• 유통과학연구
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• 제15권6호
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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.

• Agribusiness and Information Management
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• 제1권2호
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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.

• 디지털융복합연구
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• 제10권2호
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• pp.121-131
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• 2012

인터넷 상에서 사회적 관계 구조를 형성하거나 강화할 수 있게 해 주는 기능을 지닌 소셜네트워크서비스의 출현과 성장은 새로운 형태의 사회적 경제적 현상을 유발하고 있다. 소셜네트워크서비스는 사회성을 기반으로 개발되었고 발전되고 있으며, 소셜네트워크서비스의 활용은 결과적으로 개인, 집단, 기업들의 사회성에 영향을 미치고 있다. 본 연구에서는 소셜네트워크서비스를 수용할 때 어떠한 요인들에 의해 영향을 받는 지를 파악하고, 파악된 요인들이 실제 수용의도에 어떠한 영향을 미치는 지를 실증적으로 증명하고자 하는 차원에서, 사용자의 사회적 특성인 사회적 네트워크와 사회적 영향이 소셜네트워크서비스의 수용에 어떠한 영향을 미치는 지를 연구하였다.

• Journal of Communications and Networks
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• 제17권2호
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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.

• Journal of information and communication convergence engineering
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• 제9권3호
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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.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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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.

• 통상정보연구
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• 제13권3호
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• pp.55-74
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• 2011

최근 전 세계 곳곳에서 폭발적으로 확산되고 있는 소셜컴퓨팅(Social Computing)은 정치, 경제, 사회, 문화 동 우리의 삶의 모든 영역에서 실로 지대한 영향을 미치고 있다. 웹 2.0을 기반으로 소셜협업, 소셜 퍼블리싱, 소셜 피드백 등 다양한 유형의 서비스가 제공되고 있으며, 향후 소셜 커넥션이나, 증강 현실, 위치기반서비스 등 더욱 발전된 형태의 진화된 소셜 컴퓨팅 서비스가 이루어질 것으로 기대된다. 그러나 흔히 SNS(Social Network Service), 또는 소셜 미디어 등으로 표현되는 네트워크를 이용한 이와 같은 서비스는 아직 그 정확한 개념과 특징이 구체적으로 정의된 것은 아니며, 이와 관련된 체계적인 연구도 부족한 형편이다. 특히 소셜 컴퓨팅의 비즈니스 활용, 특히 국제무역에서의 수용가능성에 대한 연구는 거의 이루어지고 있지 않은 형편이다. 본 연구는 이러한 문제 인식 하에 흔히 SNS, 소셜 미디어 등으로 표현되는 소셜 컴퓨팅(Social Computing)의 개념과 특징, 그 종류를 정리하고, 비즈니스, 특히 국제무역에서 이를 활용하는 수용 가능성에 대한 고찰을 목적으로 하고 있다.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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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.

• 보건의료산업학회지
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• 제7권3호
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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.

• 디지털산업정보학회논문지
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• 제9권1호
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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.