• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.19-25
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• 2017

In the reality that the use of the web is becoming commonplace, the general people are complaining about the inconvenience because they are not standardized when using the web site. Especially, the disabled people such as the social underprivileged classes people suffer from the inconvenience due to the web site that is not accessible. The purpose of this study is to conduct an authentication audit to obtain web accessibility certification mark on the homepage of a specific public institution. Through these practical cases, it is possible to improve the recognition of web accessibility by practitioners or managers, And suggest ways to improve the Aging existing public institution web sites. Although there are a lot of existing literature and previous researches, it is still not being newly produced because of lack of awareness of web accessibility, As a result, the users who access the web site of the public institution for the first time are much inconvenienced. In order to solve this problem, this paper compares the Korean web content accessibility guideline 2.1, revised in April 2015, and verified the effectiveness of the guidelines through web accessibility evaluation of specific public institution sites.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.403-422
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• 2015

Social media websites have continued to proliferate, and the way in which people stay connected has also evolved. The issue of user loyalty a website remains crucial given that the competition is severe. Websites need loyal users who continue to use their sites to survive and be successful. In this research, we applied self-regulation framework to investigate the factors leading to user loyalty to a social media site. In particular, the role of sense of belonging, which is a common emotional reaction to a social media site, is examined. A survey of users in a popular social media site in Taiwan was conducted. Results show that both sense of belonging and service quality have direct effect on loyalty, whereas trust affects loyalty indirectly by fostering a sense of belonging. Service quality affects loyalty through trust and sense of belonging. Notably, trust has insignificant effect on loyalty as originally proposed. Users are then classified into two groups, namely, heavy and light users, based on their usage. Among light users, service quality has no direct effect on loyalty. Therefore, sense of belonging has sole direct impact on loyalty. Both service quality and sense of belonging contribute to loyalty in users who spend more time online. Implications of this study are also discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.744-768
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• 2016

As various pieces of information can be provided through the web, schemes that provide search results optimized for individual users are required in consideration of user preference. Since the existing social search schemes use users' profiles, the accuracy of the search deteriorates. They also decrease the reliability of a search result because they do not consider a search time. Therefore, a new social search scheme that considers temporal information as well as popularities and user preferences is required. In this paper, we propose a new mobile social search scheme considering popularities and user preferences based on temporal information. Popularity is calculated by collecting the visiting records of users, while user preference is generated by the actual visiting information among the search results. In order to extract meaningful information from the search target objects that have multiple attributes, a skyline processing method is used, and rank is given to the search results by combining the user preference and the popularity with the skyline processing result. To show the superiority of the proposed scheme, we conduct performance evaluations of the existing scheme and the proposed scheme.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.384-399
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• 2015

The purpose of this study is to empirically investigate consumers' clothes shopping orientation factors and perceived risk factors affecting the purchase intention for fashion products in social commerce. For this study, questionnaires were given to 500 adults in their 20s~30s who had experience of using social commerce related to general products or services. To analyze the results of this study, we conducted descriptive analysis, factor analysis, reliability analysis, a chi-square independence test, and hierarchical regression analysis using SPSS 18.0. The results were as follows. First, social commerce users'clothes shopping orientations were classified into the pursuit of pleasure, brand, fashion innovation, trend, and utility, and the perceived risks were classified into the risks related to products, consumer service, loss of purchase opportunity, confidence in the web site, economy, and security. Second, clothes shopping orientation factors and perceived risk factors had a somewhat significant influence on the purchase intention for fashion products. Third, there was a significant difference between sexes regarding the influences of the clothes shopping orientation factors and perceived risk factors for the purchase intention of fashion products. Finally, this study aims to provide useful information for fashion companies to enable them to establish specific strategies that can influence consumers'purchase behaviors through social commerce.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.1
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• pp.193-198
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• 2011

As smartphone use has been steadily growing over the past year, social networking on the mobile phones appears to be increasing. In this paper, we propose a cross-platform mobile architecture for supporting social applications. The key design objectives for developing the proposed system include: 1) providing personalized data through filtering information which is supplied by various social applications, 2) providing a cross-platform architecture for adapting various smartphones such as Apple iPhone and Google android. We verified system design by implementing a smartphone application which displays the filtered pictures from social network services such as Flickr and Picasa.

• International Journal of Knowledge Content Development & Technology
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• v.6 no.2
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• pp.43-66
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• 2016

The primary objective of this study was to investigate the perception of informational professionals' knowledge sharing practices in social media platforms. The specific objectives of the study included learning professionals' perceptions and awareness of knowledge sharing using social media, understanding their opinions and beliefs, and gaining familiarity with and reasons for using these tools. Open & close ended web-based questions were sent out by email to the international training program (ITP) participants. Findings indicated that most of the respondents' were aware of using social media and that they used social media for knowledge sharing. Speed and ease of use, managing personal knowledge, easier communication with users and colleagues and powerful communication tool are the areas that motivated them to use it. It also stated some barriers like lack of support, familiarity, trust, unfiltered information and fear of providing information. The study was limited to the perceptual aspect of the issue, specifically from the individuals' opinions and sentiments.

• Asia pacific journal of information systems
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• v.25 no.1
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• pp.119-141
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• 2015

With the rapid spread of social media, video-sharing social media like YouTube has emerged as a consumption and distribution channel for entertainment goods such as music videos and movie trailers. In tourism research, there has been a lot of research of how the visual media such as movies and soap operas induced tourism. However, no studies have attempted to examine the role of social media as a music consumption channel and its impact on tourism. Expanding a body of media-induced tourism, we analysed the impact of video-sharing social media on music-induced tourism with a case of Korean pop music and inbound tourism to Korea. Developing a Web-crawler, we collected YouTube users' comments data on 166 Korean pop music video clips which were released from 2009 to 2012 with over 1 million view counts. Controlling many of the determinants of tourism and analysing country-by-country impact of YouTube comments with the panel data, we found that engagement of Korean pop music video clips on YouTube is a significant predictor for the flow of inbound tourists to Korea.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.1-16
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• 2019

Social media is one of the important marketing channels for companies, changing the way interacting with customers. Marketers attract participation from customers' in social media platforms by producing branded content, which helps them gain various marketing results such as brand awareness, web traffic, and sales. The number of the empirical studies on the effects of social media on marketing performance is still low although various success stories and studies have been published. In particular, IT companies are trying to attract users onto their websites with social media content and promotions; however, they regard the number of the visitors as a vanity metric, which has little effectiveness. The study examined the Effect of the site introduced via Facebook, a typical social medium, on customers' revisit. Precedent studies proved that revisit, one of forms of major visit for satisfactory results of a website, is suitable for analyzing the operational output on Facebook pages. The results of the study demonstrated that Facebook content has a positive impact on website inflows and revisits. Also, it turns out that the higher the average website visit depth reinforces the positive relationship between the rate of the inflow and that of the site revisit.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.151-163
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• 2010

It is necessary, due to changes in the information environment, to investigate problems in existing information retrieval systems. Ontologies and social tagging, which are a relatively new means of information organization, enable exploratory discovery of information. These two connect a thought of a user with the thoughts of numerous other people on the Internet. With these connection chains through the interactions, users are foraging information actively and exploratively. Thus, the purpose of this study is, through qualitative research methods, to identify numerous discovery facilitators provided by ontologies and social tagging, and to create an exploratory discovery model based on them. The results show that there are three uppermost categories in which 5, 4 and 4 subcategories are enumerated respectively. The first category, 'Browsing and Monitoring,' has 5 sub categories: Noticing the Needs, Being Aware, Perceiving, Stopping, and Examining a Resource. The second category, Actively Participating, has 4 categories: Constructing Meaning, Social Bookmarking and Tagging, Sharing on Social Networking, Specifying the Original Needs. The third category, Actively Extends Thinking, also has 4 categories: Social Learning, Emerging Fortuitous Discovery, Creative Thinking, Enhancing Problem Solving Abilities. This model could contribute to the design of information systems, which enhance the ability of exploratory discovery.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.99-108
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• 2012

Many methods had been developed to improve the accuracy of extracting information from a vast amount of data. This paper combined a number of natural language processing methods such as NER (named entity recognition), sentence extraction, and part of speech tagging to carry out text analysis. The data source is comprised of texts obtained from the web using a domain-specific data extraction agent. A framework for the extraction of information from unstructured data was developed using the aforementioned natural language processing methods. We simulated the performance of our work in the extraction and analysis of texts for the detection of organizational structures. Simulation shows that our study outperformed other NER classifiers such as MUC and CoNLL on information extraction.