Akıllı Turizmde Büyük Veri Kullanımı: Sistematik Bir Derleme

Year 2020, Volume: 16 Issue: 32, 5230 - 5249, 31.12.2020

Fatih Ercan

https://doi.org/10.26466/opus.780017

Cited By: 3

Abstract

Teknolojide meydana gelen gelişmeler ve kişiler arasında kullanımının yaygınlaşması sonucunda çevrimiçi ortamın günümüzde daha fazla kullanıldığı görülmektedir. Dijital ortamda, bu mecrayı kullanan kişiler hakkında çeşitli bilgiler yer almakta ve işletmeler için bunlar günümüzde önemli bir veri kaynağı oluşturmaktadır. Çok büyük miktarlara ulaşan bu büyük veriler analiz edilmekte ve sunulan hizmetlerin etkinliğinin artırılmasında kullanılabilmektedir. Turizm endüstrisinde son yıllarda önem kazanan akıllı turizm uygulamalarının da müşteri istek ve beklentileri doğrultusunda geliştirildiği dikkat çekmektedir. Akıllı turizm uygulamalarında büyük veri kullanımına ilişkin çalışmalar bu doğrultuda önem kazanmaktadır. Bu bağlamda, akıllı turizm uygulamalarında büyük verinin kullanımına yönelik makalelerin içeriklerinin incelenmesi ve teorik olarak çıkarımlar elde edilmesi bu çalışmanın amacını oluşturmaktadır. Sistematik derleme yöntemi kullanılarak, belirlenen kriterlere göre uluslararası veritabanlarında makaleler taranmış ve analiz edilmiştir. Gerçekleştirilen analiz sonuçlarına göre, akıllı turizmde büyük veri kullanımı konulu az sayıda makale çalışmasının bulunduğu tespit edilmiştir. Bununla birlikte, destinasyon yönetimi, müşteri ilişkileri yönetimi, talep tahminleme ve değer oluşturma, akıllı turizmde büyük veri kullanımının en önemli fonksiyonları olarak vurgulanabilir.

Keywords

Büyük Veri, Akıllı Turizm, Sistematik Derleme

Use of Big Data in Smart Tourism: A Systematic Review

Abstract

As a result of the developments in technology and its widespread use among individuals, it is seen that the online environment is used more today. In the digital environment, there are various information about the people who use this medium and these are an important data source for businesses today. This huge data, which reaches huge amounts, is analyzed and can be used to increase the efficiency of the services provided. It is noteworthy that smart tourism applications, which have gained importance in the tourism industry in recent years, have been developed in line with customer demands and expectations. Studies on the use of big data in smart tourism applications gain importance in this direction. In this context, the aim of this study is to examine the articles on the use of big data in smart tourism applications and to obtain theoretical inferences. Using the systematic review method, articles were scanned and analyzed in international databases according to the determined criteria. According to the results of the analysis carried out, it has been determined that there are few articles on the use of big data in smart tourism. However, destination management, customer relationship management, demand forecasting and value creation can be highlighted as the most important functions provided by the use of big data in smart tourism.

Keywords

Big Data,, Smart Tourism, Systematic Review

References

• Aktan, E. (2018). Büyük veri: Uygulama alanları, analitiği güvenlik boyutu. Bilgi Yönetimi Dergisi, 1(1), 1-22.
• Altunışık, R. (2015). Büyük veri: Fırsatlar kaynağı mı yoksa yeni sorunlar yumağı mı?, Yıldız Social Science Review, 1(1), 45-76.
• Ardito, L., Cerchione, R., Vecchio, P. D. ve Raguseo, E. (2019). Big data in smart tourism: challenges, ıssues and opportunities. Current Issues in Tourism, 22(15), 1805-1809.
• Berhanu, K. ve Raj, S. (2020). The trustworthiness of travel and tourism ınformation sources of social media: Perspectives of ınternational tourists visiting Ethiopia. Heliyon, 6, 1-10.
• Boulaalam, O., Aghoutane, B., Ouadghiri, D. E., Moumen, A., vve Malinine, M. L. C. (2018). Proposal of a big data system based on the recommendation and profiling techniques for an ıntelligent management of Moroccan tourism. Procedia Computer Science, 134, 346-351.
• 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.
• Chen, W.-C., Chen, W.-H. ve Yang, S.-Y. (2018). A big data and time series analysis technology-based multi- agent system for smart tourism. Applied Sciences, 8, 1-21.
• Doğan, K. ve Arslantekin, S. (2016). Büyük Veri: Önemi, Yapısı ve Günümüzdeki Durum. DTCF Dergisi, 56(1), 15- 36.
• Femenia-Serra, F., Neuhofer, B. ve Ivars-Baidal, J. (2019). Towards a conceptualisation of smart tourists and their role within the smart destination scenario. The Service Industries Journal, 39(2), 109-133.
• Hanley, T. ve Cutts, L. (2013). What is a systematic review?. Counselling Psychological Society, 28(4), 3-6.
• 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.
• Keleher, H., Parker, R., Abdulwadud, O. ve Francis, K. (2009). Systematic review of the effectiveness of primary care nursing. International Journal of Nursing Practice, 15, 16-24.
• Khan, M. S., Woo, M., Nam, K. ve Chathoth, P. K. (2017). Smart city and smart tourism: A case of Dubai. Sustainability, 9, 1-24.
• Kontogianni, A. ve Alepis, E. (2020). Smart tourism: State of the art and literature review for the last six years. Array, 6, 1-12.
• Koyuncu, E. (2016). Kalkınma için büyük veri. 20 Mayıs 2020 tarihinde https://www.tepav.org.tr/upload/files/1452171925-1.Kalkinma_Icin_Buyuk_Veri.pdf adresinden erişilmiştir.
• Li, H., Hu, M. ve Li, G. (2020). Forecasting tourism demand with multisource big data. Annals of Tourism Research, 83, 102912.
• Li, X. ve Law, R. (2020). Network analysis of big data research in tourism. Tourism Management Perspectives, 33, 100608.
• Li, Y., Hu, C., Huang, C. ve Duan, L. (2017). The concept of smart tourism in the context of tourism ınformation services. Tourism Management, 58, 293-300.
• 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.
• Liberato, P. M. da C., Alen-Gonzalez, E. ve Liberato, D. F. V.de A. (2018). Digital technology in a smart tourist destination: The case of Porto. Journal of Urban Technology, 25(1), 75-97.
• Mariani, M., Baggio, R., Fuchs, M. ve Höepken, W. (2018). Business intelligence and big data in hospitality and tourism: A systematic literature review. International Journal of Contemporary Hospitality Management, 30(12), 3514-3554.
• Riahi, Y. ve Riahi, S. (2018). Big data and big data analytics: Concepts, types and technologies. International Journal of Research and Engineering, 5(9), 524-528.
• Shafiee, S. ve Ghatari, A. R. (2016). Big data in tourism ındustry. 10th International Conference on e- Commerce with Focus on e-Tourism, 15-16 April, Isfahan, Iran, 1-7.
• 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.
• Shao, J., Chang, X. ve Morrison, A. M. (2017). How can big data support smart scenic area management? An analysis of travel blogs on Huashan. Sustainability, 9, 1-17.
• Tan, A. H. T., Muskat, B. ve Zehrer, A. (2016). A systematic review of quality of student experience in higher education. International Journal of Quality and Service Sciences, 8(2), 209-228.
• Vecchio, P. D., Mele, G., Ndou, V. ve Secundo, G. (2018). Creating value from social big data: Implications for smart tourism destinations. Information Processing and Management, 54, 847-860.
• Villamediana-Pedrosa, J. D., Vila-Lopez, N. ve Küster-Boluda, I. (2019). Secrets to design an effective message on facebook: An application to a touristic destination based on big data analysis. Current Issues in Tourism, 22(15), 1841-1861.
• Volo, S. (2020). Tourism statistics, indicators and big data: A perspective article. Tourism Review, 75(1), 304- 309.
• Xu, C., Huang, X., Zhu, J. ve Zhang, K. (2018). Research on the construction of Sanya smart tourism city based on internet and big data. International Conference on Intelligent Transportation, Big Data & Smart City. 25- 26 January, Xiamen, China, 125-128.
• 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.
• Ye, B. H., Ye, H. ve Law, R. (2020). Systematic review of smart tourism research. Sustainability, 12, 1-15.
• Yin, H. ve Zhu, Y. (2017). The influence of big data and informatization on tourism industry. International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC), 16-18 October, Krakow, Poland. 1-5.