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What Do Customers Share About Eating-Out on Facebook?

Yıl 2022, Cilt 10, Sayı 3, 448 - 479, 01.09.2022
https://doi.org/10.30519/ahtr.923881

Öz

Discussing the eating-out experience is long-lasting among people around the world, and with the advent of the internet, customers change the way of sharing dining experience online. This study aims to identify the dominant topics and emotional dimensions on Facebook status updates of large-scale individual accounts, as well as the topic variance by users’ age and gender. With an adaption of the myPersonality dataset on Facebook, topic modeling and emotion analysis are conducted. Findings indicate that five primary topics are composed of food, happy time, dining experience, coffee time, and people. Males and females demonstrate a significant difference in the theme of people. Positive emotional dimensions generally show stronger extents than the negative ones. This study is a pioneer of exploring Facebook individual accounts in the hospitality and tourism field and expands industry practitioners’ comprehension of dominant dining-out themes and emotional responses among distinct consumer groups.

Kaynakça

  • Abbasi, M. M., & Beltiukov, A. P. (2019). Summarizing emotions from text using Plutchik’s wheel of emotions. In Scientific Conference on Information Technologies for Intelligent Decision Making Support, 291-294.
  • Alzahrani, F. (2016). Communication difference between men and women in social media. International Journal of Scientific & Engineering Research, 7(4), 981-982.
  • Arnold, M. B. (1960). Emotion and personality. New York: Columbia University Press.
  • Atabay, L., & Cizel, B. (2020). Comparative content analysis of hotel reviews by mass tourism destinations. Journal of Tourism and Services, 21(11), 147-166.
  • Atadil, H. A., Berezina, K., Yilmaz, B., & Cobanoglu, C. (2010). An analysis of the usage of Facebook and twitter as a marketing tool in hotels. Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 11(2), 119-125.
  • Aydin, G. (2020). Social media engagement and organic post effectiveness: A roadmap for increasing the effectiveness. Journal of Hospitality Marketing & Management, 29(1), 1-21.
  • Baesens, B., Bapna, R., Marsden, J. R., Vanthienen, J., & Zhao, J. L. (2016). Transformational issues of big data and analytics in networked business. MIS quarterly, 40(4), 629-631.
  • Barker, V. (2009). Older adolescents' motivations for social network site use: The influence of gender, group identity, and collective self-esteem. Cyberpsychology & behavior, 12(2), 209-213.
  • Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zhang, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11, 167–203.
  • Ben-Shaul, M., & Reichel, A. (2018). Motives, modes of participation, and loyalty intentions of Facebook tourism brand page consumers. Journal of Travel Research, 57(4), 453-471.
  • Bertola, F., & Patti, V. (2013). Emotional responses to artworks in online collections. Proceedings of 6th International Workshop on Personalized Access to Cultural Heritage, PATCH 2013, CEUR Workshop 997, 1-12.
  • Bhattacharya, J. (2015). Why you need a segmented digital marketing strategy. Retrieved January 29, 2020, from https://www.semrush.com/blog/why-you-need-a-segmented-digital-marketing-strategy
  • Bougie, R., Pieters, R., & Zeelenberg, M. (2003). Angry customers don't come back, they get back: The experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393.
  • Brady, M. K., & Cronin Jr, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of Marketing, 65(3), 34-49.
  • Brody, S., & Elhadad, N. (2010). An unsupervised aspect-sentiment model for online reviews. In Proceedings of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 804-812.
  • Butt, M., & Sultan, M. T. (2011). Coffee and its consumption: benefits and risks. Critical Reviews in Food Science and Nutrition, 51(4), 363-373.
  • Calheiros, A. C., Moro, S., & Rita, P. (2017). Sentiment classification of consumer-generated online reviews using topic modeling. Journal of Hospitality Marketing & Management, 26(7), 675-693.
  • Capatina, A., Micu, A., Micu, A., Bouzaabia, R., & Bouzaabia, O. (2018). Country-based comparison of accommodation brands in social media: an fsQCA approach. Journal of Business Research, 89(8), 235-242.
  • Cauce, A. M., Mason, C., Gonzales, N., Hiraga, Y., & Liu, G. (1994). Social support during adolescence: Methodological and theoretical considerations. In F. Nestmann & K. Hurrelmann (Eds.), Social networks and social support in childhood and adolescence (pp. 89-108). New York: Walter de Gruyter.
  • Centers for Disease Control and Prevention (2016). Adult Obesity Facts. Retrieved September 18, 2018, from https://www.cdc.gov/obesity/data/adult.html
  • Cervellon, M., & Galipienzo. D. (2015). Facebook pages content, does it really matter? Consumers’ responses to luxury hotel posts with emotional and informational content. Journal of Travel & Tourism Marketing, 32(4), 428-437.
  • Chafale, D., & Pimpalkar, A. (2014). Review on developing corpora for sentiment analysis using plutchik’s wheel of emotions with fuzzy logic. International Journal of Computer Sciences and Engineering (IJCSE), 2(10), 14-18.
  • Chatterjee, P. (2011). Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising, 30(1), 77-101.
  • Choi, E., Fowler, D., Goh, B., & Yuan, J. (2016). Social media marketing: applying the uses and gratifications theory in the hotel industry. Journal of Hospitality Marketing & Management, 25(7), 771-796.
  • Connor, P. O. (2011). An analysis of the use of Facebook by international hotel chains. Retrieved February 2, 2020, from https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1675&context=refereed
  • Cowen, A.S., & Keltner, D. (2017). Self-report captures 27 distinct categories of emotion bridged by continuous gradients. In Proceedings of the National Academy of Sciences, 114(38), 7900-7909.
  • Dave, J. M., An, L. C., Jeffery, R. W., & Ahluwalia, J. S. (2009). Relationship of attitudes toward fast food and frequency of fast‐food intake in adults. Obesity, 17(6), 1164-1170.
  • DeWall, C. N., Baumeister, R. F., Chester, D. S., & Bushman, B. J. (2016). How often does currently felt emotion predict social behavior and judgment? A meta-analytic test of two theories. Emotion Review, 8(2), 136-143.
  • Ekman, P. (1992). An argument for basic emotions. Cognition & Emotion, 6(3-4), 169-200.
  • Enter, N., & Michopoulou, E. (2013). An investigation on the acceptance of Facebook by travellers for travel planning. E-Review of Tourism Research, 1(4), 1-5.
  • Escobar-Rodríguez, T., Grávalos-Gastaminza, M., & Pérez-Calañas, C. (2017). Facebook and the intention of purchasing tourism products: moderating effects of gender, age and marital status. Scandinavian Journal of Hospitality and Tourism, 17(2), 129-144.
  • Felbermayr, A., & Nanopoulos, A. (2016). The role of emotions for the perceived usefulness in online customer reviews. Journal of Interactive Marketing, 36, 60-76.
  • Furst, T., Connors, M., Bisogni, C. A, Sobal, J., & Falk, L. W. (1996). Food choice: a conceptual model of the process. Appetite, 26(3), 247-266.
  • Garcia, D., & Sikström, S. (2014). The dark side of Facebook: Semantic representations of status updates predict the Dark Triad of personality. Personality and Individual Differences, 67, 92-96.
  • Gruss, R., Kim, E., & Abrahams, A. (2020). Engaging restaurant customers on Facebook: The power of belongingness appeals on social media. Journal of Hospitality & Tourism Research, 44(2), 201-228.
  • Gunter, U. I., Önder, I., & Gindl, S. (2019). Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria. Tourism Economics, 25(3), 375-401.
  • Guo, Y., Barnes, S. J., & Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59, 467-483.
  • Harrington, R.J., Ottenbacher, M. C., & Way, K. A. (2013). QSR choice: Key restaurant attributes and the roles of gender, age and dining frequency. Journal of Quality Assurance in Hospitality & Tourism, 14(1), 81-100.
  • Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional contagion. Current Directions in Psychological Science, 2(3), 96-100.
  • Hawn, C. (2009). Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care. Health Affairs, 28(2), 361-368.
  • Hellmich, N. (2014). Retirees get creative to eat cheap at restaurants. Retrieved July 8, 2018, from https://www.usatoday.com/story/money/personalfinance/2014/08/05/retirees-dining-out-retirement/13429455/
  • Heo, C., & Hyun, S. (2015). Do luxury room amenities affect guests’ willingness to pay? International Journal of Hospitality Management, 46, 161-168.
  • Herzig, J., Feigenblat, G., Shmueli-Scheuer, M., Konopnicki, D., & Rafaeli, A. (2016). Predicting customer satisfaction in customer support conversations in social media using affective features. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 115-119.
  • Heung, V.C.S. (2002). American theme restaurants: A study of consumer's perceptions of the important attributes in restaurant selection. Asia Pacific Journal of Tourism Research, 7 (1), 19-28.
  • Holladay, S. J. (2002). “Have fun while you can,” “You're only as old as you feel,” and “Don't ever get old!”: An examination of memorable messages about aging. Journal of Communication, 52(4), 681-697.
  • Hong, L., & Davison, B.D. (2010). Empirical study of topic modeling in twitter. Proceedings of the first workshop on social media analytics, 80-88.
  • Hsu, Y.L. (2012). Facebook as international eMarketing strategy of Taiwan hotels. International Journal of Hospitality Management, 31(3), 972-980.
  • Huang, J. (2017). The dining experience of Beijing Roast Duck: A comparative study of the Chinese and English online consumer reviews. International Journal of Hospitality Management, 66, 117-129.
  • Jeong, B., Yoon, J. & Lee, J. (2019). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management, 48(Oct), 280-290.
  • Kang, J., Tang, L., & Fiore, A. (2014). Enhancing consumer–brand relationships on restaurant Facebook fan pages: Maximizing consumer benefits and increasing active participation. International Journal of Hospitality Management, 36(Jan), 145-155.
  • Karabulut, Y. (2013). Can facebook predict stock market activity?. AFA 2013 San Diego Meetings Paper, 1-60.
  • Kardes, F. R., Cronley, M. L., & Cline, T. W. (2014). Consumer behavior. KY: Cengage Learning.
  • Ketter, E. (2016). Destination image restoration on Facebook: The case study of Nepal's Gurkha Earthquake. Journal of Hospitality and Tourism Management, 28(Sep), 66-72.
  • Khan, M. L., & Boehmer, J. (2013). Small business use of Facebook for marketing: the case of a family owned Mediterranean restaurant. Retrieved September 19, 2018, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2579508
  • Kim, E., & Geistfeld, L.V. (2003). Consumers' restaurant choice behavior and the impact of socio-economic and demographic factors. Journal of Foodservice Business Research, 6(1), 3-24.
  • Kim, E., & Tang, L. (2016). Rectifying failure of service: how customer perceptions of justice affect their emotional response and social media testimonial. Journal of Hospitality Marketing & Management, 25(8), 897-924.
  • Kuhns, A., & Saksena, M. (2017). Food purchase decisions of millennial households compared to other generations. Economic Information Bulletin, 186, 1-2.
  • Kwok, L., & Yu, B. (2013). Spreading social media messages on Facebook: An analysis of restaurant business-to-consumer communications. Cornell Hospitality Quarterly, 54(1), 84-94.
  • Kwok, L., Xie, K. L. & Richards, T. (2017). Thematic framework of online review research: A systematic analysis of contemporary literature on seven major hospitality and tourism journals. International Journal of Contemporary Hospitality Management, 29(1), 307-354.
  • Kwon, W., Lee, M., & Bowen, J. T. (2022). Exploring Customers’ Luxury Consumption in Restaurants: A Combined Method of Topic Modeling and Three-Factor Theory. Cornell Hospitality Quarterly, 63(1), 66-77.
  • Lalicic, L., Huertas, A., Moreno, A., & Jabreel, M. (2020). Emotional brand communication on Facebook and Twitter: are DMOS successful? Journal of Destination Marketing & Management, 16, 100350.
  • Lam, W., & Chen, Z. (2012). When I put on my service mask: Determinants and outcomes of emotional labor among hotel service providers according to affective event theory. International Journal of Hospitality Management, 31(1), 3-11.
  • Lee, W., Xiong, L. & Hu, C. (2012). The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model. International Journal of Hospitality Management, 31(3), 819-827.
  • Leung, X. (2012). The marketing effectiveness of hotel Facebook pages: from perspectives of customers and messages. Dissertation at University of Nevada Las Vegas, Las Vegas, NV.
  • Leung, X.Y., Bai, B., & Erdem, M. (2017). Hotel social media marketing: a study on message strategy and its effectiveness. Journal of Hospitality and Tourism Technology, 8(2), 239-255.
  • Leung, X. Y., Bai, B., & Stahura, K. A. (2015). The marketing effectiveness of social media in the hotel industry: A comparison of Facebook and Twitter. Journal of Hospitality & Tourism Research, 39(2), 147-169.
  • Leung, X. Y., & Jiang, L. (2018). How do destination Facebook pages work? An extended TPB model of fans’ visit intention. Journal of Hospitality and Tourism Technology, 9(3), 397-416.
  • Leung, X. Y., & Tanford, S. (2016). What drives Facebook fans to “like” hotel pages: A comparison of three competing models. Journal of Hospitality Marketing & Management, 25(3), 314-345.
  • Leung, X., Tanford, S., & Jiang, L. (2017). Is a picture really worth a thousand words? An experiment on hotel Facebook message effectiveness. Journal of Hospitality and Tourism Technology, 8(1), 19-38.
  • Lo, Y. C., & Fang, C. (2018). Facebook marketing campaign benchmarking for a franchised hotel. International Journal of Contemporary Hospitality Management, 30(3), 1705-1723.
  • Luo, Y., & Tang, R. L. (2019). Understanding hidden dimensions in textual reviews on Airbnb: An application of modified latent aspect rating analysis (LARA). International Journal of Hospitality Management, 80, 144-154.
  • Luo, Y., Tang, L., Kim, E., & Wang, X. (2020). Finding the reviews on yelp that actually matter to me: Innovative approach of improving recommender systems. International Journal of Hospitality Management, 91, 102697.
  • Ma, E., Qu, H., & Eliwa, R. A. (2014). Customer loyalty with fine dining: The moderating role of gender. Journal of Hospitality Marketing & Management, 23(5), 513-535.
  • Ma, E., Qu, H., & Njite, D. (2011). US customer perceptions toward Chinese restaurant service quality: An importance and performance approach. Journal of Foodservice Business Research, 14(3), 290-308.
  • MacWilliams, M. C. (2015). Forecasting congressional elections using Facebook data. PS, Political Science & Politics, 48(4), 579-583.
  • Mariani, M., Styven, M. & Ayeh, J. K. (2019). Using Facebook for travel decision-making: an international study of antecedents. International Journal of Contemporary Hospitality Management, 31(2), 1021-1044.
  • Mariani, M. M., Felice, M., & Mura, M. (2016). Facebook as a destination marketing tool: Evidence from Italian regional destination management organizations. Tourism Management, 54(Jun), 321-343.
  • Meeroona (2018). 33 Types of Restaurants from Around the World. Retrieved September 25, 2018, from https://travelaway.me/restaurant-types
  • Menchin, R. S. (2000). The mature market a gold mine of ideas for tapping the 50+ market to Excel. NE: Lincoln.
  • Minazzi, R., & Lagrosen, S. (2014). Investigating social media marketing in the hospitality industry: Facebook and European hotels. Information and Communication Technologies in Tourism 2014, 145-157.
  • Miner, G., Elder IV, J., Fast, A., Hill, T., Nisbet, R. & Delen, D. (2012). Practical text mining and statistical analysis for non-structured text data applications. MA: Academic Press.
  • Mizrachi, I., & Sellitto, C. (2015). Building a Facebook strategy: Some insights from Australian accommodation small tourism enterprises (STEs). Journal of Quality Assurance in Hospitality & Tourism, 16(1), 63-79.
  • Mohammad, S. M., & Turney, P. D. (2013). Crowdsourcing a word–emotion association lexicon. Computational Intelligence, 29(3), 436-465.
  • Möller, C., Wang, J. & Nguyen, H. (2018). # Strongerthanwinston: Tourism and crisis communication through Facebook following tropical cyclones in Fiji. Tourism Management, 69(Dec), 272-284.
  • Moreno, M. A., Jelenchick, L. A., Egan, K. G., Cox, E., Young, H., Gannon, K.E., & Becker, T. (2011). Feeling bad on Facebook: Depression disclosures by college students on a social networking site. Depression and Anxiety, 28(6), 447-455.
  • Moya, M., & Jain, R. (2013). When tourists are your “friends”: Exploring the brand personality of Mexico and Brazil on Facebook. Public Relations Review, 39(1), 23-29.
  • Mulligan, K., & Scherer, K. R. (2012). Toward a working definition of emotion. Emotion Review, 4(4), 345-357.
  • Muralidharan, S., Rasmussen, L., Patterson, D., & Shin, J. (2011). Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts. Public Relations Review, 37(2), 175-177.
  • Nidhi, M. (2017). Optimal number of topics for LDA. Retrieved February 12, 2020, from https://www.rpubs.com/MNidhi/NumberoftopicsLDA
  • Park, J., Lee, C., Yoo, C. & Nam, Y. (2016). An analysis of the utilization of Facebook by local Korean governments for tourism development and the network of smart tourism ecosystem. International Journal of Information Management, 36(6), 1320-1327.
  • Pennebaker, J.W., Boyd, R.L., Jordan, K., & Blackburn, K. (2015). The Development and Psychometric Properties of LIWC2015 Austin, TX. University of Texas at Austin 1-26.
  • Pérez-Vega, R., Taheri, B., Farrington, T. & O'Gorman, K. (2018). On being attractive, social and visually appealing in social media: The effects of anthropomorphic tourism brands on Facebook fan pages. Tourism Management, 66(Jun), 339-347.
  • Perse, E.M. (1990). Involvement with local television news: Cognitive and emotional dimensions. Human Communication Research, 16(4), 556-581.
  • Pfister, H., & Böhm, G. (2008). The multiplicity of emotions: A framework of emotional functions in decision making. Judgment and Decision Making, 3(1), 5-17.
  • Phelan, K. V., Chen, H.-T. & Haney, M. (2013). “Like” and “Check-in”: how hotels utilize Facebook as an effective marketing tool. Journal of Hospitality and Tourism Technology, 4(2), 134-154.
  • Plutchik, R. (1994). The psychology and biology of emotion. NY: Harper-Collins.
  • Pollack, B. (2009). Linking the hierarchical service quality model to customer satisfaction and loyalty. Journal of Services Marketing, 23(1), 42-50.
  • Poria, Y. (2008). Gender—A crucial neglected element in the service encounter: An exploratory study of the choice of hotel masseur or masseuse. Journal of Hospitality & Tourism Research, 32(2), 151-168.
  • Rahmani, K., Gnoth, J., & Mather, D. (2019). A psycholinguistic view of tourists’ emotional experiences. Journal of Travel Research, 58(2), 192-206.
  • Richard, J., & Guppy, S. (2014). Facebook: Investigating the influence on consumer purchase intention. Asian Journal of Business Research, 4(2), 1-10.
  • Rossetti, M., Stella, F., & Zanker (2016). Analyzing user reviews in tourism with topic models. Information Technology & Tourism, 16, 5-21.
  • Senders, A., Govers, R., & Neuts, B. (2013). Social media affecting tour operators' customer loyalty. Journal of Travel & Tourism Marketing, 30(1-2), 41-57.
  • Solomon, R. C., & Stone, L. D. (2002). On “positive” and “negative” emotions. Journal of the Theory of Social Behaviour, 32(4), 417-435.
  • Stillwell, D., & Kosinski, M. (2018). Mypersonality in a nutshell. Retrieved September 20, 2017, from https://sites.google.com/michalkosinski.com/mypersonality
  • Stout, D. W. (2018). Social media statistics 2018: what you need to know. Retrieved July 12, 2018, from https://dustn.tv/social-media-statistics/#facebook-stats (accessed).
  • Su, N., Reynolds, D., & Sun, B. (2015). How to make your Facebook posts attractive: A case study of a leading budget hotel brand fan page. International Journal of Contemporary Hospitality Management, 27(8), 1772-1790.
  • Sun, M., Ryan, C. & Pan, S. (2014). Assessing tourists' perceptions and behaviour through photographic and blog analysis: the case of Chinese bloggers and New Zealand holidays. Tourism Management Perspectives, 12, 125-133.
  • Tang, L., Hurst, J.L., Niehm, L.S., Fiore, A., Dorie, A., Jablon-Roberts, S. (2020). Re-conceptualizing the hierarchical service quality model: the case of agritourism events. Event Management, 24(2-3), 389-407.
  • The Psychometric Centre. (2018). MyPersonality database. Retrieved July 5, 2018, from https://www.psychometrics.cam.ac.uk/productsservices/mypersonality/
  • Touni, R., Kim, W.G., Choi, H.M. & Ali, M.A. (2020). Antecedents and an outcome of customer engagement with hotel brand community on Facebook. Journal of Hospitality & Tourism Research, 44(2), 278-299.
  • Tversky, A., & Thaler, R. H. (1990). Anomalies: preference reversals. Journal of Economic Perspectives, 4(2), 201-211.
  • US Department of Agriculture (2016). Food access research atlas. Retrieved September 18, 2018, from https://www.ers.usda.gov/data/fooddesert
  • US Department of Agriculture (2019). Fast Restaurants Atlas. Retrieved February 12, 2020, from https://www.ers.usda.gov/data-products/food-environment-atlas/go-to-the-atlas
  • US Department of Agriculture Economic Research Service (2018). America’s eating habits: food away from home. Retrieved September 18, 2018, from https://www.ers.usda.gov/webdocs/publications/90228/eib-196.pdf
  • Wang, C., & Kubickova, M. (2017). The impact of engaged users on eWOM of hotel Facebook page. Journal of Hospitality and Tourism Technology, 8(2), 190-204.
  • Wang, H. (2016). Predicting customers’ intentions to check in on Facebook while patronizing hospitality firms. Service Business, 10(1), 201-222.
  • Wang, X., Tang, L., & Kim, E. (2019). More than words: Do emotional content and linguistic style matching matter on restaurant review helpfulness? International Journal of Hospitality Management, 77, 438-447.
  • Wattanacharoensil, W., & Schuckert, M. (2015). How global airports engage social media users: a study of Facebook use and its role in stakeholder communication. Journal of Travel & Tourism Marketing, 32(6), 656-676.
  • Wen, H., Park, E., Tao, C. W., Chae, B., Li, X., & Kwon, J. (2020). Exploring user-generated content related to dining experiences of consumers with food allergies. International Journal of Hospitality Management, 85, 102357.
  • White, L. (2010). Facebook, friends and photos: A snapshot into social networking for generating travel ideas. In N. Sharda (Ed.), Tourism informatics: Visual travel recommender systems, social communities, and user interface design (pp. 115-129). IGI Global, Hershey, PA.
  • Wikipedia (2018). List of restaurant chains in the United States. Retrieved September 24, 2018, from https://en.wikipedia.org/wiki/List_of_restaurant_chains_in_the_United_States
  • Wilkie, W. L., & Pessemier, E. A. (1973). Issues in marketing's use of multi-attribute attitude models. Journal of Marketing Research, 10(4), 428-441.
  • Winsight (2018). Restaurant Business. Retrieved September 24, 2018, from http://www.restaurantbusinessonline.com
  • Xiang, Z., Schwartz, Z., Gerdes Jr, J.H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44(Jan), 120-130.
  • Xu, X. (2018). Examining the relevance of online customer textual reviews on hotels’ product and service attributes. Journal of Hospitality & Tourism Research, 43(1), 141-163.
  • Yamaguchi, S., Sakaguchi, H., & Iyanaga, K. (2018). The boosting effect of e-WOM on macro-level consumption: a cross-industry empirical analysis in Japan. The Review of Socionetwork Strategies, 12, 167-181.
  • Yiannas, F. (2008). Food safety culture: Creating a behavior-based food safety management. NY: Springer Science.
  • Yildirim, K., & Akalin-Baskaya, A. (2007). Perceived crowding in a café/restaurant with different seating densities. Building and Environment, 42(9), 3410-3417.
  • Zhang, Z., Ye, Q., Zhang, Z., & Li, Y. (2011). Sentiment classification of Internet restaurant reviews written in Cantonese. Expert Systems with Applications, 38(6), 7674-7682.

Yıl 2022, Cilt 10, Sayı 3, 448 - 479, 01.09.2022
https://doi.org/10.30519/ahtr.923881

Öz

Kaynakça

  • Abbasi, M. M., & Beltiukov, A. P. (2019). Summarizing emotions from text using Plutchik’s wheel of emotions. In Scientific Conference on Information Technologies for Intelligent Decision Making Support, 291-294.
  • Alzahrani, F. (2016). Communication difference between men and women in social media. International Journal of Scientific & Engineering Research, 7(4), 981-982.
  • Arnold, M. B. (1960). Emotion and personality. New York: Columbia University Press.
  • Atabay, L., & Cizel, B. (2020). Comparative content analysis of hotel reviews by mass tourism destinations. Journal of Tourism and Services, 21(11), 147-166.
  • Atadil, H. A., Berezina, K., Yilmaz, B., & Cobanoglu, C. (2010). An analysis of the usage of Facebook and twitter as a marketing tool in hotels. Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 11(2), 119-125.
  • Aydin, G. (2020). Social media engagement and organic post effectiveness: A roadmap for increasing the effectiveness. Journal of Hospitality Marketing & Management, 29(1), 1-21.
  • Baesens, B., Bapna, R., Marsden, J. R., Vanthienen, J., & Zhao, J. L. (2016). Transformational issues of big data and analytics in networked business. MIS quarterly, 40(4), 629-631.
  • Barker, V. (2009). Older adolescents' motivations for social network site use: The influence of gender, group identity, and collective self-esteem. Cyberpsychology & behavior, 12(2), 209-213.
  • Baumeister, R. F., Vohs, K. D., DeWall, C. N., & Zhang, L. (2007). How emotion shapes behavior: Feedback, anticipation, and reflection, rather than direct causation. Personality and Social Psychology Review, 11, 167–203.
  • Ben-Shaul, M., & Reichel, A. (2018). Motives, modes of participation, and loyalty intentions of Facebook tourism brand page consumers. Journal of Travel Research, 57(4), 453-471.
  • Bertola, F., & Patti, V. (2013). Emotional responses to artworks in online collections. Proceedings of 6th International Workshop on Personalized Access to Cultural Heritage, PATCH 2013, CEUR Workshop 997, 1-12.
  • Bhattacharya, J. (2015). Why you need a segmented digital marketing strategy. Retrieved January 29, 2020, from https://www.semrush.com/blog/why-you-need-a-segmented-digital-marketing-strategy
  • Bougie, R., Pieters, R., & Zeelenberg, M. (2003). Angry customers don't come back, they get back: The experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393.
  • Brady, M. K., & Cronin Jr, J. J. (2001). Some new thoughts on conceptualizing perceived service quality: a hierarchical approach. Journal of Marketing, 65(3), 34-49.
  • Brody, S., & Elhadad, N. (2010). An unsupervised aspect-sentiment model for online reviews. In Proceedings of the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 804-812.
  • Butt, M., & Sultan, M. T. (2011). Coffee and its consumption: benefits and risks. Critical Reviews in Food Science and Nutrition, 51(4), 363-373.
  • Calheiros, A. C., Moro, S., & Rita, P. (2017). Sentiment classification of consumer-generated online reviews using topic modeling. Journal of Hospitality Marketing & Management, 26(7), 675-693.
  • Capatina, A., Micu, A., Micu, A., Bouzaabia, R., & Bouzaabia, O. (2018). Country-based comparison of accommodation brands in social media: an fsQCA approach. Journal of Business Research, 89(8), 235-242.
  • Cauce, A. M., Mason, C., Gonzales, N., Hiraga, Y., & Liu, G. (1994). Social support during adolescence: Methodological and theoretical considerations. In F. Nestmann & K. Hurrelmann (Eds.), Social networks and social support in childhood and adolescence (pp. 89-108). New York: Walter de Gruyter.
  • Centers for Disease Control and Prevention (2016). Adult Obesity Facts. Retrieved September 18, 2018, from https://www.cdc.gov/obesity/data/adult.html
  • Cervellon, M., & Galipienzo. D. (2015). Facebook pages content, does it really matter? Consumers’ responses to luxury hotel posts with emotional and informational content. Journal of Travel & Tourism Marketing, 32(4), 428-437.
  • Chafale, D., & Pimpalkar, A. (2014). Review on developing corpora for sentiment analysis using plutchik’s wheel of emotions with fuzzy logic. International Journal of Computer Sciences and Engineering (IJCSE), 2(10), 14-18.
  • Chatterjee, P. (2011). Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising, 30(1), 77-101.
  • Choi, E., Fowler, D., Goh, B., & Yuan, J. (2016). Social media marketing: applying the uses and gratifications theory in the hotel industry. Journal of Hospitality Marketing & Management, 25(7), 771-796.
  • Connor, P. O. (2011). An analysis of the use of Facebook by international hotel chains. Retrieved February 2, 2020, from https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1675&context=refereed
  • Cowen, A.S., & Keltner, D. (2017). Self-report captures 27 distinct categories of emotion bridged by continuous gradients. In Proceedings of the National Academy of Sciences, 114(38), 7900-7909.
  • Dave, J. M., An, L. C., Jeffery, R. W., & Ahluwalia, J. S. (2009). Relationship of attitudes toward fast food and frequency of fast‐food intake in adults. Obesity, 17(6), 1164-1170.
  • DeWall, C. N., Baumeister, R. F., Chester, D. S., & Bushman, B. J. (2016). How often does currently felt emotion predict social behavior and judgment? A meta-analytic test of two theories. Emotion Review, 8(2), 136-143.
  • Ekman, P. (1992). An argument for basic emotions. Cognition & Emotion, 6(3-4), 169-200.
  • Enter, N., & Michopoulou, E. (2013). An investigation on the acceptance of Facebook by travellers for travel planning. E-Review of Tourism Research, 1(4), 1-5.
  • Escobar-Rodríguez, T., Grávalos-Gastaminza, M., & Pérez-Calañas, C. (2017). Facebook and the intention of purchasing tourism products: moderating effects of gender, age and marital status. Scandinavian Journal of Hospitality and Tourism, 17(2), 129-144.
  • Felbermayr, A., & Nanopoulos, A. (2016). The role of emotions for the perceived usefulness in online customer reviews. Journal of Interactive Marketing, 36, 60-76.
  • Furst, T., Connors, M., Bisogni, C. A, Sobal, J., & Falk, L. W. (1996). Food choice: a conceptual model of the process. Appetite, 26(3), 247-266.
  • Garcia, D., & Sikström, S. (2014). The dark side of Facebook: Semantic representations of status updates predict the Dark Triad of personality. Personality and Individual Differences, 67, 92-96.
  • Gruss, R., Kim, E., & Abrahams, A. (2020). Engaging restaurant customers on Facebook: The power of belongingness appeals on social media. Journal of Hospitality & Tourism Research, 44(2), 201-228.
  • Gunter, U. I., Önder, I., & Gindl, S. (2019). Exploring the predictive ability of LIKES of posts on the Facebook pages of four major city DMOs in Austria. Tourism Economics, 25(3), 375-401.
  • Guo, Y., Barnes, S. J., & Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59, 467-483.
  • Harrington, R.J., Ottenbacher, M. C., & Way, K. A. (2013). QSR choice: Key restaurant attributes and the roles of gender, age and dining frequency. Journal of Quality Assurance in Hospitality & Tourism, 14(1), 81-100.
  • Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional contagion. Current Directions in Psychological Science, 2(3), 96-100.
  • Hawn, C. (2009). Take two aspirin and tweet me in the morning: how Twitter, Facebook, and other social media are reshaping health care. Health Affairs, 28(2), 361-368.
  • Hellmich, N. (2014). Retirees get creative to eat cheap at restaurants. Retrieved July 8, 2018, from https://www.usatoday.com/story/money/personalfinance/2014/08/05/retirees-dining-out-retirement/13429455/
  • Heo, C., & Hyun, S. (2015). Do luxury room amenities affect guests’ willingness to pay? International Journal of Hospitality Management, 46, 161-168.
  • Herzig, J., Feigenblat, G., Shmueli-Scheuer, M., Konopnicki, D., & Rafaeli, A. (2016). Predicting customer satisfaction in customer support conversations in social media using affective features. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 115-119.
  • Heung, V.C.S. (2002). American theme restaurants: A study of consumer's perceptions of the important attributes in restaurant selection. Asia Pacific Journal of Tourism Research, 7 (1), 19-28.
  • Holladay, S. J. (2002). “Have fun while you can,” “You're only as old as you feel,” and “Don't ever get old!”: An examination of memorable messages about aging. Journal of Communication, 52(4), 681-697.
  • Hong, L., & Davison, B.D. (2010). Empirical study of topic modeling in twitter. Proceedings of the first workshop on social media analytics, 80-88.
  • Hsu, Y.L. (2012). Facebook as international eMarketing strategy of Taiwan hotels. International Journal of Hospitality Management, 31(3), 972-980.
  • Huang, J. (2017). The dining experience of Beijing Roast Duck: A comparative study of the Chinese and English online consumer reviews. International Journal of Hospitality Management, 66, 117-129.
  • Jeong, B., Yoon, J. & Lee, J. (2019). Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis. International Journal of Information Management, 48(Oct), 280-290.
  • Kang, J., Tang, L., & Fiore, A. (2014). Enhancing consumer–brand relationships on restaurant Facebook fan pages: Maximizing consumer benefits and increasing active participation. International Journal of Hospitality Management, 36(Jan), 145-155.
  • Karabulut, Y. (2013). Can facebook predict stock market activity?. AFA 2013 San Diego Meetings Paper, 1-60.
  • Kardes, F. R., Cronley, M. L., & Cline, T. W. (2014). Consumer behavior. KY: Cengage Learning.
  • Ketter, E. (2016). Destination image restoration on Facebook: The case study of Nepal's Gurkha Earthquake. Journal of Hospitality and Tourism Management, 28(Sep), 66-72.
  • Khan, M. L., & Boehmer, J. (2013). Small business use of Facebook for marketing: the case of a family owned Mediterranean restaurant. Retrieved September 19, 2018, from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2579508
  • Kim, E., & Geistfeld, L.V. (2003). Consumers' restaurant choice behavior and the impact of socio-economic and demographic factors. Journal of Foodservice Business Research, 6(1), 3-24.
  • Kim, E., & Tang, L. (2016). Rectifying failure of service: how customer perceptions of justice affect their emotional response and social media testimonial. Journal of Hospitality Marketing & Management, 25(8), 897-924.
  • Kuhns, A., & Saksena, M. (2017). Food purchase decisions of millennial households compared to other generations. Economic Information Bulletin, 186, 1-2.
  • Kwok, L., & Yu, B. (2013). Spreading social media messages on Facebook: An analysis of restaurant business-to-consumer communications. Cornell Hospitality Quarterly, 54(1), 84-94.
  • Kwok, L., Xie, K. L. & Richards, T. (2017). Thematic framework of online review research: A systematic analysis of contemporary literature on seven major hospitality and tourism journals. International Journal of Contemporary Hospitality Management, 29(1), 307-354.
  • Kwon, W., Lee, M., & Bowen, J. T. (2022). Exploring Customers’ Luxury Consumption in Restaurants: A Combined Method of Topic Modeling and Three-Factor Theory. Cornell Hospitality Quarterly, 63(1), 66-77.
  • Lalicic, L., Huertas, A., Moreno, A., & Jabreel, M. (2020). Emotional brand communication on Facebook and Twitter: are DMOS successful? Journal of Destination Marketing & Management, 16, 100350.
  • Lam, W., & Chen, Z. (2012). When I put on my service mask: Determinants and outcomes of emotional labor among hotel service providers according to affective event theory. International Journal of Hospitality Management, 31(1), 3-11.
  • Lee, W., Xiong, L. & Hu, C. (2012). The effect of Facebook users’ arousal and valence on intention to go to the festival: Applying an extension of the technology acceptance model. International Journal of Hospitality Management, 31(3), 819-827.
  • Leung, X. (2012). The marketing effectiveness of hotel Facebook pages: from perspectives of customers and messages. Dissertation at University of Nevada Las Vegas, Las Vegas, NV.
  • Leung, X.Y., Bai, B., & Erdem, M. (2017). Hotel social media marketing: a study on message strategy and its effectiveness. Journal of Hospitality and Tourism Technology, 8(2), 239-255.
  • Leung, X. Y., Bai, B., & Stahura, K. A. (2015). The marketing effectiveness of social media in the hotel industry: A comparison of Facebook and Twitter. Journal of Hospitality & Tourism Research, 39(2), 147-169.
  • Leung, X. Y., & Jiang, L. (2018). How do destination Facebook pages work? An extended TPB model of fans’ visit intention. Journal of Hospitality and Tourism Technology, 9(3), 397-416.
  • Leung, X. Y., & Tanford, S. (2016). What drives Facebook fans to “like” hotel pages: A comparison of three competing models. Journal of Hospitality Marketing & Management, 25(3), 314-345.
  • Leung, X., Tanford, S., & Jiang, L. (2017). Is a picture really worth a thousand words? An experiment on hotel Facebook message effectiveness. Journal of Hospitality and Tourism Technology, 8(1), 19-38.
  • Lo, Y. C., & Fang, C. (2018). Facebook marketing campaign benchmarking for a franchised hotel. International Journal of Contemporary Hospitality Management, 30(3), 1705-1723.
  • Luo, Y., & Tang, R. L. (2019). Understanding hidden dimensions in textual reviews on Airbnb: An application of modified latent aspect rating analysis (LARA). International Journal of Hospitality Management, 80, 144-154.
  • Luo, Y., Tang, L., Kim, E., & Wang, X. (2020). Finding the reviews on yelp that actually matter to me: Innovative approach of improving recommender systems. International Journal of Hospitality Management, 91, 102697.
  • Ma, E., Qu, H., & Eliwa, R. A. (2014). Customer loyalty with fine dining: The moderating role of gender. Journal of Hospitality Marketing & Management, 23(5), 513-535.
  • Ma, E., Qu, H., & Njite, D. (2011). US customer perceptions toward Chinese restaurant service quality: An importance and performance approach. Journal of Foodservice Business Research, 14(3), 290-308.
  • MacWilliams, M. C. (2015). Forecasting congressional elections using Facebook data. PS, Political Science & Politics, 48(4), 579-583.
  • Mariani, M., Styven, M. & Ayeh, J. K. (2019). Using Facebook for travel decision-making: an international study of antecedents. International Journal of Contemporary Hospitality Management, 31(2), 1021-1044.
  • Mariani, M. M., Felice, M., & Mura, M. (2016). Facebook as a destination marketing tool: Evidence from Italian regional destination management organizations. Tourism Management, 54(Jun), 321-343.
  • Meeroona (2018). 33 Types of Restaurants from Around the World. Retrieved September 25, 2018, from https://travelaway.me/restaurant-types
  • Menchin, R. S. (2000). The mature market a gold mine of ideas for tapping the 50+ market to Excel. NE: Lincoln.
  • Minazzi, R., & Lagrosen, S. (2014). Investigating social media marketing in the hospitality industry: Facebook and European hotels. Information and Communication Technologies in Tourism 2014, 145-157.
  • Miner, G., Elder IV, J., Fast, A., Hill, T., Nisbet, R. & Delen, D. (2012). Practical text mining and statistical analysis for non-structured text data applications. MA: Academic Press.
  • Mizrachi, I., & Sellitto, C. (2015). Building a Facebook strategy: Some insights from Australian accommodation small tourism enterprises (STEs). Journal of Quality Assurance in Hospitality & Tourism, 16(1), 63-79.
  • Mohammad, S. M., & Turney, P. D. (2013). Crowdsourcing a word–emotion association lexicon. Computational Intelligence, 29(3), 436-465.
  • Möller, C., Wang, J. & Nguyen, H. (2018). # Strongerthanwinston: Tourism and crisis communication through Facebook following tropical cyclones in Fiji. Tourism Management, 69(Dec), 272-284.
  • Moreno, M. A., Jelenchick, L. A., Egan, K. G., Cox, E., Young, H., Gannon, K.E., & Becker, T. (2011). Feeling bad on Facebook: Depression disclosures by college students on a social networking site. Depression and Anxiety, 28(6), 447-455.
  • Moya, M., & Jain, R. (2013). When tourists are your “friends”: Exploring the brand personality of Mexico and Brazil on Facebook. Public Relations Review, 39(1), 23-29.
  • Mulligan, K., & Scherer, K. R. (2012). Toward a working definition of emotion. Emotion Review, 4(4), 345-357.
  • Muralidharan, S., Rasmussen, L., Patterson, D., & Shin, J. (2011). Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts. Public Relations Review, 37(2), 175-177.
  • Nidhi, M. (2017). Optimal number of topics for LDA. Retrieved February 12, 2020, from https://www.rpubs.com/MNidhi/NumberoftopicsLDA
  • Park, J., Lee, C., Yoo, C. & Nam, Y. (2016). An analysis of the utilization of Facebook by local Korean governments for tourism development and the network of smart tourism ecosystem. International Journal of Information Management, 36(6), 1320-1327.
  • Pennebaker, J.W., Boyd, R.L., Jordan, K., & Blackburn, K. (2015). The Development and Psychometric Properties of LIWC2015 Austin, TX. University of Texas at Austin 1-26.
  • Pérez-Vega, R., Taheri, B., Farrington, T. & O'Gorman, K. (2018). On being attractive, social and visually appealing in social media: The effects of anthropomorphic tourism brands on Facebook fan pages. Tourism Management, 66(Jun), 339-347.
  • Perse, E.M. (1990). Involvement with local television news: Cognitive and emotional dimensions. Human Communication Research, 16(4), 556-581.
  • Pfister, H., & Böhm, G. (2008). The multiplicity of emotions: A framework of emotional functions in decision making. Judgment and Decision Making, 3(1), 5-17.
  • Phelan, K. V., Chen, H.-T. & Haney, M. (2013). “Like” and “Check-in”: how hotels utilize Facebook as an effective marketing tool. Journal of Hospitality and Tourism Technology, 4(2), 134-154.
  • Plutchik, R. (1994). The psychology and biology of emotion. NY: Harper-Collins.
  • Pollack, B. (2009). Linking the hierarchical service quality model to customer satisfaction and loyalty. Journal of Services Marketing, 23(1), 42-50.
  • Poria, Y. (2008). Gender—A crucial neglected element in the service encounter: An exploratory study of the choice of hotel masseur or masseuse. Journal of Hospitality & Tourism Research, 32(2), 151-168.
  • Rahmani, K., Gnoth, J., & Mather, D. (2019). A psycholinguistic view of tourists’ emotional experiences. Journal of Travel Research, 58(2), 192-206.
  • Richard, J., & Guppy, S. (2014). Facebook: Investigating the influence on consumer purchase intention. Asian Journal of Business Research, 4(2), 1-10.
  • Rossetti, M., Stella, F., & Zanker (2016). Analyzing user reviews in tourism with topic models. Information Technology & Tourism, 16, 5-21.
  • Senders, A., Govers, R., & Neuts, B. (2013). Social media affecting tour operators' customer loyalty. Journal of Travel & Tourism Marketing, 30(1-2), 41-57.
  • Solomon, R. C., & Stone, L. D. (2002). On “positive” and “negative” emotions. Journal of the Theory of Social Behaviour, 32(4), 417-435.
  • Stillwell, D., & Kosinski, M. (2018). Mypersonality in a nutshell. Retrieved September 20, 2017, from https://sites.google.com/michalkosinski.com/mypersonality
  • Stout, D. W. (2018). Social media statistics 2018: what you need to know. Retrieved July 12, 2018, from https://dustn.tv/social-media-statistics/#facebook-stats (accessed).
  • Su, N., Reynolds, D., & Sun, B. (2015). How to make your Facebook posts attractive: A case study of a leading budget hotel brand fan page. International Journal of Contemporary Hospitality Management, 27(8), 1772-1790.
  • Sun, M., Ryan, C. & Pan, S. (2014). Assessing tourists' perceptions and behaviour through photographic and blog analysis: the case of Chinese bloggers and New Zealand holidays. Tourism Management Perspectives, 12, 125-133.
  • Tang, L., Hurst, J.L., Niehm, L.S., Fiore, A., Dorie, A., Jablon-Roberts, S. (2020). Re-conceptualizing the hierarchical service quality model: the case of agritourism events. Event Management, 24(2-3), 389-407.
  • The Psychometric Centre. (2018). MyPersonality database. Retrieved July 5, 2018, from https://www.psychometrics.cam.ac.uk/productsservices/mypersonality/
  • Touni, R., Kim, W.G., Choi, H.M. & Ali, M.A. (2020). Antecedents and an outcome of customer engagement with hotel brand community on Facebook. Journal of Hospitality & Tourism Research, 44(2), 278-299.
  • Tversky, A., & Thaler, R. H. (1990). Anomalies: preference reversals. Journal of Economic Perspectives, 4(2), 201-211.
  • US Department of Agriculture (2016). Food access research atlas. Retrieved September 18, 2018, from https://www.ers.usda.gov/data/fooddesert
  • US Department of Agriculture (2019). Fast Restaurants Atlas. Retrieved February 12, 2020, from https://www.ers.usda.gov/data-products/food-environment-atlas/go-to-the-atlas
  • US Department of Agriculture Economic Research Service (2018). America’s eating habits: food away from home. Retrieved September 18, 2018, from https://www.ers.usda.gov/webdocs/publications/90228/eib-196.pdf
  • Wang, C., & Kubickova, M. (2017). The impact of engaged users on eWOM of hotel Facebook page. Journal of Hospitality and Tourism Technology, 8(2), 190-204.
  • Wang, H. (2016). Predicting customers’ intentions to check in on Facebook while patronizing hospitality firms. Service Business, 10(1), 201-222.
  • Wang, X., Tang, L., & Kim, E. (2019). More than words: Do emotional content and linguistic style matching matter on restaurant review helpfulness? International Journal of Hospitality Management, 77, 438-447.
  • Wattanacharoensil, W., & Schuckert, M. (2015). How global airports engage social media users: a study of Facebook use and its role in stakeholder communication. Journal of Travel & Tourism Marketing, 32(6), 656-676.
  • Wen, H., Park, E., Tao, C. W., Chae, B., Li, X., & Kwon, J. (2020). Exploring user-generated content related to dining experiences of consumers with food allergies. International Journal of Hospitality Management, 85, 102357.
  • White, L. (2010). Facebook, friends and photos: A snapshot into social networking for generating travel ideas. In N. Sharda (Ed.), Tourism informatics: Visual travel recommender systems, social communities, and user interface design (pp. 115-129). IGI Global, Hershey, PA.
  • Wikipedia (2018). List of restaurant chains in the United States. Retrieved September 24, 2018, from https://en.wikipedia.org/wiki/List_of_restaurant_chains_in_the_United_States
  • Wilkie, W. L., & Pessemier, E. A. (1973). Issues in marketing's use of multi-attribute attitude models. Journal of Marketing Research, 10(4), 428-441.
  • Winsight (2018). Restaurant Business. Retrieved September 24, 2018, from http://www.restaurantbusinessonline.com
  • Xiang, Z., Schwartz, Z., Gerdes Jr, J.H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience and satisfaction? International Journal of Hospitality Management, 44(Jan), 120-130.
  • Xu, X. (2018). Examining the relevance of online customer textual reviews on hotels’ product and service attributes. Journal of Hospitality & Tourism Research, 43(1), 141-163.
  • Yamaguchi, S., Sakaguchi, H., & Iyanaga, K. (2018). The boosting effect of e-WOM on macro-level consumption: a cross-industry empirical analysis in Japan. The Review of Socionetwork Strategies, 12, 167-181.
  • Yiannas, F. (2008). Food safety culture: Creating a behavior-based food safety management. NY: Springer Science.
  • Yildirim, K., & Akalin-Baskaya, A. (2007). Perceived crowding in a café/restaurant with different seating densities. Building and Environment, 42(9), 3410-3417.
  • Zhang, Z., Ye, Q., Zhang, Z., & Li, Y. (2011). Sentiment classification of Internet restaurant reviews written in Cantonese. Expert Systems with Applications, 38(6), 7674-7682.

Ayrıntılar

Birincil Dil İngilizce
Konular Otelcilik, Konaklama, Spor ve Turizm
Bölüm Araştırma Makalesi
Yazarlar

Liang TANG> (Sorumlu Yazar)
Iowa State University
0000-0001-9284-980X
United States


Xi WANG Bu kişi benim
BNU-HKBU United International College
0000-0002-0566-5357
China


Eojina KİM Bu kişi benim
Virginia Tech
0000-0001-6405-6933
United States


Yi LUO Bu kişi benim
Capital University of Economics and Business
0000-0002-9322-7305
United States

Yayımlanma Tarihi 1 Eylül 2022
Başvuru Tarihi 21 Nisan 2021
Kabul Tarihi 16 Ağustos 2021
Yayınlandığı Sayı Yıl 2022, Cilt 10, Sayı 3

Kaynak Göster

APA Tang, L. , Wang, X. , Kim, E. & Luo, Y. (2022). What Do Customers Share About Eating-Out on Facebook? . Advances in Hospitality and Tourism Research (AHTR) , 10 (3) , 448-479 . DOI: 10.30519/ahtr.923881


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