Research on New Regional Creation Business Model Utilizing Social Network and Crowdfunding

2022 ◽  
Vol 2 (1) ◽  
pp. 1-12
Author(s):  
Takefumi Matsuda
Keyword(s):  
Social Network ◽  
Business Model

scholarly journals Impact of Entertainment Motivational Drivers on User Acceptance of Online Social Network Banner Advertising: A Gratification Perspective

2017 ◽  
Vol 20 (1) ◽  
pp. 19-47 ◽  
Author(s):  
Imran Anwar Mir
Keyword(s):  
Social Media ◽  
Social Network ◽  
University Students ◽  
Business Model ◽  
Online Social Network ◽  
Social Network Sites ◽  
Time Factors ◽  
User Acceptance

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.

Users on Social Network Sites—Flight from Reality and Its Effects on Acceptance of Social Network Advertising: A Gratification Perspective

2017 ◽  
Vol 12 (2) ◽  
pp. 98-121 ◽  
Author(s):  
Imran Anwar Mir
Keyword(s):  
Social Network ◽  
Everyday Life ◽  
Empirical Evidence ◽  
Business Model ◽  
Uses And Gratifications ◽  
Social Network Sites ◽  
User Acceptance ◽  
Uses And Gratifications Theory ◽  
User Attitudes ◽  
Social Interactivity

Social network sites (SNSs) have emerged as a common place for social interactivity and communication in cyberspace. They have rapidly grown in fame and user acceptance globally. The business model of many of these SNS firms is based on advertising. Therefore, it is crucial that users accept social network advertising (SNA). Literature shows that users accept the advertising which is congruent with their motivations for using media. Many people participate in SNSs to forget the problems and worries of everyday life. Yet, empirical evidence is lacking which shows the effects of social escapism motivation on user acceptance of SNA. Grounded on the uses and gratifications theory, the present study proposes and tests a model which shows the effects of social escapism motivation on user attitudes toward SNA as well as on their SNS banner ad-clicking behaviour.

Social play or social cheating? Another face of sociability in social network games

First Monday ◽  
2013 ◽  
Author(s):  
Suen De Andrade e Silva
Keyword(s):  
Social Network ◽  
Social Interactions ◽  
Empirical Analysis ◽  
Business Model ◽  
Participant Observation ◽  
Social Play ◽  
Network Games ◽  
Cooperative Play

This paper explores ideas of cheating and cooperative play in social network games. Despite being criticised for their supposed simplistic and exploitative nature, social network games have created a new game phenomenon, and have demanded a rethinking in the very meaning of social play. Through both empirical analysis of the Facebook game The Sims Social and participant observation of communities of players in Facebook, the paper discusses how social interactions performed within and around the game transform play in a complex articulation of cooperative and transgressive practices, and what implications it might have for the business model underlying social network games at large.

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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