Research Article
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Examining Online Reviews for Restaurants: The Example of Google Maps

Year 2023, Volume: 7 Issue: 2 - International Journal of Contemporary Tourism Research, 66 - 79, 29.12.2023
https://doi.org/10.30625/ijctr.1382067

Abstract

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.

Ethical Statement

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.

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Restoranlara Yönelik Çevrimiçi Yorumların Analizi: Google Haritalar Örneği

Year 2023, Volume: 7 Issue: 2 - International Journal of Contemporary Tourism Research, 66 - 79, 29.12.2023
https://doi.org/10.30625/ijctr.1382067

Abstract

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.

References

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  • 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
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  • 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
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There are 60 citations in total.

Details

Primary Language Turkish
Subjects Tourism Policy, Gastronomy, Tourist Behaviour and Visitor Experience
Journal Section Original Scientific Article
Authors

Pelin Koç 0000-0002-1125-8045

Nur Neşe Şahin 0000-0003-0360-9631

Early Pub Date December 28, 2023
Publication Date December 29, 2023
Submission Date October 27, 2023
Acceptance Date November 16, 2023
Published in Issue Year 2023 Volume: 7 Issue: 2 - International Journal of Contemporary Tourism Research

Cite

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