Türkiye ve İspanya’daki 5 Yıldızlı Otel İşletmelerinin Web Sitelerinin İncelenmesi: Investigation of the Websites of 5-Star Hotels in Türkiye and Spain

Süleyman ŞAHİN

Authors

Süleyman ŞAHİN Bolu Abant İzzet Baysal University

Keywords:

Content analysis, Correlation, Web sites, 5-star hotels

Abstract

In addition to the benefits it provides to businesses, the Internet also provides important contributions to end consumers and hotel customers. Today's businesses benefit from websites to reduce costs in activities such as obtaining customer opinions, informing customers, product promotion and product sales. In order to provide long-term sustainable competitive advantage, hotel businesses also use websites in their marketing activities. The aim of this study; The aim is to examine the websites of 5-star hotels in Turkey and Spain, to determine which features they include on their websites and whether there is a relationship between the features on the websites of hotel businesses between the two countries. The other aim of the study is to determine whether there is a relationship between the different business types (horizontal or non-horizontal integration) owned by the hotels and the features found on the websites. For this purpose, content analysis technique was used in the research. The data of the research were obtained by examining the contents of the web pages of 272 5-star hotel businesses in Turkey and Spain and analyzed with the correlation coefficients. As a result of the research, mostly positive (direct) correlation (81%) was found between the features found on the websites of different business types (horizontal or non-horizontal integration). It has been determined that there is mostly a positive (direct) relationship (60%) between the features found on the websites of the 5-star hotel businesses in the two countries.

References

Adam, S., Mulye, R., Deans, R. K. ve Palihawadana, D. (2002). E-marketing in Perspective: a Three Country Comparison of Business Use of the Internet. Marketing Intelligence&Planning, 20 (4), ss.243-251.

Akgül A., Çevik O., (2003). İstatistiksel Analiz Teknikleri. Ankara: Emek Ofset.

Aksu, A. A. ve Tarcan, E. (2002). The Internet and Five-star Hotels: a Case Study From the Antalya Region in Turkey. International Journal of Contemporary Hospitality Management, 14(2), ss.94-97.

Aktürk, A. O., A. Delen (2020), Öğretmenlerin Teknoloji Kabul Düzeyleri ile Öz-yeterlik İnançları Arasındaki İlişki. Bilim, Eğitim, Sanat ve Teknoloji Dergisi, 4(2), Sayfa 67-80 ISSN: 2630-581X 67

Altunışık, R., Coşkun, R., Bayraktarroğlu, S. ve Yıldırım, E. (2005). “Sosyal Bilimlerde Araştırma Yöntemleri”, Sakarya: Sakarya Kitabevi.

Baloğlu, Ş. ve Pekcan Y.A. (2006). The Website Design and Internet Site Marketing Practices of Upscale and Luxury Hotels in Turkey. Tourism Management, 27, ss.171-176.

Bayram, M. ve Yaylı, A. (2009). Otel Web Sitelerinin İçerik Analizi Yöntemiyle Değerlendirilmesi. Elektronik Sosyal Bilimler Dergisi, 8(27), ss.347-379.

Bilgin N. (2006). Sosyal Bilimlerde İçerik Analizi. Siyasal Kitapevi, Ankara.

Blaikie N.W. H., (2003). Analyzing quantitative data. Sage Publications Inc.

Bryman A., Cramer D., (2005). Quantitative data analysis with SPSS 12 and 13., Routledge.

Burke, A., (2007). Eğiticiler İçin Kişisel Gelişim Semineri

Centobelli, P. ve Ndou, V. (2019). Managing customer knowledge through the use of big data analytics in tourism research. Current Issues in Tourism, 22(15), 1862- 1882.

Daniel, W. W., (1990). Applied Nonparametric Statistics. Boston: PWS-KENT Puplishing Company

Dytham D., (2003). Choosing and using statistics: a biologist's guide. Wiley-Blackwell, 2. Baskı.

Ercan, F. (2020), Akıllı turizmde büyük veri kullanımı: Sistematik bir derleme. OPUS–Uluslararası Toplum Araştırmaları Dergisi, 16(32), 5230- 5249. DOI: 10.26466/opus.780017

Iorio, C., Pandolfo, G., D’Ambrosio, A. ve Siciliano, R. (2019). Mining big data in tourism. Quality & Quantity, 54, 1655-1669. https://doi.org/10.1007/s11135-019- 00927-0.

Karagöz Y., Çatı K., Koçoğlu C. M., (2009). Ceptelefonu Ve Operatör Tercihinde Etkili Olabilecek Faktörlerin Demografik Özelliklere Bağlı Olarak İrdelenmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, Cilt 5, Sayı 23.

Karasar, N. (2005). Bilimsel Araştırma Yöntemi. Ankara: Nobel Yayın Dağıtım.

Laurich, R. (2002). The Platinum Web: Sites Dedicated to Senior Citizens on the Internet. Collection Building, 21(4), ss.174-182.

Li, H., Hu, M. ve Li, G. (2020). Forecasting tourism demand with multisource big data. Annals of Tourism Research, 83, 102912.

Liu, X., Zou, J., Liu, L. ve Cheng, P. (2019). Research on scenic spots recommendation algorithm based on tourism big data. 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 25-27 October, Hohhot, Chia, 926-929.

Muth J. E. D., (2006). Basic statistics and pharmaceutical statistical applications. CRC Press Publications.

Nakip, M. (2003). Pazarlama Araştırmaları Teknikler ve (SPSS Destekli) Uygulamalar. Ankara: Seçkin Yayıncılık.

Oktay, E. (2003). İlişki ölçüleri. İstanbul, Aktif Yayınevi

Özdamar, K. (2002). Paket Programlar ile İstatistiksel Veri Analizi 1. Eskişehir: Kaan Kitabevi

Özdamar, K. (2003). SPSS ile Biyoistatistik. Eskişehir: Kaan Kitabevi

Öztuna D., Elhan A. H., Kurşun N., (2007). Sağlık Araştırmalarında Kullanılan İlişki Katsayıları. Turkiye Klinikleri J Med Sci 2008, 28

Pett M. A., (1997). Nonparametric statistics for health care research. Sage Publications Inc., 2. Baskı.

Sarı, Y. ve Kozak, M. (2005). Turizm Pazarlamasına Internetin Etkisi: Destinasyon Web Siteleri İçin Bir Model Önerisi. Akdeniz I.I.B.F. Dergisi, (9), ss. 248-257.

Shafiee, S., Ghatari, A. R., Hasanzadeh, A. ve Jahanyan, S. (2019). Developing a model for sustainable smart tourism destinations: A systematic review. Tourism Management Perspectives, 31, 287-300

Shang, C. ve You, F. (2019). Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era. Engineering, 5, 1010-1016

Sheskin D., (2004). Handbook of parametric and nonparametric statistical procedures. CRC Press, 3. Baskı.

Siddiqui, N., O’Malley, A., McColl C. J. ve Birtwistle G. (2003). Retailer and Consumer Perceptions of Online Fashion Retailers Web Site Design Issues. Journal of Fashion Marketing and Management, 7 (4), ss.345-355.

Şahin, B. Ç. (2008). Pazarlama İletisim Medyası Olarak Webortamında İçerik Analizi Yapmanın Güçlükleri ve Olası Çözüm Önerileri. Yönetim Dergisi, Yıl: 19, Sayı: 61, Ekim

Şencan H. (2005). Güvenilirlik ve Geçerlilik. Seçkin Yayıncılık, Ankara

Vrana, V. ve Zafiropoulos, C. (2006). Tourism Agents Attitudes On Internet Adoption: An Analysis From Greece, Attitudes On Internet Adoption, International Journal of Contemporary Hospitality Management, 18(7), ss.601-608.

Yallop, A. ve Seraphin, H. (2020). Big data and analytics in tourism and hospitality: Opportunities and risks. Journal of Tourism Futures, Ahead of Print, DOI: https://doi.org/10.1108/JTF-10-2019-0108.

Waite K. ve Harrison T. (2007). Internet Archaeology: Uncovering Pension Sector Web Site Evolution, Internet, Research, 17 (2), ss.180-195.

Welling R. ve White, L. (2006). Web Site Performsnce Measurement: Promise and Reality, Managing Service Quality, 16(6), ss.654-670.

Wholey J. S., Hatry H. P., Newcomer K. E., (2004). Handbook of practical program evaluation. John Wiley and Sons Publications.

www.internetworldstats.com., Erişim Tarihi:02.12.2008

https://tr.euronews.com/2021/10/11/avrupa-birligi-nde-duzenli-internet-kullan-m-oran-pandemide-yuzde-15-artt-turkiye-de-durum/ Erişim Tarihi: 04/07/2022

https://recrodigital.com/dijital-2021-raporunda-turkiye-ve-dunyada-internet-ve-sosyal-medya-kullanimi-karsilastirmasi-ocak-2021/ Erişim Tarihi: 04/07/2022).

https://dijilopedi.com/2021-dunya-internet-sosyal-medya-ve-mobil-kullanim-istatistikleri-/ Erişim Tarihi: 04/07/2022