• 디지털산업정보학회논문지
• /
• 제10권1호
• /
• pp.61-71
• /
• 2014

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

• Journal of Information Technology Applications and Management
• /
• 제22권1호
• /
• pp.17-36
• /
• 2015

Many companies are now trying to utilize SNS (social network service) by building it as marketing communication platform that delivers marketing messages and builds customer relationship. This study investigates the factors affecting consumers' intention to use of brand's SNS identity page (e.g., fan page in Facebook). It specifically focuses on four social support functions -self-esteem, informational, emotional and social networking support-in virtual space. Research model attempts to explore the impact of social supports on brands' SNS identity page adoption with modified technology acceptance model which includes perceived usefulness, ease of use and enjoyment. Empirical study adopts SEM (structural equation modelling) to test research model. The result indicates that perceived ease of use is influenced by informational support, and perceived usefulness is influenced by informational, emotional, and self-esteem support. And perceived enjoyment is influenced by emotional support. In addition, it reveals that there were no significant effects of social networking support on both perceived usefulness and enjoyment. These findings provide managerial implications for attracting potential and actual customers to brand's SNS identity page. And it also suggests the importance of managing sociability in brand's SNS identity page to make it as marketing communication platform.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제15권6호
• /
• pp.2069-2085
• /
• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• Asia pacific journal of information systems
• /
• 제22권2호
• /
• pp.39-69
• /
• 2012

With the advent of communication technologies including electronic collaborative tools and conferencing systems provided over the Internet, virtual collaboration is becoming increasingly common in organizations. Virtual collaboration refers to an environment in which the people working together are interdependent in their tasks, share responsibility for outcomes, are geographically dispersed, and rely on mediated rather than face-to face, communication to produce an outcome. Research suggests that new sets of individual skill, knowledge, and ability (SKAs) are required to perform effectively in today's virtualized workplace, which is labeled as individual virtual competence. It is also argued that use of online social networking sites may influence not only individuals' daily lives but also their capability to manage their work-related relationships in organizations, which in turn leads to better performance. The existing research regarding (1) the relationship between virtual competence and task performance and (2) the relationship between online networking and task performance has been conducted based on different theoretical perspectives so that little is known about how online social networking and virtual competence interplay to predict individuals' task performance. To fill this gap, this study raises the following research questions: (1) What is the individual virtual competence required for better adjustment to the virtual collaboration environment? (2) How does online networking via diverse social network service sites influence individuals' task performance in organizations? (3) How do the joint effects of individual virtual competence and online networking influence task performance? To address these research questions, we first draw on the prior literature and derive four dimensions of individual virtual competence that are related with an individual's self-concept, knowledge and ability. Computer self-efficacy is defined as the extent to which an individual beliefs in his or her ability to use computer technology broadly. Remotework self-efficacy is defined as the extent to which an individual beliefs in his or her ability to work and perform joint tasks with others in virtual settings. Virtual media skill is defined as the degree of confidence of individuals to function in their work role without face-to-face interactions. Virtual social skill is an individual's skill level in using technologies to communicate in virtual settings to their full potential. It should be noted that the concept of virtual social skill is different from the self-efficacy and captures an individual's cognition-based ability to build social relationships with others in virtual settings. Next, we discuss how online networking influences both individual virtual competence and task performance based on the social network theory and the social learning theory. We argue that online networking may enhance individuals' capability in expanding their social networks with low costs. We also argue that online networking may enable individuals to learn the necessary skills regarding how they use technological functions, communicate with others, and share information and make social relations using the technical functions provided by electronic media, consequently increasing individual virtual competence. To examine the relationships among online networking, virtual competence, and task performance, we developed research models (the mediation, interaction, and additive models, respectively) by integrating the social network theory and the social learning theory. Using data from 112 employees of a virtualized company, we tested the proposed research models. The results of analysis partly support the mediation model in that online social networking positively influences individuals' computer self-efficacy, virtual social skill, and virtual media skill, which are key predictors of individuals' task performance. Furthermore, the results of the analysis partly support the interaction model in that the level of remotework self-efficacy moderates the relationship between online social networking and task performance. The results paint a picture of people adjusting to virtual collaboration that constrains and enables their task performance. This study contributes to research and practice. First, we suggest a shift of research focus to the individual level when examining virtual phenomena and theorize that online social networking can enhance individual virtual competence in some aspects. Second, we replicate and advance the prior competence literature by linking each component of virtual competence and objective task performance. The results of this study provide useful insights into how human resource responsibilities assess employees' weakness and strength when they organize virtualized groups or projects. Furthermore, it provides managers with insights into the kinds of development or training programs that they can engage in with their employees to advance their ability to undertake virtual work.

• 한국인공지능학회지
• /
• 제12권1호
• /
• pp.7-16
• /
• 2024

This study aims to explore driving factors of Artificial Intelligence application for city marketing strategy with perspectives of millennials and generation Z. This study proposed the following research questions: i) how perceived place branding factor, public service factor, affective factor, immersive experience factor, cognitive factor, cost benefit factor, social networking factor, and promotional value factor affect attitude toward AI application for city marketing; and ii) how attitude affect satisfaction and prospect toward AI application for city marketing? This study conducted an online survey with the assistance of a well-known research agency and applied factor and regression analysis to test hypotheses. The results found that effects of place branding, cognitive, social networking, and promotional value affect attitude significantly in the case of millennials, while effects of public service, affective, cost benefit, social networking, and promotional value affect attitude significantly in the case of generation Z. The results found that effects of attitude on satisfaction and prospect of AI showed significance. The results provide implications and different aspects for AI application of city marketing strategy with perspectives by generations, while millennials and generation Z perceived effects of promotional value as the most significant factor for AI application of city marketing strategy.

• 한국IT서비스학회지
• /
• 제13권2호
• /
• pp.1-17
• /
• 2014

Social networking service (SNS) is a service that allows people to share information, manage relationships with others, and express themselves on the Internet. The number of SNS users have increased explosively with the growth of mobile devices such as smartphones. As the influence of SNS has grown extensively, potential threats to privacy have also become pervasive. The purpose of this study is to empirically examine the main factors that affect users' intentions to use security functions provided by their SNS. The main theories for this study include the rational choice theory and the theory of planned behavior. This study has identified the factors that affect intention to use security functions. In addition, security function awareness and information security awareness are found to be important antecedents for intention to use security functions. The results of this study implies that when SNS providers develop security policies, they should consider the ways to improve users information security awareness and security function awareness simultaneously.

• 한국IT서비스학회지
• /
• 제12권4호
• /
• pp.145-164
• /
• 2013

With the rapidly expanding social network service, the distribution of information shows that social networks have evolved into platforms of communication and new information sharing among users. Previous studies are focused on the motivational factors of information sharing through social networking service. However, in this study, we focus on the factors that affect intention to share information in terms of both user's psychological motivation and functional characteristics of social network service. This study shows that factors such as enjoyfulness, image, identity and communication positively affect the attitude and intention of information sharing.

• 디지털융복합연구
• /
• 제14권10호
• /
• pp.137-145
• /
• 2016

스마트기기 대중화에 따른 소셜 네트워크 서비스의 폭발적인 증가로 온라인상의 관계와 활동이 오프라인상의 실생활까지 영향을 미침에 따라 온라인상의 소셜 네트워크 활동에 대한 관심과 중요성이 지속적으로 증가하고 있다. 본 연구에서는 SNS 활동에 영향을 미치는 요소를 대상(object, 사용자(User), 영향력 방향(Influence direction), 영향력 강도(Influence distance) 4가지 요소로 정의하고 SNS 사용자 상호간 영향을 유기적 관점에서 측정하는 방법을 제안하였다. 기존 영향력 측정 요소를 반응횟수, 친구의 수, 접촉횟수 등 정형 데이터와 원인시간과 반응시간의 차이, 호감도, 반응의 유형 등 비정형 데이터까지 확대하여 영향력 방향(Influence Directio)과 영향력 강도(Influence Strength or Distance)의 측정 기법을 정교화 하였다. 또한, 영향력 측정을 위한 data를 수집하고 분석하는 시스템과 facebook으로 수집한 sample data를 이용한 영향력 측정 기법 프로세스를 실험하고 구현 가능성을 설명하였다.

• 디지털산업정보학회논문지
• /
• 제9권3호
• /
• pp.31-38
• /
• 2013

The evolution of the Web from Web 1.0 to Web 2.0 has brought up new platforms as SNSs(Social Network Service) that are used by users to articulate and manage their relationships. SNSs are an online phenomenon which has become extremely popular. A SNS essentially consists of a representation of each user, his/her social links, and a variety of additional services. SNSs are increasingly attracting the attention of academic and industry researchers. What makes SNS unique is that they have a relationship with friends. The friend recommendation is one important feature of social networking services. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose an efficient data processing method for social data. We study previous researches about social score in social network service. Our ESS(Efficient Social Score) is computed by both friendship weight and score of a document that was tagged by a user's friends. Our experimental results also confirm that our method has good performance.

• Journal of Information Technology Applications and Management
• /
• 제18권4호
• /
• pp.131-148
• /
• 2011

Our work empirically investigates the cultural differences of Social Networking Service (SNS) users in China, Korea and U.S. We construct a survey questionnaire from existing literature and test it for reliability, validity, and model fit. Then we collect data and validate the cultural differences of SNS users in three nations. Our results show different rankings from existing literature in cultural dimensions about three nations. In terms of masculinity, we find China > U.S. > Korea, similar to Hofstede. In individualism, we find U.S. > Korea > China, different from Hofstede (U.S. > China > Korea). In power distance, it is shown that Korea > China > U.S., different from Hofstede (China > Korea > U.S.). Uncertainty avoidance is found that U.S. > Korea > China, lowered ranking of Korea from the top among three nations in Hofstede. We find that these outcomes would be useful in updating national culture of the three nations and for future research about cultural impacts on SNS adoption.