scholarly journals The Online Social Network and User Innovation

2021 ◽  
Vol 33 (6) ◽  
pp. 0-0
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Structural Characteristics ◽  
Online Social Network ◽  
User Interaction ◽  
User Innovation ◽  
Media Technology ◽  
The Social ◽  
Use Of Social Media ◽  
The Impact

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.

scholarly journals The Online Social Network and User Innovation in the Context of an Online Innovation Platform

2021 ◽  
Vol 33 (6) ◽  
pp. 1-27
Author(s):  
Jiali Chen ◽  
Yikai Liang ◽  
Jiacheng Zhang ◽  
Guijie Qi
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Structural Characteristics ◽  
Online Social Network ◽  
User Interaction ◽  
User Innovation ◽  
Media Technology ◽  
Use Of Social Media ◽  
Innovation Platform ◽  
The Impact

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.

scholarly journals Online social networks as formal learning environments: Learner experiences and activities

2012 ◽  
Vol 13 (1) ◽  
pp. 144 ◽  
Author(s):  
George Veletsianos ◽  
Cesar Navarrete
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Learning Experience ◽  
Online Social Network ◽  
Online Course ◽  
Formal Learning ◽  
The Social

<p>While the potential of social networking sites to contribute to educational endeavors is highlighted by researchers and practitioners alike, empirical evidence on the use of such sites for formal online learning is scant. To fill this gap in the literature, we present a case study of learners’ perspectives and experiences in an online course taught using the Elgg online social network. Findings from this study indicate that learners enjoyed and appreciated both the social learning experience afforded by the online social network and supported one another in their learning, enhancing their own and other students’ experiences. Conversely, results also indicate that students limited their participation to course-related and graded activities, exhibiting little use of social networking and sharing. Additionally, learners needed support in managing the expanded amount of information available to them and devised strategies and “workarounds” to manage their time and participation.<br /><strong></strong></p>

Building Online Social Networks to Engage Female Students in Information Systems

2015 ◽  
Vol 10 (4) ◽  
pp. 33-51
Author(s):  
Jaymeen R. Shah ◽  
Hsun-Ming Lee
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Information Systems ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Role Models ◽  
Online Social Network ◽  
Research Process ◽  
Female Students ◽  
The Social

During the next decade, enrollment growth in Information Systems (IS) related majors is unlikely to meet the predicted demand for qualified IS graduates. Gender imbalance in the IS related program makes the situation worse as enrollment and retention of women in the IS major has been proportionately low compared to male. In recent years, majority of high school and college students have integrated social networking sites in their daily life and habitually use these sites. Providing female students access to role models via an online social network may enhance their motivation to continue as an IS major and pursue a career in IS field. For this study, the authors follow the action research process – exploration of information systems development. In particular, a Facebook application was developed to build the social network connecting role models and students. Using the application, a basic framework is tested based on the gender of participants. The results suggest that it is necessary to have adequate number of role models accessible to students as female role-models tend to select fewer students to develop relationships with a preference for female students. Female students likely prefer composite role models from a variety of sources. This pilot study yields valuable lessons to provide informal learning fostered by role modeling via online social networks. The Facebook application may be further expanded to enhance female students' interests in IS related careers.

scholarly journals Using Online Social Networks to Globalize and Popularize Product Brands in Different Cultural Areas

2021 ◽  
Vol 29 (6) ◽  
pp. 1-30
Author(s):  
Christina Ling-hsing Chang ◽  
Sheng Wu
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Purchase Intention ◽  
Online Social Network ◽  
Virtual Community ◽  
Influential Factors ◽  
Social Capital Theory ◽  
Capital Theory ◽  
The Us ◽  
The Impact

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.

scholarly journals Detecting the Influencer on Social Networks Using Passion Point and Measures of Information Propagation †

2020 ◽  
Vol 12 (7) ◽  
pp. 3064 ◽  
Author(s):  
Tai Huynh ◽  
Hien Nguyen ◽  
Ivan Zelinka ◽  
Dac Dinh ◽  
Xuan Hau Pham
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Marketing Strategy ◽  
Online Social Network ◽  
Modern Method ◽  
Information Propagation ◽  
The Social ◽  
User Data ◽  
The Impact ◽  
Positive Results

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.

scholarly journals Using Online Social Networks to Globalize and Popularize Product Brands in Different Cultural areas

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Social Network ◽  
Online Social Networks ◽  
Purchase Intention ◽  
Online Social Network ◽  
Virtual Community ◽  
Influential Factors ◽  
Social Capital Theory ◽  
Capital Theory ◽  
The Us ◽  
The Impact

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.

Do I Deserve to Spend? Online Social Support and Spending Pleasure

2020 ◽  
pp. 193896552097357
Author(s):  
Kawon Kim ◽  
Melissa A. Baker
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Boundary Conditions ◽  
Online Social Networks ◽  
Service Industry ◽  
Online Social Network ◽  
Online Social Support ◽  
The Social ◽  
Influence Perceptions

Despite evidence of people posting their consumption experiences to online social networks to fulfill the needs of social support, an understanding of how online social support affects post-consumption spending behaviors remains elusive. This research aims to examine how online social support from online social network friends and the firm influence perceptions of self-deservingness and spending pleasure. Across two studies, this research provides evidence that social support gained through online social networks influences consumers’ spending pleasure through perceptions of their own deservingness. Notably, this study reveals that people obtain social support in online social networks from two sources: social networks friends and firms through receiving “Likes” and “Comments” on their post. This study also explores boundary conditions for when online social support is more effective on spending pleasure. The findings not only broaden the social support literature but also address the benefit to the service industry by understanding how social support can enhance spending pleasure.

scholarly journals Comparative study of Existing Models for Online Social Network

2021 ◽  
Vol 12 (2) ◽  
pp. 483-490
Author(s):  
Vikas Attri
Keyword(s):  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Vital Role ◽  
Primary Concern ◽  
Social Actors ◽  
Marketing Social ◽  
First Choice ◽  
The Social

Today, Online Social Networks becomes the first choice for businesses to broadcast their campaigns for branding, publicity, strategies, advertising, marketing, social influence and so many other areas. Social Network is a platform for communicating with social actors and Social Media is used by companies for broadcasting information. Online Social Network  used by businesses for number of purposes but the primary concern is build new social connections that helps to target most audiences for successful campaign purposes. In OSNs sites the social objects are represented by nodes and the term edge used for connection between nodes under the graph theory. Today Social Network sites have becomes most exploded as compared to traditional sites because of impact of so many influence models over traditional models.Some of popular websites of OSN such as MySpace, Facebook, Flickr, YouTube, Google Video, Orkut, LinkedIn, Live Journal and BlogSpot have great impact on customer when targeting the sales marketing funnel for businesses. Adjacent users sometimes called engaged users tend to have more trust level as compared to random pairs users on the social media sites. Already have so much research that helps to calculate the trust factor using influence modeling. So influence models play a vital role to predict the behavior of the customer that helps to fulfill the goal of the business. The key contribution of this work is study of online social networking models.

scholarly journals Analysis of the Structural Characteristics of the Online Social Network of Chinese Professional Athletes

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yue Wang ◽  
Qian Huang ◽  
Qiurong Wang ◽  
Yang Xun ◽  
Yujiao Tan ◽  
...  
Keyword(s):  
Social Network ◽  
Network Structure ◽  
Structural Characteristics ◽  
Online Social Network ◽  
Support Network ◽  
Online Support ◽  
Physical And Mental Health ◽  
Social Network Structure ◽  
Relationship Structure ◽  
The Impact

In response to the lack of research on the online social network structure of athletes, elements of research on the online social network structure of athletes were constructed based on the whole network perspective and through the study of the characteristics of the whole online social network structure of athletes, in order to provide reference for the physical and mental health development of athletes from a new perspective. Data were collected through questionnaires, and several software programs were used to preprocess and analyse the collected data. Through the analysis of the online whole network structure, it was found that the network density of the online support network was generally greater than that of the online discussion network, and athletes still showed stronger practical support demands and behaved more rationally in the process of training and learning life, while from the perspective of the relationship structure, the athletes’ family and classmates’ online support is weaker than that in previous studies; in terms of the whole network, strong relationships still dominate in this population, while attention should be paid to the impact of weak relationships.

A Big Data Approach to Assessing the Impact of Social Norms: Reporting One’s Exercise to a Social Media Audience

2016 ◽  
Vol 46 (2) ◽  
pp. 236-249 ◽  
Author(s):  
Christopher J. Carpenter ◽  
Chandra S. Amaravadi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Mobile App ◽  
Exercise Behavior ◽  
Potential Range ◽  
Service Users ◽  
The Social ◽  
The Impact ◽  
Individual Service

Assessing the impact of an individual’s social network on an individual is difficult without administering a large number of surveys. Online social networks with built-in data collection circumvent this problem. The data collected by an exercise-focused social media website and mobile app allowed the estimation of the effect of both the behavior of the social network and the size of that network on the behavior of individual service users (31,200 users reporting 67,699 exercise events with a potential range of 87 weeks). The results are consistent with the theory of normative social behavior in that the amount of exercise reported by the user’s social network as well as the size of the user’s on-site social network affected the user’s exercise behavior over time.

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