2014
DOI: 10.1504/ijemr.2014.064876
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Examining online channel selection behaviour among social media shoppers: a PLS analysis

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Cited by 33 publications
(12 citation statements)
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“…Based on their personality and social interaction, some online shoppers connect different social media networks to generate more interaction. Also, the type of information flow and processing in buyers who rely on the social context can depend on the values and previous knowledge of the shopper (Rezaei and Ismail, 2014). Some researchers have also attempted to study levels of participation in UGC as well as antecedents of consumers' motivation to participate in UGC (Yoo and Gretzel, 2011).…”
Section: Reading/authoring Ugcmentioning
confidence: 99%
See 1 more Smart Citation
“…Based on their personality and social interaction, some online shoppers connect different social media networks to generate more interaction. Also, the type of information flow and processing in buyers who rely on the social context can depend on the values and previous knowledge of the shopper (Rezaei and Ismail, 2014). Some researchers have also attempted to study levels of participation in UGC as well as antecedents of consumers' motivation to participate in UGC (Yoo and Gretzel, 2011).…”
Section: Reading/authoring Ugcmentioning
confidence: 99%
“…By reading, writing, and sharing UGC, the quality of communications on which purchase decisions can be made is improved, and purchase experiences are shared among online shoppers. For UGC to be successful in influencing purchase decisions, Rezaei and Ismail (2014) found that shoppers relying on UGC must be comfortable in accepting procedural suggestions from social media, which implies trust and credibility in other members' knowledge. The source of credibility and quality of messages could impact the confidence of other group members to be receptive to persuasive UGC (Tormala et al, 2006).…”
Section: Purchase Behaviourmentioning
confidence: 99%
“…PLS-SEM is more useful than covariance-based SEM when analyzing predictive research models that are in the early stages of theory development (Dijkstra and Henseler, 2015;Gimbert et al, 2010;Henseler, 2010;Henseler et al, 2016;Rezaei and Ismail, 2014). It can also deal with a small sample size and non-normal conditions of latent constructs (Chin, 1998).…”
Section: Partial Least Squares-structural Equation Modeling (Pls-sem)mentioning
confidence: 99%
“…Vice versa, if they have a negative experience, they will avoid to source information from the same channel. For instance, if a product was recommended to be good online, and individual that received the same good experience with the said product will later, be encouraged the returning to the same dealer [16]. The same person that is posting the same positive information leading on a specific product/organization on the same channel, and creating a line of the follower.…”
Section: Introductionmentioning
confidence: 99%