Konaklama İşletmeleri Hakkında Yapılan Çevrimiçi Değerlendirmelerin Tüketici Tutum Kararsızlığındaki Rolü ve Satın Alma Niyeti Üzerine Etkisi

Tüketiciler günümüzde internetin kullanımına bağlı olarak, bir ürünü satın alma kararı vermeden önce en doğru seçimi yapmak, fikir sahibi olmak, riski en aza indirmek vb. nedenlerden dolayı o ürünü daha önce satın alan kişilerin deneyimlerini aktardıkları çevrimiçi değerlendirmelerden yararlanmaktadır. Çevrimiçi değerlendirmeler kullanımının yaygınlaşmasından dolayı içerik, etki, reklam gibi farklı birçok alanda araştırmaya konu olmuştur. Araştırmanın amacı ise, konaklama işletmeleri hakkında yapılan çevrimiçi değerlendirmelere yönelik algıların tüketici tutum kararsızlığındaki ve çevrimdışı kişilerarası bilgisel etkisindeki rolü ve satın alma niyeti üzerine etkisini belirlemektir. Araştırmada veri toplama tekniği olarak anket tekniği kullanılmıştır. Anket formu Türkçe ve İngilizce olarak çevrimiçi ortamda oluşturulmuş, İstanbul ilindeki seyahat acentaları aracılığıyla uygulanmış ve veriler elde edilmiştir. Elde edilen veriler istatistik paket programı yardımıyla analiz edilmiştir. Verilerin analizinde tanımlayıcı istatistikler verilerek, geçerlilik, güvenirlik, regresyon ve korelasyon analizleri yapılmıştır. Araştırmada sonuç olarak, çevrimiçi değerlendirmelerin tüketici tutum kararsızlığı üzerine etkisi olduğu; çevrimiçi değerlendirmeler ile satın alma niyeti ve çevrimdışı kişilerarası bilgisel etki arasında istatistiksel olarak anlamlı bir ilişki olduğu tespit edilmiştir.

The Role of Online Evaluations Made on Accommodation Businesses in Consumer Attitude Instability and the Effect on Purchase Intention

Today, depending on the use of the internet, consumers benefit from online evaluations in which people who previously bought a product convey their experiences, for reasons such as making the right choice, having an idea, minimizing risk, etc. before making a decision to purchase a product. Due to the widespread use of online evaluations, it has been the subject of research in many different areas such as content, impact and advertising. The aim of the study is to determine the role of perceptions online reviews about accommodation businesses in consumer attitude indecision and offline interpersonal informational influence and its effect on purchase intention. Questionnaire technique was used as data collection technique in the study. The questionnaire form was created online in Turkish and English, applied through travel agencies in Istanbul, and data were obtained from the questionnaires. The obtained data were analyzed with the help of statistical package program. In the analysis of the data, descriptive statistics were given and validity, reliability, regression and correlation analyzes were performed. As a result of the research, it was found that online reviews have an effect on consumer attitude indecision; It has been determined that there is a statistically significant relationship between online evaluations and purchase intention and offline interpersonal informational effect.

___

  • Ak, S. ve Kızılırmak, İ. (2019). Otel İşletmelerinde E-Şikâyetler ve E-Şikâyet Yönetimi Üzerine Bir Araştırma, Türk Turizm Araştırmaları Dergisi, 3(4), 820-832.
  • Akhtar, N., Siddiqi, U.I., Akhtar, M.N., Usman, M. and Ahmad, W. (2020). Modeling Attitude Ambivalence and Behavioral Outcomes from Hotel Reviews, International Journal of Contemporary Hospitality Management, 32 (9), 2831-2855.
  • Akoğlu, L., Chandy, R., and Faloutsos, C. (2013, June). Opinion Fraud Detection in Online Reviews by Network Effects. In Proceedings of the International AAAI Conference on Web and Social Media 7 (1), 2-11.
  • Alpar, R. (2018). Spor, Sağlık ve Eğitim Bilimlerinden Örneklerle Uygulamalı İstatistik ve Geçerlik- Güvenirlik, (5. Baskı). Ankara. Detay Yayıncılık.
  • Arıkan, R. (2011). Araştırma Yöntem ve Teknikleri, (2. Baskı), Ankara. Nobel Yayınevi. Ateş, A., Sunar, H. and Bilge, F. A. (2019). Analysis of Istanbul Airport with Online Passenger Comments: The Case of Google Maps, The Third International Congress on Future of Tourism: Innovation, Entrepreneurship and Sustainability, Mersin, Türkiye. Bildirler Kitabı, 753-756.
  • Atika, A., Kusumawati, A. and Iqbal, M. (2016). The Effect of Electronic Word of Mouth, Message Source Credibility, Information Quality on Brand Image and Purchase İntention. Journal Ekonomi Dan Keuangan, 20(1), 94–108.
  • Bansal, H.S. and Voyer, P.A. (2000). Word-of-Mouth Processes Within a Services Purchase Decision Context, Journal of Service Research, 3 (2), 166-177.
  • Bickart, B. and Schindler, R. M. (2001). Internet Forums as Influential Sources of Consumer İnformation. Journal of Interactive Marketing, 15 (3), 31-40.
  • Book, L., Tanford, S. and Chang, W. (2018). Customer Reviews Are Not Always Informative: The Impact of Effortful Versus Heuristic Processing. Journal of Retailing and Consumer Services, 41, 272– 280.
  • Brown, J. J. and Reingen, P. H. (1987). Social Ties and Word-of-Mouth Referral Behavior. Journal of Consumer Research, 14(3), 350–362.
  • Camilleri, A. R. (2021). Who Doesn’t Read Online Consumer Reviews, and Why?. Personality and Individual Differences, 179, 1-7.
  • Cantallops, A. S. and Salvi, F. (2014). New Consumer Behavior: A Review of Research on eWOM and Hotels. International Journal of Hospitality Management, (36), 41-51.
  • Chakraborty, U. and Bhat, S. (2018). Credibility of Online Reviews and Its Impact on Brand Image. Management Research Review. 1-37.
  • Chatterjee, P. (2001). Online Reviews: Do Consumers Use Them?. ACR 2001 Proceedings, (M. C. Gilly, J. Myers-Levy, eds.) pp. 129-134, Association for Consumer Research, Available at SSRN: https://ssrn.com/abstract=900158
  • Chen, S. C. (2011). Understanding The Effects of Technology Readiness, Satisfaction and Electronic Wordof-Mouth on Loyalty in 3C Products. Australian Journal of Business and Management Research, 1(3), 1-9.
  • Cheung, C.M., Lee, M.K. and Rabjohn, N. (2008). The Impact of Electronic Word-of-Mouth: The Adoption of Online Opinions in Online Customer Communities, Internet Research, 18(3), 229-247.
  • Cheung, M. Y., Luo, C., Sia, C. L. and Chen, H. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-Line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
  • Cheung, M. Yee. (2006). Do People Believe Electronic Word-of-Mouth?: A Study on Factors Affecting Readers' Perceived Credibility of Online Consumer Reviews. Doktora Tezi, City University of Hong Kong. Hong Kong.
  • Çavuşoğlu, M. (2010). Konaklama İşletmelerinde Elektronik Ticaret Kullanımı: Gökçeada ve Bozcaada’da Bir Araştırma. Girişimcilik ve Kalkınma Dergisi 5(2), 111-141.
  • D’Acunto, D., Tuan, A., Dalli, D., Viglia, G., and Okumus, F. (2020). Do Consumers Care About CSR in Their Online Reviews? An Empirical Analysis. International Journal of Hospitality Management, 85, 1-9.
  • Davis, A. and Khazanchi, D. (2008). An Empirical Study of Online Word of Mouth as A Predictor for Multi-Product Category E-Commerce Sales, Electronic Markets, 18 (2), 130-141.
  • Dickinger, A. (2011). The Trustworthiness of Online Channels for Experience-And Goal-Directed Search Tasks, Journal of Travel Research, 50(4), 378-391.
  • Duan, W., Gu, B. and Whinston, A.B. (2008). The Dynamics of Online Word-of-Mouth and Product Sales – An Empirical Investigation of the Movie Industry, Journal of Retailing, 84(2), 233- 242.
  • Durmaz, A. ve Yüksel, M. (2017). Ağızdan Ağıza İletişimin Satın Alma Niyetine Etkisi: E-Ticaret Siteleri Üzerine Bir Araştırma. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(1), 231–239.
  • Erbay, Ş. ve Beydoğan, H. Ö. (2017). Eğitimcilerin Eğitim Araştırmalarına Yönelik Tutumları. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 18(3), 246-260.
  • Erdem, B. (2020). Çevrimiçi Yorumların Davranışsal Niyete Etkisi: Google Haritalar Örneği, International Social Mentality and Researcher Thinkers Journal, 6(30), 357-364.
  • Evans, A. M., Stavrova, O. and Rosenbusch, H. (2021). Expressions of Doubt and Trust in Online User Reviews. Computers in Human Behavior, 114, 1-9.
  • Field, A. (2000). Discovering Statistics Using SPSS For Windows. London: Thousand Oks, New Delhi. Sage Publications.
  • Filieri, R. (2015). What Makes Online Reviews Helpful? A Diagnosticity-Adoption Framework to Explain Informational and Normative Influences in e-WOM. Journal of Business Research, 68(6), 1261-1270.
  • George, D. and Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 update (10a ed.). Boston. Pearson.
  • Goldenberg, J., Libai, B. and Muller, E. (2001), Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth, Marketing Letters, 12(3), 211-223.
  • Gretzel, U., and Yoo, K. H. (2008). Use and Impact of Online Travel Reviews. Information and Communication Technologies in Tourism, 35-46.
  • Guillet, D. and Law, R. (2011). Analyzing Hotel Star Ratings on Third-Party Distribution Websites. International Journal of Contemporary Hospitality Management, 22(6), 797–813.
  • Hair, J. F. J., Black, W. C., Babin, B. J. and Anderson, R. E. (2010). Multivariate Data Analysis. Seventh Edition Prentice Hall.
  • Hu, N., Liu, L., and Sambamurthy, V. (2011). Fraud Detection in Online Consumer Reviews. Decision Support Systems, 50(3), 614-626.
  • Jeong, E. and Jang, S. S. (2011). Restaurant Experiences Triggering Positive Electronic Wordof- Mouth (Ewom) Motivations. International Journal of Hospitality Management, 30(2), 356-366. Kalaycı, Ş. (2016). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri. Ankara. Asil Yayın Dağıtım.
  • Kapoor, P. S., Balaji, M. S., Maity, M. and Jain, N. K. (2021). Why Consumers Exaggerate in Online Reviews? Moral Disengagement and Dark Personality Traits. Journal of Retailing and Consumer Services, 60, 1-13.
  • Karaca, A., Yıldırım, N., Ankaralı, H., Açıkgöz, F. ve Akkuş, D. (2015). Hemşirelik Öğrencileri İçin Algılanan Stres, Biyo-Psiko-Sosyal Cevap ve Stresle Başetme Davranışları Ölçeklerinin Türkçe’ye Uyarlanması. Journal of Psychiatric Nursing/Psikiyatri Hemsireleri Dernegi, 6(1), 15-25.
  • Kozak, N. (2014). Turizm Pazarlaması (5.Baskı). Ankara. Detay Yayıncılık.
  • KUTO (2014). Kuşadası Ticaret Odası: E-ticaret ve Turizm Sektörü, Kuto Araştırma Yayınları, No:31
  • Lee, J., Park, D. and Han, I. (2008). The Effect of Negative Online Consumer Reviews on Product
  • Attitude: An Information Processing View, Electronic Commerce Research and Applications, (7)3, 341-352.
  • Leech, L.N., Barrett, C.K. and Morgan, A.G. (2008). SPSS For Intermediate Statistics Use and Interpretation. New York.
  • Litvin, S.W., Goldsmith, R.E. and Pan, B. (2008). Electronic Word-Of-Mouth in Hospitality and Tourism Management, Tourism Management, (29)3, 458-468.
  • Lo, A. and Yao, S. (2019). What Makes Hotel Online Reviews Credible?: An Investigation of the Roles of Reviewer Expertise, Review Rating Consistency And Review Valence. International Journal of Contemporary Hospitality Management, 31(1), 41–60.
  • Longhi, C. (2008). Usages of the Internet and E- Tourism Towards a New Economy of Tourism. University of Nice Sophia Antipolis and Gredeg, 1-21.
  • Lopez, M. and Sicilia, M. (2014). Determinants of E-WOM Influence: The Role of Consumers’ Internet Experience. Journal of Theoretical and Applied Electronic Commerce Research, 9(1), 28-43.
  • Mammadov, R. (2009). Seyahat Acentalarında E-ticaret ve İnternet Kullanımı: Azerbaycan Örneği, Yayınlanmamış Yüksek Lisans Tezi, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Turizm İşletmeciliği Anabilim Dalı, İzmir.
  • Mariani, M. M., Borghi, M., and Gretzel, U. (2019). Online Reviews: Differences by Submission Device. Tourism Management, 70, 295-298.
  • McKnight, D. H. and Chervany, N.L. (2002). What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology. International Journal of Electronic Commerce, 6, 35- 60.
  • Muda M., Mohd R. and Hassan S., (2016). Online Purchase Behavior of Generation Y in Malaysia, Procedia Economics and Finance, 37, 292-298.
  • Nazlan, N. H., Tanford, S. and Montgomery, R. (2018). The Effect of Availability Heuristics in Online Consumer Reviews. Academic Paper, 17 (5), 449-460.
  • Neuman, W.L. (2010). Toplumsal Araştırma Yöntemleri: Nitel ve Nicel Yaklaşımlar (Cilt 1-2), Çev. Özge, S., İstanbul: Yayınodası Yayınları.
  • Özdamar K. (2004). Paket Programlar ile İstatistiksel Veri Analizi. 2. Baskı. Kaan Kitabevi, 450-5. Eskişehir.
  • Park, C. W., Sutherland, I. and Lee, S. K. (2021). Effects of Online Reviews, Trust, and Picture- Superiority on İntention to Purchase Restaurant Services. Journal of Hospitality and Tourism Management, 47, 228-236.
  • Park, D. and Han, I. (2008). Integrating Conflicting Reviews: Attributional Hypotheses of Consumer Response to Information Uncertainty Depending on Prior Brand Attitude. Proceedings of the 41st Hawaii International Conference on System Sciences. 1-10.
  • Park, S. Y., and Allen, J. P. (2013). Responding to Online Reviews: Problem Solving and Engagement in Hotels. Cornell Hospitality Quarterly, 54(1), 64-73.
  • Pırnar, İ. (2005). Turizm Endüstrisinde E-Ticaret. AİBÜ-İİBF Ekonomik ve Sosyal Araştırmalar Dergisi, Güz 2005 (1), 28-55.
  • Schepers, M. (2015). The Impact of Online Consumer Reviews Factors on The Dutch Consumer Buying Decision. Unpublished bachelor’s thesis, University of Twente the Faculty of Behavioural, Management and Social sciences, Enschede. http://essay.utwente.nl/67352/1/Schepers_BA_IBA.pdf, Erişim Tarihi: 04.03.2021.
  • Siddiqi, U. I., Sun, J. and Akhtar, N. (2019). The Role of Conflicting Online Reviews in Consumers’ Attitude Ambivalence. The Service Industries Journal, 1-28.
  • Song, Y., Wang, R., Fernandez, J. and Li, D. (2021). Investigating Sense of Place of The Las Vegas Strip Using Online Reviews and Machine Learning Approaches. Landscape and Urban Planning, 205, 1-12.
  • Sunar, H., Cora, İ., Yılmaz, R. ve Gökçe, H. (2019). İslami Otellerin Çevrimiçi Müşteri Deneyimleri ve Analitik Hiyerarşi Süreci Yöntemi ile Karşılaştırılması: Tripadvisor Örneği. Innovation and Global Issues Congress V, Congress Book, 80-86.
  • Sunar, H., Ersöz, B. ve Efe, D. (2019). Çevrimiçi Yorumlar Aracılığıyla Bir Destinasyonun Turizm Alt Yapısının İncelenmesi: İskenderun Örneği, Global Issues Congress V, 2-4 Mayıs, JW Marriott Hotel, Ankara.
  • Symitsi, E., Stamolampros, P., Daskalakis, G., and Korfiatis, N. (2020). The Informational Value of Employee Online Reviews. European Journal of Operational Research (Forthcoming). 288(2), 605- 619.
  • Tabachnick, B. G. and Fidell, L. S. (2013). Using Multivariate Statistics. Pearson. Boston. Thomas Jr, G. M. (2004). Building the Buzz in the Hive Mind. Journal of Consumer Behaviour: An International Research Review, 4(1), 64-72.
  • Tutar, F., Kocabay, M. ve Kılınç, N. (2007). Turizm Sektöründe E-ticaret Uygulamaları: Nevşehir Örneği, Selçuk Üniversitesi Karaman İ.İ.B.F. Dergisi 9(12), 196- 206.
  • Ünal, A., Çakır, G., Bayar, B.S. ve Çelen, O. (2020). Turistlerin Konaklama İşletmelerine Yönelik Şikâyetlerinin İncelenmesi: Marmara Bölgesi Otellerine Yönelik Bir Araştırma. Gümüşhane Üniversitesi Sosyal Bilimler Enstitüsü Elektronik Dergisi, 11(3), 744-755.
  • Vali, H., Xu, D. and Yıldırım, M. (2015). The Effect of Conflicting Consumer Reviews on the Accuracy of a Purchase Decision. Twenty-first Americas Conference on Information Systems, Puerto Rico. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.967.5246&rep=rep1&type=pdf, Erişim Tarihi: 07.07.2021.
  • Wang, H., Batra, R. and Chen, Z. (2015). The Moderating Role of Dialecticism in Consumer Responses to Product Information. Journal of Consumer Psychology, 26(3), 381-394. Wang, J-C. and Chang, C. H. (2013). How Online Social Ties and Product- Related Risks Influence Purchase Intentions: A Facebook Experiment. Electronic Commerce Research and Application, (12), 337- 346.
  • We Are Social (2020). Digital in 2020 Report. https://wearesocial.com/digital-2020, Erişim Tarihi: 11.11.2020.
  • Wu, Y., Ngai, E. W., Wu, P. and Wu, C. (2020). Fake Online Reviews: Literature Review, Synthesis, and Directions for Future Research. Decision Support Systems, 132, 1-15.
  • Yang, S., Shin, S., Joun, Y. and Koo, C. (2017). Exploring The Comparative Importance of Online Hotel Reviews’ Heuristic Attributes in Review Helpfulness: A Conjoint Analysis Approach. Journal of Travel and Tourism Marketing, 34(7), 963-985.
  • Ye, Q., Law, R., and Gu, B. (2009). The Impact of Online User Reviews on Hotel Room Sales. International Journal of Hospitality Management, 28(1), 180-182.
  • Zaltman, G. ve L. Zaltman. (2008). Pazarlama Metaforları. Optimist Yayım Dağıtım. İstanbul. Zangeneh, S. K., Mohammadkazemi, R. and Rezvani, M. (2014). Investigating The Effect of Electronic Word of Mouth on Customer’s Purchase Intention of Digital Products. Management Science Letters, 4(11), 2433-2440.
  • Zhang, M., Fan, B., Zhang, N., Wang, W., and Fan, W. (2021). Mining Product Innovation Ideas from Online Reviews. Information Processing & Management, 58(1), 1-12.
  • Zhao, X.(R)., Wang, L., Guo, X. and Law, R. (2015). The Influence of Online Reviews to Online Hotel Booking Intentions. International Journal of Contemporary Hospitality Management, Journal of Faculty of Tourism and Hotels, 27(6), 1343-1364.
  • Zhu, F. and Zhang, X. (2010). Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics, Journal of Marketing, 74(2), 133-148.