Mechanism of the impact of online social network on enterprise e-business model

Author(s):  
Yan Tu ◽  
Baowen Sun
Author(s):  
Yair Amichai-Hamburger ◽  
Shir Etgar ◽  
Hadar Gil-Ad ◽  
Michal Levitan-Giat ◽  
Gaya Raz

Celebrities are famous people who often belong to entertainment industry. They are known to have a strong influence on people’s behavior. In the digital age this impact has expanded to include the online arena. Celebrities increasingly utilize Instagram, an online social network, to promote commercial products. It is important to learn to what extent people are influenced by this type of promotion and what sort of people are likely to be swayed by it. Research has demonstrated that people’s personalities have a strong impact on their behaviors online. However, until now, these investigations have not included the relationship between personality and the degree of celebrity influence through social networks. This study examines how much the personality of a user is related to the degree to which he or she is influenced by these Celebrity Instagram messages. Participants comprised 121 students (34 males, 87 females). They answered questionnaires which focused on their personality and were asked about the degree of influence celebrities exerted upon them through Instagram. Results showed that people who are characterized as being open and having an internal locus of control are more resistant to such celebrity influences. This paper demonstrates that the personality of a recipient is likely to influence the degree of impact that a celebrity endorsement is likely to produce. The implications of these results are discussed.


2021 ◽  
Vol 33 (6) ◽  
pp. 0-0

The wide use of social media technology boosts many online innovation platforms, providing effective communication channels for innovation spreading among online users. From the social network perspective, this paper investigates the impact of online interactive relations on user innovation by holistically examining online relations from relational and structural embeddedness, qualified by both the ego-centered and the entire network, respectively. User interaction data from LEGO Ideas are used to empirically test the effects of relational and structural characteristics of online social networks on users’ idea contributions. The results for relational characteristics reveal that the number of online ties has an inverted U-shaped relationship with user innovation, the strength of online ties positively affects user innovation, and neighbor characteristics cannot affect user innovation. For structural characteristics, both centrality and bridge location positively affect user innovation. The findings provide reasonable suggestions for both online users and innovation platforms.


2021 ◽  
Vol 29 (6) ◽  
pp. 1-30
Author(s):  
Christina Ling-hsing Chang ◽  
Sheng Wu

The purpose of this paper is to investigate the influential factors of online social network advertising in three different cultural areas, being China, India, and the US. This study uses the Social Capital Theory (SCT), and Guanxi Theory, as two types of relation theories; then collects data from the virtual community (or online social network, VC) members of three different areas, a total of 730 valid surveys were completed for model testing. The findings show that: (1) building the relationship dimension of the SCT (trust, identification, and the norm of reciprocity) for the VC members in China and the US societies is more useful than the India society, to spread the brands through the VC; (2) good guanxi for the VC members in China's society is more useful than the Indian and the US societies to spread brands through VC. The result demonstrates that culture differentiation should be consider when researchers investigate the impact of VC advertising contact and attention, attitude towards VC advertising, and purchase intention in VC context.


2020 ◽  
Vol 12 (7) ◽  
pp. 3064 ◽  
Author(s):  
Tai Huynh ◽  
Hien Nguyen ◽  
Ivan Zelinka ◽  
Dac Dinh ◽  
Xuan Hau Pham

Influencer marketing is a modern method that uses influential users to approach goal customers easily and quickly. An online social network is a useful platform to detect the most effective influencer for a brand. Thus, we have an issue: how can we extract user data to determine an influencer? In this paper, a model for representing a social network based on users, tags, and the relationships among them, called the SNet model, is presented. A graph-based approach for computing the impact of users and the speed of information propagation, and measuring the favorite brand of a user and sharing the similar brand characteristics, called a passion point, is proposed. Therefore, we consider two main influential measures, including the extent of the influence on other people by the relationships between users and the concern to user’s tags, and the tag propagation through social pulse on the social network. Based on these, the problem of determining the influencer of a specific brand on a social network is solved. The results of this method are used to run the influencer marketing strategy in practice and have obtained positive results.


Author(s):  
Julio Amador ◽  
Carlos Adolfo Piña-Garcia

We used survey data and collected data from the online social network Twitter between October 5, 2015 to November 9, 2015 to provide an overview related to political participation in Mexico. With the former we provided a qualitative assessment of participation by examining electoral participation, participation between regions, interest in politics and sources of political information. With Twitter data, we described the intensity of participation, we identified locations of high activity and identified movements including agencies behind them. We compare and contrast participation in Mexico to its counterpart in Twitter. We show that participation seems to be decreasing. However, participation through Twitter seems to be increasing. Our research points towards the emergence of Twitter as a significant platform in terms of political participation in Mexico. Our study analyses the impact of how different agencies related to social movements can enhance participation through Twitter. We show that emergent topics are important because they could help to explore how politics becomes of public interest.


2017 ◽  
Vol 20 (1) ◽  
pp. 19-47 ◽  
Author(s):  
Imran Anwar Mir

Abstract Social media has phenomenally changed the communication landscape. Particularly social network sites have received enormous popularity and user acceptance globally. The business model of many social network sites is based on advertising. The survival of these social network sites depends on the user acceptance of advertising appearing on these websites. Users usually accept the advertising which is consistent with their motivations for using social network sites. The current study examines the underlying dimensions of entertainment motivation for using social network sites and their impact on user acceptance of social network advertising. Analysis of data from 450 university students show entertainment motivation for using social network sites a multidimensional (SNSs) construct consisting of enjoyment, social escapism, relaxation and pass time factors. Furthermore, the results exhibit that SNSs entertainment motivation partially impacts user acceptance of social network advertising.


First Monday ◽  
2020 ◽  
Author(s):  
Jorge Martins Rosa ◽  
Cristian Jiménez Ruiz

Online social network platforms have been, since their rise to prominence, considered as relevant gateways to study individual behaviors. One of those realms is politics, from massive movements and demonstrations to institutionalized events like general elections or referendums in democratic countries. In this paper, we are interested in the behavior of professional politicians in the United Kingdom European Union membership referendum of June 2016, colloquially known as the “Brexit referendum”. We ask how, during the final weeks of the campaign, four key political actors (Jeremy Corbyn, David Cameron, Boris Johnson, and Nigel Farage) used Twitter through their official accounts regarding this popular consultation and how that action was received by their followers. To be more precise, we ask if they predominantly appealed to emotions or to rational arguments (Usage Axis), and what was, in each case, the impact of the tweets (Impact Axis). We conclude that, regardless of the way each actor used Twitter during the campaign, the appeal to emotions and the debasement of the opposing views tended to have more relevance, which may be a distressing hypothesis for democracy.


2021 ◽  
Vol 33 (6) ◽  
pp. 1-27
Author(s):  
Jiali Chen ◽  
Yikai Liang ◽  
Jiacheng Zhang ◽  
Guijie Qi

The wide use of social media technology boosts many online innovation platforms, providing effective communication channels for innovation spreading among online users. From the social network perspective, this paper investigates the impact of online interactive relations on user innovation by holistically examining online relations from relational and structural embeddedness, qualified by both the ego-centered and the entire network, respectively. User interaction data from LEGO Ideas are used to empirically test the effects of relational and structural characteristics of online social networks on users’ idea contributions. The results for relational characteristics reveal that the number of online ties has an inverted U-shaped relationship with user innovation, the strength of online ties positively affects user innovation, and neighbor characteristics cannot affect user innovation. For structural characteristics, both centrality and bridge location positively affect user innovation. The findings provide reasonable suggestions for both online users and innovation platforms.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

The purpose of this paper is to investigate the influential factors of online social network advertising in three different cultural areas, being China, India, and the US. This study uses the Social Capital Theory (SCT), and Guanxi Theory, as two types of relation theories; then collects data from the virtual community (or online social network, VC) members of three different areas, a total of 730 valid surveys were completed for model testing. The findings show that: (1) building the relationship dimension of the SCT (trust, identification, and the norm of reciprocity) for the VC members in China and the US societies is more useful than the India society, to spread the brands through the VC; (2) good guanxi for the VC members in China's society is more useful than the Indian and the US societies to spread brands through VC. The result demonstrates that culture differentiation should be consider when researchers investigate the impact of VC advertising contact and attention, attitude towards VC advertising, and purchase intention in VC context.


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