• Title, Summary, Keyword: Social Influence

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A Study on Microblog Service Continuous Use Intention: Focusing on Influence (마이크로블로그 서비스의 지속사용의도에 관한 연구)

  • Kim, Gyung-Jun;Lee, Ho;Son, Soo-Min
    • The Journal of Information Systems
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    • v.23 no.1
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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.

The Study on Intention to Use for Social Commerce of Online Group-Buying : Focused on Chinese Users (온라인 공동구매형 소셜커머스의 이용의도에 관한 연구 : 중국 이용자를 중심으로)

  • Pang, Ying Ying;Kim, Hyun Mo;Park, Joo Seok
    • Journal of Information Technology Services
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    • v.16 no.3
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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.

The Differences of Social Influence on Information Technology Adoption by Knowledge Work and IT Maturity (정보기술 수용에 있어서 사용자 특성과 정보기술 특성에 따른 사회적 영향의 차이)

  • Yang, Hee-Dong;Moon, Yun-Ji
    • Asia pacific journal of information systems
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    • v.15 no.2
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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).

Framework for Measuring Dynamic Influence Index & Influence Factors using Social Data on Facebook (페이스북 소셜 데이터를 이용한 동적 영향 요인 및 영향력 측정 방법에 관한 프레임워크)

  • Koh, Seoung-hyun;You, Yen-yoo
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.137-145
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    • 2016
  • The explosive growth of social networking services based on smart devices popularize these relationships and activities online in accordance with the far larger impact of this on the real life offline, the interest and importance for the online activity is increasing. In this study, factors affecting the SNS activity are defined by object, user, influence direction, influence distance and proposed a method to measure organic terms in effect between the SNS users. Influence Direction and Influence Strength (or Distance) are elaborated by using the existing influence measurement element such as structured data - the number of friends, the difference between the number of contacts - and the new influence measurement element such as unstructured data - gap between the former time and the latter time, preference and type of response behavior - that occur in social network service. In addition, the system for collecting and analysing data for measuring influence from social network service and the process model on the method for measuring influence is tested by using sample data on Facebook and explained the implementation probability.

The Influence of Social Desirability to Questionnaire Response and Data Analysis -Focus on the Influence of Social Face Sensitivity to Clothing Shopping Behavior- (사회적 바람직성이 소비자 설문 응답 및 결과 분석에 미치는 영향 -체면 민감성이 의복 소비 행동에 미치는 영향 분석 사례를 이용하여-)

  • Kim, Sae-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.11
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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.

Influence Maximization Scheme against Various Social Adversaries

  • Noh, Giseop;Oh, Hayoung;Lee, Jaehoon
    • Journal of information and communication convergence engineering
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    • v.16 no.4
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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.

The Effect of Social Influence on Word of Mouth Activity - Focus on Moderating Role of Market Maven - (온라인 커뮤니티 내 사회적 영향이 구전활동에 미치는 영향 - 마켓메이븐의 조절효과를 중심으로 -)

  • Song, Yong-Tae
    • Journal of Digital Convergence
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    • v.6 no.4
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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.

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Quantifying Influence in Social Networks and News Media

  • Yun, Hong-Won
    • Journal of information and communication convergence engineering
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    • v.10 no.2
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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.

Influence of Social Presence on Consumer Purchase Decision at a Retail Store -Shopping Companions, Other Consumers, and Sales Associates- (리테일 매장에서 소비자 구매결정에 미치는 사회적 존재의 영향 -쇼핑동반자, 다른 고객, 판매원-)

  • Park, Kyungae
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.6
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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.