Electronic Word-of-Mouth in B2C Virtual Communities: An Empirical Study from CTrip.com

Li, Guoxin; Elliot, Statia; Choi, Chris

doi:10.1080/12297119.2010.9707352

Cited by 18 publications

(9 citation statements)

References 22 publications

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“…These messages stimulate other users to create other messages or disseminate them across online consumer review sites, individual blogs, and social network service sites (Li, Elliot, & Choi, 2010). Jaihak Chung applies a diffusion model to monthly sales and online buzz data collected from five countries to investigate the interactive dynamics of online buzz activities.…”

Section: Adoption Of High-tech Productsmentioning

confidence: 99%

Winning strategies for innovation and high-technology products management

Kim

Huarng

2011

Journal of Business Research

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Section: Adoption Of High-tech Productsmentioning

confidence: 99%

Winning strategies for innovation and high-technology products management

Kim

Huarng

2011

Journal of Business Research

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“…Recent research has examined consumer motivations for supplying and accessing vWOM (e.g., Bickart and Schindler, 2001;Hennig-Thurau et al, 2004;Li, Elliot, and Choi, 2010). For example, Hennig-Thurau et al (2004) concluded that active contributors to Web-based opinion platforms are motivated in part by a concern to help others, and by desires for social connectedness and self-enhancement (i.e., projecting an image of an intelligent shopper).…”

Section: Electronic Word Of Mouth (Vwom)mentioning

confidence: 99%

“…Recent research has examined consumer motivations for supplying and accessing vWOM (e.g., Bickart and Schindler, ; Hennig‐Thurau et al., ; Li, Elliot, and Choi, ). For example, Hennig‐Thurau et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Personal Word of Mouth, Virtual Word of Mouth, and Innovation Use

Kawakami

Kishiya²,

Parry³

2012

J of Product Innov Manag

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The authors examine the impact of word‐of‐mouth communication on innovation use. Hypotheses are developed linking both personal and virtual word of mouth (vWOM) directly to innovation use. The authors also examine the mediating role of two additional variables that link word of mouth and innovation use. Existing research suggests that personal word of mouth (pWOM) indirectly influences intensity of innovation use through its impact on consumer perceptions of the size of local adopter population. In addition, both personal and virtual word‐of‐mouth influence should be positively associated with consumer perceptions of the availability of complementary products, which prior studies have linked to variety of innovation use. The authors test these hypotheses using data collected from 247 Japanese adopters of new‐generation portable gaming devices. Findings indicate that both personal and virtual word of mouth are directly related with variety of innovation use, which is in turn related with intensity of use. In addition, pWOM is positively related with both intensity of use and variety of use through its impact on consumer perceptions of (1) the perceived size of the local adopter population and (2) the availability of complementary products. In contrast, through these same two paths, vWOM is negatively related with both intensity of use and variety of use.

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“…In their study of transactional VCs, Wu et al (2010) noted that relationship commitment and member stickiness are influenced by satisfaction with previous interactions and the level of trust in VC members. Li et al (2010) suggested that the sustainment of a B2C transactional VC depends on the stickiness of its members and positive word-of-mouth (WOM) to enhance purchasing potential. Elliot et al (2013) stated that the continuous intention to participate in VTCs relies heavily on users' stickiness of VTCs.…”

mentioning

confidence: 99%

Understanding Sustained Participation in Virtual Travel Communities from the Perspectives of is Success Model and Flow Theory

Gao

Bai

Park

2014

Journal of Hospitality & Tourism Research

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Virtual travel communities (VTCs) are now popular and influential venues for tourism information sharing. With the increasing number of VTCs and low switching cost, it is challenging to retain existing users and encourage their continued participation. Despite the importance of user retention to VTCs survival, little research attention has been devoted to understanding the members' continued participation behavior. The purpose of this study is to test a new model of VTC beliefs, attitudes, and continuance behaviors, by integrating information system success model and flow theory. The model integrates measures proven in traditional consumer behavior theory, such as wordof-mouth and satisfaction, with behavioral measures unique to the virtual domain, such as stickiness. The results of a field survey of members of QYER, a Chinese VTC, indicate that system quality and information quality directly affect flow experience and member satisfaction, which ultimately determine site stickiness and word-of-mouth behavior. Furthermore, by modeling system quality and information quality as multifaceted constructs, the results reveal key quality concerns in VTCs. The findings will help academics as well as practitioners gain insights into member retention in VTCs.

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Electronic Word-of-Mouth in B2C Virtual Communities: An Empirical Study from CTrip.com

Cited by 18 publications

References 22 publications

Winning strategies for innovation and high-technology products management

Winning strategies for innovation and high-technology products management

Personal Word of Mouth, Virtual Word of Mouth, and Innovation Use

Understanding Sustained Participation in Virtual Travel Communities from the Perspectives of is Success Model and Flow Theory

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