scholarly journals Motivations to Seek Electronic Word of Mouth Communications and Information Adoption: Development of a Conceptual Model

2018 ◽  
pp. 60-66
Author(s):  
Daniele Doneddu
Keyword(s):  
Conceptual Model ◽  
Word Of Mouth ◽  
Electronic Word Of Mouth ◽  
Information Adoption

Consumers' online information adoption behavior: Motives and antecedents of electronic word of mouth communications

2018 ◽  
Vol 80 ◽  
pp. 22-32 ◽  
Author(s):  
Safdar Hussain ◽  
Wang Guangju ◽  
Rana Muhammad Sohail Jafar ◽  
Zahida Ilyas ◽  
Ghulam Mustafa ◽  
...  
Keyword(s):  
Word Of Mouth ◽  
Online Information ◽  
Electronic Word Of Mouth ◽  
Information Adoption

scholarly journals Does Electronic word-of-mouth (eWOM) on Social Media leads to Information Adoption? Empirical Evidence from the Emerging Markets!

2019 ◽  
Vol 8 (4) ◽  
pp. 3281-3288 ◽  
Keyword(s):  
Social Media ◽  
Perceived Risk ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Influential Factors ◽  
Adoption Process ◽  
Electronic Word Of Mouth ◽  
Consumer Decision Making ◽  
Mediation Effects ◽  
Information Adoption

With the amplification in online retailing, electronic word-of-mouth (eWOM) is reckoned to be one of the most influential factors in consumers online purchase behaviours. Prior studies have emphasized on determining the effects of eWOM using discussion forums, shopping websites, consumer review websites and blogs as the platforms; but the current study has focused to investigate eWOM effects in the social media context. Congruently, before the purchase intentions and consumer decision making endeavours are executed, it is necessary to investigate the propensity of information being adopted by the consumers. In this regard, the study focused on how eWOM has been making an impact on the information adoption process of consumers. Sequential mediation effects of perceived risk, argument quality, information usefulness, and trust have been determined among eWOM and information adoption. The data was collected from 346 online shoppers using non-probability convenience sampling technique. Structural Equation Modelling on Mplus software was conducted for substantiating causality among constructs. Results attained affirmed the established theoretical relationships.

Electronic word of mouth communications and consumer's information adoption on the Internet

2016 ◽  
Author(s):  
Safdar Hussain ◽  
Wasim Ahmed ◽  
Rana Muhammad Sohail Jafar ◽  
Ambar Rabnawaz ◽  
Haseeb Akhtar ◽  
...  
Keyword(s):  
Word Of Mouth ◽  
The Internet ◽  
Electronic Word Of Mouth ◽  
Information Adoption

Effect of eWOM review on beauty enterprise: a new interpretation of the attitude contagion theory and information adoption model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li-Chun Hsu
Keyword(s):  
Structural Equation ◽  
Word Of Mouth ◽  
Online Reviews ◽  
Equation Model ◽  
Consumer Attitude ◽  
Electronic Word Of Mouth ◽  
Content Type ◽  
Adoption Model ◽  
New Interpretation ◽  
Information Adoption

PurposeThis study developed a new interpretation of the attitude contagion theory, with the information adoption model (IAM) as the theoretical basis. A review of electronic word-of-mouth studies was conducted by using informational and individual determinants to develop an integrated empirical model that identified the antecedents and consequences of consumer attitude toward online reviews.Design/methodology/approachThis study recruited 750 members of Facebook beauty fan pages in Taiwan and used the structural equation model to test research hypotheses.FindingsResults revealed that perceived “ electronic word-of mouth (eWOM) credibility of online reviews” and “product involvement” could be used to explain the effects of attitude toward online reviews. Regarding the attitude contagion effect, the effect of “attitude toward online review” on both “attitude toward a product” and “attitude toward a brand” is stronger than that on “eWOM adoption.”Originality/valueThis paper provides valuable insights into the antecedents, consequences and mediating mechanisms that determine consumer attitude toward online reviews.

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