MODERN TRENDS AND INNOVATIONS IN THE APPLICATION OF DIGITAL TECHNOLOGIES IN THE HOSPITALITY AND RESTAURANT BUSINESS
Abstract
The article examines modern trends and innovations in the hotel and restaurant business in the context of digitalization. The specifics of the hotel and restaurant business, as a service sector in which tourism trends, consumer preferences and technological capabilities are rapidly changing, presupposes the priority application of innovative technologies. The relevance of the use of digital technologies in the hotel and restaurant business is due to rapid technological changes, a service-oriented approach and changing consumer preferences. The modern hotel and restaurant business is experiencing a phase of large-scale digitalization, which is defined by new challenges and opportunities. The industry needs new innovations to ensure sustainable development and increase competitiveness. The problem lies in the need to identify trends and innovations that continue to develop the hotel and restaurant business in conditions of digitalization. The purpose of the study is to identify key digital trends and innovations that contribute to increasing the efficiency and quality of service in the hotel and restaurant sector. The object of the study is the modern hotel and restaurant business, which is in the phase of active digital transformation. The subject of the study is innovative digital technologies and trends that form new standards of service, management and marketing in the industry. Technologies that influence the increase of competitiveness, improvement of service and provision of strategic advantages of hotel and restaurant enterprises are studied. Digital transformation is deeply affecting the hotel and restaurant sector, which remains one of the most competitive and consumer-oriented industries. In today's environment, digital technologies contribute to increasing productivity, meeting the needs of guests and creating new business models. It was determined that digital technologies are a key driver of the development of the hotel and restaurant business. The introduction of automated management systems, personalization of service with the help of AI and the use of augmented reality significantly increase the competitiveness of enterprises. Further research can be aimed at studying the impact of digitalization on environmental sustainability and sustainable development in the hotel and restaurant industry.
References
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Desai, S., & Chakravarty, A. (2017). Big Data in Information Systems: Applications and Future Directions. Journal of Information Systems Technology and Planning, 13(2), 88-95. https://doi.org/10.1080/21570360.2017.1336641
Zikopoulos, P., & Eaton, C. (2011). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Education. Pp. 148-203.
Chen, M., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19(2), 171-209. https://doi.org/10.1007/s11036-013-0489-0 (in English)
Gandomi, A., & Haider, Z. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007 (in English)
Marr, B. (2016). Big Data in Practice. Wiley. P. 563. (in English)
Katal, A., Wazid, M., & Goudar, R. H. (2013). Big data: Issues, challenges, and technologies. 2013 International Conference on Emerging Trends and Applications in Computer Science (ETACS), 404-409. https://doi.org/10.1109/ETACS.2013.72 (in English)
Ranjan, J. (2016). Big data analytics: Theoretical framework and practical applications. Springer, 1-14. https://doi.org/10.1007/978-3-319-25743-2_1 (in English)
Shishkov, B., & Buhl, H. U. (2015). Business Process Management and Big Data. Proceedings of the 13th International Conference on Business Process Management (BPM 2015), 98-113. https://doi.org/10.1007/978-3-319-24280-4_8 (in English)
Hassani, H., & Silva, E. (2015). Big Data and Business Analytics: An Overview of the State of the Art. Business Intelligence and Big Data: Technologies and Applications, 1-23. https://doi.org/10.1007/978-3-319-14826-7_1 (in English)
Batini, C., Cappiello, C., Francalanci, C., & Maurino, A. (2012). Methodologies for Data Quality Assessment and Improvement. ACM Computing Surveys, 44(3), 1-51. https://doi.org/10.1145/2187671.2187674 (in English)
Hossain, M. U., & Khusro, S. (2018). Big Data in Business: Impact and Future Trends. International Journal of Computer Applications, 179(10), 34-39. https://doi.org/10.5120/ijca2018917137 (in English)
Desai, S., & Chakravarty, A. (2017). Big Data in Information Systems: Applications and Future Directions. Journal of Information Systems Technology and Planning, 13(2), 88-95. https://doi.org/10.1080/21570360.2017.1336641 (in English)
Zikopoulos, P., & Eaton, C. (2011). Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill Education. Pp. 148-203. (in English)
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