• Journal of Fashion Business
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• v.22 no.6
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• pp.83-93
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• 2018

The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.4
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• pp.149-165
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• 2002

This study establishes key factors on ISM (Internet Shopping Mall) performance in Korea. The four factors are derived from the relevant literature and clarified the concept of ISM characteristics, customer characteristics, ISM evaluation level. and perceived risks by distinguishing between its components and determinants. ISM performance indicators were derived from the previous studios classifying by ISM attitude and ISM usage. We examine on the impact of ISM characteristics and customer characteristics on the ISM evaluation level, then its level and perceived risks on the ISM performance. Hypotheses on four factors of ISM performance were tested for 172 respondents. Results indicate that four factors may partially serve as key predictors on ISM performance. ISM characteristics and customer characteristics was found to be positively influenced on ISM evaluation level, and its level also positively affected on ISM performance while perceived risks negatively affected on ISM performance.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.35-48
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• 2021

This study is an attempt to establish a model and identify the relationship between the individual characteristics of college students, Internet usage characteristics, exposure to pornography, and anti-social sexual perception. The subjects of the study were 360 college students aged 18 or older in B city, and the collected data were analyzed using the IBM SPSS 21.0 and AMOS 22.0 programs. The goodness-of-fit index of the modified model met the acceptance criteria (𝛘²/df=2.786, GFI=.95, AGFI=.92, SRMR=.06, RMSEA=.07, NFI=.89, CFI=.93, TLI=.90). According to the results of path analysis, the variables that directly affect anti-social sexual perceptions of college students were personal characteristics and exposure to pornography, and the variable with indirect effect was the Internet usage characteristics. The biggest direct effect on anti-social sexual perception was exposure to pornography, and it was confirmed that exposure to pornography was directly affected by personal characteristics and Internet usage characteristics. Therefore, in order to reduce anti-social sexual perceptions among college students, measures should be taken to control personal characteristics and Internet usage characteristics that directly affect the level of exposure to pornography.

• Journal of the Korean housing association
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• v.16 no.6
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• pp.9-19
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• 2005

It is possible to explain the design, the meaning, and the use of domestic space by comparing different cultures. The characteristics of Koreans' housing life living in western cultures has already been studied extensively. Because of political reasons, however, the characteristics of Koreans' housing life living in Chinese culture has hardly been studied at all. The purpose of this study was to find out the characteristics of succession and transformation of domestic housing culture. The data was collected by questionnaire methods from fifty Korean households and eleven Chinese households. Individual interviews and actual surveys, including taking pictures were also used for data collection. The results of this study were as follows (1)An analysis of heating system usage behaviors showed the importance of heated floors, known as Ondol, is one of the enduring characteristics of domestic habits. (2)In the sitting style, the traditional sitting on the floor was shown in living room. (3)Regarding room usage behavior, Korean households were centered around the living room in chinese houses. (4)An analysis of space organization preferences with respect to common spaces revealed that Korean households tend to prefer the open plan of common spaces.

• Journal of the HCI Society of Korea
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• v.7 no.2
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• pp.1-10
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• 2012

Past studies in HCI explained the cultural characteristics of individual users by generalizing them at the country-level. However, since the usage of devices or online services, which are main research subjects for the HCI field, are personal, cultural categorization by countres may have limitations in explaining the personal behavior. This is because cultural characteristics of individuals may vary even within the same country; moreover, in may vary depending on the product of usage. Therefore, this exploratory study aims to suggest that there may be differences in cultural characteristics not only between countries but also between individuals and product of usage.

• Journal of Soil and Groundwater Environment
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• v.22 no.5
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• pp.13-22
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• 2017

Accurate assessment of agricultural groundwater usage is an essential task to cope with drought that occurs irregularly in time and location. In this study, the agricultural groundwater usage was calculated in nationwide public wells (1,386 bedrock wells) during 5-year period (2010-2014) by using electric power consumption and well specification data. National average of agricultural groundwater usage per each well was estimated as $66.2m^3/day$, corresponding to 21.6% of total permitted volume of groundwater in each well. Chungcheong Nam-do had the highest usage with 38-55.6%. The value increased to 58.1% when the total permitted volume was based upon the supply standard against drought, and the value reached 100% in Chungcheong Nam-do. In Ganghwa distirct that suffered from severe drought in recent years, the average groundwater usage was 61.4%. In 2014, when the drought was the most severe with 45% precipitation of the average annual rainfall, the nationwide usage was turned out to be 25.6%, indicating about 4% higher than average agricultural groundwater usage 21.6%. Therefore, the quantitative assessment of groundwater usage in this study signifies that adequate use of groundwater is crucial to cope with agricultural drought.

• Information Systems Review
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• v.8 no.1
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• pp.125-139
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• 2006

Recently, as mobile internet users grow rapidly, mobile internet companies are experiencing a fierce competition to capture new customers. Under this business environment, they try to identify factors that make people use mobile internet in order to satisfy customers by providing better and diversified services. There has been enormous effort to analyze customers' behavior in choose and use mobile internet services. However, there is no one best methodology to identify factors to attract customers yet. Thus, the study applied the flow construct proposed by Csikszentmihalyi(1977) and expanded by Hoffman and Novak(1996) to identify environmental factors of internet which has impact on users' mobile internet usage. To implement the study, the following activities have been done: literature reviews on service acceptance model and flow structure, questionnaire survey, suggestion of the flow model on mobile internet, and hypothesis test. For the study, 242 out of 307 samples collected were statistically analyzed using SPSS 10.0, AMOS 4.0 statistics package. The findings of this study are as follows: First, mobile internet environment factors influencing on challenge of flow antecedent were media characteristics(use of convenience, transmission quality), contents characteristics(uniqueness, timeliness, simplicity). Second, mobile internet environment factors influencing on skill of flow antecedent were contents(uniqueness, timeliness, simplicity), charge(definiteness and diversity of charge), usage(security, instant connectivity). Third, challenge of flow antecedent had a significant effect on flow of mobile internet usage. But it was not statistically significant that skill has an influence on flow. This study discovered the relationship between mobile internet environment factors(media characteristics, contents characteristics, charge characteristics, usage characteristics) and flow experience of mobile internet users which would be a valuable insight for marketing strategies. Results shows that challenge of flow antecedent have a significant impact on flow experience in mobile internet environment. Additional, media characteristics, contents characteristics of mobile internet environment factors is positively correlated with challenge of flow antecedent. In other words, mobile internet companies should provide customers with diverse service and take a challenging attitude to get customers show aggressive attitude in mobile internet usage.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.95-112
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• 2015

Spread of internet service had a huge effect on usage and spread of SNS world widely. Variety of the service has increased from human network managing to commerce, education, payment method and so on. Also, it is expanding its service territory to not only PC area but also that of mobile equipment with development of information technology. Spread of use on SNS provides existing corporations the expansion of service area. Late SNS starter companies are advancing in diverse way for attracting users by serving shopping, games and other services with association with SNS. Therefore, analysis on consumers' thought and pattern which analyze users' demand, service's function and contents and other factors in order to reflect on plans and operations of SNS is needed. On this perspective, this research is suggesting properties that are crucially related to sustained usage of SNS and study factors of SNS's characteristics that influence trust and satisfaction on SNS and continuous usage intent of SNS.

• Journal of the Korean Home Economics Association
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• v.41 no.4
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• pp.45-56
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• 2003

The purpose of this study was to segment consumers based on sales promotion orientation and examine the differences between the consumer segments on shopping behaviors and promotion usage behaviors. A total of 462 responses collected from a questionnaire survey to subjects aged over 20s were analyzed. Cluster analysis on sales promotion orientation identified four groups including rational group(21%), active group(28％), insensitive group(22.1%), and interest group(28.9%) of sales promotion. ANOVA revealed significant differences among the four groups on shopping behaviors(information seeking, store visit, and clothing purchase) and promotion usage behaviors(the usage level of sales promotion, impulse buying, brand switching, and store switching). The active and interest groups were more actively seeking information than the other two groups were. The active group was most affected by sales promotion showing the highest impulse buying and brand and store switching behaviors, and the interest group was most active on store visit and clothing purchase. The insensitive group was the least engaged in all the behaviors.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.1
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• pp.40-53
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• 2021

Recently, shared dockless e-scooter usage has rapidly increased, rather than the station-based shared mobility service, because of convenience. This transition leads to new social problems in urban areas such as increased traffic accidents and hindrance of pedestrian environments. In this study, we analyze the usage characteristics of shared e-scooters in Seoul, and identify factors influencing demand for shared e-scooters by developing a negative binomial regression model. As a result, the usage characteristics show that the average trip distance, the average trip duration, and the average trip speed were 1.5km, 9.4min, and 10.3km/h, respectively. Demographic factor, transport facility factors, land use factors, and weather factors have statistically significant impacts on demand for shared e-scooters. The results of this study will be used as basic data for suggesting effective operation strategies for areas with higher shared e-scooter demand and for establishing transport policies for facilitating shared e-scooter usage.