2017
DOI: 10.1108/intr-06-2016-0148
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Understanding relationships among customer experience, engagement, and word-of-mouth intention on online brand communities

Abstract: Purpose -Thriving brand communities are inseparable from engaged members and their word-of-mouth behavior. The purpose of this paper is to investigate which customer experience elevates customer engagement and consequent word-of-mouth intention in online brand communities, and how. Design/methodology/approach -From the perspective of service ecosystem theory, a framework with several hypotheses was proposed. The model was verified with structural equation modeling based on questionnaire data collected from sma… Show more

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Cited by 126 publications
(124 citation statements)
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References 80 publications
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“…For innovative product, consumers’ experience with it decides whether they are willing to adopt and use (Zhang, Hu, Guo, & Liu, 2017). The new and innovative characteristics of a product mean that consumers are not familiar with it (Wang, Cao, et al ., 2019).…”
Section: Research Framework and Hypothesis Developmentmentioning
confidence: 99%
“…For innovative product, consumers’ experience with it decides whether they are willing to adopt and use (Zhang, Hu, Guo, & Liu, 2017). The new and innovative characteristics of a product mean that consumers are not familiar with it (Wang, Cao, et al ., 2019).…”
Section: Research Framework and Hypothesis Developmentmentioning
confidence: 99%
“…Especially, with the evolution of mobile phones and applications, as well as social networks, value co-creation can lead to better services and products in the broader "gaming" market, that includes more than just the games (Harwood and Garry, 2010;Roberts et al, 2014). Employing fsQCA to examine value co-creation (Pappas et al, 2017b), can help in better understanding the complexity and multidimensionality of value co-creation in service ecosystems (Akaka et al, 2014;Vargo et al, 2008;Zhang et al, 2017) by capturing the interrelations among the different actors who aim to create value together. This paper differs from previous studies in the area that focus on net effects among variables, adopts complexity theory and employs configurational analysis to better explain intention to download mobile games.…”
Section: Limitations and Suggestions For Future Workmentioning
confidence: 99%
“…Sirgy, 1982;Alpert and Kamins, 1995;Aaker, 1999), the greater the brand similarity, the more likely such similarity reflects the self-concept of individuals, leading to greater satisfaction. This is true not only off-line but also online on SNSs, as consumer engage more with brands on online communities in order to achieve such self-concept (Oh et al, 2014;Zhang et al, 2017;Moran and Muzellec, 2017).…”
Section: Similarity With Brand and Satisfaction With Snssmentioning
confidence: 99%