• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.4
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• pp.211-224
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• 2014

This study is aimed at considering the relationship between the influential factor in Smartphone purchase and consumer awareness. For this purpose, this study set up the influential factors in Smartphone purchase as advertising effect, brand effect and usability effect and corporate image effect, and considered the relationship between these influential factors and consumer awareness empirically. The research results can be summarized as following 3 parts: First, the four factors suggested as the influential factor in Smartphone purchase were verified to have a significant influence on customer satisfaction and customer loyalty, and thus, it is thought that the bigger the influence of these factors, the more customer satisfaction and customer loyalty will increase. Second, among the factors suggested as influential factors in Smartphone purchase, the biggest factor in influencing customer satisfaction was found to be 'Usability Effect' while the biggest factor in influencing customer loyalty was revealed to be 'Brand Effect.' As a result, this study could learn that it's necessary that 'Usability Effect' should be considered more preferentially than other factors in order to enhance customer satisfaction while 'Brand Effect' should be preferentially considered in orderto raise customer loyalty. Third, it can be judged that in the relationship between customer satisfaction and customer loyalty, the bigger the customer satisfaction, the higher the customer loyalty. It is hoped that such research results could be applied as useful materials in time of establishing the marketing strategy. Nevertheless, this paper makes it clear that due to the constraints in the number of sample areas and samples, there is a limit in objectifying the research results into all areas.

• Journal of Korean Society of Rural Planning
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• v.25 no.3
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• pp.77-87
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• 2019

This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

• Journal of Agricultural Extension & Community Development
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• v.16 no.4
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• pp.967-992
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• 2009

The purpose of this study is to segment the social awareness on the function of public benefit of agriculture and rural areas by socio-economic and action/attitude characteristics, and to identify the influential variables in social awareness. The nationwide survey of 1,200 adults aged over 20 was conducted, and the data was analyzed by PASW statistics 17.0. One of the awareness variables was the degree of the consent to the preservation of the public beneficial function. This variable was segmented by the interest on related information, the criteria of buying agricultural products, occupation and age. And the other awareness variable was the willingness to pay for the preservation of the public beneficial function. This variable was segmented by the education, occupation, income and the experience of living in rural areas. According to the results, some suggestions for improving the social awareness on the public beneficial function of agriculture and rural areas were discussed.

• Journal of the Korean Home Economics Association
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• v.28 no.4
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• pp.155-176
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• 1990

The purpose of this study is to investigate the influential factors to home management ability of mothers and their unmarried daughters through researching the relationship of their home management ability. It would provide the basic data for the direction of Home Economics Education. The subjects were 653, from 20 to 30 years of unmarried women and their mothers in Chonbuk province. The questionaire was used to measure their Home Management ability. The measured areas were planing, creativity, consumption management, housework, evaluation, and human relation. The question items were respectively 6 and totally 36. Spss was used for the statistic. Frequency, Percentage, Means, Standard Deviation were used for general understanding. For data analysis, F-test, Pearson Product-moment Correlation, Duncan's Multiple Range Test, Stepwise Multi-regression Analysis were used. Lastly, the research pattern was examined by Path Analysis. The results were as follows. 1. The importnat influential factors to mother's home management ability were their schooling level and their perceived socio-economic status among the general factors(age, shooling level, perceived socio-economic status) and the family atmosphere factors(monthly income, family type). 2. The important influential factors of unmarried daughter's home management ability were the monthly income of their family and the socio-economic status perceived by them, among their mother's general factors, family atmohphere factors, their own general factors(age, schooling level, perceived socio-economics status, occupation, growing place). 3. The influence of mother's home management ability on unmarried daughter's home management ability was much more remarkable than mother's general factors, family atmosphere factors and unmarried daughter's general factors.

• Economic and Environmental Geology
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• v.37 no.6 s.169
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• pp.647-655
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• 2004

To identify the influential factors and their relative significance on spatial distribution of $NO_3-N$ in urban ground water, spatial analysis was conducted using GIS and statistical approaches in the Seongnae-Koduk watersheds, where rapid urbanization has been proceeded. Several factors were considered including land-use type, distance to sewage lines, the ratio of impervious surface, and the ratio of green area. The spatial distribution of $NO_3-N$ in the land-use types shows differences between urban and crop field possibly due to the sewage networks in urban areas and the agrochemical uses in crop field. Nitrate concentrations in ground water were decreased with the distance to sewage lines to approximately 60-75 m. Concentrations of nitrate and distances to sewage lines showed negative correlation, indicating that the nitrate contamination was induced from the sewage system and specially significant in urban areas. The negative correlation of the ratio of impervious surface to the nitrate concentration in urban areas also suggested that the source materials of nitrate are introduced from the surface. Consequently, in areas of urbanization processes, systematic management of past-and-present land-use types and sewage systems are the most significant factors in preventing ground water from nitrate contamination.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.21-30
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• 2014

Lately, new influentials have secured a large number of volunteers on social networks due to vitalization of various social media. There has been considerable research on these influential people in social networks but the research has limitations on location information of Location Based Social Network Service(LBSNS). Therefore, the purpose of this study is to propose a spatial detection methodology and application plan for influentials who make comments about diverse social and cultural issues in LBSNS using spatial statistical analysis methods. Twitter was used to collect analysis object data and 168,040 Twitter messages were collected in Seoul over a month-long period. In addition, 'politics,' 'economy,' and 'IT' were set as categories and hot issue keywords as given categories. Therefore, it was possible to come up with an exposure index for searching influentials in respect to hot issue keywords, and exposure index by administrative units of Seoul was calculated through a spatial joint operation. Moreover, an influential index that considers the spatial dependence of the exposure index was drawn to extract information on the influential areas at the top 5% of the influential index and analyze the spatial distribution characteristics and spatial correlation. The experimental results demonstrated that spatial correlation coefficient was relatively high at more than 0.3 in same categories, and correlation coefficient between politics category and economy category was also more than 0.3. On the other hand, correlation coefficient between politics category and IT category was very low at 0.18, and between economy category and IT category was also very weak at 0.15. This study has a significance for materialization of influentials from spatial information perspective, and can be usefully utilized in the field of gCRM in the future.

• Journal of Information Technology Applications and Management
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• v.16 no.1
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• pp.115-135
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• 2009

As one of core technologies in ubiquitous era, interest and application of RFID is increasing. Although its' applications has been developed in various areas, actual application rate is still underestimated. Previous studies show that most of researches are focused on RFID implementation strategies, emphasizing technical advantages and benefits of RFID. To increase RFID adoption rate, however, end user's attitude about information technology has to be considered. The empirical study has been conducted to analyze user's influential factors which affect the RFID adoption. The results show that some of user's attitude about IT are valid and provide useful guide lines about RFID adoption.

• ETRI Journal
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• v.44 no.2
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• pp.232-243
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• 2022

Changes in household composition and the residential environment have had a considerable impact on the features of postal delivery regions in recent years, resulting in a large increase in the overall workload of domestic postal delivery services. In this paper, we provide complex analysis results for postal delivery areas using various unsupervised learning approaches. First, we extract highly influential features using several feature-engineering methods. Then, using quantitative and qualitative cluster analyses, we find the distinctive traits and semantics of postal delivery zones. Unsupervised learning approaches are useful for successfully grouping postal service zones, according to our findings. Furthermore, by comparing a postal delivery region to other areas in the same group, workload balancing was achieved.

• Korean Journal of Human Ecology
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• v.18 no.4
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• pp.971-984
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• 2009

The purpose of this study was to analyse the relations among the residents' characteristics, the policy of the facility, and the physical characteristics of activity areas, and to understand the elements for the lively use of activity areas in the elderly nursing facilities. The results of the study are as follows: First, there was a relationship between the characteristics of semi-public activity areas and the residents' management-control policy. The facilities having semi-public areas of living room type showed more flexibility in time and place and more respects for the residents. Second, the activity areas of connection type were much more used than the compartment type, especially in the facilities having more residents incapable of walking. On the other hand, the facilities having high control for the residents showed high using rate in public activity areas, and all those did not have semi-public areas or showed low using rate in there. Third, in the analysis of the relationship between the physical characteristics and the using rate of activity areas, the public activity areas having compartment type in the spatial composition and hall as a form were likely to have multiple usages. On the whole, the various form of activity areas, the area per residents, openness, accessibility and centrality were having interactions each other for high using rate in activity areas. Especially, many stimulations and the furniture arrangements that were good for the residents' interactions had a function of compensation for the poor physical characteristics of activity areas. This study investigated only the using rates to understand the lively use of the space. For the future study, it is suggested that the detail using behavior of the residents should be examined to understand the influential elements.

• The Journal of Engineering Geology
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• v.4 no.3
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• pp.297-309
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• 1994

For a total of 210 city and Kun areas in Korea, a model was developed to predict the amount of groundwater use at each area. At first, the total areas were classified into 3 groups by the characteristics of groundwater use: residential(87), industrial(27) and agricultural (96) areas. Among them, type areas, represented by the dominant groundwater usage for typical purposes, were selected: residential(22), industrial(8) and agricultural(32) areas. Data for the various factors possibly related to the groundwater use were statistically analyzed. The factors include, 1) agricultural area, 2) industrial area, 3) adininistrative unit area(city or Kun), 4) population, 5) groundwater capadty for community water supply, 6) average water supply for a person per day, 7) agricultural water-use, 8) industrial water-use, 9) residential wateruse, 10) rates of community water supply. The data were correlated to the total amount of groundwater use, and the correlations tested at the 95% and 99% significance levels. Influential, significantly related, factors were identified from the tests. Using the multiple regression method with the influential factors, predictive equations were drawn to calculate the amount of groundwater use for residential-industrial and agricultural areas, respectively. The equations were calibrated to minimize the RMS(root mean square) of the differences between predicted and observed groundwater use. After the validation with future data, the model can be utilized in the regional development plans to predict the maximum groundwater demand at each area.