TECHNOLOGY-DRIVEN TRENDS IN HOSPITALITY: THE RISE OF SMART HOTELS IN THE DIGITAL ERA
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.3912Keywords:
Smart Hotels, IoT, Hospitality Industry, Customer Satisfaction, Operational Efficiency, Data Privacy, Technology Adoption, AutomationAbstract [English]
This study investigates the integration of smart technologies in the hospitality sector, focusing on customer perceptions, adoption rates, and operational outcomes of smart hotels. Using a mixed-method approach and data from 150 respondents, the research evaluates critical factors influencing the acceptance of smart hotel technologies, including demographic variables, perceived benefits, and barriers. Advanced statistical techniques such as ANOVA, Chi-Square tests, and correlation analysis were applied to test hypotheses and derive meaningful insights. The results reveal that customer satisfaction and operational efficiencies significantly influence the adoption of smart hotel technologies, while challenges like data privacy concerns and high costs impede widespread implementation. The study highlights the role of automation, IoT-enabled services, and AI in enhancing customer experiences and streamlining operations. The findings underscore the need for tailored strategies to address diverse customer preferences and demographic variations, as well as robust solutions to mitigate privacy and cost concerns. This research contributes to both academic literature and practical applications by offering actionable recommendations for hotel operators aiming to maximize the benefits of smart technologies while addressing potential barriers.
References
Ainscow, M. (2020). Promoting inclusion and equity in education: lessons from international experiences. Nordic Journal of Studies in Educational Policy, 6(1), 7-16. DOI: https://doi.org/10.1080/20020317.2020.1729587
Aktan, C. (2007). Global higher education trends and transformation paradigms. In Higher Education in the Age of Change (pp. 1-43). Yaşar University Publishing.
Alwan, M., & Alshurideh, M. (2022). The effect of digital marketing on purchase intention: Moderating effect of brand equity. International Journal of Data and Network Science, 6(3), 837-848. DOI: https://doi.org/10.5267/j.ijdns.2022.2.012
Altbach, P. G., Reisberg, L., & Rumbley, L. E. (2009). Trends in global higher education: Tracking an academic revolution. Paris: UNESCO. DOI: https://doi.org/10.1163/9789004406155
Baker, M. A., Davis, E. A., & Weaver, P. A. (2014). Eco-friendly attitudes, barriers to participation, and differences in behavior at green hotels. Cornell Hospitality Quarterly, 55(1), 89-99. DOI: https://doi.org/10.1177/1938965513504483
Bercovitz, J., & Feldman, M. (2006). Entrepreneurial universities and technology transfer: A conceptual framework for understanding the knowledge-based economy. Journal of Technology Transfer, 31(2), 175-188. DOI: https://doi.org/10.1007/s10961-005-5029-z
Bok, D. (2007). Higher education in America. United States of America.
Brown, G. (2001). Assessment: A guide for lecturers. New York: Generic Centre: Learning and Teaching Support Network.
Brown, S., Race, P., & Smith, B. (1996). 500 tips on assessment. Milton Park: Routledge Falmer.
Casais, B., & Ferreira, L. (2023). Smart and sustainable hotels: tourism agenda 2030 perspective article. Tourism Review, 78(2), 344-351. DOI: https://doi.org/10.1108/TR-12-2022-0619
Chen, M.-F., & Tung, P.-J. (2014). Developing an extended theory of planned behavior model to predict consumers' intention to visit green hotels. International Journal of Hospitality Management, 36, 221-230. DOI: https://doi.org/10.1016/j.ijhm.2013.09.006
Choi, H., Jang, J., & Kandampully, J. (2015). Application of the extended VBN theory to understand consumers' decisions about green hotels. International Journal of Hospitality Management, 51, 87-95. DOI: https://doi.org/10.1016/j.ijhm.2015.08.004
Dalgic, A., & Birdir, K. (2020). Smart hotels and technological applications. In Handbook of Research on Smart Technology Applications in the Tourism Industry (pp. 323-343). IGI Global. DOI: https://doi.org/10.4018/978-1-7998-1989-9.ch015
Han, H., & Kim, Y. (2010). An investigation of green hotel customers' decision formation: Developing an extended model of the theory of planned behavior. International Journal of Hospitality Management, 29(4), 659-668. DOI: https://doi.org/10.1016/j.ijhm.2010.01.001
Han, H., & Yoon, H. J. (2015). Hotel customers' environmentally responsible behavioral intention: Impact of key constructs on decision in green consumerism. International Journal of Hospitality Management, 45, 22-33. DOI: https://doi.org/10.1016/j.ijhm.2014.11.004
Han, H., Lee, J.-S., Trang, H. L. T., & Kim, W. (2018). Water conservation and waste reduction management for increasing guest loyalty and green hotel practices. International Journal of Hospitality Management, 75, 58-66. DOI: https://doi.org/10.1016/j.ijhm.2018.03.012
Ilina, E. L., Miloradov, K. A., & Kovaltchuk, A. P. (2019). Green hotel: Concepts and implementation. Journal of Environmental Management and Tourism, 10(2), 300-306.
Kang, K. H., Stein, L., Heo, C. Y., & Lee, S. (2012). Consumers' willingness to pay for green initiatives of the hotel industry. International Journal of Hospitality Management, 31(2), 564-572. DOI: https://doi.org/10.1016/j.ijhm.2011.08.001
Kim, J. J., & Han, H. (2020). Hotel service innovation with smart technologies: Exploring consumers' readiness and behaviors. Sustainability, 14(10), 5746. DOI: https://doi.org/10.3390/su14105746
Kumar, N., Aggarwal, S., & Raj, P. (2021). The blockchain technology for secure and smart applications across industry verticals. Academic Press.
Laroche, M., Bergeron, J., & Barbaro-Forleo, G. (2001). Targeting consumers who are willing to pay more for environmentally friendly products. Journal of Consumer Marketing, 18(6), 503-520. DOI: https://doi.org/10.1108/EUM0000000006155
Lee, J.-S., Hsu, L.-T., Han, H., & Kim, Y. (2010). Understanding how consumers view green hotels: How a hotel's green image can influence behavioral intentions. Journal of Sustainable Tourism, 18(7), 901-914. DOI: https://doi.org/10.1080/09669581003777747
Manaktola, K., & Jauhari, V. (2007). Exploring consumer attitude and behavior towards green practices in the lodging industry in India. International Journal of Contemporary Hospitality Management, 19(5), 364-377. DOI: https://doi.org/10.1108/09596110710757534
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & López-Cózar, E. D. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations' COCI: A multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871-906. DOI: https://doi.org/10.1007/s11192-020-03690-4
Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., & Khan, M. S. (2021). The adoption of artificial intelligence and robotics in the hotel industry: Prospects and challenges. Electronic Markets, 31, 553-574. DOI: https://doi.org/10.1007/s12525-020-00442-3
Narayan, R., Gehlot, A., Singh, R., Akram, S. V., Priyadarshi, N., & Twala, B. (2022). Hospitality feedback system 4.0: Digitalization of feedback system with integration of Industry 4.0 enabling technologies. Sustainability, 14(19), 12158. DOI: https://doi.org/10.3390/su141912158
Prud’homme, B., & Raymond, L. (2013). Sustainable development practices in the hospitality industry: An empirical study of their impact on customer satisfaction and intentions. International Journal of Hospitality Management, 34, 116-126. DOI: https://doi.org/10.1016/j.ijhm.2013.03.003
Rahman, I., & Reynolds, D. (2016). Predicting green hotel behavioral intentions using a theory of environmental commitment and sacrifice for the environment. International Journal of Hospitality Management, 52, 107-116. DOI: https://doi.org/10.1016/j.ijhm.2015.09.007
Roberts, J. A. (1996). Green consumers in the 1990s: Profile and implications for advertising. Journal of Business Research, 36(3), 217-231. DOI: https://doi.org/10.1016/0148-2963(95)00150-6
Robinot, E., & Giannelloni, J. L. (2010). Do hotels' “green” attributes contribute to customer satisfaction? Journal of Services Marketing, 24(2), 157-169. DOI: https://doi.org/10.1108/08876041011031127
Stern, P. C. (2000). New environmental theories: Toward a coherent theory of environmentally significant behavior. Journal of Social Issues, 56(3), 407-424. DOI: https://doi.org/10.1111/0022-4537.00175
Teng, Y.-M., Wu, K.-S., & Liu, H.-H. (2015). Integrating altruism and the theory of planned behavior to predict patronage intention of a green hotel. Journal of Hospitality and Tourism Research, 39(3), 299-315. DOI: https://doi.org/10.1177/1096348012471383
Wider, W., Fauzi, M. A., Gan, S. W., Yap, C. C., Khadri, M. W. A. B. A., & Maidin, S. S. (2023). A bibliometric analysis of emerging adulthood in the context of higher education institutions. Heliyon, 9(6), e16988. DOI: https://doi.org/10.1016/j.heliyon.2023.e16988
Xu, X. (2018). Research on the construction and development of smart hotels from the perspective of serving customers. In 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018). Atlantis Press. DOI: https://doi.org/10.2991/icesem-18.2018.228
Yang, H., Song, H., Cheung, C., & Guan, J. (2021). How to enhance hotel guests' acceptance and experience of smart hotel technology: An examination of visiting intentions. International Journal of Hospitality Management, 97, Article 103000. DOI: https://doi.org/10.1016/j.ijhm.2021.103000
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Surendra Singh, Monu Sharma, Peeyush Raj Bangad
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
