• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5601-5613
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• 2011

The purpose of this paper is to better understand the socio-economic differentials of Internet access and use. Data from '2008 Korean Internet usage behavior' were used to conduct logistic regression analysis. The findings show that there are significant socio-economic(age, gender, educational attainment, employment situation, and Internet access type) disparity in Internet access(Internet access at home, broadband Internet access). Also socio-economic variables enter in as statistically significant in most specifications for Internet use intensity (Intensive internet use, frequent internet use, less frequent internet use). The gender, household income and education attainment explanations for large differential in Internet use intensity are generally very similar. It is shown that age, education attainment and household income level cause a large digital divide on Internet service use(information use, communication and community use, e-commerce use, Internet banking use).

• ETRI Journal
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• v.28 no.1
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• pp.67-76
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• 2006

This study aims to identify the factors that influence adoption intentions towards portable Internet service, based on the individual characteristics that assist in creating markets and developing strategies. Two types of factors are defined: individual characteristics including demographics, existing services usages, prior knowledge, adoption attitudes, and service evaluations; and adoption intentions including the willingness to subscribe, subscription term, willingness to pay, usage type, and preferred terminal. The results indicate that the importance of demographic variables depends on adoption intentions, and that users of mobile Internet service and wireless LAN are probably targets for portable Internet service. Furthermore, the results demonstrate the need for an enhanced perception of the usefulness and ease of use of service, as well as an intensive marketing activity for potential users and a bearable innovation to stimulate the market for portable Internet service.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.4
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• pp.12-18
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• 2018

As of 2016, the cremation rates in the capital area are 91.2% in Incheon Metropolitan City, 87.5% in Seoul Special City, and 87.1% in Gyeonggi-do Province, of which Incheon has the highest rate, and cremation of general corpses through the online cremation reservation service of the funeral information system is continuously increasing every year. And as of 2017, the ratio of the cremation for those outside the jurisdiction (residents of other regions) among the users of public cremation establishment in Incheon, is about 32%. As the supply capacity is expected to reach the limit within several years due to the increase in demand for such a cremation facility, I would like to suggest a policy as follows. The expansion of cremation supply capacity by increasing the number of operations in the cremation furnace; The attractions of operating funds through contracts for joint use of the cremation facility with other local governments and investment funds for the expansion of cremation facilities; The plan for controlling the demand in cremation such as an increase in cremation charge for those outside the jurisdiction(residents of other regions), should be considered.

• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Archives of design research
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• v.14 no.3
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• pp.107-116
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• 2001

Despite young age, Internet, as new advertising media, is actively studied worldwide. In 1995, the department of multimedia-related study was first founded in Technical Institute and has carried out the On Internet banner, user is not an object to accept only a message but has a specification to contact with banner actively having various motivation and desire. Internet advertising has various types but banner and e-mail type advertising are main stream. In the view point of recognition and concern rate, banner is very effective because it does not set limit to specific target, but is shown to unspecific audience. Acceding to studies, usage frequency and effect of e-mail type advertising is growing up. And e-mail type advertising is more active because it can target specific audience with various life style. If we can say banner is not so effective in spite of simply good exposure frequency, we can find theoritical background that e-mail type advertising is more effective internet advertising media because high click frequency. And we suppose that this study can be a guide line for measuring process of Internet advertising effect.

• Korean Journal of Human Ecology
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• v.12 no.2
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• pp.225-236
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• 2003

The purposes of this study were to promote the consumer's recognition on the internet purchase of fashion products and to provide useful information which would help web-site plan design, product composition, and service of internet shopping mall. The subjects were consisted of 693 students who had experiences of the accesses to internet fashion shopping mills or experiences of purchasing through internet in Cheongju and Daejeon region. Data were analyzed by factor analysis, frequency, percentage, mean, standard deviation, t-test, ANOVA, and LSD. The Results were as follows: 1. Merit factors of the internet shopping were found to be shopping convenience and pursuit of product information. Whereas, demerit factors of the internet shopping to be complexity of order, delivery, functional and economic riskiness, and services. 2. Gender was the only factor differentiating the level of recognition toward the internet fashion shopping mall. And the level of recognition also showed significant differences according to period, time, purpose of access, type of shopping mall, purchase experience, and average purchase price.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.56-64
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• 2020

This paper is a follow up to the previous study which reveals that smartphone users are divided into three subcategories according to their usage characteristics. In this paper, these groups are called as 'general', 'entertainment', and 'work-assistant', taking into account their respective characteristics. The 'general' is a group whose smartphone usage characteristics are not focused on a specific purpose, the 'entertainment' is focused on music, internet, SNS, picture, and e-banking, and the 'work-assistant' is on work, GPS, diary. Inter-relation between the importance and satisfaction for the purchase determinants to the groups is investigated. In addition, Kano analysis of quality attributes is also performed, which includes quality type, satisfaction/dissatisfaction index, and PCSI (Potential Customer Satisfaction Improvement) index. The analysis result are as follows. Firstly, inter-relation between importance and satisfaction differs by user group. 'Internet', 'Ease of use', and 'Performance' purchase determinants are evaluated as competitive determinants in 'work-assistant' user group. Secondly Kano quality types of quality characteristics also differs by user group. 'Application' was classified as an attractive (A) types to 'entertainment' group and so on. 'Internet' 'Failure/Bug', 'Touch response rate' and 'Charging' are located in 'Nice' Region of S-PCSI Diagram and have to be considered as strategic quality characteristics. The results of this study is expected to give some helps in establishing a customer tailored quality strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.974-987
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• 2018

This paper presents a novel and efficient data transmission scheme based on mobile edge computing for the massive IoT environments which should support various type of services and devices. Based on an accurate and precise synchronization process, it maximizes data transmission throughput, and consistently maintains a flow's latency. To this end, the proposed efficient software defined data transmission scheme (ESD-DTS) configures and utilizes synchronization zones in accordance with the 4 usage cases, which are end node-to-end node (EN-EN), end node-to-cloud network (EN-CN), end node-to-Internet node (EN-IN), and edge node-to-core node (EdN-CN); and it transmit the data by the required service attributes, which are divided into 3 groups (low-end group, medium-end group, and high-end group). In addition, the ESD-DTS provides a specific data transmission method, which is operated by a buffer threshold value, for the low-end group, and it effectively accommodates massive IT devices. By doing this, the proposed scheme not only supports a high, medium, and low quality of service, but also is complied with various 5G usage scenarios. The essential difference between the previous and the proposed scheme is that the existing schemes are used to handle each packet only to provide high quality and bandwidth, whereas the proposed scheme introduces synchronization zones for various type of services to manage the efficiency of each service flow. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of throughput, control message overhead, and latency. Therefore, the proposed ESD-DTS is very suitable for upcoming 5G networks in a variety of massive IoT environments with supporting mobile edge computing (MEC).

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.197-215
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• 2017

Researchers often cite Internet-based information as references for their research papers, and the amount of this type of citation has continued to grow, which resulted in the increased significance of Internet-based academic resources. This study first examines the current trend of citing Internet-based resources in the academic communication process of all academic fields, and then attempts to analyze the factors, such as gender and age, affecting this trend and its consequences in the specific area of LIS in Korea. For this, the author adopt both citation analysis and statistical analysis as research methods. Overall increase of citing internet-based resource is confirmed in all academic fields. Specific analysis of the LIS field revealed that gender is related with the degree of usage, and the age with whether or not adopting this type of citation. Meanwhile, the subject area of the researchers is related with both whether or not adopting this method and the degree of it. This study provides understanding current status of increased utilization of Internet-based resources in academic communications, and further makes suggestions for the effective academic communication of the future.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.55-60
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• 2020

Adaptive recommendation systems have been developed with big data processing as a system that provides services tailored to users based on user information and usage patterns. Deep learning can be used in these adaptive recommendation systems to handle big data, providing more efficient user-friendly recommendation services. In this paper, we propose a system that uses deep learning to categorize and recommend tourism types to suit the user's personality. The system was divided into three layers according to its core role to increase efficiency and facilitate maintenance. Each layer consists of the Service Provisioning Layer that real users encounter, the Recommendation Service Layer, which provides recommended services based on user information entered, and the Adaptive Definition Layer, which learns the types of tourism suitable for personality types. The proposed system is highly scalable because it provides services using deep learning, and the adaptive recommendation system connects the user's personality type and tourism type to deliver the data to the user in a flexible manner.