Misafirperverlik ve Turizmde Teknoloji Kullanımına İlişkin Bibliyometrik İnceleme: Retrospektif Bir İnceleme ve Gelecekteki Yönelimler

Year 2024, Volume: 5 Issue: 2, 48 - 63, 30.12.2024

Ümit Şengel , Zeynep Öztor

https://doi.org/10.58768/joinntt.1566163

Abstract

Bu çalışma, misafirperverlik ve turizmde teknoloji kullanımına ilişkin çalışmaları sistematik olarak değerlendirmeyi amaçlamaktadır. Bu bağlamda, misafirperverlik ve turizmde teknoloji kullanımına ilişkin çalışmalar için retrospektif bir yaklaşımla gelecekteki yönlendirmeleri sağlamayı amaçlamaktadır. Araştırma keşfedici niteliktedir ve misafirperverlik ve turizmde teknoloji tabanlı bilimsel çalışmaların yapısını ortaya çıkarmak için bibliyometrik analiz kullanmaktadır. Veriler “teknoloji” ve “misafirperverlik ve turizm” kodlanarak elde edilmiş ve toplam 1316 çalışma yapı ve içerik açısından incelenmiştir. Verilerin analizinde WOS veri tabanı ve VOSviewer programı kullanılmıştır. Misafirperverlik ve turizmde teknoloji kullanımına ilişkin çalışmaların geçmişi, teknoloji alanındaki gelişmelere paraleldir. Yayınların yayınlandığı dergiler yüksek etki faktörüne sahip olanlardır ve en çok atıf alan yazarlar yüksek h-indekslerine sahip olanlardır. Paper 1316 sağlamasına rağmen WOS veri tabanı ile sınırlıdır. Konuyla ilgili güncel çalışmalar robotik, akıllı turizm, artırılmış gerçeklik ve büyük veri gibi yapay zeka ile ilgili konulara odaklanmaktadır. Gelecekteki çalışmalarda benzer konular incelenebilir. Konuyla ilgili literatürdeki benzer çalışmalar genellikle belirli bir teknoloji konusuyla ilişkilendirilir. Bu çalışma genel olarak teknolojiyle ilgilendiğinden, konuya genel bir çerçevede retrospektif bir bakış sağlar ve çalışmalar için gelecek perspektifi sunar.

Keywords

Turizm Teknolojisi, Misafirperverlik ve Turizm, Bibliometrik Analiz

Bibliometric Review on use of Technology in Hospitality and Tourism: A Retrospektif Review and Future Directions

Abstract

This study aims to systematic evaluate studies on the use of technology in hospitality and tourism. In this respect, it aims to provide future directions for studies on the use of technology in hospitality and tourism with a retrospective approach. The research is exploratory and uses bibliometric analysis to reveal the structure of technology-based scientific studies in hospitality and tourism. Data were obtained by coding “technology” and “hospitality and tourism” and a total of 1316 studies were examined in terms of structure and content. The WOS database and the VOSviewer program were used to analyze the data. The history of studies on the use of technology in hospitality and tourism is parallel to the developments in technology. The journals in which publications are published are those with high impact factors, and the most cited authors are those with high h-indexes. Although Paper 1316 provides, it is limited to the WOS database. Current studies about topic focus on artificial intelligence-related topics such as robotics, smart tourism, augmented reality and big data. Similar topics can be studied in future studies. Similar studies in literature on the subject are generally associated with a specific technology topic. Since this study deals with technology in general, it provides a retrospective on the subject in a general framework and offers future directions for studies.

Keywords

Tourism Technology, Hospitality and Tourism, Bibliometric Analysis

References

• Akyürek, S., Genç, G., Çalık, İ., & Şengel, Ü. (2024). Metaverse in tourism education: A mixed method on vision, challenges and extended technology acceptance model. Journal of Hospitality, Leisure, Sport & Tourism Education, 35, 100503.
• Boes, K., Buhalis, D., & Inversini, A. (2016). Smart tourism destinations: ecosystems for tourism destination competitiveness. International Journal of Tourism Cities, 2(2), 108-124.
• Buhalis, D. (2000). Tourism and information technologies: Past, present and future. Tourism recreation research, 25(1), 41-58.
• Buhalis, D. (2003). eTourism: Information technology for strategic tourism management. New York: Pearson Education Publishing
• Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research. Tourism Management, 29(4), 609-623.
• Buhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, 104724.
• Carvalho, I., & Ivanov, S. (2024). ChatGPT for tourism: applications, benefits and risks. Tourism Review, 79(2), 290-303.
• Chung, N., Han, H., & Joun, Y. (2015). Tourists’ intention to visit a destination: The role of augmented reality (AR) application for a heritage site. Computers in Human Behavior, 50, 588-599.
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
• Doborjeh, Z., Hemmington, N., Doborjeh, M., & Kasabov, N. (2022). Artificial intelligence: a systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154-1176.
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
• Falko, Y. (2016). Analysis of the global distribution systems on the international market of tourist services. European Journal of Management Issues, 24(6), 15-22.
• Ferràs, X., Hitchen, E. L., Tarrats-Pons, E., & Arimany-Serrat, N. (2020). Smart tourism empowered by artificial intelligence: The case of Lanzarote. Journal of Cases on information Technology (JCIT), 22(1), 1-13.
• Ferreira, J., Vaz, M. F., Silvério, A. C., & Fernandes, P. O. (2022, June). The relationship of rural tourism with sustainable tourism and outdoor activities: A bibliometric analysis. In 2022 17th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-5). IEEE.
• Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099-4125.
• Gursoy, D., Malodia, S., & Dhir, A. (2022). The metaverse in the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 31(5), 527-534.
• Guttentag, D. A. (2010). Virtual reality: Applications and implications for tourism. Tourism Management, 31(5), 637-651.
• Huang, Y. C., Backman, K. F., Backman, S. J., & Chang, L. L. (2016). Exploring the implications of virtual reality technology in tourism marketing: An integrated research framework. International Journal of Tourism Research, 18(2), 116-128.
• Iqbal, A., Ramachandran, S., Siow, M. L., Subramaniam, T., & Afandi, S. H. M. (2022). Meaningful community participation for effective development of sustainable tourism: Bibliometric analysis towards a quintuple helix model. Journal of Outdoor Recreation and Tourism, 39, 100523.
• Işkın, M., Prentice, C., Eker, N., & Şengel, Ü. Understanding the Effects of Reservation Systems and Online Transaction Capacity on the Competitiveness of Travel Agencies. European Journal of Tourism, Hospitality and Recreation, 14(1), 55-70.
• Ivanov, S. H., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501-1517.
• Jabeen, F., Al Zaidi, S., & Al Dhaheri, M. H. (2022). Automation and artificial intelligence in hospitality and tourism. Tourism Review, 77(4), 1043-1061.
• Kırtıl, İ. G., & Aşkun, V. (2021). Artificial intelligence in tourism: A review and bibliometrics research. Advances in Hospitality and Tourism Research (AHTR), 9(1), 205-233.
• Knani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. International Journal of Hospitality Management, 107, 103317.
• Law, R., Buhalis, D., & Cobanoglu, C. (2014). Progress on information and communication technologies in hospitality and tourism. International Journal of Contemporary Hospitality Management, 26(5), 727-750.
• Law, R., Buhalis, D., & Cobanoglu, C. (2014). Progress on information and communication technologies in hospitality and tourism. International Journal of Contemporary Hospitality Management, 26(5), 727-750.
• Li, Y., Hu, C., Huang, C., & Duan, L. (2017). The concept of smart tourism in the context of tourism information services. Tourism Management, 58, 293-300.
• Miguéns, J., Baggio, R., & Costa, C. (2008). Social media and tourism destinations: TripAdvisor case study. Advances in tourism research, 26(28), 1-6.
• Mistilis, N., & Dwyer, L. (2000). Information technology and service standards in MICE tourism. In Journal of Convention & Exhibition Management (Vol. 2, No. 1, pp. 55-65). Taylor & Francis Group.
• Murphy, J., Gretzel, U., & Pesonen, J. (2021). Marketing robot services in hospitality and tourism: the role of anthropomorphism. In Future of Tourism Marketing (pp. 16-27). London: Routledge.
• Murphy, J., Hofacker, C., & Gretzel, U. (2017). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 15(2017), 104-111.
• Navío-Marco, J., Ruiz-Gómez, L. M., & Sevilla-Sevilla, C. (2018). Progress in information technology and tourism management: 30 years on and 20 years after the internet-Revisiting Buhalis & Law's landmark study about eTourism. Tourism management, 69, 460-470.
• Neuhofer, B., Buhalis, D., & Ladkin, A. (2014). A typology of technology‐enhanced tourism experiences. International Journal of Tourism Research, 16(4), 340-350.
• Öztürk, O., & Dil, E. (2022). Bibliometric analysis of organizational ecology theory (OET): To review past for directing the future of the field. Ege Academic Review, 22(2), 195-212.
• Pei, Y., & Zhang, Y. (2021). A study on the integrated development of artificial intelligence and tourism from the perspective of smart tourism. In Journal of Physics: Conference Series (Vol. 1852, No. 3, p. 032016). IOP Publishing.
• Radulović, L. (2013). The role and potential of Global Distribution System Amadeus for Tourism development at the global level. The European Journal of Applied Economics, 10(1), 28-38.
• Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2020). Impact of AI and robotics in the tourism sector: a critical insight. Journal of Tourism Futures, 8(1), 73-87.
• Schulz, A. (1996). The role of global computer reservation systems in the travel industry today and in the future. Electronic Markets, 6(2), 17-20.
• Sheldon, P. J. (1997). Tourism information technology. L. Dwyer & P. Forsyth (Eds.), In International handbook on the economics of tourism, Cheltenham: Elgar Publishing.
• Solakis, K., Katsoni, V., Mahmoud, A. B., & Grigoriou, N. (2024). Factors affecting value co-creation through artificial intelligence in tourism: A general literature review. Journal of Tourism Futures, 10(1), 116-130.
• Şengel, O., & Koç, A. (2022). Bibliometric review of studies on sustainable tourism and climate change in 2019. Turismo y Sociedad, 31, 161-176.
• Şengel, Ü. (2019). The Empirical Evaluation of Effecting Socio-economic Factors of Turkeys’ Tourism Demand. Unpublished Doctoral Dissertation, Sakarya University of Applied Sciences.
• Şengel, Ü., & Işkın, M. (2024). Intellectual structure on artificial intelligence studies in tourism and hospitality: a bibliometric analysis. Worldwide Hospitality and Tourism Themes, 16(2), 202-215.
• Şengel, Ü., Çevrimkaya, M., Işkın, M., & Zengin, B. (2022). The effects of corporate websites usability of travel agencies on their technological capabilities. Journal of Quality Assurance in Hospitality & Tourism, 23(6), 1575-1595.
• Tung, V. W. S., & Law, R. (2017). The potential for tourism and hospitality experience research in human-robot interactions. International Journal of Contemporary Hospitality Management, 29(10), 2498-2513.
• Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research, 81, 102883.
• Tussyadiah, I. P., Wang, D., Jung, T. H., & Tom Dieck, M. C. (2018). Virtual reality, presence, and attitude change: Empirical evidence from tourism. Tourism Management, 66, 140-154.
• van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
• Wang, D., Park, S., & Fesenmaier, D. R. (2012). The role of smartphones in mediating the touristic experience. Journal of Travel Research, 51(4), 371-387.
• Werthner, H., & Klein, S. (1999). ICT and the changing landscape of global tourism distribution. Electronic markets, 9(4), 256-262.
• Xiang, Z., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179-188.
• Yang, L., Chen, Z., Liu, T., Gong, Z., Yu, Y., & Wang, J. (2013). Global trends of solid waste research from 1997 to 2011 by using bibliometric analysis. Scientometrics, 96, 133-146.
• Yung, R., & Khoo-Lattimore, C. (2019). New realities: a systematic literature review on virtual reality and augmented reality in tourism research. Current Issues in Tourism, 22(17), 2056-2081.