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Examining Online Reviews for Restaurants: The Example of Google Maps

Yıl 2023, Cilt: 7 Sayı: 2 - Uluslararası Güncel Turizm Araştırmaları Dergisi, 66 - 79, 29.12.2023
https://doi.org/10.30625/ijctr.1382067

Öz

Online reviews have a significant impact on various aspects of consumers’ lives, and one area where online reviews hold considerable influence is in consumers’ restaurant choices. Platforms that allow online reviews and star ratings about restaurants have become the most important source of information for modern restaurant selection. The information obtained from online sources holds great importance in shaping consumers’ preferences. In the conducted study, an analysis of online reviews was performed using content analysis on Google Maps for 1st-class restaurants categorized as “Restaurants” within Tourism Enterprise Certified Facilities located in the Aegean region. A total of 2,633 comments, comprising both textual feedback and star ratings were analyzed for 22 accessed restaurants. The online reviews were evaluated in five categories: “food”, “service”, “atmosphere”, “price” and “location and amenities”. It was observed that the category with the highest number of evaluations in the online reviews was atmosphere. Following atmosphere, the categories with the highest number of evaluations were food, service, price, and location & amenities. Furthermore, the analyzed comments have been examined in two main categories: positive and negative. It has been determined that the restaurants included in the study received a higher number of positive online reviews compared to negative ones. Based on this, it is predicted that converting online reviews entirely into positive ones, which are known to have a significant influence on consumer preferences, would be effective in increasing the level of restaurant popularity. The current research is considered significant in providing guidance to restaurant managers.

Etik Beyan

Yukarıda bilgileri yer almakta olan çalışmamızın katılımcılardan birebir veri toplamayı gerektiren araştırmalar kapsamına girmemesi ve araştırma verilerinin ikincil veri olarak elde edilmesi sebebiyle etik kurul izni gerektirmeyen çalışmalar arasında yer aldığını beyan ederiz.

Kaynakça

  • Ahmad, M., Jawad, K., Alvi, M. B., ve Alvi, M. (2023). Google Maps data analysis of clothing brands in South Punjab, Pakistan. EAI Endorsed Transactions on Scalable Information Systems, 10(3), 1-10. http://dx.doi.org/10.4108/eetsis.v10i3.2677
  • Ali, F., Amin, M., ve Cobanoglu, C. (2016). An integrated model of service experience, emotions, satisfaction, and price acceptance: an empirical analysis in the Chinese hospitality industry. Journal of Hospitality Marketing & Management, 25(4), 449-475. http://dx.doi.org/10.1080/19368623.2015.1019172
  • Alnsour, M., ve Al Faour, H. R. (2020). The influence of customers social media brand community engagement on restaurants visit intentions. Journal of International Food & Agribusiness Marketing, 32(1), 79-95. http://dx.doi.org/10.4018/IJCRMM.2019100101
  • AlQadi, R., Al-Nojaidi, H., Alabdulkareem, L., Alrazgan, M., Alghamdi, N., ve Kamruzzaman, M. M. (2020). How Social Media Influencers Affect Consumers’ Restaurant Selection: Statistical and Sentiment Analysis. In 2020 October 2nd International Conference on Computer and Information Sciences (ICCIS) (pp. 1-6). IEEE.
  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., ve Yıldırım, E. (2012). Sosyal bilimlerde araştırma yöntemleri SPSS uygulamalı. 7. Geliştirilmiş Baskı. Sakarya Kitabevi.
  • Andaleeb, S. S., ve Conway, C. (2006). Customer satisfaction in the restaurant industry: an examination of the transaction‐specific model. Journal of Services Marketing, 20(1), 3-11. http://dx.doi.org/10.1108/08876040610646536
  • Anderson, M., ve Magruder, J. (2012). Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econ. J. 122(563), 957–989. http://dx.doi.org/10.1111/j.1468-0297.2012.02512.x
  • Bailey, A. A. (2005). Consumer awareness and use of product review websites. Journal of Interactive Advertising, 6(1), 68-81. http://dx.doi.org/10.1080/15252019.2005.10722109
  • Bakhshi, S., Kanuparthy, P., ve Gilbert, E. (2014, April). Demographics, weather and online reviews: A study of restaurant recommendations. In Proceedings of the 23rd International conference on World Wide Web, (pp. 443-454).
  • Băltescu, C. A. (2020). The relevance of online reviews for the development of restaurant industry. Annals of the “Constantin Brâncuși” University of Târgu Jiu, (1), 42-47.
  • Banerjee, S., ve Chua, A. Y. (2016). In search of patterns among travellers’ hotel ratings in TripAdvisor. Tourism Management, 53, 125-131. http://dx.doi.org/10.1016/j.tourman.2015.09.0209
  • Bilgihan, A., Peng, C., ve Kandampully, J. (2014). Generation Y’s dining information seeking and sharing behavior on social networking sites: An exploratory study. International Journal of Contemporary Hospitality Management, 26(3), 349-366. http://dx.doi.org/10.1108/IJCHM-11-2012-0220
  • Bilgihan, A., Seo, S., ve Choi, J. (2017). Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management, 27(5), 601-625. http://dx.doi.org/10.1080/19368623.2018.1396275
  • Blank, G. (2007). Critics ratings and society. Rowman and Littlefield.
  • Borrego, Á., ve Comalat Navarra, M. (2021). What users say about public libraries: An analysis of Google Maps reviews. Online Information Review, 45(1), 84-98. http://dx.doi.org/10.1108/OIR-09-2019-0291
  • Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., ve Demirel, F. (2018). Eğitimde bilimsel araştırma yöntemleri. 25. Baskı. Pegem Akademi.
  • Chevalier, J. A., ve Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354. http://dx.doi.org/10.1509/jmkr.43.3.345
  • Çoban, S., Çoban, E., ve Yetgin, D. (2019). Şehir turizminde faaliyet gösteren otellere yönelik e-yorumların incelenmesi: Eskişehir İli Örneği. Türk Turizm Araştırmaları Dergisi, 3(3), 542-558.
  • Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424. http://dx.doi.org/10.1287/mnsc.49.10.1407.17308
  • Erdoğan-Aracı, Ü. (2016). Müşterilerin sosyo-demografik özellikleri ile tekrar satın alma ve daha fazla ödeme niyetleri arasındaki ilişkinin incelenmesi: restoran müşterileri örneği. Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 2(4), 54-66.
  • Gan, Q., Ferns, B. H., Yu, Y., ve Jin, L. (2016). A text mining and multidimensional sentiment analysis of online restaurant reviews. Journal of Quality Assurance in Hospitality & Tourism, 18(4), 465-492. http://dx.doi.org/10.1080/1528008X.2016.1250243
  • Ganzaroli, A., De Noni, I., ve van Baalen, P. (2017). Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice. Tourism Management, 61, 501-510. http://dx.doi.org/10.1016/j.tourman.2017.03.019
  • Guo, Y., Barnes, S. J., ve Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59, 467-483. http://dx.doi.org/10.1016/j.tourman.2016.09.009
  • Gupta, S., McLaughlin, E., ve Gomez, M. (2007). Guest satisfaction and restaurant performance. Cornell Hotel and Restaurant Administration Quarterly, 48(3), 284-298. http://dx.doi.org/10.1177/0010880407301735
  • Hawley, K. (2019, April 16). Google Maps could be the do-it-all restaurant app of the future. https://table.skift.com/2019/04/16/google-maps-could-be-the-do-it-all-restaurant-app-of-the-future/
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Restoranlara Yönelik Çevrimiçi Yorumların Analizi: Google Haritalar Örneği

Yıl 2023, Cilt: 7 Sayı: 2 - Uluslararası Güncel Turizm Araştırmaları Dergisi, 66 - 79, 29.12.2023
https://doi.org/10.30625/ijctr.1382067

Öz

Çevrimiçi yorumlar, tüketicilerin yaşamlarında birçok alanda etkili olmaktadır. Çevrimiçi yorumların önemli oranda etkili olduğu alanlardan biri de tüketicilerin restoran seçimleridir. Restoranlar hakkında çevrimiçi yorum ve yıldız derecelendirmesi yapmaya imkân tanıyan platformlar, çağımızın restoran seçimlerinde başvurulan en önemli bilgi kaynağı haline gelmiştir. Çevrimiçi kaynaklardan elde edilen bu bilgiler, tüketicilerin tercihlerini şekillendirmek açısından ciddi öneme sahiptir. Yapılan çalışmada; Ege bölgesinde yer alan Turizm İşletmesi Belgeli Tesisler içerisinde “lokanta” kategorisinde bulunan 1. sınıf restoranlara ait Google Haritalar üzerinden yapılmış çevrimiçi yorumlar içerik analizi ile incelenmiştir. Erişilen 22 restoran için hem metin geri bildirimlerine hem de yıldız derecelendirmesine sahip 2633 adet yorumun analizi yapılmıştır. Çevrimiçi yorumlar; “yemek”, “hizmet”, “atmosfer”, “fiyat”, “konum ve imkânlar” olmak üzere beş kategoride değerlendirilmiştir. Çevrimiçi yorumlarda en fazla değerlendirmenin ''atmosfer'' kategorisi için yapıldığı görülmüştür. Atmosferi takiben en fazla değerlendirmeye sahip kategoriler yemek, hizmet, fiyat ve konum&imkânlar kategorisi olmuştur. Ayrıca incelenen yorumlar, olumlu ve olumsuz olmak üzere iki temel kategoride de ayrıca analiz edilmiştir. Araştırma kapsamında yer alan restoranlar için olumlu çevrimiçi yorumların fazla, olumsuz çevrimiçi yorumların da olumlulara göre daha az olduğu tespit edilmiştir. Buradan yola çıkarak; tüketici tercihlerinde oldukça etkili olduğu bilinen çevrimiçi yorumların restoranlar tarafından tamamen olumlu yorumlara çevrilmesinin restoranların tercih edilme düzeylerini arttırma konusunda etkili olacağı öngörülmektedir. Mevcut araştırmanın restoran yöneticilerine yol gösterme açısından önemli olduğu düşünülmektedir.

Kaynakça

  • Ahmad, M., Jawad, K., Alvi, M. B., ve Alvi, M. (2023). Google Maps data analysis of clothing brands in South Punjab, Pakistan. EAI Endorsed Transactions on Scalable Information Systems, 10(3), 1-10. http://dx.doi.org/10.4108/eetsis.v10i3.2677
  • Ali, F., Amin, M., ve Cobanoglu, C. (2016). An integrated model of service experience, emotions, satisfaction, and price acceptance: an empirical analysis in the Chinese hospitality industry. Journal of Hospitality Marketing & Management, 25(4), 449-475. http://dx.doi.org/10.1080/19368623.2015.1019172
  • Alnsour, M., ve Al Faour, H. R. (2020). The influence of customers social media brand community engagement on restaurants visit intentions. Journal of International Food & Agribusiness Marketing, 32(1), 79-95. http://dx.doi.org/10.4018/IJCRMM.2019100101
  • AlQadi, R., Al-Nojaidi, H., Alabdulkareem, L., Alrazgan, M., Alghamdi, N., ve Kamruzzaman, M. M. (2020). How Social Media Influencers Affect Consumers’ Restaurant Selection: Statistical and Sentiment Analysis. In 2020 October 2nd International Conference on Computer and Information Sciences (ICCIS) (pp. 1-6). IEEE.
  • Altunışık, R., Coşkun, R., Bayraktaroğlu, S., ve Yıldırım, E. (2012). Sosyal bilimlerde araştırma yöntemleri SPSS uygulamalı. 7. Geliştirilmiş Baskı. Sakarya Kitabevi.
  • Andaleeb, S. S., ve Conway, C. (2006). Customer satisfaction in the restaurant industry: an examination of the transaction‐specific model. Journal of Services Marketing, 20(1), 3-11. http://dx.doi.org/10.1108/08876040610646536
  • Anderson, M., ve Magruder, J. (2012). Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econ. J. 122(563), 957–989. http://dx.doi.org/10.1111/j.1468-0297.2012.02512.x
  • Bailey, A. A. (2005). Consumer awareness and use of product review websites. Journal of Interactive Advertising, 6(1), 68-81. http://dx.doi.org/10.1080/15252019.2005.10722109
  • Bakhshi, S., Kanuparthy, P., ve Gilbert, E. (2014, April). Demographics, weather and online reviews: A study of restaurant recommendations. In Proceedings of the 23rd International conference on World Wide Web, (pp. 443-454).
  • Băltescu, C. A. (2020). The relevance of online reviews for the development of restaurant industry. Annals of the “Constantin Brâncuși” University of Târgu Jiu, (1), 42-47.
  • Banerjee, S., ve Chua, A. Y. (2016). In search of patterns among travellers’ hotel ratings in TripAdvisor. Tourism Management, 53, 125-131. http://dx.doi.org/10.1016/j.tourman.2015.09.0209
  • Bilgihan, A., Peng, C., ve Kandampully, J. (2014). Generation Y’s dining information seeking and sharing behavior on social networking sites: An exploratory study. International Journal of Contemporary Hospitality Management, 26(3), 349-366. http://dx.doi.org/10.1108/IJCHM-11-2012-0220
  • Bilgihan, A., Seo, S., ve Choi, J. (2017). Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management, 27(5), 601-625. http://dx.doi.org/10.1080/19368623.2018.1396275
  • Blank, G. (2007). Critics ratings and society. Rowman and Littlefield.
  • Borrego, Á., ve Comalat Navarra, M. (2021). What users say about public libraries: An analysis of Google Maps reviews. Online Information Review, 45(1), 84-98. http://dx.doi.org/10.1108/OIR-09-2019-0291
  • Büyüköztürk, Ş., Kılıç-Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., ve Demirel, F. (2018). Eğitimde bilimsel araştırma yöntemleri. 25. Baskı. Pegem Akademi.
  • Chevalier, J. A., ve Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354. http://dx.doi.org/10.1509/jmkr.43.3.345
  • Çoban, S., Çoban, E., ve Yetgin, D. (2019). Şehir turizminde faaliyet gösteren otellere yönelik e-yorumların incelenmesi: Eskişehir İli Örneği. Türk Turizm Araştırmaları Dergisi, 3(3), 542-558.
  • Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407-1424. http://dx.doi.org/10.1287/mnsc.49.10.1407.17308
  • Erdoğan-Aracı, Ü. (2016). Müşterilerin sosyo-demografik özellikleri ile tekrar satın alma ve daha fazla ödeme niyetleri arasındaki ilişkinin incelenmesi: restoran müşterileri örneği. Balkan ve Yakın Doğu Sosyal Bilimler Dergisi, 2(4), 54-66.
  • Gan, Q., Ferns, B. H., Yu, Y., ve Jin, L. (2016). A text mining and multidimensional sentiment analysis of online restaurant reviews. Journal of Quality Assurance in Hospitality & Tourism, 18(4), 465-492. http://dx.doi.org/10.1080/1528008X.2016.1250243
  • Ganzaroli, A., De Noni, I., ve van Baalen, P. (2017). Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice. Tourism Management, 61, 501-510. http://dx.doi.org/10.1016/j.tourman.2017.03.019
  • Guo, Y., Barnes, S. J., ve Jia, Q. (2017). Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation. Tourism Management, 59, 467-483. http://dx.doi.org/10.1016/j.tourman.2016.09.009
  • Gupta, S., McLaughlin, E., ve Gomez, M. (2007). Guest satisfaction and restaurant performance. Cornell Hotel and Restaurant Administration Quarterly, 48(3), 284-298. http://dx.doi.org/10.1177/0010880407301735
  • Hawley, K. (2019, April 16). Google Maps could be the do-it-all restaurant app of the future. https://table.skift.com/2019/04/16/google-maps-could-be-the-do-it-all-restaurant-app-of-the-future/
  • Hicks, A., Comp, S., Horovitz, J., Hovarter, M., Miki, M., ve Bevan, J. L. (2012). Why people use Yelp. com: An exploration of uses and gratifications. Computers in Human Behavior, 28(6), 2274-2279. http://dx.doi.org/10.1016/j.chb.2012.06.034
  • Hu, N., Liu, L., ve Zhang, J. J. (2008). Do online reviews affect product sales? The role of reviewer characteristics and temporal effects. Information Technology and Management, 9, 201-214. http://dx.doi.org/10.1177/1938965510363264
  • Hyun, S. S. (2010). Predictors of relationship quality and loyalty in the chain restaurant industry. Cornell Hospitality Quarterly, 51(2), 251-267. http://dx.doi.org/10.1177/193896551036326
  • Josiam, B. M., ve Henry, W. (2014). Eatertainment: Utilitarian and hedonic motivations for patronizing fun experience restaurants. Procedia-Social and Behavioral Sciences, 144, 187-202. http://dx.doi.org/10.1016/10.1016/j.sbspro.2014.07.287
  • Koronavirüs. (2023, 26 May). https://tr.wikipedia.org/wiki/Koronavir%C3%BCs
  • Krestel, R., ve Dokoohaki, N. (2011). Diversifying product review rankings: Getting the full picture. Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011, 1, 138–145. https://doi.org/10.1109/WI-IAT.2011.33
  • Lee, K., ve Yu, C. (2018). Assessment of airport service quality: A complementary approach to measure perceived service quality based on Google reviews. Journal of Air Transport Management, 71, 28-44. http://dx.doi.org/10.1016/j.jairtraman.2018.05.004
  • Li, H., Wang, C. R., Meng, F., ve Zhang, Z. (2018). Making restaurant reviews useful and/or enjoyable? The impacts of temporal, explanatory, and sensory cues. International Journal of Hospitality Management, 83, 257-265. http://dx.doi.org/10.1016/j.ijhm.2018.11.002
  • MacLaurin, D. J., ve MacLaurin, T. L. (2000). Customer perceptions of Singapore's theme restaurants. Cornell Hotel and Restaurant Administration Quarterly, 41(3), 75-85. http://dx.doi.org/10.1177/00108804000410031
  • Mathayomchan, B., ve Taecharungroj, V. (2020). “How was your meal?” Examining customer experience using Google Maps reviews. International Journal of Hospitality Management, 90, 1-13. http://dx.doi.org/10.1016/j.ijhm.2020.102641
  • Mattila, A. S. (2001). Emotional bonding and restaurant loyalty. Cornell Hotel and Restaurant Administration Quarterly, 42(6), 73-79. http://dx.doi.org/10.1177/0010880401426009
  • Murphy, R. (2018, January 17). Comparison of local review sites: Which platform is growing the fastest? https://www.brightlocal.com/research/comparison-of-local-review-sites/. http://dx.doi.org/10.1016/j.ijhm.2010.02.002
  • Namkung, Y., ve Jang, S. (2008). Are highly satisfied restaurant customers really different? A quality perception perspective. International Journal of Contemporary Hospitality Management, 20(2), 142-155. http://dx.doi.org/10.1108/09596110810852131
  • Okat, Ç., ve Uçkan-Çakır, M. (2021). Müşteri şikâyetleri yönetimi. İçinde Can, Ü. ve Okat, Ç., (Ed.), Yiyecek içecek hizmetlerinde müşteri yönetimi (ss. 81-103). Detay Yayıncılık.
  • Özoğul-Balyalı, T. (2021). Müşteri deneyimi yönetimi. İçinde Can, Ü. ve Okat, Ç., (Ed.), Yiyecek içecek hizmetlerinde müşteri yönetimi (ss. 49-63). Detay Yayıncılık.
  • Pantelidis, I. S. (2010). Electronic meal experience: A content analysis of online restaurant comments. Cornell Hospitality Quarterly, 51(4), 483-491. http://dx.doi.org/10.1177/1938965510378574
  • Park, D. H., Lee, J., ve Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148. http://dx.doi.org/10.2753/JEC1086-4415110405
  • Racherla, P., Connolly, D. J., ve Christodoulidou, N. (2013). What determines consumers' ratings of service providers? An exploratory study of online traveler reviews. Journal of Hospitality Marketing & Management, 22(2), 135-161. http://dx.doi.org/10.1080/19368623.2011.645187
  • Ryu, K., ve Han, H. (2010). Influence of the quality of food, service, and physical environment on customer satisfaction and behavioral intention in quick-casual restaurants: Moderating role of perceived price. Journal of Hospitality & Tourism Research, 34(3), 310-329. http://dx.doi.org/10.1177/1096348009350624
  • Ryu, K., ve Han, H. (2011). New or repeat customers: How does physical environment influence their restaurant experience?. International Journal of Hospitality Management, 30(3), 599-611. http://dx.doi.org/10.1016/j.ijhm.2010.11.004
  • Shin, B., Ryu, S., Kim, Y., ve Kim, D. (2022). Analysis on review data of restaurants in google maps through text mining: Focusing on sentiment analysis. Journal of Multimedia Information System, 9(1), 61-68. http://dx.doi.org/10.33851/JMIS.2022.9.1.61
  • So, J. S., ve Shin, P. S. (2020). Rating prediction by evaluation item through sentiment analysis of restaurant review. Journal of the Korea Society of Computer and Information, 25(6), 81-89. http://dx.doi.org/10.9708/jksci.2020.25.06.081
  • Sparks, B. A., ve Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310-1323. http://dx.doi.org/10.1016/j.tourman.2010.12.011
  • Sulek, J. M., ve Hensley, R. L. (2004). The relative importance of food, atmosphere, and fairness of wait: The case of a full-service restaurant. Cornell Hotel and Restaurant Administration Quarterly, 45(3), 235-247. http://dx.doi.org/10.1177/00108804042653
  • Taecharungroj, V. (2019). User-generated place brand identity: Harnessing the power of content on social media platforms. Journal of Place Management and Development, 12(1), 39-70. http://dx.doi.org/10.1108/JPMD-11-2017-0117
  • Turizm İşletmesi Belgeli Tesisler. (2023, 26 May). https://yigm.ktb.gov.tr/genel/turizmtesisleri.aspx. Wall, E. A., ve Berry, L. L. (2007). The combined effects of the physical environment and employee behavior on customer perception of restaurant service quality. Cornell Hotel and Restaurant Administration Quarterly, 48(1), 59-69. http://dx.doi.org/10.1177/001088040629724
  • Wu, L., Shen, H., Li, M., ve Deng, Q. (2017). Sharing information now vs later: The effect of temporal contiguity cue and power on consumer response toward online reviews. International Journal of Contemporary Hospitality Management, 29(2), 648-668. http://dx.doi.org/10.1108/IJCHM-10-2015-0587
  • Yan, X., Wang, J., ve Chau, M. (2015). Customer revisit intention to restaurants: Evidence from online reviews. Information Systems Frontiers, 17, 645-657. http://dx.doi.org/10.1007/s10796-013-9446-5
  • Yang, S. Y., ve Hsu, C. L. (2015). A location-based services and Google maps-based information master system for tour guiding. Computers & Electrical Engineering, 54, 87-105. http://dx.doi.org/10.1016/j.compeleceng.2015.11.020
  • Ye, Q., Law, R., ve Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180-182. http://dx.doi.org/10.1016/j.ijhm.2008.06.011
  • Ye, Q., Li, H., Wang, Z., ve Law, R. (2014). The influence of hotel price on perceived service quality and value in e-tourism: An empirical investigation based on online traveler reviews. Journal of Hospitality & Tourism Research, 38(1), 23-39. http://dx.doi.org/10.1177/1096348012442540
  • Yıldırım, A., & Şimşek, H. (2016). Sosyal bilimlerde nitel araştırma yöntemleri. 10. Baskıdan Tıpkı 11. Baskı. Seçkin Akademik ve Mesleki Yayınlar.
  • Zhang, Z., Ye, Q., Law, R., ve Li, Y. (2010). The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews. International Journal of Hospitality Management, 29(4), 694-700. http://dx.doi.org/10.1016/j.ijhm.2010.02.002
  • Zhang, Z., Zhang, Z., ve Law, R. (2014). Positive and negative word of mouth about restaurants: Exploring the asymmetric impact of the performance of attributes. Asia Pacific Journal of Tourism Research, 19(2), 162-180. http://dx.doi.org/10.1080/10941665.2012.735680
  • Zukin, S., Lindeman, S., ve Hurson, L. (2017). The omnivore’s neighborhood? Online restaurant reviews, race, and gentrification. Journal of Consumer Culture, 17(3), 459-479. http://dx.doi.org/10.1177/1469540515611203
Toplam 60 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Turizm Politikası, Gastronomi, Turist Davranışı ve Ziyaretçi Deneyimi
Bölüm Özgün Bilimsel Makale
Yazarlar

Pelin Koç 0000-0002-1125-8045

Nur Neşe Şahin 0000-0003-0360-9631

Erken Görünüm Tarihi 28 Aralık 2023
Yayımlanma Tarihi 29 Aralık 2023
Gönderilme Tarihi 27 Ekim 2023
Kabul Tarihi 16 Kasım 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 7 Sayı: 2 - Uluslararası Güncel Turizm Araştırmaları Dergisi

Kaynak Göster

APA Koç, P., & Şahin, N. N. (2023). Restoranlara Yönelik Çevrimiçi Yorumların Analizi: Google Haritalar Örneği. Uluslararası Güncel Turizm Araştırmaları Dergisi, 7(2), 66-79. https://doi.org/10.30625/ijctr.1382067