• The Research Journal of the Costume Culture
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• v.25 no.1
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• pp.1-15
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• 2017

Social commerce is a kind of internet shopping mall in which consumers purchase the products with other consumers through mutual interactions including the development of SNS(social network service). Social commerce has expanded rapidly as a mainstream online shopping mall over the past five years driving consumers to purchase more fashion products providing the cheaper prices than open market internet shopping mall. The purpose of this study is to identify the important parameters of social commerce characteristics and consumer characteristics that affect repurchase intention and word-of-mouth intention. A 221 survey questionnaire was distributed to men in their 20's and 30's who live in Seoul metropolitan area. The data were analyzed utilizing Cronbach's ${\alpha}$, factor analysis, and regression analysis using the SPSS 18.0 program. The results revealed, first, that in terms of social commerce characteristics, three variables(website reputation, interactivity, and product scarcity) influenced repurchase intention. Among them, website reputation identified as the most important factor influencing repurchase intention and word-of-mouth intention. Second, with regard to consumer characteristics, interest and a tendency toward impulse buying affected the repurchase intention, and interest and internet shopping experience have influenced the word-of-mouth intention. Among three variables interest in social commerce identified as the key factor affecting both repurchase intention and word-of-mouth intention. The results of the study provide the practical implications and suggest the business strategies to enhance social commerce in the future by identifying the key social commerce characteristics and consumer characteristics that influence male consumers' buying behaviors.

• Convergence Security Journal
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• v.15 no.2
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• pp.19-24
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• 2015

As the Internet usage such as Web3.0, future internet, and internet of things increases, the big data through information exchange between the users and web servers increases. Analyzing those web data, the commercial web sites use the analytic results for marketing and campaign, and non-commercial web sites also use the results to improve the user's services satisfaction. In this paper, the quantitative index is presented to analyze the web sites, and optimized web site design method is also presented through the correlation analysis of index and significance test. From the results for 138 web sites, it is observed that strong plus(+) correlation for visits-unique visitors and page views-average visit duration exists. We also observe the minus(-) correlation between bounce rate and page views per user(or ratio of new visits). In specific, to reduce the bounce rate for users, the strategy to increase the page views and ratio of new visits rather than visits and unique visitors is needed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.275-280
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• 2013

Recently, access networking BroadBand the high performance of the video equipment to the Internet via voice, video, multimedia services, such as dealing with the media information dissemination is becoming increasingly attracting attention. More video devices and network environments in the future to keep pace with the high-quality video using the form dealing with an increasingly diversified and shall utilization is expected. Among them, video encoding technology, image compression encoding technology of information technology is one of the central role. Video coding technology that requires a vast amount of information contained in the video signal and the appropriate amount of information to eliminate redundancy as the efficiency of the digital code representing video signal is developed as a technology is going. Therefore, this study applied to video coding mode selection in the cost evaluation methods to examine and to maximize the coding efficiency and the proposed method compared to the conventional method was confirmed excellence.

• Journal of the Korean Society of Costume
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• v.58 no.1
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• pp.151-160
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• 2008

`Early adopters,` a term first used by Everett Rogers in 1957, refers to people who are among the first to try a new product and like to evaluate the product for others. Early adopters in the digital age of the 21st century, greatly influence others by exchanging information on products and writing product reviews on Internet boards. Technological products have recently been released in the fashion world to become important fashion items, and early adopters are active buyers of these products. The purpose of this study is to examine the values and characteristics of early adopters as consumers of technological fashion products, and present a standard for designing fashion products in the future. This study was based on documentary research, Internet research and in-depth interviews. Documentary research was carried out to examine the lifestyles, characteristics and consumption habits of early adopters. Internet research was done to understand the tendencies of Korean early adopters, and a total of 18 websites were studied in 7 product categories. The subjects of in-depth interviews were 6 people who were either webmasters or members of early adopter-related websites. IT field early adopters tended to pursue new technologies, and fashion early adopters placed importance on how well a person could express their own style. New, unique, useful and pretty were the key words to describe the tendencies of early adopters, and fashion early adopters preferred the latest contemporary styles. Interviewees placed most importance on price, design and function of products. Since IT related products are continuously being added on to clothes and becoming fashion products themselves, further research on technology-related fashion design would be significant.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.135-139
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• 2012

The wide diffusion of internet and the overall increased reliance on technology for information communication, dissemination and gathering have created an unparalleled mass of data. Sifting through this data is defining and will define in the foreseeable future a big part of contemporary computer science. Within this data, a growing proportion is given by personal information, which represents a unique opportunity to study human activities extensively and live. One important recurring challenge in many disciplines is the problem of people re-identification. In its broadest definition, re-identification is the problem of newly recognizing previously identified people, such as following an unknown person while he walks through many different surveillance cameras in different locations. Our goals is to review how several diverse disciplines define and meet this challenge, from person re-identification in video-surveillance to authorship attribution in text samples to distinguishing users based on their preferences of pictures. We further envision a situation where multidisciplinary solutions might be beneficial.

• Journal of Digital Contents Society
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• v.13 no.3
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• pp.469-476
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• 2012

Recently, as the smart devices such as smart phone and smart pad are becoming increasingly common, the number of the smart devices users is increasing explosively. Therefore, the mobile Internet traffic is tend to get more and more increasing, and thus it is expected that the demand for using mobile Internet traffic will be exponentially increasing annually worldwide. In addition, mobile communications operators concentrate on much efforts and investments in order to effectively solve these problems at home and abroad, and the interest on the network-based (i.e., PMIPv6-based) distributed mobility management technology, which effectively distributes the explosively increasing mobile Internet traffic, is getting larger and larger. In this paper, we address the overview and recent research trend of PMIPv6-based distributed mobility management technology, and also describe the necessity and future prospect for studying PMIPv6-based distributed mobility management technology.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.55-61
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• 2014

Various human-friendly robot services have been developed and mobile cloud computing is a real time computing service that allows users to rent IT resources what they want over the internet and has become the new-generation computing paradigm of information society. The enterprises and nations are actively underway of the business process using mobile cloud computing and they are aware of need for implementing mobile cloud computing to their business practice, but it has some week points such as authentication services and distributed processing technologies of big data. Sometimes it is difficult to clarify the objective of cloud computing service. In this study, the vulnerability of authentication services on mobile cloud computing is analyzed and mobile cloud computing model is constructed for efficient and safe business process. We will also be able to study how to process and analyze unstructured data in parallel to this model, so that in the future, providing customized information for individuals may be possible using unstructured data.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.177-182
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• 2016

Geofence is a generic concept for describing geographic aspects of PoI(Point of Interest) enabling users to proactively induce context-based actions. However there is no need to maintain continuity when you reflect geofence in case of temporary events, accidents and isolation. Therefore we propose a geofence platform so-called TemG by adding time-limited information to support PoI. The proposed geofence platform TemG ensures the persistency and continuity of geofence. Furthermore, the proposed TemG can not only provide to automatically activate or deactivate the specified geofence during a period of timestamp but also support to the basic context-aware service knowing in/out in the zone. In the near future, the proposed TemG will be need to extend HPS(Hybrid Positioning System) for IoT(Internet of Things).

• Informatization Policy
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• v.18 no.4
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• pp.103-137
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• 2011

The digital divide (DD) has been recognized as one of the most serious social and public policy issues to emerge from the rapid growth of computing facility, particularly in regard to Internet capabilities, over the past decade. In order to identify DD research trends and contributions, this research has adopted a bibliometric approach to quantitatively assess the research trends of the DD and also utilized information from related literature in the EV2 database from 2000 to 2011. The results show that the most frequently documented type of publications are journal articles, making up 55.2% of the total database of literature. English is the primary language (96.7%), and USA researchers have made the largest contribution (17.0%) to DD literature. Tokai University (Japan), Tilburg University (Netherlands), and Arizona State University (USA) rank as the top three author affiliations. Information technology, the Internet, and economic and social effects are the three top key words that appear in the related DD literature. The results also revealed various regional evidence, main topics, perspectives, frameworks, and solutions that were introduced in DD publications.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.65-75
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• 2017

Agricultural sector in Korea faces the threat of aging farmers and many other difficulties. Because agriculture is a very less-competitive industry in Korea and many solutions to improve the competitiveness of Korean agriculture should be studied. The advent of Internet of things(IoT) technology makes possible many new industries and business models in the current society. The adoption of this new technology in agriculture can bring about innovations in agricultural production and distribution as $6^{th}$ industry. This paper summarizes the opportunities in IoT and smart farm. The major benefits and obstacles in introducing smart farms are reviewed and the cases of two successful smart farms in Korea are analyzed. Through these case studies, we can recognize the current status and future strategies in Korean smart farms.