Electronic Word-of-Mouth Communication in Online Social Networks

2016 ◽  
pp. 77-102
Author(s):  
Tuğçe Ozansoy Çadırcı ◽  
Ayşegül Sağkaya Güngör
Keyword(s):  
Social Networks ◽  
Social Interaction ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Three Dimensions ◽  
Electronic Word Of Mouth ◽  
Motivating Factors ◽  
Unique Nature ◽  
Negative Effect ◽  
Word Of Mouth Communication

Online social networks (oSNS) enable users to construct strong relationships with friends, family, as well as strangers. They also enable users to share information concerning experiences and opinions about products, brands and companies via electronic word of mouth (eWOM). The unique nature of oSNS-eWOM relationship forms the basis of this research. The authors report the results of a research investigating six motivational factors for engaging in eWOM communication, investigated under three dimensions; producing, consuming and forwarding of content on oSNSs. Results reveal that eWOM production behavior on oSNS is mainly motivated by altruism, self enhancement, electronic social interaction and exhibitionism. The motivating factors of eWOM forwarding behavior showed up as electronic social interaction and exhibitionism, whereas the motivating factors for eWOM consumption behavior are altruism, electronic social interaction and need for intellectual engagement. Aversion of cognitive activities appeared to have a negative effect on consumption of eWOM communication.

The Influence of Social Networks on the Choice of a University Brand by Generation Y

2021 ◽  
Vol 4 (62) ◽  
pp. 5-22
Author(s):  
Nargiza Aliyeva ◽  
Gaukhar Mukhamediyeva
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Brand Equity ◽  
Generation Y ◽  
Word Of Mouth ◽  
Social Space ◽  
Electronic Word Of Mouth ◽  
The Impact ◽  
Positive Effect ◽  
University Brand

Social networks are actively penetrating into all spheres of our society. The influence of social media is strongly affected by the younger generation, who spends a lot of time in the virtual social space. The purpose of this study was to study the influence of social networks on the choice of a university brand by representatives of generation Y. The data was collected through an online survey using the Google forms service. The results obtained indicate that social media engagement has a positive effect on brand image. Firm-created and user-generated social media communication have a positive effect on brand equity in Higher Education Institutions. Brand equity positively influences Brand choice intention. The value of this study lies in the fact that it considered the influence of various factors on the formation of the intention of representatives of generation Y to choose brands of universities, taking into account the moderate effect of electronic word of mouth. The results obtained complement the scientific literature on the impact of social media on consumer behavior. The results of this study can help in understanding the choice of students of educational organizations, taking into account the influence of social networks and electronic word of mouth, which can help university marketing departments to promote brands more effectively in the social media space.

Identifying Influencers in Online Social Networks

2013 ◽  
Vol 9 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Yifeng Zhang ◽  
Xiaoqing Li ◽  
Te-Wei Wang
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Word Of Mouth ◽  
Agent Based Modeling ◽  
Viral Marketing ◽  
Tie Strength ◽  
Agent Based ◽  
Widespread Acceptance ◽  
Tremendous Amount ◽  
Marketing Messages

Online social networks (OSNs) are quickly becoming a key component of the Internet. With their widespread acceptance among the general public and the tremendous amount time that users spend on them, OSNs provide great potentials for marketing, especially viral marketing, in which marketing messages are spread among consumers via the word-of-mouth process. A critical task in viral marketing is influencer identification, i.e. finding a group of consumers as the initial receivers of a marketing message. Using agent-based modeling, this paper examines the effectiveness of tie strength as a criterion for influencer identification on OSNs. Results show that identifying influencers by the number of strong connections that a user has is superior to doing so by the total number of connections when the strength of strong connections is relatively high compared to that of weak connections or there is a relatively high percentage of strong connections between users. Implications of the results are discussed.

Working Adults' Buying Intention Through Online Social Network

2021 ◽  
Vol 17 (4) ◽  
pp. 92-116
Author(s):  
Syed Shah Alam ◽  
Chieh-Yu Lin ◽  
Mohd Helmi Ali ◽  
Nor Asiah Omar ◽  
Mohammad Masukujjaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Perceived Risk ◽  
Word Of Mouth ◽  
Online Social Network ◽  
Perceived Value ◽  
Online Social Media ◽  
Starting Point

Most businesses have online social media presence; therefore, understanding of working adult's perception on buying through online social networks is vital. The aim of this study is to examine the effect of perceived value, sociability, usability, perceived risk, trust, and e-word-of-mouth on buying intention through online social network sites. The research model for this study was developed based on the literature on information system research. This study adopted convenient sampling of non-probability sampling procedure. Data were collected through self-administered questionnaire, and PLS-based path analysis was used to analyse responses. The findings of the study shows that perceived value, sociability, usability, e-word-of-mouth, attitude, and subjective norm are significant constructs of buying intention through online social networks. This research can serve as a starting point for online shopping research through online social media while encouraging further exploration and integration addition adoption constructs.

Information diffusion in structured online social networks

2015 ◽  
Vol 29 (13) ◽  
pp. 1550063 ◽  
Author(s):  
Pei Li ◽  
Yini Zhang ◽  
Fengcai Qiao ◽  
Hui Wang
Keyword(s):  
Social Networks ◽  
Theoretical Analysis ◽  
Online Social Networks ◽  
Information Diffusion ◽  
Word Of Mouth ◽  
Viral Marketing ◽  
User Influence ◽  
Diffusion Dynamics ◽  
Approach Infinity ◽  
Simulation Results

Nowadays, due to the word-of-mouth effect, online social networks have been considered to be efficient approaches to conduct viral marketing, which makes it of great importance to understand the diffusion dynamics in online social networks. However, most research on diffusion dynamics in epidemiology and existing social networks cannot be applied directly to characterize online social networks. In this paper, we propose models to characterize the information diffusion in structured online social networks with push-based forwarding mechanism. We introduce the term user influence to characterize the average number of times that messages are browsed which is incurred by a given type user generating a message, and study the diffusion threshold, above which the user influence of generating a message will approach infinity. We conduct simulations and provide the simulation results, which are consistent with the theoretical analysis results perfectly. These results are of use in understanding the diffusion dynamics in online social networks and also critical for advertisers in viral marketing who want to estimate the user influence before posting an advertisement.

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