TY - JOUR
T1 - Antecedents of attitudes toward eWOM communication
T2 - differences across channels
AU - Gvili, Yaniv
AU - Levy, Shalom
N1 - Publisher Copyright:
© 2016, © Emerald Group Publishing Limited.
PY - 2016
Y1 - 2016
N2 - Purpose: Despite the extensive academic interest in electronic word of mouth (eWOM) communication, consumer attitudes toward eWOM communication have been neglected. The purpose of this paper is to propose a conceptual framework for attitudes toward eWOM communication across digital channels. Design/methodology/approach: Data were collected through a web-based survey on seven major digital communication channels. ANOVA was applied in order to analyze their differences. In addition, structural equation modeling was used to test the eWOM attitude model, using a sample of 864 participants who have had prior experience with the channels under study. Findings: Findings indicate that both attitude toward eWOM and its antecedents significantly differ across channels. Additionally, a path analysis model reveals that the original integrated model applies to eWOM communications. Yet, in the case of eWOM, irritating messages may be positively related to attitude toward the channel, and credibility serves as a mediator of message value. Research limitations/implications: This paper supports the notion that attitude toward eWOM communication significantly differs across media channels. Future research should examine additional implications of attitude toward eWOM, and explore new and evolving channels. Practical implications: Practitioners should adjust their eWOM media strategy to their objectives; blogs and social networks are more effective for brand attitude formation, whereas web forums enhance message credibility. Originality/value: To the best of the authors’ knowledge, this is the first research study that tests attitudinal differences toward eWOM across digital channels. As such, it contributes to the understanding of people’s perception of these platforms.
AB - Purpose: Despite the extensive academic interest in electronic word of mouth (eWOM) communication, consumer attitudes toward eWOM communication have been neglected. The purpose of this paper is to propose a conceptual framework for attitudes toward eWOM communication across digital channels. Design/methodology/approach: Data were collected through a web-based survey on seven major digital communication channels. ANOVA was applied in order to analyze their differences. In addition, structural equation modeling was used to test the eWOM attitude model, using a sample of 864 participants who have had prior experience with the channels under study. Findings: Findings indicate that both attitude toward eWOM and its antecedents significantly differ across channels. Additionally, a path analysis model reveals that the original integrated model applies to eWOM communications. Yet, in the case of eWOM, irritating messages may be positively related to attitude toward the channel, and credibility serves as a mediator of message value. Research limitations/implications: This paper supports the notion that attitude toward eWOM communication significantly differs across media channels. Future research should examine additional implications of attitude toward eWOM, and explore new and evolving channels. Practical implications: Practitioners should adjust their eWOM media strategy to their objectives; blogs and social networks are more effective for brand attitude formation, whereas web forums enhance message credibility. Originality/value: To the best of the authors’ knowledge, this is the first research study that tests attitudinal differences toward eWOM across digital channels. As such, it contributes to the understanding of people’s perception of these platforms.
KW - Attitudes
KW - Electronic word of mouth (eWOM)
KW - Social networks
KW - WOM
UR - http://www.scopus.com/inward/record.url?scp=84988358767&partnerID=8YFLogxK
U2 - 10.1108/IntR-08-2014-0201
DO - 10.1108/IntR-08-2014-0201
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AN - SCOPUS:84988358767
SN - 1066-2243
VL - 26
SP - 1030
EP - 1051
JO - Internet Research
JF - Internet Research
IS - 5
ER -