Pokaż uproszczony rekord

dc.contributor.authorH, Sandhya
dc.contributor.authorVarghese, Bindi
dc.date.accessioned2026-06-26T07:10:35Z
dc.date.available2026-06-26T07:10:35Z
dc.date.issued2026-05-28
dc.identifier.issn0867-5856
dc.identifier.urihttp://hdl.handle.net/11089/58653
dc.description.abstractTechnological progress in information and communication technologies (ICTs) has facilitated the implementation of automation and the integration of more advanced technologies in all industries. With the advent of robotics, artificial intelligence and service automation (RAISA) technologies, tourism service providers and market players have redirected their attention from traditional and conventional methods of service delivery to more modern and innovative approaches. Emerging technologies such as big data, mobile internet, the internet of things (IoT), and artificial intelligence (AI) have been fueling a rapid growth in innovations that facilitate a sustainable shift towards social robots. While AI is extensively studied in the field of tourism research, robotics and intelligent service automation have received less comprehensive research attention. The present study endeavors to investigate the prospective landscape of the travel and tourism sector using a rigorous qualitative secondary data analysis approach through web page content analysis on the awareness and usage of RAISA technologies in the global marketplace. The publication proposes four primary research objectives: investigating the advantages of RAISA, evaluating its usage and adaptability, examining the effects and difficulties of implementing the systems, and establishing a sustainable future with RAISA-enabled services. Research in these fields will facilitate the systematic and organized generation of knowledge, enabling the academic community to guarantee the advantageous implementations of intelligent automation in the tourism sector. This work presents a taxonomy for RAISA technologies in tourism and presents a persuasive case for how this interdisciplinary field should be included in conventional tourism research.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesTuryzm/Tourism;1en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectroboticsen
dc.subjectartificial intelligenceen
dc.subjectchatbotsen
dc.subjectvirtual realityen
dc.subjectservice automationen
dc.subjectsmart tourismen
dc.subjectdestination managementen
dc.titleRobotics, artificial intelligence and service automation (RAISA): A model for smart and sustainable destination managementen
dc.typeArticle
dc.page.number35-50
dc.contributor.authorAffiliationH, Sandhya - Christ University (Bangalore, Karnataka, India)en
dc.contributor.authorAffiliationVarghese, Bindi - Christ University (Bangalore, Karnataka, India)en
dc.identifier.eissn2080-6922
dc.referencesAbass, M.N., Soliman, S.G.S., & Zohry, A.M. (2023). Artificial intelligence techniques in Egyptian hotels: Current status and prospective. Egyptian Journal of Tourism and Hospitality, 30(1), 1–53.en
dc.referencesAgrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press.en
dc.referencesAhn, J.A., & Seo, S. (2018). Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity. International Journal of Hospitality Management, 74, 109–121. https://doi.org/10.1016/j.ijhm.2018.02.020en
dc.referencesAlexis, P. (2017). R-tourism: Introducing the potential impact of robotics and service automation in tourism. “Ovidius” University Annals, Series Economic Sciences, 17(1), 211–216. https://stec.univ-ovidius.ro/html/anale/RO/2017/Section-III/16.pdfen
dc.referencesAl-Hyari, H.S.A., Al-Smadi, H.M., & Weshah, S.R. (2023). The impact of artificial intelligence (AI) on guest satisfaction in hotel management: An empirical study of luxury hotels. GeoJournal of Tourism and Geosites, 48(2spl), 810–819. https://doi.org/10.30892/gtg.482spl15-1081en
dc.referencesAlketbi, M.A., Dalalah, D., & Dweiri, F. (2024). A framework for the characterization of aviation construction projects: The case of UAE. Buildings, 14(8), Article 2384. https://doi.org/10.3390/buildings14082384en
dc.referencesAl-Malki, A., Madandola, M., Al Thani, S., Bayram, G., Al-Kandari, A., & Furlan, R. (2024). Advancing urban mobility in the State of Qatar: Establishing a framework for autonomous vehicles in Doha. Journal of Infrastructure, Policy and Development, 8(3), Article 3051. http://doi.org/10.24294/jipd.v8i3.3051en
dc.referencesAmiri, M.H., & Kuşakcı, A.O. (2024). A scoping review of artificial intelligence applications in airports. CRPASE: Computational Research Progress in Applied Science & Engineering, 10(2), Article 2900. https://doi.org/10.61186/crpase.10.2.2900en
dc.referencesAmpountolas, A., Menconi, G., & Shaw, G. (2024). Metaverse research propositions: Online intermediaries. Tourism Economics, 30(1), 255–261. https://doi.org/10.1177/13548166231159520en
dc.referencesAnnamalai, R., Rasool, S.A., Deena, S., Venkatraman, K., & Soundaram, Y. (2024). Sentiment analysis using VADER: Unveiling customer sentiment and predicting buying behavior in the airline industry. In 2024 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE) (pp. 277–282). IEEE. https://doi.org/10.1109/ICWITE59797.2024.10503389en
dc.referencesAskarpour, M., Mandrioli, D., Rossi, M., & Vicentini, F. (2019). Formal model of human erroneous behavior for safety analysis in collaborative robotics. Robotics and Computer-Integrated Manufacturing, 57, 465–476. https://doi.org/10.1016/j.rcim.2019.01.001en
dc.referencesAzarmi, S.L., Alipour, H., & Oladipo, A.A. (2017). Using artificial neural network and desirability function to predict waste generation rates in small and large hotels during peak and lean seasons. In A. Ozturen, D. Gursoy & H. Kilic (Eds.), Advances in Hospitality and Tourism Marketing and Management (AHTMM): Conference proceedings, 10–15 July 2017 (pp. 539–547). Eastern Mediterranean University and Washington State University.en
dc.referencesBen-Ari, M., & Mondada, F. (2018). Elements of robotics. Springer. https://doi.org/10.1007/978-3-319-62533-1en
dc.referencesBenckendorff, P.J., Xiang, Z., & Sheldon, P.J. (2019). Tourism information technology (3rd ed.). CABI.en
dc.referencesBerezina, K., Ciftci, O., & Cobanoglu, C. (2019). Robots, artificial intelligence, and service automation in restaurants. In S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence and service automation in travel, tourism and hospitality (pp. 185–219). Emerald Publishing. https://doi.org/10.1108/978-1-78756-687-320191010en
dc.referencesBhatt, S., Verma, P., & Tyagi, P.K. (2024). The future of work: AI and human collaboration in service marketing delivery. In V. Nadda, P.K. Tyagi, A. Singh & V. Singh (Eds.), AI innovations in service and tourism marketing (pp. 311–328). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-7909-7.ch015en
dc.referencesBhaumik, A. (2018). From AI to robotics: Mobile, social, and sentient robots. CRC Press; Taylor & Francis Group. https://doi.org/10.1201/9781315372549en
dc.referencesBilgihan, A., & Ricci, P. (2024). The new era of hotel marketing: Integrating cutting-edge technologies with core marketing principles. Journal of Hospitality and Tourism Technology, 15(1), 123–137. https://doi.org/10.1108/JHTT-04-2023-0095en
dc.referencesBolté, N.Y., Pijls, R., & Ten Tije, S. (2024). Get ready for the future of tourism and hospitality with the smart hospitality wheel. In K. Berezina, L. Nixon & A. Tuomi (Eds.), Information and Communication Technologies in Tourism 2024: ENTER 2024 International eTourism Conference, Izmir, Türkiye, January 17–19 (pp. 272–277). Springer. https://doi.org/10.1007/978-3-031-58839-6_29en
dc.referencesBooranakittipinyo, A., Li, R.Y.M., & Phakdeephirot, N. (2024). Travelers’ perception of smart airport facilities: An X (Twitter) sentiment analysis. Journal of Air Transport Management, 118, Article 102600. https://doi.org/10.1016/j.jairtraman.2024.102600en
dc.referencesBuhalis, D. (1998). Strategic use of information technologies in the tourism industry. Tourism Management, 19(5), 409–421. https://doi.org/10.1016/S0261-5177(98)00038-7en
dc.referencesBuhalis, D. (2000). Marketing the competitive destination of the future. Tourism Management, 21(1), 97–116. https://doi.org/10.1016/S0261-5177(99)00095-3en
dc.referencesBuhalis, 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. https://doi.org/10.1016/j.tourman.2008.01.005en
dc.referencesBuhalis, D., & Licata, M.C. (2002). The future etourism intermediaries. Tourism Management, 23(3), 207–220. https://doi.org/10.1016/S0261-5177(01)00085-1en
dc.referencesBuhalis, D., Leung, X.Y., Fan, D., Darcy, S., Chen, G., Xu, F., Tan, G.W.-H., Nunkoo, R., & Farmaki, A. (2023). Editorial: Tourism 2030 and the contribution to the sustainable development goals: The tourism review viewpoint. Tourism Review, 78(2), 293–313. https://doi.org/10.1108/TR-04-2023-620en
dc.referencesBuhalis, D., Leung, D., & Lin, M. (2023). Metaverse as a disruptive technology revolutionising tourism management and marketing. Tourism Management, 97, Article 104724. https://doi.org/10.1016/j.tourman.2023.104724en
dc.referencesBuhalis, D., & O’Connor, P. (2005). Information communication technology revolutionizing tourism. Tourism Recreation Research, 30(3), 7–16. https://doi.org/10.1080/02508281.2005.11081482en
dc.referencesBulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Z. Xiang, M. Fuchs, U. Gretzel & W. Höpken (Eds.), Handbook of e-tourism (pp. 1943–1962). Springer. https://doi.org/10.1007/978-3-030-05324-6_110-1en
dc.referencesChahal, H., & Devi, S. (2024). Drivers of service ecosystem: Moderating role of organizational culture in North Indian hotels. International Journal of Quality and Service Sciences, 16(2), 295–323. https://doi.org/10.1108/IJQSS-07-2023-0099en
dc.referencesChang, J.R., & Choi Magnusson, C. (2021). The dynamic process of brand negotiation in virtual brand communities in the airline industry: A case study of a full-service carrier, KLM Royal Dutch Airlines [Master’s thesis, School of Business, Economics and Law at the University of Gothenburg]. Gothenburg University Library – GUPEA. http://hdl.handle.net/2077/69010en
dc.referencesCheong, H., Lyons, A., Houghton, R., & Majumdar, A. (2023). Secondary qualitative research methodology using online data within the context of social sciences. International Journal of Qualitative Methods, 22. https://doi.org/10.1177/16094069231180160en
dc.referencesChiwaridzo, O.T., & Chiwaridzo, S. (2024). From crisis to prosperity: Leveraging robots, artificial intelligence, and service automation for sustainable tourism in Zimbabwe. Business Strategy and Development, 7(2), Article e380. https://doi.org/10.1002/bsd2.380en
dc.referencesChristou, P., Hadjielias, E., Simillidou, A., & Kvasova, O. (2023). The use of intelligent automation as a form of digital transformation in tourism: Towards a hybrid experiential offering. Journal of Business Research, 155(Part B), Article 113415. https://doi.org/10.1016/j.jbusres.2022.113415en
dc.referencesClough, D.R., & Wu, A. (2024). Metaverse management as urban planning: Lessons from Paradise (Nevada). California Management Review, 66(4), 121–139. https://doi.org/10.1177/00081256241247067en
dc.referencesCohen, S.A., & Hopkins, D. (2019). Autonomous vehicles and the future of urban tourism. Annals of Tourism Research, 74, 33–42. https://doi.org/10.1016/j.annals.2018.10.009en
dc.referencesCompiani, G., Lewis, G., Peng, S., & Wang, P. (2024). Online search and optimal product rankings: An empirical framework. Marketing Science, 43(3), 615–636. https://doi.org/10.1287/mksc.2022.0071en
dc.referencesDasgupta, S., & Jamader, A.R. (2024, July 16). Revolutionizing tourism and hospitality: Harnessing AI for sustainable transformation. Social Science Research Network. http://doi.org/10.2139/ssrn.4896697en
dc.referencesDaugherty, P.R., & Wilson, H.J. (2018). Human + machine: Reimagining work in the age of AI. Harvard Business Review Press.en
dc.referencesDavenport, T.H. (2018). The AI advantage: How to put artificial intelligence revolution to work. The MIT Press. https://doi.org/10.7551/mitpress/11781.001.0001en
dc.referencesDeputat, M., Podolian, M., Zhupnyk, V., Terletska, K., & Gorishevskyy, P. (2024). Evolution of information systems and technologies in the hospitality and tourism sector: A historical perspective. Multidisciplinary Science Journal, 6, Article e2024ss0729. https://doi.org/10.31893/multiscience.2024ss0729en
dc.referencesDev, C.S. (2023). The next 100 years: Hospitality guests of tomorrow. Cornell University Library – eCommons. https://hdl.handle.net/1813/113263en
dc.referencesDey, S., & Shukla, D. (2020). Analytical study on use of AI techniques in tourism sector for smarter customer experience management. In International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, 2020 (pp. 1–5). IEEE. https://doi.org/10.1109/ICCSEA49143.2020.9132925en
dc.referencesDhoundiyal, H., & Mohanty, P. (2022). Artificial intelligence and robotics driving Tourism 4.0: An exploration. In A. Hassan (Ed.), Handbook of technology application in tourism in Asia (pp. 1265–1285). Springer. https://doi.org/10.1007/978-981-16-2210-6_57en
dc.referencesDivakaruni, A., & Navarro Sarmiento, P. (2024, May 27). Capacity disruptions and pricing: Evidence from US Airlines. Social Science Research Network. http://doi.org/10.2139/ssrn.4718902en
dc.referencesDunis, C.L., Middleton, P.W., Karathanasopolous, A., & Theofilatos, K.A. (Eds.). (2017). Artificial intelligence in financial markets: Cutting-edge applications for risk management, portfolio optimization and economics. Palgrave Macmillan. https://doi.org/10.1057/978-1-137-48880-0en
dc.referencesErbay, M. (2024). Automation and robotics of the tourism industry. In V.K. Shukla, A. Verma & J.P.G. Lacap (Eds.), Artificial intelligence for smart technology in the hospitality and tourism industry (pp. 119–130). Apple Academic Press.en
dc.referencesErtel, W. (2017). Introduction to artificial intelligence (2nd ed.). Springer. https://doi.org/10.1007/978-3-319-58487-4en
dc.referencesFagnant, D.J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181. https://doi.org/10.1016/j.tra.2015.04.003en
dc.referencesFelt, U., & Sepehr, P. (2024). Infrastructuring citizenry in smart city Vienna: Investigating participatory smartification between policy and practice. Journal of Responsible Innovation, 11(1), Article 2313303. https://doi.org/10.1080/23299460.2024.2313303en
dc.referencesFlorido-Benítez, L. (2024). The cybersecurity applied by online travel agencies and hotels to protect users’ private data in smart cities. Smart Cities, 7(1), 475–495. https://doi.org/10.3390/smartcities7010019en
dc.referencesFrank, M., Roehring, P., & Pring, B. (2017). What to do when machines do everything: How to get ahead in a world of AI, algorithms, bots and big data. Wiley.en
dc.referencesGarcía-Madurga, M.Á., & Grilló-Méndez, A.J. (2023). Artificial intelligence in the tourism industry: An overview of reviews. Administrative Sciences, 13(8), Article 172. https://doi.org/10.3390/admsci13080172en
dc.referencesGeske, A.M., Herold, D.M., & Kummer, S. (2024). Artificial intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues. Journal of the Air Transport Research Society, 3, Article 100030. https://doi.org/10.1016/j.jatrs.2024.100030en
dc.referencesGoel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism sector: Literature review and future research agenda. Tourism Review, 77(4), 1081–1096. https://doi.org/10.1108/TR-03-2021-0138en
dc.referencesGomes, S., Lopes, J.M., & Ferreira, L. (2023). Looking at the tourism industry through the lenses of Industry 4.0: A bibliometric review of concerns and challenges. Journal of Hospitality and Tourism Insights, 7(1), 436–457. https://doi.org/10.1108/JHTI-10-2022-0479en
dc.referencesGonçalves, A.R., Costa Pinto, D., Shuqair, S., Mattila, A., & Imanbay, A. (2024). The paradox of immersive artificial intelligence (AI) in luxury hospitality: How immersive AI shapes consumer differentiation and luxury value. International Journal of Contemporary Hospitality Management, 36(1), 3865–3888. https://doi.org/10.1108/IJCHM-11-2023-1689en
dc.referencesGranström, D.E.A.S., Pronk, A.M., & Criscione-Naylor, N. (2023). Robotic services in the hotel industry: An examination of Henn Na Hotels. International Journal of Gaming, Hospitality and Tourism, 3(1). https://www.ijght.org/index.php/light/article/view/63/28en
dc.referencesGretzel, U. (2023). The future of blockchain technology for tourism and hospitality. In I. Onder & F. Acikgoz (Eds.), Blockchain for tourism and hospitality industries (pp. 139–150). Routledge.en
dc.referencesGretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2015). Smart tourism: Foundations and developments. Electronic Markets, 25, 179–188. https://doi.org/10.1007/s12525-015-0196-8en
dc.referencesGrobbelaar, W., Verma, A., & Shukla, V.K. (2024). Blockchain integration in the hospitality industry. V.K. Shukla, A. Verma & J.P.G. Lacap (Eds.), Artificial intelligence for smart technology in the hospitality and tourism industry (pp. 25–47). Apple Academic Press.en
dc.referencesGrosche, T., & Klophaus, R. (2024). Codesharing and airline partnerships within, between and outside global alliances. Journal of Air Transport Management, 117, Article 102591. https://doi.org/10.1016/j.jairtraman.2024.102591en
dc.referencesGuan, X., & Jiang, K. (2024). Satisfaction evaluation system of Macau attractions based on online evaluation data. In Proceedings of the 2024 7th International Conference on Data Storage and Data Engineering (pp. 34–44). Association for Computing Machinery. https://doi.org/10.1145/3653924.3653930en
dc.referencesHinson, R.E., Mensah, I., Amoako, G.K., Mensah, E.A., Coffie, I., & Khosa, E. (2024). Hospitality and tourism marketing: Building customer driven hospitality and tourism organizations. Routledge. https://doi.org/10.4324/9781032688497en
dc.referencesHuang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., & Wei, W. (2022). When artificial intelligence meets the hospitality and tourism industry: An assessment framework to inform theory and management. Journal of Hospitality and Tourism Insights, 5(5), 1080–1100. https://doi.org/10.1108/JHTI-01-2021-0021en
dc.referencesHuang, M.-H., & Rust, R.T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459en
dc.referencesHuang, S.(K.). (2024). The integration of hybrid business model strategies and technologies about LCCs and FSCs [Bachelor’s thesis, Haaga-Helia University of Applied Sciences]. THESEUS – Open Repository of the Universities of Applied Sciences. https://urn.fi/URN:NBN:fi:amk-2024051311054en
dc.referencesIvanov, S. (2019). Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries? Zeitschrift für Tourismuswissenschaft, 11(1), 25–43. https://doi.org/10.1515/tw-2019-0003en
dc.referencesIvanov, S., Gretzel, U., Berezina, K., Sigala, M., & Webster, C. (2019). Progress on robotics in hospitality and tourism: A review of the literature. Journal of Hospitality and Tourism Technology, 10(4), 489–521. https://doi.org/10.1108/JHTT-08-2018-0087en
dc.referencesIvanov, S., & Webster, C. (2017a). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies: A cost-benefit analysis. In V. Marinov, M. Vodenska, M. Assenova & F. Dogramadjieva (Eds.), Proceedings International Scientific Conference: “Contemporary tourism – traditions and innovations” 19–20 October 2017, Sofia (pp. 168–191). St. Kliment Ohridski University Press.en
dc.referencesIvanov, S.H., & Webster, C. (2017b). Designing robot-friendly hospitality facilities. Social Science Research Network. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3053206en
dc.referencesIvanov, S.H., & Webster, C. (2017c). The robot as a consumer: A research agenda [Paper presented at the “Marketing: Experience and perspectives” Conference, 29–30 June, University of Economics – Varna, Bulgaria]. Social Science Research Network. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2960824en
dc.referencesIvanov, S., & Webster, C. (2019a). Perceived appropriateness and intention to use service robots in tourism. In J. Pesonen & J. Neidhardt (Eds.), Information and Communication Technologies in Tourism 2019: Proceedings of the International Conference in Nicosia, Cyprus, January 30–February 1, 2019 (pp. 237–248). Springer. https://doi.org/10.1007/978-3-030-05940-8_19en
dc.referencesIvanov, S., & Webster, C. (2019b). What should robots do? A comparative analysis of industry professionals, educators and tourists. In J. Pesonen & J. Neidhardt (Eds.), Information and Communication Technologies in Tourism 2019: Proceedings of the International Conference, Nicosia, Cyprus, January 30–February 1, 2019 (pp. 249–262). Springer. https://doi.org/10.1007/978-3-030-05940-8_20en
dc.referencesJabeen, F., Al Zaidi, S., & Al Dhaheri, M.H. (2022). Automation and artificial intelligence in hospitality and tourism. Tourism Review, 77(4), 1043–1061. https://doi.org/10.1108/TR-09-2019-0360en
dc.referencesJaipuriar, S., Pal, S., & Rawal, Y.S. (2024). Transforming hospitality experiences: An exploratory study of service robots in the hospitality industry. In R. Correia, M. Martins & R. Fontes (Eds.), AI innovations for travel and tourism (pp. 121–134). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-2137-9.ch007en
dc.referencesJamshed, K., Qureshi, M.A., Kishwer, R., & Jamshaid, S. (2024). The benefits and challenges of artificial intelligence applications in tourism industry: How the hospitality industry in Japan is transforming. In A. Alnoor, G.E. Bayram, C.X. Ying & S.H.A. Shah (Eds.), The role of artificial intelligence in regenerative tourism and green destinations (pp. 129–147). Emerald Publishing. https://doi.org/10.1108/978-1-83753-746-420241009en
dc.referencesJamshed, K., Shah, S.H.A., Jebli, F., & Al-Ghazali, B.M. (2024). Smart destinations and artificial intelligence for rethinking and rebuilding tourism: Case from China and Hong Kong. In A. Alnoor, G.E. Bayram, C.X. Ying & S.H.A. Shah (Eds.), The role of artificial intelligence in regenerative tourism and green destinations (pp. 115–128). Emerald Publishing. https://doi.org/10.1108/978-1-83753-746-420241008en
dc.referencesJevinger, Å., Zhao, C., Persson, J.A., & Davidsson, P. (2024). Artificial intelligence for improving public transport: A mapping study. Public Transport, 16(1), 99–158. https://doi.org/10.1007/s12469-023-00334-7en
dc.referencesJin, D. (2024). Navigating the spectrum of human-robot collaboration: Addressing robophobia-robophilia in the hospitality industry. International Journal of Hospitality Management, 122, Article 103840. https://doi.org/10.1016/j.ijhm.2024.103840en
dc.referencesJindal, R., & Kaur, H. (2024). Managing guest expectations and safety with AI and smart solutions. In S. Kumar, M. Talukder, & A. Pego (Eds.), Utilizing smart technology and AI in hybrid tourism and hospitality (pp. 118–139). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1978-9.ch006en
dc.referencesJogarao, M. (2024). AI in the hospitality industry: Revolutionizing guest experience. In P. Thaichon, P.K. Dutta, P.R. Chelliah & S. Gupta (Eds.), Technology and luxury hospitality: AI, blockchain and the metaverse (pp. 199–210). Routledge.en
dc.referencesJörling, M., Böhm, R., & Paluch, S. (2019). Service robots: Drivers of perceived responsibility for service outcomes. Journal of Service Research, 22(4), 404–420. https://doi.org/10.1177/1094670519842334en
dc.referencesJose, S.V., Sandhya, H., & Varghese, B. (2023). Artificial intelligence towards smart green transportation: A path towards sustainability. In P. Sinnappan (Ed.), Achieving economic growth and welfare through green consumerism (pp. 102–124). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-8140-0.ch005en
dc.referencesKasarda, J.D., & Chen, M.I. (2024). Harnessing the AI revolution. Airport World, (2), 20–23. https://doi.org/10.17615/r3qw-3f53en
dc.referencesKelly, M.M., Martin-Peters, T., & Farber, J.S. (2024). Secondary data analysis: Using existing data to answer new questions. Journal of Pediatric Health Care, 38(4), 615–618. https://doi.org/10.1016/j.pedhc.2024.03.005en
dc.referencesKemer, E., & Tyagi, P.K. (2023). Application of artificial intelligence and robotics in tourism and hospitality marketing. In P. Tyagi, V. Nadda, V. Bharti & E. Kemer (Eds.), Embracing business sustainability through innovation and creativity in the service sector (pp. 125–140). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-6732-9.ch008en
dc.referencesKhan, M.S., Woo, M., Nam, K., & Chathoth, P.K. (2017). Smart city and smart tourism: A case of Dubai. Sustainability, 9(12), Article 2279. https://doi.org/10.3390/su9122279en
dc.referencesKim, T., Jo, H., Yhee, Y., & Koo, C. (2022). Robots, artificial intelligence, and service automation (RAISA) in hospitality: Sentiment analysis of YouTube streaming data. Electronic Markets, 32(1), 259–275. https://doi.org/10.1007/s12525-021-00514-yen
dc.referencesKnani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. International Journal of Hospitality Management, 107, Article 103317. https://doi.org/10.1016/j.ijhm.2022.103317en
dc.referencesKoçak, B.B. (2023). Deep learning techniques for short-term air passenger demand forecasting with destination insight: A case study in the New Zealand air market. In E. Akcagündüz (Ed.), International research in social, human and administrative sciences: Vol. 12 (pp. 61–81). Eğitim Yayinevi.en
dc.referencesKozinets, R.V., Gretzel, U., & Gambetti, R. (2023). Influencers & creators: Business, culture and practice. SAGE Publications.en
dc.referencesKrishna, S.M., Koujalagi, A., Kedareswari, B., Reddy, K.S., Sharif, M.D.M., & Reddy, M.C.R. (2024). Sky Sage: Revolutionizing airfare prediction with advanced machine learning integration. In K.R. Madhavi, P.S. Rao, J. Avanija, I.L. Manikyamba & B. Unhelkar (Eds.), Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET – 2024) (pp. 1259–1271). Atlantis Press. https://doi.org/10.2991/978-94-6463-471-6_121en
dc.referencesLee, H., Koo, C., & Chung, N. (2024). Assessing the economic effects of investment in smart tourism platforms. Tourism Economics, 31(2), 263–284 https://doi.org/10.1177/13548166241263643en
dc.referencesLeong, W.Y., Leong, Y.Z., & Leong, W.S. (2024). Smart tourism in ASEAN: Leveraging technology for sustainable development and enhanced visitor experiences. International Journal of Social Sciences and Artistic Innovations, 4(3), 19–31. https://doi.org/10.35745/ijssai2024.v04.03.0003en
dc.referencesLestari, N.S., Rosman, D., & Putranto, T.S. (2021). The relationship between robot, artificial intelligence, and service automation (RAISA) awareness, career competency, and perceived career opportunities: Hospitality student perspective. In 2021 International Conference on Information Management and Technology (ICIMTech): Vol. 1 (pp. 690–695). IEEE. https://doi.org/10.1109/ICIMTech53080.2021.9535054en
dc.referencesLeung, R. (2024). “Konnichiwa, Mr. Robot”: A direct observation of hotel visitors’ attitudes and anxiety regarding service robots. International Hospitality Review, 38(1), 11–27. https://doi.org/10.1108/IHR-08-2021-0058en
dc.referencesLimna, P. (2022). Artificial intelligence (AI) in the hospitality industry: A review article. International Journal of Computing Sciences Research, 7(SI), 1306–1317. https://doi.org/10.25147/ijcsr.2017.001.1.103en
dc.referencesLiu, X., Lin, J., Jiang, X., Chang, T., & Lin, H. (2024a). EWOM information richness and online user review behavior: Evidence from TripAdvisor. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 880–898. https://doi.org/10.3390/jtaer19020046en
dc.referencesLiu, Y., Chi, M., & Sun, Q. (2024). Sarcasm detection in hotel reviews: A multimodal deep learning approach. Journal of Hospitality and Tourism Technology, 15(4), 519–533. https://doi.org/10.1108/JHTT-04-2023-0098en
dc.referencesLu, L., Cai, R., & Gursoy, D. (2019). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36–51. https://doi.org/10.1016/j.ijhm.2019.01.005en
dc.referencesLukanova, G., & Ilieva, G. (2019). Robots, artificial intelligence, and service automation in hotels. In S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence and service automation in travel, tourism and hospitality (pp. 157–183). Emerald Publishing. https://doi.org/10.1108/978-1-78756-687-320191009en
dc.referencesMa, L., Liu, C., & Zhan, Y. (2024). How smart city construction affects destination tourism efficiency. Tourism Economics, 30(6), 1600–1623. https://doi.org/10.1177/13548166231221849en
dc.referencesMäkelä, M. (2024). Artificial intelligence to benefit the passenger experience at the airport [Master’s thesis, Haaga-Helia University of Applied Sciences]. THESEUS – Open Repository of the Universities of Applied Sciences. https://urn.fi/URN:NBN:fi:amk-202405079901en
dc.referencesMariani, M., Baggio, R., Fuchs, M., & 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. https://doi.org/10.1108/IJCHM-07-2017-0461en
dc.referencesMartins, M., Castro e Quadros, R.C., & Barqueiro, A. (2024). Personalization strategies and passenger satisfaction analysis in full-service airlines: A study of Lisbon airport’s leading carriers. In S. Kurnaz, A. Rodrigues & A. Padhra (Eds.), Strategic management and policy in the global aviation industry (pp. 173–202). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-0908-7.ch010en
dc.referencesMejia, C., Crandell, H.A., Broker, E., & Shoss, M. (2024). Working with service robots in the dining room: Employees’ perspectives and realities. Journal of Hospitality and Tourism Technology, 15(5), 878–896. https://doi.org/10.1108/JHTT-12-2023-0420en
dc.referencesMellinas, J.P., María-Dolores, S.M.M., & García, J.J.B. (2015). Booking.com: The unexpected scoring system. Tourism Management, 49, 72–74. https://doi.org/10.1016/j.tourman.2014.08.019en
dc.referencesMendez Alva, F., De Boever, R., & Van Eetvelde, G. (2021). Hubs for circularity: Geo-based industrial clustering towards urban symbiosis in Europe. Sustainability, 13(24), Article 13906. https://doi.org/10.3390/su132413906en
dc.referencesMerlo, T.R. (2024). Emerging role of artificial intelligence (AI) in aviation: Using predictive maintenance for operational efficiency. In A. Yilmaz (Ed.), Harnessing digital innovation for air transportation (pp. 28–46). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-0732-8.ch002en
dc.referencesMetcalfe, M., Flom, N., Colby, H., Robles, D., & Dailey, L. (Deloitte). (2024). Additional aviation sustainability strategies: Assessment, evaluation, & analysis [Contractor or grantee report]. NTRS – NASA Technical Reports Server. https://ntrs.nasa.gov/citations/20240007518en
dc.referencesMishra, U., Jayawardena, N.S., & Thaichon, P. (2024). Exploring the role of artificial intelligence for luxury hotel brands: A case study in Europe. In P. Thaichon, P.K. Dutta, P.R. Chelliah & S. Gupta (Eds.), Technology and luxury hospitality: AI, blockchain and the metaverse (pp. 278–294). Routledge.en
dc.referencesMunawar, R., Hardani, H.I., & Idajati, H. (2022). Travel for leisure or social media content? In J. Damanik, B. Mohammed, D. Widyastuti, N. Irdana & H. Oktadiana (Eds.), Proceedings of the International Academic Conference on Tourism (INTACT) “Post pandemic tourism: Trends and future directions” (INTACT 2022) (pp. 106–119). Atlantis Press. https://doi.org/10.2991/978-2-494069-73-2_9en
dc.referencesNaumov, N. (2019). The impact of robots, artificial intelligence, and service automation on service quality and service experience in hospitality. In S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence and service automation in travel, tourism and hospitality (pp. 123–133). Emerald Publishing. https://doi.org/10.1108/978-1-78756-687-320191007en
dc.referencesNgo, T., & Tsui, K.W.H. (2023). Price reaction in New Zealand’s duopolistic airline market. International Journal of the Economics of Business, 30(2), 159–184. https://doi.org/10.1080/13571516.2023.2173933en
dc.referencesNica, I., Tazl, O.A., & Wotawa, F. (2018). Chatbot-based tourist recommendations using model-based reasoning. CEUR Workshop Proceedings, 3643, 25–30. https://novuscpq.com/wp-content/uploads/2018/10/proceedings-configuration-workshop-2018_YslTwntH.pdf#page=33en
dc.referencesNie, T. (2023). Machine learning for forecasting future reservations’ ratings: Radisson Blu Seaside in Helsinki [Master’s thesis, Åbo Akademi University]. DSpace. https://urn.fi/URN:NBN:fi-fe2023050340807en
dc.referencesNoor, N., & Sim, K.S. (2024). Impact of AI on the flower of service model in the hospitality industry. In R. Correia, M. Martins & R. Fontes (Eds.), AI innovations for travel and tourism (pp. 58–81). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-2137-9.ch004en
dc.referencesOctavia, Y.F., Dewi, L.K.C., Dharmawan, D., Ekasari, S., & Erdi, H. (2024). The influence of customer value, customer trust and electronic service quality on customer satisfaction of Traveloka. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi), 10(1), 283–288. https://doi.org/10.35870/jemsi.v10i1.1908en
dc.referencesOgle, A., & Lamb, D. (2019). The role of robots, artificial intelligence, and service automation in events. In S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence and service automation in travel, tourism and hospitality (pp. 255–269). Emerald Publishing. https://doi.org/10.1108/978-1-78756-687-320191012en
dc.referencesPencarelli, T. (2020). The digital revolution in the travel and tourism industry. Information Technology & Tourism, 22(3), 455–476. https://doi.org/10.1007/s40558-019-00160-3en
dc.referencesPrentice, C., & Pawlicz, A. (2024). Addressing data quality in Airbnb research. International Journal of Contemporary Hospitality Management, 36(3), 812–832. https://doi.org/10.1108/IJCHM-10-2022-1207en
dc.referencesPriya, N., Satpathy, I., Patnaik, B.C.M., & Thaichon, P. (2024). Transforming workplace wellness in the next-generation hospitality industry by leveraging transformational digital technologies and tools. In P. Thaichon, P.K. Dutta, P.R. Chelliah & S. Gupta (Eds.), Technology and luxury hospitality: AI, blockchain and the metaverse (pp. 295–313). Routledge.en
dc.referencesReis, J. (2024). Customer service through AI-powered human-robot relationships: Where are we now? The case of Henn na cafe, Japan. Technology in Society, 77, Article 102570. https://doi.org/10.1016/j.techsoc.2024.102570en
dc.referencesSaid, N., Ben Mansour, K., Bahri-Ammari, N., Yousaf, A., & Mishra, A. (2024). Customer acceptance of humanoid service robots in hotels: Moderating effects of service voluntariness and culture. International Journal of Contemporary Hospitality Management, 36(6), 1844–1867. https://doi.org/10.1108/IJCHM-12-2022-1523en
dc.referencesSaini, A., & Bhalla, R. (2022). Artificial intelligence and automation: Transforming the hospitality industry or threat to human touch. In V. Garg & R. Goel (Eds.), Handbook of research on innovative management using AI in Industry 5.0 (pp. 88–97). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-7998-8497-2.ch006en
dc.referencesSandhya, H., & Varghese, B. (2023). Big data and artificial intelligence: Creative tools for destination competitiveness. In Z. Fields (Ed.), Multidisciplinary approaches in AI, creativity, innovation, and green collaboration (pp. 155–166). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-6366-6.ch008en
dc.referencesSandhya, H., & Varghese, B. (2024). Smart tourism narratives: Maturity matrix and digital transformation. In T. Merlo (Ed.), AI and data analytics applications in organizational management (pp. 203–214). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1058-8.ch010en
dc.referencesSapir, L. (2024). Integration of artificial intelligence in hotel services: Trends and developments (The Israeli case). The Annals of the University of Oradea: Economic Sciences, 33(1), 177–183. https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2024/11/AUOES.July_.2024.20.pdfen
dc.referencesSaydam, M.B., Arici, H.E., & Koseoglu, M.A. (2022). How does the tourism and hospitality industry use artificial intelligence? A review of empirical studies and future research agenda. Journal of Hospitality Marketing & Management, 31(8), 908–936. https://doi.org/10.1080/19368623.2022.2118923en
dc.referencesShanmugam, K., Rana, M.E., & Kong, Z.Y. (2024). A comprehensive analysis of technological advancements and smart tourism strategies in Malaysia’s post-pandemic tourism industry. In 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) (pp. 909–916). IEEE. https://doi.org/10.1109/ICETSIS61505.2024.10459443en
dc.referencesSigala, M. (2018). New technologies in tourism: From multi-disciplinary to anti-disciplinary advances and trajectories. Tourism Management Perspectives, 25, 151–155. https://doi.org/10.1016/j.tmp.2017.12.003en
dc.referencesSilini, R. (2023). Taking off again, Japan Airlines. In P. Haghirian (Ed.), Overcoming crisis: Case studies of Asian multinational corporations (pp. 323–338). World Scientific. https://doi.org/10.1142/9789811259340_0022en
dc.referencesSnäll, A. (2023). How artificial intelligence (AI) can be utilized for the competitive advantage of an international luxury hotel? [Bachelor’s thesis, Haaga-Helia University of Applied Science]. THESEUS – Open Repository of the Universities of Applied Sciences. https://urn.fi/URN:NBN:fi:amk-2023060220913en
dc.referencesSolakis, K., Katsoni, V., Mahmoud, A.B., & Grigoriou, N. (2022). Factors affecting value co-creation through artificial intelligence in tourism: A general literature review. Journal of Tourism Futures, 10(1), 116–130. https://doi.org/10.1108/JTF-06-2021-0157en
dc.referencesStanojevic, S. (2020). Embracing sustainability in the drive from ordinary to outstanding: case examples from Emirates, Jumeirah and Rotana. Worldwide Hospitality and Tourism Themes, 12(5), 575–586. https://doi.org/10.1108/WHATT-06-2020-0050en
dc.referencesŠtilić, A., Nicić, M., & Puška, A. (2023). Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry. Turističko poslovanje, (31), 5–17. https://doi.org/10.5937/turpos0-43739en
dc.referencesStoimenov, V. (2023). Good practices in hotel branding: Sustainability trends of Intercontinental Hotel Group. Entrepreneurship, 11(1), 108–131. https://doi.org/10.37708/ep.swu.v11i1.9en
dc.referencesTan, L.H. (2023). Consumer reaction to the use of artificial intelligence chatbot on distribution of general insurance in Singapore [Doctoral dissertation, Singapore Management University]. Singapore Management University Libraries. https://ink.library.smu.edu.sg/etd_coll/489en
dc.referencesTouni, R. (2020). The application of robots, artificial intelligence, and service automation in the Egyptian tourism and hospitality sector (possibilities, obstacles, pros, and cons). Journal of Association of Arab Universities for Tourism and Hospitality, 19(3), 269–290. https://doi.org/10.21608/jaauth.2021.60834.1126en
dc.referencesTsiakalos, S. (2024). Enhancing organizational resilience in the air transport industry through the adoption of emerging technologies: A case study of the Middle Eastern Airlines [Master’s thesis, Kajaani University of Applied Sciences]. THESEUS – Open Repository of the Universities of Applied Sciences. https://urn.fi/URN:NBN:fi:amk-2024053118972en
dc.referencesTussyadiah, 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, Article 102883. https://doi.org/10.1016/j.annals.2020.102883en
dc.referencesUpadhyay, S., Upadhyay, N., & Gour, A. (2024). Voices in the storm: Analyzing MakeMyTrip’s crisis communication during COVID‐19 through a multivocality lens. Journal of Contingencies and Crisis Management, 32(1), Article e12521. https://doi.org/10.1111/1468-5973.12521en
dc.referencesVashishth, T.K., Sharma, V., Sharma, K.K., Kumar, B., Kumar, A., & Panwar, R. (2024). Artificial intelligence (AI) – powered chatbots: Providing instant support and personalized recommendations to guests 24/7. In P. Thaichon, P.K. Dutta,en
dc.referencesP.R. Chelliah & S. Gupta (Eds.), Technology and luxury hospitality: AI, blockchain and the metaverse (pp. 211–236). Routledge.en
dc.referencesVij, M., & Rizwan, S.A. (2022). Emerging technologies in tourism for a better experience: The case of Dubai. In A. Hassan (Ed.), Technology application in tourism in Asia: Innovations, theories and practices (pp. 97–107). Springer. https://doi.org/10.1007/978-981-16-5461-9_6en
dc.referencesVinod, B. (2024). Mastering the travel intermediaries: Origins and future of global distribution systems, travel management companies, and online travel agencies. Springer. https://doi.org/10.1007/978-3-031-51524-8en
dc.referencesWaheeb, R., & Wheib, K. (2024, May 30). Improving disaster management performance by using ethical artificial intelligence EAI to achieve sustainable development and support the global economy and trade. Preprints.org. https://doi.org/10.20944/preprints202405.1580.v1en
dc.referencesWang, Y.-C., & Uysal, M. (2024). Artificial intelligence-assisted mindfulness in tourism, hospitality, and events. International Journal of Contemporary Hospitality Management, 36(4), 1262–1278. https://doi.org/10.1108/IJCHM-11-2022-1444en
dc.referencesWeber, M., Knabl, O.B., Böttcher, T.P., Hein, A., & Krcmar, H. (2024). The AI transformation? Unpacking the impact of AI on incumbent business models. ECIS 2024 Proceedings, 11, Paper 2158. https://aisel.aisnet.org/ecis2024/track12_digtrans/track12_digtrans/11en
dc.referencesWebster, C., & Ivanov, S. (2023). Robots, artificial intelligence and service automation in tourism and quality of life. In M. Uysal & M.J. Sirgy (Eds.), Handbook of tourism and quality-of-life research II: Enhancing the lives of tourists, residents of host communities and service providers (pp. 533–544). Springer. https://doi.org/10.1007/978-3-031-31513-8_36en
dc.referencesWhig, P., Kasula, B.Y., Yathiraju, N., Jain, A., & Sharma, S. (2024). Transforming aviation: The role of artificial intelligence in air traffic management. In S. Khalid & N. Siddiqui (Eds.), New innovations in AI, aviation, and air traffic technology (pp. 60–75). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1954-3.ch004en
dc.referencesWirtz, J., Kunz, W., & Paluch, S. (2021, January 15). The service revolution, intelligent automation and service robots. The European Business Review (TEBR). https://www.europeanbusinessreview.com/the-service-revolution-intelligent-automation-and-service-robots/en
dc.referencesWolfe, R., & Hiniker, A. (2024). Expertise fog on the GPT store: Deceptive design patterns in user-facing generative AI. CEUR Workshop Proceedings, 3720, Paper 15. https://ceur-ws.org/Vol-3720/paper15.pdfen
dc.referencesWongyai, P.H., Ngo, T., Wu, H., Tsui, K., & Nguyen, T.H. (2024). Self-service technology in aviation: A systematic literature review. Journal of the Air Transport Research Society, 2, Article 100016. https://doi.org/10.1016/j.jatrs.2024.100016en
dc.referencesWorld Economic Forum. (2020). Shaping a multiconceptual world 2020 [Special report]. http://www3.weforum.org/docs/WEF_Shaping_a_Multiconceptual_World_2020.pdfen
dc.referencesWu, F., Sorokina, N., & Putra, E.D. (2023). Customers satisfaction on robots, artificial intelligence and service automation (RAISA) in the hotel industry: A comprehensive review. Open Journal of Business and Management, 11, 1227–1247. https://doi.org/10.4236/ojbm.2023.113069en
dc.referencesWu, X., Liao, H., & Ngai, E.W.T. (2024). Ranking hotel products by integrating online ratings from multiple platforms. Information & Management, 61(4), Article 103959. https://doi.org/10.1016/j.im.2024.103959en
dc.referencesXu, J., Shi, P.H., & Chen, X. (2024). Exploring digital innovation in smart tourism destinations: insights from 31 premier tourist cities in digital China. Tourism Review, 80(3), 681–709. https://doi.org/10.1108/TR-07-2023-0468en
dc.referencesYadav, N., Pratim Seal, P., Shukla, A., & Kaur, R. (2024). AI in the hospitality and tourism industries. In M. Talukder, S. Kumar & P. Tyagi (Eds.), Impact of AI and tech-driven solutions in hospitality and tourism (pp. 1–19). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6755-1.ch001en
dc.referencesYaghmour, S. (2024). Smart tourism technology and destination loyalty. APJTH Asia-Pacific Journal of Innovation in Hospitality & Tourism, 13(1), 1–23. https://fslmjournals.taylors.edu.my/wp-content/uploads/APJIHT/APJIHT-2024-13-1/APJIHT-131_Paper-1.pdfen
dc.referencesYassin, E.S.A.-G., Gharieb, A.E.A, Saad, H.E., & Qura, O.E. (2022). Robots, artificial intelligence, and service automation (RAISA) technologies in the Egyptian hotel sector: A current situation assessment. International Journal of Heritage, Tourism and Hospitality, 16(1), 51–60.en
dc.referencesYilmaz, E.C., & Atalik, Ö. (2023, December). The role of metaverse in airline marketing: investigating airline industry examples. In B. Aşci (Ed.), The 6th International Aviation Management Conference (Intavic’23) proceedings book (pp. 74–76). Türk Hava Kurumu Üniversitesi / University of Turkish Aeronautical Association.en
dc.referencesYoo, S.-C., Piscarac, D., & Truong, T.A. (2024). Urban tourism revitalization through smart city Tecoration using digital outdoor advertising: A case study of WAVE advertising in Seoul, South Korea. International Journal of Tourism Cities, 11(2), 197–217. https://doi.org/10.1108/IJTC-10-2023-0209en
dc.referencesYu, C.-E., & Ngan, H.F.B. (2019). The power of head tilts: Gender and cultural differences of perceived human vs human-like robot smile in service. Tourism Review, 74(3), 428–442. https://doi.org/10.1108/TR-07-2018-0097en
dc.referencesZarezadeh, Z.Z., Benckendorff, P., & Gretzel, U. (2023). Online tourist information search strategies. Tourism Management Perspectives, 48, Article 101140. https://doi.org/10.1016/j.tmp.2023.101140en
dc.referencesZhou, L., Buhalis, D., Fan, D.X., Ladkin, A., & Lian, X. (2024). Attracting digital nomads: Smart destination strategies, innovation and competitiveness. Journal of Destination Marketing & Management, 31, Article 100850. https://doi.org/10.1016/j.jdmm.2023.100850en
dc.contributor.authorEmailH, Sandhya - sandhya.h@christuniversity.in
dc.contributor.authorEmailVarghese, Bindi - bindi.varghese@christuniversity.in
dc.identifier.doi10.18778/0867-5856.2026.03
dc.relation.volume36


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