How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations
Abstract
:1. Introduction
2. An Actual Overview of AI in STDs and Tourism Marketing
3. AI as a Multipurpose Tool in STDs
Authors | Literature Citiations | Advantages of AI |
---|---|---|
Wolniak and Stecula | [78] | Improves governance of STDs. |
McKinsey & Company | [67,79] | Helps to segment and personalise marketing campaigns |
McKinsey & Company | [67,79] | Helps to create new products and services through innovation processes. |
Florido-Benítez | [1] | Enhanced tourist and resident engagement through the adoption of AI-driven chatbots and virtual assistants. |
Parvez and Cobanoglu | [2] | Offers an alternative form of communication, reduces costs, and boosts operational safety for organisations. |
Buhalis et al. | [4] | Enhances companies’ operational efficiency, competitiveness, and customers’ experiences. |
Bulchand-Gidumal et al. | [7] | AI technology improves customer relationship management and revenues. |
Zhang and Prebensen | [8] | AI helps create tourism marketing materials. |
Coca-Stefaniak; Maxin and Morrison; Carvalho and Ivanov | [10,11,12] | Enhances the future agenda of STDs. |
Dwivedi et al. | [13] | ChatGPT is an effective tool for delivering tailored suggestions to travellers in real time. |
Carvalho and Ivanov | [14] | Increases companies’ productivity and efficiency. |
Doğan and Niyet | [16] | AI systems can provide tailored suggestions for destinations, accommodations, activities, and dining options. |
Florido-Benítez | [49,50] | Cybersecurity supported by AI technology helps combat cyberattacks. |
Kim et al.; Li and Zhang; Ghesh et al. | [23,35,74] | Enhances tourists’ experiences and satisfaction in the tourism and hospitality industries. |
Alahi et al. | [24] | The potential of AI to help analyse a vast amount of data to develop new marketing strategies and future trends in STDs. |
Future Data Stats | [28] | AI-driven solutions improve public services, traffic congestion, energy consumption, waste management, and residents’ quality of life. |
Ksheri et al.; Christensen et al.; Dogru et al.; McKinsey & Company | [31,32,54,67,79] | Helps increase sales in organisations and develop marketing plans in an efficient way. |
Jevinger et al. | [80] | Provides new transportation solutions to improve transportation systems, making them more efficient, sustainable, and accessible. |
Solakis et al. | [44] | Facilitates dialogue in different languages with customers. |
Jamshed et al. | [46] | AI technology improves customer services, trip recommendations, environmental sustainability, reduces carbon emissions, and promotes ecotourism to sustain tourism. |
Haleem et al.; WEF | [52,56] | AI enhances the brand images of companies and cities, and helps to increase tourism demand. |
Authors | Literature Citiations | Disadvantages of AI |
---|---|---|
Wolniak and Stecula | [78] | The complexity of integrating AI into organisational systems. |
Wolniak and Stecula | [78] | Ensures the protection of consumers’ sensitive information and data privacy. |
Wolniak and Stecula; McKinsey & Company | [78,79] | A high initial economic investment is required for AI infrastructure, software development, and its ongoing maintenance. |
Yeh; Carvalho and Ivanov | [14,76] | AI is replacing humans and consequently the employees lose jobs. |
Florido-Benítez | [49,50,81] | The implementation of new technologies by organisations increases the number of cyberattacks and cyberthreats. |
Tussyadiah | [82] | The lack of human contact can induce loneliness and anxiety. |
Fabregue | [83] | Citizens may not fully understand the benefits of AI technology in STDs. |
Smrutirekha et al. | [62] | Bad management of AI technology in companies affects its reputation. |
Chatterjee et al. | [63] | AI is in an experimental state, and thus it sometimes provides information bias. |
Yadav et al. | [64] | The use of AI in picking behavioural patterns can sometimes lead to the unwarranted infringement and manipulation of the clients. |
Paschen et al. | [66] | Companies and researchers do not have an adequate understanding of how humans and AI technology interact in value co-creation. |
4. Discussion
5. Conclusions
5.1. Theoretical Contributions and Future Scope
5.2. Implications for Practice
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Florido-Benítez, L. Constructing Spanish smart destinations: A new guide for the tourism industry. Int. J. Tour. Cities 2024, 10, 261–279. [Google Scholar] [CrossRef]
- Parvez, O.M.; Cobanoglu, C. Opportunities and challenges of utilizing service robots in tourism industry: A tool for recovery from COVID-19 pandemic. J. Smart Tour. 2021, 1, 17–20. [Google Scholar] [CrossRef]
- Duong, C.D.; Nguyen, T.H.; Ngo, T.V.N.; Pham, T.T.P.; Vu, A.T.; Dang, N.S. Using generative artificial intelligence (ChatGPT) for travel purposes: Parasocial interaction and tourists’ continuance intention. Tour. Rev. 2024, in press. [CrossRef]
- Buhalis, D.; Efthymiou, L.; Uzunboylu, N.; Thrassou, A. Charting the progress of technology adoption in tourism and hospitality in the era of industry 4.0. EuroMed J. Bus. 2024, 19, 1–20. [Google Scholar] [CrossRef]
- Lv, H.; Shi, S.; Gursoy, D. A look back and a leap forward: A review and synthesis of big data and artificial intelligence literature in hospitality and tourism. J. Hosp. Mark. Manag. 2022, 31, 145–175. [Google Scholar] [CrossRef]
- Inkinen, T.; Heikkonen, M.; Makkonen, T.; Rautiainen, S. Multilayered spatial categories in tourism marketing and branding. J. Destin. Mark. Manag. 2024, 31, 100867. [Google Scholar] [CrossRef]
- Bulchand-Gidumal, J.; William Secin, E.; O’Connor, P.; Buhalis, D. Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges. Curr. Issues Tour. 2024, 27, 2345–2362. [Google Scholar] [CrossRef]
- Zhang, Y.; Prebensen, N.K. Co-creating with ChatGPT for tourism marketing materials. Ann. Tour. Res. Empir. Insights 2024, 5, 100124. [Google Scholar] [CrossRef]
- Florido-Benítez, L. Metaverse cannot be an extra marketing immersive tool to increase sales in tourism cities. Int. J. Tour. Cities 2024, 10, 974–994. [Google Scholar] [CrossRef]
- Coca-Stefaniak, J.A. Marketing smart tourism cities a strategic dilemma. Int. J. Tour. Cities 2019, 5, 513–518. [Google Scholar] [CrossRef]
- Maxim, C.; Morrison, A.M.; Day, J.; Coca-Stefaniak, J.A. Handbook on Sustainable Urban Tourism; Research Handbooks in Tourism Series; Edward Elgar Publishing: London, UK, 2022. [Google Scholar]
- Sánchez-Amboage, E.; Crespo-Pereira, V.; Membiela-Pollán, M.; Faustino, J.P. Tourism marketing in the metaverse: A systematic literature review, building blocks, and future research directions. PLoS ONE 2024, 19, e0300599. [Google Scholar] [CrossRef] [PubMed]
- Dwivedi, Y.K.; Pandey, N.; Currie, W.; Micu, A. Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: Practices, challenges, and research agenda. Int. J. Contemp. Hosp. Manag. 2024, 36, 1–12. [Google Scholar] [CrossRef]
- Carvalho, I.; Ivanov, S. ChatGPT for tourism: Applications, benefits, and risks. Tour. Rev. 2024, 79, 290–303. [Google Scholar] [CrossRef]
- Florido-Benítez, L. The impact of tourism promotion in tourist destinations: A bibliometric study. Int. J. Tour. Cities 2024, 8, 844–882. [Google Scholar] [CrossRef]
- Doğan, S.; Niyet, İ.Z. Artificial Intelligence (AI) in Tourism. In Future Tourism Trends Volume 2 (Building the Future of Tourism); Tanrisever, C., Pamukçu, H., Sharma, A., Eds.; Emerald Publishing Limited: Leeds, UK, 2024; pp. 3–21. [Google Scholar] [CrossRef]
- Vitezić, V.; Perić, M. The role of digital skills in the acceptance of artificial intelligence. J. Bus. Ind. Mark. 2024, 39, 1546–1566. [Google Scholar] [CrossRef]
- Morrison, A.M.; Maxim, C. World Tourism Cities: A Systematic Approach to Urban Tourism; Routledge: London, UK, 2021. [Google Scholar]
- Xu, J.; Shi, P.H.; Chen, X. Exploring digital innovation in smart tourism destinations: Insights from 31 premier tourist cities in digital China. Tour. Rev. 2024, in press. [CrossRef]
- Maxim, C. Challenges faced by world tourism cities—London’s perspective. Curr. Issues Tour. 2017, 22, 1965–1977. [Google Scholar] [CrossRef]
- Morrison, A.M.; Coca-Stefaniak, J.A. Routledge Handbook of Tourism Cities; Routledge: London, UK, 2022. [Google Scholar]
- Manzoor, S.R.; Ullah, R.; Khattak, A.; Ullah, M.; Han, H. Exploring tourist perceptions of artificial intelligence devices in the hotel industry: Impact of industry 4.0. J. Travel Tour. Mark. 2024, 41, 272–291. [Google Scholar] [CrossRef]
- Kim, J.H.; Kim, J.; Kim, S.; Hailu, T.B. Effects of AI ChatGPT on travellers’ travel decision-making. Tour. Rev. 2023, 79, 1038–1057. [Google Scholar] [CrossRef]
- Alahi, M.E.E.; Sukkuea, A.; Tina, F.W.; Nag, A.; Kurdthongmee, W.; Suwannarat, K.; Mukhopadhyay, S.C. Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors 2023, 23, 5206. [Google Scholar] [CrossRef]
- Cugurullo, F.; Caprotti, F.; Cook, M.; Karvonen, A.; MᶜGuirk, P.; Marvin, S. The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence. Urban Stud. 2024, 61, 1168–1182. [Google Scholar] [CrossRef]
- Kim, H.; So, K.K.F.; Shin, S.; Li, J. AI in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. J. Hosp. Tour. Res. 2024, in press. [CrossRef]
- Kong, H.; Wang, K.; Qiu, X.; Cheung, C.; Bu, N. 30 years of artificial intelligence (AI) research relating to the hospitality and tourism industry. Int. J. Contemp. Hosp. Manag. 2023, 35, 2157–2177. [Google Scholar] [CrossRef]
- Future Data Stats. Artificial Intelligence in Smart Cities Market Size. 2024. Available online: https://www.futuredatastats.com/artificial-intelligence-in-smart-cities-market?srsltid=AfmBOopKpLdg4QvO4hiEgn_hui9KCGDLGXrUWZaI-uYzwWdsiwSf8fCQ (accessed on 10 October 2024).
- Kshetri, N. Generative artificial intelligence and the economics of effective prompting. Computer 2023, 56, 112–118. [Google Scholar] [CrossRef]
- Anisin, A. Generative AI For Content Creation: How Marketers Can Use It. 2023. Available online: https://www.forbes.com/councils/theyec/2023/08/17/generative-ai-for-content-creation-how-marketers-can-use-it/ (accessed on 11 October 2024).
- Kshetri, N.; Dwivedi, Y.K.; Davenport, T.H.; Panteli, N. Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. Int. J. Inf. Manag. 2023, 75, 102716. [Google Scholar] [CrossRef]
- Christensen, J.; Hansen, J.M.; Wilson, P. Understanding the role and impact of Generative Artificial Intelligence (AI) hallucination within consumers’ tourism decision-making processes. Curr. Issues Tour. 2023, 1, 1–16. [Google Scholar] [CrossRef]
- Aliyah, L.; Lukita, C.; Pangilinan, G.; Chakim, M.; Saputra, D. Examining the impact of artificial intelligence and internet of things on smart tourism destinations: A comprehensive study. Aptisi Trans. Technopreneursh. (ATT) 2023, 5, 135–145. [Google Scholar] [CrossRef]
- Gajdošík, T.; Orelová, A. Smart technologies for smart tourism development. In Artificial Intelligence and Bioinspired Computational Methods: Proceedings of the 9th Computer Science On-line Conference 2020; Springer International Publishing: Berlin/Heidelberg, Germany, 2020; Volume 2, pp. 333–343. [Google Scholar] [CrossRef]
- Li, Q.; Zhang, Y. Design and implementation of smart tourism service platform from the perspective of artificial intelligence. Wirel. Commun. Mob. Comput. 2022, 2022, 3501003. [Google Scholar] [CrossRef]
- Price Waterhouse Coopers. PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution. What’s the Real Value of AI for Your Business and How Can You Capitalise? 2024. Available online: https://www.pwc.com/gx/en/issues/data-and-analytics/publications/artificial-intelligence-study.html (accessed on 26 June 2024).
- Vogel, D.; Lisboa Sohn, A.P.; Santucci de Oliveira, B. Analysis of Scientific Production on Competencies Models in Culinary Arts Education on EBSCO, Web of Science and Scopus Databases. J. Culin. Sci. Technol. 2022, 22, 533–546. [Google Scholar] [CrossRef]
- Pradini, G.; Hendratono, T.; Azahari, A.; Rahmawati, E.; Herawan, T. Research trends in tourism participation: A bibliometric analysis using the scopus database. In Computational Science and Its Applications—ICCSA 2023 Workshops; Springer Nature: Cham, Switzerland, 2023; pp. 437–454. [Google Scholar] [CrossRef]
- Grundner, L.; Neuhofer, B. The bright and dark sides of artificial intelligence: A futures perspective on tourist destination experiences. J. Destin. Mark. Manag. 2021, 19, 100511. [Google Scholar] [CrossRef]
- Song, H.; Zhang, H. Tourism demand modelling and forecasting: A Horizon 2050 paper. Tour. Rev. 2024, in press. [CrossRef]
- Florido-Benítez, L. The accessibility of beaches for blind people and their guide dogs: Accessible tourism and inclusion in Spain. Tour. Rev. 2024, 79, 719–738. [Google Scholar] [CrossRef]
- Florido-Benítez, L. Increasing Security Levels in the Tourism and Air-Transport Industries Could Enhance African People’s Quality of Life and Tourism Demand. Tour. Hosp. 2024, 5, 713–735. [Google Scholar] [CrossRef]
- Inversini, A. Human centered digital transformation in travel: A horizon 2050 paper. Tour. Rev. 2024, in press. [CrossRef]
- Cerdá-Mansilla, E.; Tussyadiah, I.; Campo, S.; Rubio, N. Smart destinations: A holistic view from researchers and managers to tourists and locals. Tour. Manag. Perspect. 2024, 51, 101223. [Google Scholar] [CrossRef]
- Solakis, K.; Katsoni, V.; Mahmoud, A.B.; Grigoriou, N. Factors affecting value co-creation through artificial intelligence in tourism: A general literature review. J. Tour. Futur. 2024, 10, 116–130. [Google Scholar] [CrossRef]
- Jamshed, K.; Shah, S.H.A.; Jebli, F.; Al-Ghazali, B.M. Smart Destinations and Artificial Intelligence for Rethinking and Rebuilding Tourism: Case from China and Hong Kong. In The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations (New Perspectives in Tourism and Hospitality Management); Alnoor, A., Bayram, G.E., XinYing, C., Shah, S.H.A., Eds.; Emerald Publishing Limited: Leeds, UK, 2024; pp. 115–128. [Google Scholar] [CrossRef]
- Alyasiri, O.M.; Selvaraj, K.; Younis, H.A.; Sahib, T.M.; Almasoodi, M.F.; Hayder, I.M. A Survey on the Potential of Artificial Intelligence Tools in Tourism Information Services. Babylon. J. Artif. Intell. 2024, 2024, 1–8. [Google Scholar] [CrossRef]
- Nannelli, M.; Capone, F.; Lazzeretti, L. Artificial intelligence in hospitality and tourism. State of the art and future research avenues. Eur. Plan. Stud. 2023, 31, 1325–1344. [Google Scholar] [CrossRef]
- Florido-Benítez, L. The Cybersecurity Applied by Online Travel Agencies and Hotels to Protect Users’ Private Data in Smart Cities. Smart Cities 2024, 7, 475–495. [Google Scholar] [CrossRef]
- Florido-Benítez, L. Identifying and classifying cyberattacks on airports. Cyber Secur. 2024, 79, 63–79. [Google Scholar] [CrossRef]
- Singh, J.P. Quantifying Healthcare Consumers’ Perspectives: An Empirical Study of the Drivers and Barriers to Adopting Generative AI in Personalized Healthcare. Res. Rev. Sci. Technol. 2022, 2, 171–193. Available online: https://researchberg.com/index.php/rrst/article/view/181 (accessed on 12 October 2024).
- Haleem, A.; Javaid, M.; Qadri, M.A.; Singh, R.P.; Suman, R. Artificial intelligence (AI) applications for marketing: A literature-based study. Int. J. Intell. Netw. 2022, 3, 119–132. [Google Scholar] [CrossRef]
- Gursoy, D.; Cai, R. Artificial intelligence: An overview of research trends and future directions. Int. J. Contemp. Hosp. Manag. 2024, in press. [CrossRef]
- Dogru, T.; Line, N.; Mody, M.; Hanks, L.; Abbott, J.; Acikgoz, F.; Assaf, A.; Bakir, S.; Berbekova, A.; Bilgihan, A.; et al. Generative Artificial Intelligence in the Hospitality and Tourism Industry: Developing a Framework for Future Research. J. Hosp. Tour. Res. 2023, in press. [CrossRef]
- Nair, K.; Gupta, R. Application of AI technology in modern digital marketing environment. World J. Entrep. Manag. Sustain. Dev. 2021, 17, 318–328. [Google Scholar] [CrossRef]
- WEF. These 5 Cities Are Making Innovative Use of Generative AI. 2024. Available online: https://www.weforum.org/agenda/2024/07/generative-ai-smart-cities/ (accessed on 13 June 2024).
- Boukherouk, M.; Ed-Dali, R.; Dbibirha, Y. Sharing tourism and its impact on hospitality management in Essaouira: Analysis of the evolution of booking. com and Airbnb. In Cultural and Tourism Innovation in the Digital Era: Sixth International IACuDiT Conference, Athens 2019; Springer International Publishing: Berlin/Heidelberg, Germany, 2020; pp. 145–159. [Google Scholar]
- Zulaikha, S.; Mohamed, H.; Kurniawati, M.; Rusgianto, S.; Rusmita, S.A. Customer predictive analytics using artificial intelligence. Singap. Econ. Rev. 2020, 1, 1–12. [Google Scholar] [CrossRef]
- Buhalis, D.; Amaranggana, A. Smart Tourism Destinations. In Information and Communication Technologies in Tourism 2014; Xiang, Z., Tussyadiah, I., Eds.; Springer: Cham, Switzerland, 2013. [Google Scholar] [CrossRef]
- Um, T.; Chung, N. Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea. Asia Pac. J. Tour. Res. 2021, 26, 396–414. [Google Scholar] [CrossRef]
- Hayes, D.K.; Hayes, J.D.; Hayes, P.A. Revenue Management for the Hospitality Industry; John Wiley & Sons: Hoboken, NJ, USA, 2021. [Google Scholar]
- Smrutirekha, S.; Karki, A. Trends of Artificial Intelligence in Revenue Management of Hotels. In Smart Trends in Computing and Communications; Zhang, Y.D., Senjyu, T., So-In, C., Joshi, A., Eds.; Lecture Notes in Networks and Systems; Springer: Singapore, 2023; Volume 396, pp. 299–309. [Google Scholar] [CrossRef]
- Chatterjee, S.; Chaudhuri, R.; Vrontis, D.; Kadić-Maglajlić, S. Adoption of AI integrated partner relationship management (AI-PRM) in B2B sales channels: Exploratory study. Ind. Mark. Manag. 2023, 109, 164–173. [Google Scholar] [CrossRef]
- Yadav, J.K.; Verma, D.C.; Jangirala, S.; Srivastava, S.K. An IAD type framework for Blockchain enabled smart tourism ecosystem. J. High Technol. Manag. Res. 2021, 32, 100404. [Google Scholar] [CrossRef]
- Ressi, D.; Romanello, R.; Piazza, C.; Rossi, S. AI-enhanced blockchain technology: A review of advancements and opportunities. J. Netw. Comput. Appl. 2024, 225, 103858. [Google Scholar] [CrossRef]
- Paschen, J.; Paschen, U.; Pala, E.; Kietzmann, J. Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors, and resources. Australas. Mark. J. 2021, 29, 243–251. [Google Scholar] [CrossRef]
- McKinsey & Company. AI-Powered Marketing and Sales Reach New Heights with Generative AI. 2023. Available online: https://digitalrosh.com/wp-content/uploads/2023/05/ai-powered-marketing-and-sales-reach-new-heights-with-generative-ai.pdf (accessed on 23 August 2024).
- Rana, J.; Jain, R.; Nehra, V. Utility and acceptability of AI-enabled Chatbots on the online customer journey. Int. J. Comput. Digit. Syst. 2024, 15, 323–335. [Google Scholar] [CrossRef] [PubMed]
- Araújo, C.; Gonçalves, R.; Costa, R.L.D.; Dias, Á.; Pereira, L. Artificial intelligence in the digital customer journey. Int. J. Electron. Cust. Relatsh. Manag. 2022, 13, 248–271. [Google Scholar] [CrossRef]
- Kasem, M.S.; Hamada, M.; Taj-Eddin, I. Customer profiling, segmentation, and sales prediction using AI in direct marketing. Neural Comput. Appl. 2024, 36, 4995–5005. [Google Scholar] [CrossRef]
- Chowdhury, S.; Dey, P.; Joel-Edgar, S.; Bhattacharya, S.; Rodriguez-Espindola, O.; Abadie, A.; Truong, L. Unlocking the value of artificial intelligence in human resource management through AI capability framework. Hum. Resour. Manag. Rev. 2023, 33, 100899. [Google Scholar] [CrossRef]
- Kalia, P.; Mishra, G. Role of Artificial Intelligence in Re-inventing Human Resource Management. In The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B (Emerald Studies in Finance, Insurance, and Risk Management); Tyagi, P., Chilamkurti, N., Grima, S., Sood, K., Balusamy, B., Eds.; Emerald Publishing Limited: Leeds, UK, 2023; pp. 221–234. [Google Scholar] [CrossRef]
- Miels, E. 13 Ways AI Will Improve the Customer Experience in 2024. 2024. Available online: https://www.zendesk.co.uk/blog/ai-customer-experience/ (accessed on 27 September 2024).
- Ghesh, N.; Alexander, M.; Davis, A. The artificial intelligence-enabled customer experience in tourism: A systematic literature review. Tour. Rev. 2024, 79, 1017–1037. [Google Scholar] [CrossRef]
- Ali, F.; Yasar, B.; Khan, U.; Ali, L.; Ryu, K. Can the compulsive use of e-learning lead to lower academic performance? The role of technology fatigue and technostress in hospitality and tourism students. J. Hosp. Leis. Sport Tour. Educ. 2024, 34, 100478. [Google Scholar] [CrossRef]
- Yeh, A.G. From urban modelling, GIS, the digital, intelligent, and the smart city to the digital twin city with AI. Environ. Plan. B: Urban Anal. City Sci. 2024, 51, 1085–1088. [Google Scholar] [CrossRef]
- Hamarat, H.; Sahin, H.; Koç Apuhan, A.; İnan, R. The dark side of artificial intelligence: Threats to tourism workers. Worldw. Hosp. Tour. Themes 2024, 16, 127–137. [Google Scholar] [CrossRef]
- Wolniak, R.; Stecuła, K. Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review. Smart Cities 2024, 7, 1346–1389. [Google Scholar] [CrossRef]
- McKinsey & Company. How Generative AI Can Boost Consumer Marketing. 2023. Available online: https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/how-generative-ai-can-boost-consumer-marketing (accessed on 29 September 2024).
- Jevinger, Å.; Zhao, C.; Persson, J.A.; Davidsson, P. Artificial intelligence for improving public transport: A mapping study. Public Transp. 2024, 16, 99–158. [Google Scholar] [CrossRef]
- Florido-Benítez, L. La seguridad en los medios de pagos móviles favorece la venta cruzada y la comunicación boca-oído en el sector aeroportuario a través del mobile marketing mobile payment. Gran Tour 2016, 13, 26–47. Available online: https://www.eutm.es/journal/index.php/gt/article/view/79/77 (accessed on 13 October 2024).
- Tussyadiah, I. A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Ann. Tour. Res. 2020, 81, 102883. [Google Scholar] [CrossRef]
- Fabregue, B. Original Research Article Artificial intelligence governance in smart cities: A European regulatory perspective. J. Auton. Intell. 2024, 7. [Google Scholar] [CrossRef]
- EU Artificial Intelligence Act. High-Level Summary of the AI Act. 2024. Available online: https://artificialintelligenceact.eu/high-level-summary/ (accessed on 7 August 2024).
- Shahriar, S.; Allana, S.; Hazratifard, S.M.; Dara, R. A survey of privacy risks and mitigation strategies in the Artificial Intelligence life cycle. IEEE Access 2023, 11, 61829–61854. [Google Scholar] [CrossRef]
- Chen, Z.; Gan, W.; Wu, J.; Lin, H.; Chen, C.M. Metaverse for smart cities: A survey. Internet Things Cyber-Phys. Syst. 2024, 4, 203–216. [Google Scholar] [CrossRef]
- Sharifi, A.; Beris, A.T.; Javidi, A.S.; Nouri, M.S.; Lonbar, A.G.; Ahmadi, M. Application of artificial intelligence in digital twin models for stormwater infrastructure systems in smart cities. Adv. Eng. Inform. 2024, 61, 102485. [Google Scholar] [CrossRef]
- Allam, Z.; Dhunny, Z.A. On big data, artificial intelligence and smart cities. Cities 2019, 89, 80–91. [Google Scholar] [CrossRef]
- Wang, L. Heterogeneous data and big data analytics. Autom. Control. Inf. Sci. 2017, 3, 8–15. [Google Scholar] [CrossRef]
- Marshoodulla, S.Z.; Saha, G. An approach towards removal of data heterogeneity in SDN-based IoT framework. Internet Things 2023, 22, 100763. [Google Scholar] [CrossRef]
- Aldoseri, A.; Al-Khalifa, K.N.; Hamouda, A.M. Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges. Appl. Sci. 2023, 13, 7082. [Google Scholar] [CrossRef]
- Chauncey, S.A.; McKenna, H.P. Creativity and Innovation in Civic Spaces Supported by Cognitive Flexibility When Learning with AI Chatbots in Smart Cities. Urban Sci. 2024, 8, 16. [Google Scholar] [CrossRef]
- Kumar, S.; Verma, A.K.; Mirza, A. Artificial Intelligence-Driven Governance Systems: Smart Cities and Smart Governance. In Digital Transformation, Artificial Intelligence and Society. Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications; Springer: Singapore, 2024; pp. 73–90. [Google Scholar] [CrossRef]
- Willians, K. Cyber-Physical Attacks Fueled by AI Are a Growing Threat, Experts Say. 2024. Available online: https://www.cnbc.com/2024/03/03/cyber-physical-attacks-fueled-by-ai-are-a-growing-threat-experts-say.html (accessed on 7 May 2024).
- Florido-Benítez, L. The types of hackers and cyberattacks in the aviation industry. J. Transp. Secur. 2024, 17, 13. [Google Scholar] [CrossRef]
- Han, H.; Kim, S.; Hailu, T.B.; Al-Ansi, A.; Loureiro, S.M.C.; Kim, J.J. Determinants of approach behaviour for ChatGPT and their configurational influence in the hospitality and tourism sector: A cumulative prospect theory. Int. J. Contemp. Hosp. Manag. 2024, in press. [CrossRef]
- Saddi, V.R.; Gopal, S.K.; Mohammed, A.S.; Dhanasekaran, S.; Naruka, M.S. Examine the role of generative AI in enhancing threat intelligence and cyber security measures. In Proceedings of the 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 15–16 March 2024; IEEE: Piscataway, NJ, USA, 2024; pp. 537–542. [Google Scholar] [CrossRef]
- Vapiwala, F.; Pandita, D. Analyzing the Application of Artificial Intelligence for E-Commerce Customer Engagement. In Proceedings of the 2022 International Conference on Data Analytics for Business and Industry (ICDABI), Sakhir, Bahrain, 25–26 October 2022; IEEE: Piscataway, NJ, USA, 2022; pp. 423–427. [Google Scholar] [CrossRef]
- Russo Spena, T.; D’Auria, A.; Bifulco, F. Customer Insights and Consumer Profiling. In Digital Transformation in the Cultural Heritage Sector; Russo Spena, T., Bifulco, F., Eds.; Contributions to Management Science; Springer: Cham, Switzerland, 2021; pp. 95–117. [Google Scholar] [CrossRef]
- Alhitmi, H.K.; Mardiah, A.; Al-Sulaiti, K.I.; Abbas, J. Data security and privacy concerns of AI-driven marketing in the context of economics and business field: An exploration into possible solutions. Cogent Bus. Manag. 2024, 11, 2393743. [Google Scholar] [CrossRef]
- Amiri, Z.; Heidari, A.; Navimipour, N.J. Comprehensive Survey of Artificial Intelligence Techniques and Strategies for Climate Change Mitigation. Energy 2024, 308, 132827. [Google Scholar] [CrossRef]
- European Commission. Threats and Opportunities from Automation and Robotisation. 2018. Available online: https://knowledge4policy.ec.europa.eu/foresight/topic/changing-nature-work/new-technologies-automation-work-developments_en (accessed on 7 August 2024).
- UN. World Cities Report 2022. Envisaging the Future of Cities. 2022. Available online: https://unhabitat.org/wcr/ (accessed on 7 September 2024).
- Forbes. Pioneering the Future of Smart Cities with AI and Generative AI. 2024. Available online: https://www.forbes.com/sites/delltechnologies/2024/04/11/pioneering-the-future-of-smart-cities-with-ai-and-generative-ai/ (accessed on 24 May 2024).
- Tuo, Y.; Ning, L.; Zhu, A. How artificial intelligence will change the future of tourism industry: The practice in China. In Information and Communication Technologies in Tourism 2021: Proceedings of the ENTER 2021 eTourism Conference, January 19–22.; Springer International Publishing: Cham, Switzerland, 2021; pp. 83–94. [Google Scholar] [CrossRef]
- Corrêa, S.C.H.; Gosling, M.D.S. Travelers’ Perception of Smart Tourism Experiences in Smart Tourism Destinations. Tour. Plan. Dev. 2020, 18, 415–434. [Google Scholar] [CrossRef]
- Voda, A.I.; Radu, L.D. Artificial intelligence and the future of smart cities. BRAIN. Broad Res. Artif. Intell. Neurosci. 2018, 9, 110–127. Available online: https://lumenpublishing.com/journals/index.php/brain/article/view/2038 (accessed on 13 October 2024).
- Okumus, F. Leadership research in hospitality and tourism. Int. J. Contemp. Hosp. Manag. 2020, 32, 2029–2034. [Google Scholar]
- Saputra, F.E.; Buhalis, D.; Augustyn, M.M.; Marangos, S. Anthropomorphism-based artificial intelligence (AI) robots typology in hospitality and tourism. J. Hosp. Tour. Technol. 2024, in press. [CrossRef]
- Venkateswaran, P.S.; Dominic, M.L.; Agarwal, S.; Oberai, H.; Anand, I.; Rajest, S.S. The role of artificial intelligence (AI) in enhancing marketing and customer loyalty. In Data-Driven Intelligent Business Sustainability; IGI Global: Hershey, PA, USA, 2024; pp. 32–47. [Google Scholar]
- Barshay, J. Proof Points: Teens Are Looking to AI for Information and Answers, Two Surveys Show. 2024. Available online: https://hechingerreport.org/proof-points-teens-ai-surveys/ (accessed on 24 July 2024).
- Hosteltur. Encuesta: Qué Opinan los Españoles Sobre el Turismo Ahora. 2024. Available online: https://www.hosteltur.com/165030_encuesta-que-opinan-los-espanoles-sobre-el-turismo-ahora.html (accessed on 24 August 2024).
- Richardot, A. Regaining Control: Venice Takes Smart Measures to Manage Mass Tourism. 2024. Available online: https://www.goodtourismblog.com/2023/05/venice-manage-mass-tourism/ (accessed on 11 September 2024).
- Liberatore, G.; Biagioni, P.; Ciappei, C.; Francini, C. Dealing with uncertainty, from overtourism to overcapacity: A decision support model for art cities: The case of UNESCO WHCC of Florence. Curr. Issues Tour. 2022, 26, 1067–1081. [Google Scholar] [CrossRef]
- Florido-Benítez, L. Airport Marketing Strategies: Aviation and Tourism Perspectives; Emerald Limited: London, UK, 2024. [Google Scholar]
- Cavalcante, W.Q.d.F.; Coelho, A.; Bairrada, C.M. Sustainability and Tourism Marketing: A Bibliometric Analysis of Publications between 1997 and 2020 Using VOSviewer Software. Sustainability 2021, 13, 4987. [Google Scholar] [CrossRef]
- Huang, M.H.; Rust, R.T. A strategic framework for artificial intelligence in marketing. J. Acad. Mark. Sci. 2021, 49, 30–50. [Google Scholar] [CrossRef]
- International Institute for Management Development. Smart City Index 2024. 2024. Available online: https://www.coit.es/sites/default/files/imd_-smartcityindex-2024-full-report.pdf (accessed on 14 September 2024).
- Semwal, R.; Tripathi, N.; Rana, A.; Dafouti, B.S.; Bairwa, M.K.; Mathur, V. AI-Powered Personalization and Emotional Intelligence Integration for Enhanced Service Marketing in Transformative Tourism Experiences. In Proceedings of the 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), Gautam Buddha Nagar, India, 9–11 May 2024; IEEE: Piscataway, NJ, USA, 2024; pp. 1851–1856. [Google Scholar] [CrossRef]
- Ku, E.C.; Chen, C.D. Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. Int. J. Inf. Manag. 2024, 76, 102757. [Google Scholar] [CrossRef]
- Zuiderwijk, A.; Chen, Y.C.; Salem, F. Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Gov. Inf. Q. 2021, 38, 101577. [Google Scholar] [CrossRef]
- Nikitas, A.; Michalakopoulou, K.; Njoya, E.T.; Karampatzakis, D. Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era. Sustainability 2020, 12, 2789. [Google Scholar] [CrossRef]
- Bokhari, S.A.A.; Myeong, S. Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective. Sustainability 2020, 14, 620. [Google Scholar] [CrossRef]
- Ortega-Fernández, A.; Martín-Rojas, R.; García-Morales, V.J. Artificial intelligence in the urban environment: Smart cities as models for developing innovation and sustainability. Sustainability 2020, 12, 7860. [Google Scholar] [CrossRef]
- Steimers, A.; Schneider, M. Sources of Risk of AI Systems. Int. J. Environ. Res. Public Health 2022, 19, 3641. [Google Scholar] [CrossRef]
- Whittaker, Z. The Biggest Data Breaches in 2024: 1 Billion Stolen Records and Rising. 2024. Available online: https://techcrunch.com/2024/10/14/2024-in-data-breaches-1-billion-stolen-records-and-rising/ (accessed on 14 October 2024).
- Gargano, F. Data Breaches, AI Merits: Top Tech News June 2024. 2024. Available online: https://www.americanbanker.com/list/data-breaches-ai-merits-top-tech-news-june-2024 (accessed on 16 October 2024).
- Kaur, R.; Gabrijelčič, D.; Klobučar, T. Artificial intelligence for cybersecurity: Literature review and future research directions. Inf. Fusion 2023, 97, 101804. [Google Scholar] [CrossRef]
- Couto de Azevedo de Oliveira, R.; Patterson, M. Performative place branding and Brazilian smart cities: The strategic character of smart city positioning. J. Place Manag. Dev. 2024, in press. [CrossRef]
- Wamba-Taguimdje, S.-L.; Fosso Wamba, S.; Kala Kamdjoug, J.R.; Tchatchouang Wanko, C.E. Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Bus. Process. Manag. J. 2020, 26, 1893–1924. [Google Scholar] [CrossRef]
- Nieves-Pavón, S.; López-Mosquera, N.; Jiménez-Naranjo, H. The factors influencing STD through SOR theory. J. Retail. Consum. Serv. 2023, 75, 103533. [Google Scholar] [CrossRef]
- Clark, E. The Ethical Dilemma of AI In Marketing: A Slippery Slope. 2024. Available online: https://www.forbes.com/sites/elijahclark/2024/03/14/the-ethical-dilemma-of-ai-in-marketing-a-slippery-slope/?fbclid=IwY2xjawF5sJxleHRuA2FlbQIxMQABHU__wBG7duor7hR4kWmXX2GL2fOsg-83F8JnY-pKVtG7x45mmInCdzPKUw_aem_Qyh1KOA7M-aDJGX-9LCHRQ (accessed on 20 October 2024).
- Wu, C.W.; Monfort, A. Role of artificial intelligence in marketing strategies and performance. Psychol. Mark. 2023, 40, 484–496. [Google Scholar] [CrossRef]
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Florido-Benítez, L.; del Alcázar Martínez, B. How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations. Electronics 2024, 13, 4151. https://doi.org/10.3390/electronics13214151
Florido-Benítez L, del Alcázar Martínez B. How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations. Electronics. 2024; 13(21):4151. https://doi.org/10.3390/electronics13214151
Chicago/Turabian StyleFlorido-Benítez, Lázaro, and Benjamín del Alcázar Martínez. 2024. "How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations" Electronics 13, no. 21: 4151. https://doi.org/10.3390/electronics13214151
APA StyleFlorido-Benítez, L., & del Alcázar Martínez, B. (2024). How Artificial Intelligence (AI) Is Powering New Tourism Marketing and the Future Agenda for Smart Tourist Destinations. Electronics, 13(21), 4151. https://doi.org/10.3390/electronics13214151