发表状态 | 已发表Published |
题名 | What drives consumers to post more visual contents in online reviews? Big data evidence from restaurant reviews |
作者 | |
发表日期 | 2023 |
会议名称 | The 28th Annual Graduate Student Research Conference in Hospitality and Tourism |
来源出版物 | Conference Proceedings: The 28th Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism |
源文献编者 | Wan Yang |
页码 | 138 |
会议日期 | January 5–7, 2023 |
会议地点 | Orange, CA, USA |
摘要 | Introduction The inclusion of photo(s) in an online review allows viewers to gain more lively facts, thoughts, and feelings; this also increases potential consumers' confidence in product quality (Shedler & Manis, 1986), boosts their willingness to purchase (Peck & Childers, 2003), and is even eligible for predicting business survival (Zhang & Luo, 2021). However, few studies have examined what exactly motivates consumers to upload more photos per post. Based on the trait activation theory (Tett & Burnett, 2003), this study explores whether individual factors (i.e., restaurant price level, users' reputation status, social network, and experience disconfirmation) can drive consumers to share more online review photos. Dining experience has been an extensively examined boundary conditions for review-sharing behaviours. This study extends this line of work by focusing on the photo-sharing motivation and examining the moderation role of dining experience to uncover when consumers' motivation to post more photos can be further pronounced or attenuated. Methods A dataset containing restaurant-level, review-level, and reviewer-level data was obtained from Yelp.com. By using a stratified sampling method based on restaurant attributes, our research sample included 300 popular restaurants in Las Vegas, Nevada, USA,. Review information, including review content (i.e., review text, review photos, review rating), restaurant details (i.e., price level), and reviewers' profiles (i.e., yearly elite status, number of friends, number of followers), was gathered. Econometric models were constructed to investigate the drivers of consumers’ motivation to post visual contents alongside reviews. Results/Discussion/Implications Findings show that consumers' review photo–posting behaviour can be motivated by restaurant price level (conspicuous motivation), reputation status (reputation seeking), social networks (social network seeking), and dining experiences (concern for others/self-expression) but demotivated by experience disconfirmation (social conformity). The results further highlight the moderating role of consumer dining experience. This study first makes an early attempt to explicitly unveil the determinants behind individuals' decisions to embed more photos in online restaurant reviews. Second, the study expands the application of trait activation theory in the online review context. Third, this paper advises effective ways for restaurants to incentivize more photo-embedded online reviews underpinned by fresh insights acquired from the analysis of first-hand user-generated online review big data. |
相关网址 | 查看来源 |
语种 | 英语English |
文献类型 | 会议摘要&总结 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/12187 |
专题 | 个人在本单位外知识产出 |
作者单位 | School of Hotel and Tourism Management, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR |
推荐引用方式 GB/T 7714 | Ji, Haipeng,Li, Hengyun,Zhang, Lingyanet al. What drives consumers to post more visual contents in online reviews? Big data evidence from restaurant reviews. 2023. |
条目包含的文件 | 条目无相关文件。 |
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