• Title/Summary/Keyword: social network sites

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The Effect of Relational Benefits and Relationship Commitment on Customer Loyalty for Social network Sites (소셜 네트워크 사이트의 사용자 충성도에 관계혜택과 사회적 영향이 미치는 영향)

  • Hong, Taeho;Ok, Seokjae;Park, Ingyong;Kim, Eunmi
    • Knowledge Management Research
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    • v.14 no.1
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    • pp.21-37
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    • 2013
  • Due to the development of social networks and smartphones, many different kinds of issues have emerged in business and society. By reflecting these trends, social network sites have appeared and they are recognized as the new concept of sites. The major feature of the social network sites is that the social relationship had been taken to the online space. Social network sites support the formation of a network and offer users the relationship between users offline as well as online. Based on the features mentioned above, users enjoy the benefits using social network sites. These social network sites in the enterprise can be used to form relationships with customers. This study identified the influencing factors as relational benefits and social influence on relationship commitment in social network sites. In addition, we analyzed that how the relationship commitment between users affects user loyalty after their using social network sites. We presented empirical results by utilizing structural equation model with 244 respondents and the significant implications for the academy and the practice with discussions.

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Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites (SNS에서 사회연결망 기반 추천과 협업필터링 기반 추천의 비교)

  • Park, Sangun
    • Journal of Information Technology Services
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    • v.13 no.2
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    • pp.173-184
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    • 2014
  • As social network services has become one of the most successful web-based business, recommendation in social network sites that assist people to choose various products and services is also widely adopted. Collaborative Filtering is one of the most widely adopted recommendation approaches, but recommendation technique that use explicit or implicit social network information from social networks has become proposed in recent research works. In this paper, we reviewed and compared research works about recommendation using social network analysis and collaborative filtering in social network sites. As the results of the analysis, we suggested the trends and implications for future research of recommendation in SNSs. It is expected that graph-based analysis on the semantic social network and systematic comparative analysis on the performances of social filtering and collaborative filtering are required.

Interactivity Framework for Analysis of Social Network Sites User's Behavior for Identification of Usability Flaws and Effective User's Experience (소셜 네트워크 사이트의 사용자 행동 분석을 통한 사용성 결점 식별 및 효과적인 사용자 경험을 위한 상호작용성 프레임워크)

  • Abduljalil, Sami;Yoon, Seok-Jin;Kang, Dae-Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.544-546
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    • 2011
  • Due to the explosive growth of online social network users, large numbers of users discover these social network sites are a place where they can be able to spend their spare time, share feelings, ideas freely, and to search for new friends or partners. These web sites give an opportunity for its users to socialize with new people and to keep in touch or reconnect with current or old friends and families across disperse continents via these web sites, which traditionally replace the traditional methods. These social network web sites need careful investigations and findings on the usability for effective interactivity and more usability. However, little research might have previously invested on the usability of these on social network web sites. Therefore, we propose a new framework to study the usability of these social network sites. We namely call our framework "Interactivity". This framework will enable us to assess the usability of the social network sites. It will provide an overview of the user's behavior while interacting in these social network web sites. Measurement of the interactivity will be measured using Camtasia software. This software will entirely capture the interactivity of users including the screen and the movements, which the screen and the motion of the user action will undergo to analysis at the end of our research.

Study of Social Network Site Interactivity to Identify and Avert Usability Flaws for Effective User's Experience

  • Abduljalil, Sami;Hwang, Gi-Hyun;Kang, Dae-Ki
    • Journal of information and communication convergence engineering
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    • v.9 no.3
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    • pp.325-330
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    • 2011
  • Due to the wide growth and popularity of social network website, large numbers of users discover these social network sites are a place where they can be able to spend their leisure time sharing interests, sharing ideas freely, sharing personal experience, and also to search for new friends or partners. These websites give an opportunity for its users to socialize with new people and to keep in touch or reconnect with current or old friends and families across disperse continents, which traditionally replace the common traditional methods. These social network websites need accurate and careful investigations and findings on the usability issues for effective interactivity and more usability. However, little research might have previously invested on the usability of these social network websites. Therefore, we propose a new framework to study and test the usability of these social network sites. We namely call our framework "Interactivity". This framework will enable developers to assess the usability of the social network sites. It will provide an overview of the user's behavior while interacting in these social network websites. Performance of the framework will be performed using Camtasia software. This software will entirely capture the interactivity of users including the screen and the movements, which the screen and the motion of the user action will undergo to analysis at the end of our research.

Posting RFM Model for Evaluating the Member Loyalty in Social Network Sites (소셜 네트워크 사이트 회원 충성도 평가를 위한 Posting RFM 모델)

  • Li, De-Kui;Ha, Byung-Kook
    • Journal of Service Research and Studies
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    • v.1 no.1
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    • pp.49-60
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    • 2011
  • Recently, with the growing of social network sites, people's choice is also getting more and more. So the notion of loyalty has become an important construct within the Social Network framework because of member is easy switching on the social networking sites. Despite the increasing importance of social network sites loyalty question, there's very little research in this area. In electronic commerce, the website loyalty development process is based on both website satisfaction and website trust toward the net-enabled business. But how to target the members with high or low loyalty in the social network sites is still a question. In this paper we propose one improved RFM model to evaluate the member loyalty to find the potential members for improving the service quality of the social network site. In addition, an empirical case study is performed to demonstrate how this procedure works. Moreover, further applications of this research are provided for improved social network sites experiences and how to use the model to practice.

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TV SNS Service for Social Network Platform (Social Network Platform을 위한 TV SNS 서비스)

  • Park, Jung-Hoon;Lee, Hyun-Joo;Yeon, Seung-Ho;Sohn, Jin-Soo;Jeon, Byeung-Woo
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.268-271
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    • 2009
  • In this paper, we analyze social network status and suggest TV SNS Service. According to alexa.com's recent chart, there are three SNS sites (facebook, myspace, twitter) in global top 20 sites. SNS usage has increased dramatically. Recently many SNS are growing up by opening their platform that make it easy to develope new services and functions by third party developers. KT is implementing open platform that is support Widget and SNS service. And Recently Social TV comes into the spotlight. Social TV is combination of social media and TV contents. It is enable to exchange emotion and opinion by communication with other people when watching Video contents. We propose TV SNS Service that provides various services by using advantage of SNS system and Social TV.

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Web Accessibility Evaluation of Social Network Sites (소셜 네트워크 사이트의 웹 접근성 평가)

  • Han, Hyuk-Soo;Kim, Cho-Yi
    • Science of Emotion and Sensibility
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    • v.12 no.4
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    • pp.481-488
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    • 2009
  • The SNS(Social Network Service or Social Network Sites), the concept which came along with the Web2.0 is on-line service which focuses on building social network communities of people which used to be established off-line. Foreign SNS sites such as Facebook, MySpace and Twitter and domestic SNS sites such as Cyworld, Me2Day are getting popularity continuously and became one of the most important application in internet environments. Since these SNS sites have the purpose of providing infrastructure which enable all the people to share his/her interests with all the other people, it is necessary to appraise whether these sites provide convenient interfaces with proper accessibility to handicapped people and old people who are considered having difficulties in using internet. Web accessibility refers to the practice of providing equal access to people of all abilities and disabilities. If the web accessibility of a SNS site is so low that handicapped people and old people cannot use it properly, those gaps between user groups may become social problems. Therefore, the paper appraised web accessibility of Facebook and Cyworld using automatic tool, KADO-WAH 2.0 and Standard guideline, WCAG 2.0 and suggested the improvement opportunities based on the results of the appraisal.

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Effects of Switching Costs on Loyalty to Social Network Sites: Resource Based Approach

  • Namn, Su-Hyeon;Jung, Chul-Ho
    • Journal of Digital Convergence
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    • v.9 no.1
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    • pp.25-36
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    • 2011
  • This paper examines user's loyalty to social network sites (SNS) from switching costs (SC) incurred by both technology and social factors. We propose a research model specifying that the perceived values of resources of the factors affect the SC and the SC determine user's loyalty. Empirical results show that technology variables of ease of use and privacy controllability, and social variables such as network size, usefulness of SNS activities, and awareness of network status have significant effect on SC. In particular, ease of use is negatively associated with SC. Since it is shown that in overall the impact of social factors is stronger than that of technology factors, we can interpret that technological superiority itself does not lead to the success of SNS. Contributions of this paper are: 1) application of SC in SNS research from the resource based perspective, which can be used for developing strategies of sustainable SNS, and 2) provision of different perspective toward the variable of ease of use, which has been considered an important factor of technology acceptance.

Online Social Network Interactions: A Cross-cultural Comparison of Network Structure on McDonald's Facebook Sites between Taiwan and USA

  • Chang, Hui-Jung
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.4
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    • pp.5-26
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    • 2017
  • A cross-cultural comparison of social networking structure on McDonald's Facebook fan sites between Taiwan and the USA was conducted utilizing the individualism/collectivism dimension proposed by Hofstede. Four network indicators are used to describe the network structure of McDonald's Facebook fan sites: size, density, clique and centralization. Individuals who post on both Facebook sites for the year of 2012 were considered as network participants for the purpose of the study. Due to the huge amount of data, only one thread of postings was sampled from each month of the year of 2012. The final data consists of 1002 postings written by 896 individuals and 5962 postings written by 5532 individuals from Taiwan and the USA respectively. The results indicated that the USA McDonald's Facebook fan network has more fans, while Taiwan's McDonald's Facebook fan network is more densely connected. Cliques did form among the overall multiplex and within the individual uniplex networks in two countries, yet no significant differences were found between them. All the fan networks in both countries are relatively centralized, mostly on the site operators.