The influence of user interaction and participation in social media on the consumption intention of niche products

Phang, Chee Wei; Zhang, Chenghong; Sutanto, Juliana

doi:10.1016/j.im.2013.07.001

Cited by 117 publications

(66 citation statements)

References 29 publications

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“…Nevertheless, social media consumption only had indirect effect on attendance intention mediated by team identification while social media consumption had a significant influence on word-of-mouth intention both directly and indirectly with team identification as mediator. It is an opposite result to Phang, Zhang, and Sutanto (2013) who found a direct effect of social media use on consumption intention. This difference may come from the unique feature of the sports.…”

Section: Discussioncontrasting

confidence: 73%

“…Recently, Gray and Wert-Gray (2012) analyzed a total of 300 undergraduate students from eight business classes and found a direct effect of team identification on behavioral intentions such as in-person attendance intention, media-based attendance intention, purchase of team merchandise intention, and word-of-mouth intention. Furthermore, based on Phang, Zhang, and Sutanto (2013), behavioral intention is directly related to social media consumption as well. They suggested that the participation in posting and reading reviews and discussing the certain products with other users on social media raises consumers' interest in the product, in turn, it enhances consumption intention.…”

Section: Introductionmentioning

confidence: 99%

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Untitled

2014

JPES

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Abstract:This study examined the relationship among social media consumption, team identification, word-of-mouth intention, and attendance intention. By analyzing a total of 146 undergraduate students, this study revealed the following insights. First, social media consumption directly affects team identification and word-of-mouth intention. Second, team identification directly affects word-of-mouth intention and attendance intention. Third, social media consumption affects word-of-mouth intention and attendance intention, mediated by team identification. These results expand the use of social media in the marketing and research field upon prior studies of social media and team identification in sport. The most important contribution of this study was to provide the evidence that social media consumption can affect behavioral intention directly and indirectly with team identification as a mediating factor. Thus, this study suggests the way that social media can be used not only for information distribution but also for driving more revenue by stimulating fans' team identification and intentions.

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Section: Discussioncontrasting

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Untitled

2014

JPES

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“…Because of this characteristic, substantial literature seeks to connect some measurable attributes of online product reviews (e.g., review valence, volume, product rating, product comparison) with consumers' purchase behaviors (Lee & Lee, 2009;Phang, Zhang, & Sutanto, 2013), product Measuring such aggregate consumer preferences is critical to firms, because it can facilitate their planning and decision making pertaining to product improvement, new product development, pricing, market segmentation, positioning, and advertising (Ghose, Ipeirotis, & Sundararajan, 2007;Lee & Bradlow, 2007). Conjoint analysis has been the main quantitative preference measurement method since it was first introduced by Green & Rao (1971).…”

Section: Introductionmentioning

confidence: 99%

Crowd intelligence: Analyzing online product reviews for preference measurement

Xiao

Wei

Dong

2016

Information & Management

118

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“…Many e-commerce websites and social media platforms, such as Amazon.com, Taobao.com, Eopinion.com, Yelp.com, and Dianping.com, provide an online information sharing channel that allows customers to post their comments on the products that they have bought or consumed and to browse such product reviews of other consumers in order to acquire more knowledge about product quality [7,45]. Research has shown that online consumer product reviews not only have significant impact on consumers' online purchase decisions [9,33], but also are helpful for manufacturers to improve product design and quality and for online retailers to improve their services [2,18,30].…”

Section: Introductionmentioning

confidence: 99%