• 한국정보시스템학회지:정보시스템연구
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• 제23권1호
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• pp.73-91
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• 2014

Microblog is emerging as a new communication service because of its usefulness and real-time accessability. Recently, microblog services, such as twitter and me2day in Korea, are getting a great attention. Continuous use intention is critical to sustain the service. However, most recent studies are based on Technology Acceptance Model(TAM) and Expectation Confirmation Model(ECM). These models are only focused on individual factors and overlook social influence factors. Social influence has been indicated as a critical factor of technology adoption and diffusion in social context(Davis, 1989; Fulk et al., 1987). In this study, we explore factors related to social influence which effect on continuous use intention for 'me2day' that is one of the most famous microblog in Korea. The purpose of this study is to understand continuous use intention and examine the relationship among social influence factors, social presence, and continuous use intention. To understand the phenomenon of continuous use intention in microblog service, this study employed social influence theory and expanded it by adding personal network exposure and group norm as additional social influence factors. The results show that social identity, group norms, and social presence positively influences continuous use intention. Contrary to our expectation, personal network exposure does not influence on continuous use intention. Academically, this research can contribute to microblog research field through elucidating the relationship among social influence factors, social presence, and continuous use intention. Although there is not enough research which is considered social influence factors as major explanation for continuous use intention, this study can give novel point of view to understand continuous use intention of microblog. Practically, service providers could consider ways to encourage users to continually use microblog service by reinforcing social influence factors and social presence.

• 한국IT서비스학회지
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• 제16권3호
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• pp.127-146
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• 2017

The convergence of e-commerce and social media have given rise to a social commerce of online group-buying. Social commerce of online group-buying is a subset of B2C (Business to Consumer) and uses social media for marketing to facilitate online buying of products and services. The social commerce of online group-buying offers new and popular products or services every day, and uses social media to bring together separated consumers. In these backgrounds, we think that personality trait associated with seeking new and popular products or services, and social influence from social media are likely to be related to intention to use in social commerce of online group-buying. This study aims to examine and analyze novelty seeking and social influence that influence intention to use in social commerce of online group-buying in China. Our research model, which included novelty seeking and social influence, was developed based on the technology acceptance model. A questionnaire survey was carried out for empirical analysis. The results of empirical analysis based on a sample of 218 users showed that novelty seeking has a significant positive impact on intention to use, and social influence has a significant positive impact on perceived usefulness. We suggested academic implications and practical implications based on our empirical research.

• Journal of Korea Trade
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• 제26권3호
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• pp.1-22
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• 2022

Purpose - Social media platforms have presented individuals with an opportunity to create and maintain their social relationship through the use of social media services. However, such social relationship has a negative influence on users' interest in social media. Design/methodology - Using structural equation modeling, this study seeks to examines the effects of different social media conflicts (individual and social conflicts) on users' psychological internal state, especially user apathetic behavior Findings - The findings confirm that, among social media conflicts, social-related conflict, especially social interaction overload has a negative effect on cognitive resonance, while individual conflict has the highest effect on cognitive dissonance. Also, cognitive dissonance has a much greater effect than cognitive resonance on user resistance, this means that users' negative perception of social media has a greater influence on their resistance. Lastly, user's resistance was found to have a positive influence on user's apathetic behavior. Originality/value - In other to capture social media Apathetic behavior, this study focus on social media conflict perspective, which includes social-related conflict and individual conflict, which are found to influence users' internal states towards social media and further induce social media behavior. This study is unique because it is among the first to explore social media apathetic behavior by focusing on the influence of both external social media conflict and internal state. Also, this study proposed that social related conflict has a higher negative influence on WeChat user than individual related conflict.

• Asia pacific journal of information systems
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• 제15권2호
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• pp.97-120
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• 2005

As information systems are introduced in organizations, user attitudes toward IS are crucial factors for the success of such systems. Hence, understanding what affects user attitudes should be a major concern in MIS research. The purpose of this study is to improve the understanding of social influence on IS adoption. Social influence construct is stretched to include four items: subject norm, image, visibility, and voluntariness. Also, this paper examines the roles of two moderators regarding social influence: user characteristics and IT maturity. We could find that 1) social influence has a significant impact on perceived usefulness(PU), perceived ease of use(PEU), and intention, 2) the social influence on PU is more noticeable for knowledge worker than for undergraduate student, and 3) social influence on knowledge worker's PU is stronger for emerging IT(e.g., wireless internet services) than for mature IT(e.g., spreadsheet software).

• 디지털융복합연구
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• 제14권10호
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• pp.137-145
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• 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.

• 한국의류학회지
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• 제35권11호
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• pp.1322-1332
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• 2011

This study investigates the influence of social desirability to questionnaire response and data analysis in order to identify the need for social desirability control in clothing consumer research. A questionnaire measuring social desirability, social face sensitivity, clothing shopping behavior, and demographic characteristics was developed. Responses of 234 respondents were analyzed using factor analysis, simple regression analysis, hierarchical regression analysis, descriptive analysis, and Cronbach's alpha analysis. The results were as follow. First, respondents were influenced by social desirability when they responded to items measuring other-conscious social face. Second, the result of regression analysis (that the independent variable was social formality) was less influenced by social desirability control because the influence of social desirability to social formality was insignificant. Conversely, the result of regression analysis (that the independent variable was other-conscious social face) was more influenced by social desirability control because the influence of social desirability to other-conscious social face was significant. This study is an initial study that notices the need for social desirability control in clothing consumer research.

• Journal of information and communication convergence engineering
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• 제16권4호
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• pp.213-220
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• 2018

With the exponential developments of social network, their fundamental role as a medium to spread information, ideas, and influence has gained importance. It can be expressed by the relationships and interactions within a group of individuals. Therefore, some models and researches from various domains have been in response to the influence maximization problem for the effects of "word of mouth" of new products. For example, in reality, more than two related social groups such as commercial companies and service providers exist within the same market issue. Under such a scenario, they called social adversaries competitively try to occupy their market influence against each other. To address the influence maximization (IM) problem between them, we propose a novel IM problem for social adversarial players (IM-SA) which are exploiting the social network attributes to infer the unknown adversary's network configuration. We sophisticatedly define mathematical closed form to demonstrate that the proposed scheme can have a near-optimal solution for a player.

• 디지털융복합연구
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• 제6권4호
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• pp.91-104
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• 2008

This study notes the growing importance of online community as a means of building customer relationships. The author aims to identify how to communicate in an online community on preannounced new products, and test social influence that influence word-of-mouth of consumers, and confirm moderate effect of market maven between social influence and word-of-mouth activity in on-line community. The main findings are that social influence such as internalization and conformity positively influence word-of-mouth communication on online community. And moderate effect of market maven confirm between social influence(internalization and confirmity) and word-of-mouth activity.

• Journal of information and communication convergence engineering
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• 제10권2호
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• pp.135-140
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• 2012

Massive numbers of users of social networks share various types of information such as opinions, news, and ideas in real time. As a new form of social network, Twitter is a particularly useful information source. Studying influence can help us better understand the role of social networks. The popularity of social networks like Twitter is primarily measured by the number of followers. The number of followers in Twitter and the number of users exposed to news media are important factors in measuring influence. We chose Twitter and the New York Times as representative media to analyze the influence and present an empirical analysis of these datasets. When the correlation between the number of followers in Twitter and the number of users exposed to the New York Times is computed, the result is moderately high. The correlation between the number of users exposed to the New York Times and the number of sections including the users on it, was found to be very high. We measure the normalized influence score using our proposed expression based on the two correlation coefficients.

• 한국의류학회지
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• 제42권6호
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• pp.962-976
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• 2018

This study examined: 1) the influence of 3 social presence types including shopping companions, other consumers, and sales associates on the consumer's purchase decision at a retail store; 2) the difference in the influence by shopping situation involving shopping together or shopping alone; and 3) the differences by consumer susceptibility to social influence and self-confidence. The study conducted three experiments with the retail shopping scenario manipulating consumer's positive self-evaluation, but lack of confidence after trying on a clothing product. Experiment 1 and Experiment 2 examined the positive influence of social presence while Experiment 3 examined the negative influence. The results showed that the positive comment of a shopping companion had the highest influence on the purchase decision. Such impact was more observable under the low susceptibility to normative influence. The negative comments of sales associate and shopping companion lowered the purchase decision. There was no difference by shopping situation. The results imply that influences of social presence on the consumer's purchase decision are different by positive or negative comments and such influences are not different by shopping situation.