocity(u) becomes higher than the critical flow velocity ($u_c$), the loss ratios of sand and anthracite are dramtically increased up to 7.4% and 24.4%, respectively. As a future work, more specific mean velocities will be considered to figure out the loss ratio and more accurate estimation of amount of filling materials will be possible to present with confidence.
Transactions of the Korean Society of Mechanical Engineers A
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v.35
no.3
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pp.251-257
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2011
This paper deals with the statistical properties of parameters B and q in the creep crack growth rate (CCGR) law, da/dt=B$(C^*)^q$, in Mod. 9Cr-1Mo (ASME Gr.91) steel which is considered a candidate materials for fabricating next generation nuclear reactors. The CCGR data were obtained by creep crack growth (CCG) tests performed on 1/2-inch compact tension (CT) specimens under an applied load of 5000N at a temperature of $600^{\circ}C$. The CCG behavior was analyzed statistically using the empirical equation between CCGR, da/dt and the creep fracture mechanics parameter, $C^*$. The B and q values were determined for each specimen by the least-squares fitting method. The probability distribution functions for B and q were investigated using normal, log-normal, and Weibull distributions. As far as this study is considered, it can be appeared that B and q followed the log-normal and Weibull distributions. Moreover, a strong positive linear correlation was found between B and q.
The Journal of Korean Society for School & Community Health Education
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v.3
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pp.15-33
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2002
Researchers' common findings is that there are positive or negative effect of alcohol expectancy on drinking behavior. Therefore we would effectively prevent troublesome drinking of the youth and university students by inquiring and controlling critical factors affecting alcohol expectancy. The purposes of this thesis are, first, to empirically test factors affecting the alcohol expectancy level of elementary schoolchild(potential drinker).; second, to suggest the necessity for development of pre-alcohol prevention programs. On the basis of previous research, eighteen factors included in four categories(general characters, environmental characters, alcohol knowledge, drinking experience) affecting alcohol expectancy level were found out. 623 subjects used in this study were drawn from 8 elementary schools in Daegu, Korea. The empirical results suggested that the alcohol expectancy level of elementary schoolchildren was negative in general. And it was proved that 9 factors were significantly correlated with alcohol expectancy level. To put it concretely(see Fig.), (1) It was proved that schoolchildren with bad environment(live in oneself, displeased drinking feeling) rather than good environment(live with parents, nice drinking feeling) for drinking had more negative alcohol expectancy. (2) Korean traditional culture that partakes of sacrificial food and drink have an influence on the first drinking of most elementary schoolchildren. And it was proved that schoolchildren with this drinking experience rather than any other motives had less negative alcohol expectancy. (3) It was proved that schoolchildren adapting themselves rather than being difficult in school life had more negative alcohol expectancy. And the more knowledge about alcohol or drinking schoolchildren had, the more they had negative alcohol expectancy (4) It was proved that schoolchildren having drinking experience or drinking at present rather than having no drinking experience or not-drinking at present had less negative alcohol expectancy. (5) It was proved that schoolchildren having strong drinking intention rather than having weak or no drinking intention in the future had more positive alcohol expectancy. Based on previous results, guideline for development of pre-alcohol prevention programs can be represented: discriminated programs development on educatee, drinking education programs development increasing the power of self-control about alcohol and drinking, social education or continuing education programs development on drinking, open preschool education to substantially prevent drinking or alcoholism etc. The findings, however, should be interpreted with caution, because this study has several limitations in measurement and sampling as follows. First, selection bias because of limited selection of sampling. It is because the subjects are drawn from only 8 elementary schools in Daegu. Second, less refined measurement ; Therefore, it is necessary to develop more detailed measures on alcohol knowledge, alcohol expectancy level especially. Further researches should be suggested and encouraged with more refined methodologies.
As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.
Application of the EST approach for the simulation of the risk-based typhoon hazard potential is described in this paper. For six selected cities In the Korean peninsula, EST simulations for one hundred years were performed one hundred times using historical typhoon data as a training data set. The analytical results of EST simulations were then post-processed to estimate the means, standard deviations, and ranges of variation for the maximum wind velocities and the daily rainfalls. From the comparison of the averages of the wind velocities for the 100 year recurrence interval typhoons, the wind hazard potential of them was revealed to be highest for Mokpo among the six cities, followed by Busan, Cheju, Inchun, Taegu, and Seoul in descending order For the flood hazard potential associated with a typhoon, Busan was ranked to be the highest hazard potential area, followed by Mokpo, Cheju, Seoul, Inckun, and Taegu. In terms of the overall typhoon hazard potential, cities in the southern coastal regions were identified as being exposed to the most severe typhoon hazard.
To meet needs of R&D application reinforcement on geoscience and mineral resources area, we suggest public R&D institute's strategies and system for the application including supplement of technology licensing office (TLO). We review the former studies on technology transfer successfulness criteria and difficulties from the viewpoint of korean small&medium size firms and public R&D researchers, and then benchmark a japanese public R&D institute of industrial science and technology, which was newly integrated and developed with Geological Survey of Japan (GSJ). Application analysis index and the reinforcement strategy hierarchy for R&D project are established on geoscience and mineral resources area, and applied on the prioritized research projects of KIGAM. Empirical investigation was carried out on KIGAM researchers with practical studied analysis on questionnaire and intensive interview. Result of the analysis is identified and compared with the case in Japan. It is shown that KIGAM researchers feel their technology transfer activities are not yet integrated with TLO and commercialized R&D are not cooperated with them. This study proposes industrial cooperation coordinators in the categorized R&D divisions of public R&D institute based on the different R&D characteristics and needs in R&D application strategies.
This study was carried out in order to develop and validate the Korean Version of Strengths Scale for individuals with mental illness. The first step taken to develop the scale was to construct sample items for the Strengths Scale using literature research and three focus group interviews of individuals with mental illness. Secondly, two professors of the Social welfare Department of a University and two mental social workers reviewed these sample items to select and compile a final version of the scale. Lastly, the scale's reliability and validity was verified through an empirical study of 478 individuals with mental illness who conduct the survey items. The explanatory factor was that the sample items can be grouped into seven factors. Factor 1 was 'Vocation', Factor 2 was 'Family and Social Support', Factor 3 was 'Optimism', Factor 4 was 'Resources Utilization', Factor 5 was 'Coping Behavior', Factor 6 was 'Leisure', Factor 7 was 'Health'. The Confirmatory analysis showed that the model demonstrated a goodness- of-fit. Finally, the Korean Version of Strengths Scale for individuals with mental illness was developed consisting 40 items and was proposed a mental health social work implications.
Journal of Korean Society of Environmental Engineers
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v.22
no.11
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pp.2037-2046
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2000
It has been reported that the inhibition effect of pH on activated sludge follows noncompetitive inhibition kinetics. However. the noncompetitive inhibition kinetic equation can not be directly applied to pH inhibition because of the difficulty in quantification of pH in terms of inhibitor concentration. So, many empirical equations have been developed to describe the pH inhibition effect especially for acidic condition. In this research. the pseudo toxic concentration ($C_{PT}$) concept model to quantify pH inhibition effect on activated sludge was proposed and compared to other existing models. The $C_{PT}$ concept model can explain the reduction of the maximum specific growth rate (${\mu}_{max}$) caused by the pH inhibition more accurately than any other models, at a wide range of pH. The only model parameter. $K_I$ can be easily estimated by Lineweaver-Burk linearization method.
The objective of this empirical study is to examine the mediating and moderating effects of perceived risks on the relationship between knowledge, feelings and acceptance intention towards AI. Subjects in their teens to forties were surveyed and the final sample comprised 1,969 subjects. Data were analyzed using Mediation using Multiple Regression and Moderated Multiple Regression. Results showed that people's knowledge and feelings towards AI affected their acceptance intention of AI. Results also showed that the perceived risks of AI partially mediated and moderated the relationship between feelings and acceptance intention towards AI and moderated but not mediated the relationship between knowledge and acceptance intention towards AI. Overall, these results suggest that people's perceived risks of AI are associated more strongly with their feelings towards AI than their knowledge towards AI. Implications and directions for future research were discussed in relation to increasing general population's acceptance intention towards AI.
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