• Title/Summary/Keyword: social network

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Social Network Effects on Travel Agency Employees' Occupational Outcomes: Innovation Behavior as a Mediator

  • Lee, Byeong-Cheol
    • Journal of Distribution Science
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    • v.15 no.6
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    • pp.13-24
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    • 2017
  • Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.

Food Business Marketing Strategy Through Social Network Service (소셜 네트워크 서비스를 통한 식품산업 마케팅전략)

  • Sohn, Jeong Woong;Purevjav, Solongo;Kim, Jin Ki
    • Agribusiness and Information Management
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    • v.1 no.2
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    • pp.81-94
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    • 2009
  • Recently, social network service is developing rapidly as technology changes with new mobile dimensions and features creating positive opportunities and benefits to all users and companies. Social network services are allowing companies to expand their businesses and brands by utilizing it as a marketing tool to reach customers. This research is intended to identify major online social network services and their trends while enhancing the understanding of food service business expansion through social networking.

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The Influence of Personal Social Characteristics on the SNS Adoption (개인의 사회적 특성이 소설네트워크서비스의 채택에 미치는 영향)

  • Cho, Yong-Kil
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.121-131
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    • 2012
  • The advent and growth of Social Network Services which make it possible to formulate and reinforce social relationships in the Internet has resulted in new type of social and economic phenomena. Social Network Services have developed based on the sociality and have effects on the sociality of individuals and companies. The factors affecting the adoption of Social Network Services are investigated and the influence of social network and social influence of a person on the adoption of Social Network Services are empirically tested.

Impact of Human Mobility on Social Networks

  • Wang, Dashun;Song, Chaoming
    • Journal of Communications and Networks
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    • v.17 no.2
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    • pp.100-109
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    • 2015
  • Mobile phone carriers face challenges from three synergistic dimensions: Wireless, social, and mobile. Despite significant advances that have been made about social networks and human mobility, respectively, our knowledge about the interplay between two layers remains largely limited, partly due to the difficulty in obtaining large-scale datasets that could offer at the same time social and mobile information across a substantial population over an extended period of time. In this paper, we take advantage of a massive, longitudinal mobile phone dataset that consists of human mobility and social network information simultaneously, allowing us to explore the impact of human mobility patterns on the underlying social network. We find that human mobility plays an important role in shaping both local and global structural properties of social network. In contrast to the lack of scale in social networks and human movements, we discovered a characteristic distance in physical space between 10 and 20 km that impacts both local clustering and modular structure in social network. We also find a surprising distinction in trajectory overlap that segments social ties into two categories. Our results are of fundamental relevance to quantitative studies of human behavior, and could serve as the basis of anchoring potential theoretical models of human behavior and building and developing new applications using social and mobile technologies.

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.

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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A Study on the receptivity to Social Computing in International Trade (국제무역의 소셜 컴퓨팅 수용 가능성에 관한 연구)

  • Lim, Jae-Wook
    • International Commerce and Information Review
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    • v.13 no.3
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    • pp.55-74
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    • 2011
  • Web Service applications based on the social relation such as Social Network Service(SNS), Social Medias are making strong blast. Social Computing which is widely spreading to worldwide is affecting to our life including policies, economies, societies and culture. Based on Web 2.0, various services like as Social Collaboration, Social Publishing, Social Feedback are supplied, more evolved social computing services, Social Connection, Augmented Reality, will be served for the next days from now. These network based services, Social Network Service or Social Media frequently used terms, are not defined exactly and their characteristics are not gotten to the bottom yet. Theoretical and systematic studies on these themes are not made also. Applications to business area, especially the receptivity to social computing in international trade is barely made to these days. This study focuses on the concepts, characteristics and sorts of social computing and purposes to consider its possibilities of application of social computing to international trade. Considering the advantage of Social network service, it can be used in international trade, a kind of B2B transaction, while existing social network is mainly applied to B2e transaction.

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The Effect of Social Capital on Personal Happiness: A Focus on Service Inderstry Employees

  • JUNG, Myung-Hee
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.1
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    • pp.291-299
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    • 2020
  • The purpose of this study focuses on finding the influences of social capital on personal happiness by studying service industry employees. This current study utilized a questionnaire survey method which was used to collect the analysis data, from July 20 to August 10 in 2019. 281 questionnaires were gathered in Korea and the statistical analysis was conducted. This study recognized social capital as 3 independent variables and personal happiness as a dependent variable. Social capital is composed of the social network, social trust and social norms. First, the social network consisted of the satisfaction degree in one's social relations and the social interaction degree. Second, social trust is composed of the trust degree with ones neighbors in the same local area. Last, social norms are consisted of reciprocity, participation and a sense of belonging one feels in the same society. The findings of this study were as follows: first, it was found that social network, social trust, and social norms made affirmative influences on personal happiness of the employees. Second, the social network and social norms made statistically significant influences with personal happiness, but social trust was shown to not have similar influence.

The Effects of Area-Specific Social Network on Life Satisfaction (영역별 사회연결망이 생활 만족도에 미치는 영향)

  • Chong, Hyun-Chong
    • The Korean Journal of Health Service Management
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    • v.7 no.3
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    • pp.177-192
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    • 2013
  • The present study investigated the effect of area-specific social networks on urban workers life satisfaction. For this, 356 adults over age 20 were interviewed from June 17th 2013 to June 29th 2013. The findings are as follows: First, the closeness of family network index demonstrates that participants with higher affective support have higher life satisfaction. In addition, stronger extended family network brings more life satisfaction and so does a bigger friendship network. Secondly, the extended family network explains 17.6% of the variance in social networks follows by family network, other network, and friendship network, respectively. The closeness variable of social networks yields statistical significance on all categories of networks. The affective support level in the closeness variable of social networks shows differences as well; family network positively associates with life satisfaction. The purposes of this research are to investigate the actual conditions of urban workers' life satisfaction and the influence of family, extended family, friendship, and other variables on life satisfaction. If social networks have an influence on life satisfaction, to find the domain of social networks that holds the most influences on life satisfaction is an important ground in the process of implementing regional welfare.

Proactive Friend Recommendation Method using Social Network in Pervasive Computing Environment (퍼베이시브 컴퓨팅 환경에서 소셜네트워크를 이용한 프로액티브 친구 추천 기법)

  • Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.1
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    • pp.43-52
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    • 2013
  • Pervasive computing and social network are good resources in recommendation method. Collaborative filtering is one of the most popular recommendation methods, but it has some limitations such as rating sparsity. Moreover, it does not consider social network in pervasive computing environment. We propose an effective proactive friend recommendation method using social network and contexts in pervasive computing environment. In collaborative filtering method, users need to rate sufficient number of items. However, many users don't rate items sufficiently, because the rating information must be manually input into system. We solve the rating sparsity problem in the collaboration filtering method by using contexts. Our method considers both a static and a dynamic friendship using contexts and social network. It makes more effective recommendation. This paper describes a new friend recommendation method and then presents a music friend scenario. Our work will help e-commerce recommendation system using collaborative filtering and friend recommendation applications in social network services.