Influence of Online Reviews on Culinary Tourism Intentions: The RED Platform Study

Akyuz, B. G. (2019). Factors that influence local food consumption motivation and its effects on travel intentions. Anatolia, 30(3), 358–367.
Ali, A. (2021). A conceptual study on the influence of social network services and electronic word of mouth on food purchase intention during a pandemic. Global Business and Management Research: An International Journal, 13(4).
Ba?aran, U., & Yildiz, M. (2022). Bas?l? reklamlara yönelik tutumun sat?n alma niyeti üzerindeki etkisinde ürün ilgileniminin düzenleyici rolü: Kad?n tüketiciler üzerine bir ara?t?rma. Business & Management Studies: An International Journal, 10(3), 1118–1144.
Boutsioukou, K. (2018). Key trends in culinary tourism - Insight into the key trends in culinary tourism, the profile of culinary travelers and what the future holds for the industry. GlobalData UK Ltd.
Bu, Y., Parkinson, J., & Thaichon, P. (2020). Digital content marketing as a catalyst for e-WOM in food tourism. Australasian Marketing Journal (AMJ), 29(2).
Campbell, J. M., & DiPietro, R. B. (2014). Sign of the times: Testing consumer response to local food signage within a casual dining restaurant. Journal of Retailing and Consumer Services, 21(5), 812–823.
Chaiken, S. (1980). Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39(5), 752–766.
Chung, H., & Zhao, X. (2003). Humour effect on memory and attitude: Moderating role of product involvement. International Journal of Advertising, 22(1), 117–144.
Dixon, S. J. (2023, February 14). Most popular social networks worldwide as of January 2023, ranked by number of monthly active users. Statista.
https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
Ducoffe, R. H. (1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21–21.
Ellis, A., Park, E., Kim, S., & Yeoman, I. (2018). What is food tourism? Tourism Management, 68, 250–263.
Everett, S. (2016). Food and drink tourism: Principles and practice. Food and Drink Tourism, 1–464. https://www.torrossa.com/en/resources/an/5019536
Fan, F. (2023). Douyin heats up food delivery segment. Www.chinadaily.com.cn. https://www.chinadaily.com.cn/a/202302/09/WS63e44756a31057c47ebadc48.html
Fang, B., Ye, Q., Kucukusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498–506.
Future Market Insights. (2023). China Culinary Tourism Market. Future Market Insights. https://www.futuremarketinsights.com/reports/china-culinary-tourism-market
Gambetti, A., & Han, Q. (2022). Camera eats first: exploring food aesthetics portrayed on social media using deep learning. International Journal of Contemporary Hospitality Management, 34(9), 3300–3331.
Gregoriades, A., Pampaka, M., Herodotou, H., & Christodoulou, E. (2021). Supporting digital content marketing and messaging through topic modelling and decision trees. Expert Systems with Applications, 184, 115546.
Gupta, P., & Harris, J. (2010). How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. Journal of Business Research, 63(9-10), 1041–1049.
Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer’s information adoption. Computers in Human Behavior, 66, 96–102.
Ketter, E. (2017). Eating with EatWith: analysing tourism-sharing economy consumers. Current Issues in Tourism, 1–14.
Kim, A. J., & Johnson, K. K. P. (2016). Power of Consumers Using Social media: Examining the influences of brand-related user-generated Content on Facebook. Computers in Human Behavior, 58(0747-5632), 98–108.
Kim, Y. G., & Eves, A. (2012). Construction and validation of a scale to measure tourist motivation to consume local food. Tourism Management, 33(6), 1458–1467.
Lamsfus, C., Wang, D., Alzua-Sorzabal, A., & Xiang, Z. (2014). Going mobile: Defining context for on-the-go travelers. Journal of Travel Research, 54(6), 691–701.
Lee, J., Park, D., & Han, I. (2011). The different effects of online consumer reviews on consumers’ purchase intentions depending on trust in online shopping malls. Internet Research, 21(2), 187–206.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468.
Litvin, S. W., Goldsmith, R. E., and Pan, B. (2018). A retrospective view of electronic word-of-mouth in hospitality and tourism management. International Journal of Contemporary Hospitality Management, 30(1), 313–325.
McQuail, D. (1987). Mass communication theory: An introduction (2nd ed.). Sage Publications, Inc.
Media Research. (2020). Chinese short video market environment analysis and user behavior survey data (in Chinese). https://data.iimedia.cn/data-classification/theme/44275815.html#dataset44276472
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.
Michelle & Uking. (2011). Special: Micro blog’s macro impact. Chinadaily. http://www.chinadaily.com.cn/china/2011-03/02/content_12099500.htm
Arif, M. A. S., & Du, J. T. (2019). Understanding collaborative tourism information searching to support online travel planning. Online Information Review, 43(3), 369–386.
Moran, G., Muzellec, L., & Johnson, D. (2019). Message content features and social media engagement: evidence from the media industry. Journal of Product & Brand Management, 29(5), 533–545.
Mudambi, S., & Schuff, D. (2010). Research note: What makes a helpful online review? A Study of Customer Reviews on Amazon.com. MIS Quarterly, 34(1), 185.
Nelson, R. R., Todd, P. A., & Wixom, B. H. (2005). Antecedents of information and system quality: An Empirical examination within the context of data warehousing. Journal of Management Information Systems, 21(4), 199–235.
Oliveira, B., & Casais, B. (2019). The importance of user-generated photos in restaurant selection. Journal of Hospitality and Tourism Technology, 10(1), 2–14.
Pan, Y., & Zhang, J. Q. (2011). Born unequal: A study of the helpfulness of user-generated product reviews. Journal of Retailing, 87(4), 598–612.
Park, D.-H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399–410.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1–24).
Prebensen, N. K., Woo, E., Chen, J. S., & Uysal, M. (2012). Motivation and involvement as antecedents of the perceived value of the destination experience. Journal of Travel Research, 52(2), 253–264.
Stalmirska, A. M. (2020). Cultural globalisation and food in urban destination marketing. Tourism Geographies, 1–19.
Sung, H. J., Kim, H. Y., & Cho, M. (2020). How can TV food programs be used as an effective restaurant marketing tool? An extension of ELM with perceived risk. Sustainability, 12(17), 7131.
Thomala, L. L. (2023a). China: Xiaohongshu MAUs 2022. Statista.
https://www.statista.com/statistics/1327421/china-xiaohongshu-monthly-active-users/
Thomala, L. L. (2023b). WeChat: active users worldwide. Statista.
https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts/#:~:text=The%20number%20of%20Tencent
Thomala, L. L. (2023c). Number of active WeChat messenger accounts Q2 2011-Q1 2023. Statista; Statista. https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts/
van Laer, T., Escalas, E. J., Ludwig, S., & van den Hende, E. A. (2018). What happens in vegas stays on TripAdvisor? A theory and technique to understand narrativity in consumer reviews. Journal of Consumer Research, 46(2).
Wang, P. (2015). Exploring the influence of electronic word-of-mouth on tourists’ visit intention. Journal of Systems and Information Technology, 17(4), 381–395.
Weibo. (2020). 2020 Weibo user development report (in Chinese). https://data.weibo.com/report/file/view?download_name=4a774760-40fe-5714-498e-865d87a738fe&file-type=.pdf
Xiaohongshu. (2023). About us (in Chinese). Xiaohongshu. https://www.xiaohongshu.com/protocols/about
Yan, X., Shah, A. M., Zhai, L., Khan, S., & Shah, S. A. A. (2018, January 3). Impact of Mobile Electronic Word of Mouth (EWOM) on consumers purchase intentions in the fast-causal restaurant industry in Indonesia. the 51st Hawaii International Conference on System Sciences. https://scholarspace.manoa.hawaii.edu/handle/10125/50367
Yang, Y., & Ha, L. (2021). Why people use TikTok (Douyin) and how their purchase intentions are affected by social media influencers in China: A uses and gratifications and parasocial relationship perspective. Journal of Interactive Advertising, 21(3), 1–9.
Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer Research, 12(3), 341–352.
Zinko, R., Furner, C. P., de Burgh-Woodman, H., Johnson, P., & Sluhan, A. (2020). The addition of images to eWOM in the travel industry: An examination of hotels, cruise ships and fast food reviews. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 525–541.

(Wang & Iahad, 2024)
Wang, W., & Iahad, N. A. (2024). Influence of Online Reviews on Culinary Tourism Intentions: The RED Platform Study. International Journal of Academic Research in Business and Social Sciences, 14(1), 1379–1390.

Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode