The Future of Spa Cities: Integration of Traditional and Artificial Intelligence-based Tools for Sustainable Tourism on the International Level and in Hungarian in the Light of a Literature Review

Authors

  • Judit Katalin Fejes University of Pannonia, Zalaegerszeg University Centre, Finance and Accounting
  • Etelka Katits University of Pannonia, Zalaegerszeg University Centre, Finance and Accounting
  • Zoltán Szabó Hungarian University of Agriculture and Life Sciences, Rural Development and Sustainable Economy

DOI:

https://doi.org/10.33032/acr.7347

Keywords:

spa towns, management, atificial intelligence, sustainability, territorial and city differences

Abstract

Spa towns face new challenges due to the 21st century's global tourism demands and sustainability requirements. Traditional management tools are no longer sufficient to meet the rapidly changing needs of modern tourism. This research aims to evaluate the specific effectiveness of traditional and Artificial Intelligence (AI)-driven management tools in both international and Hungarian contexts, with particular attention to settlement characteristics and the unique challenges of tourism. The results suggest that a combination of traditional and AI-driven tools offers an effective solution to enhancing the sustainability and competitiveness of spa towns. The study places special emphasis on addressing differences of the spa towns and examining the social and ethical impacts of AI-driven tools.

Author Biography

References

Boddy, D. (2019): Management: An Introduction. Harlow: Pearson, 600.

Csobán, K. – Szőllős-Tóth, A. – Sánta, Á. K. – Molnár, C. – Pető, K. – Dávid, L. (2022): Assessment of the Tourism Sector in a Hungarian Spa Town: A Case – Study of Hajdúszoboszló. GeoJournal of Tourism and Geosites, 45(4), 1543–1555. https://doi.org/10.30892/gtg.454spl02-973

Duan, Y. – Edwards, J. – Dwivedi, Y. (2019): Artificial Intelligence for Decision Making in the Eera of Big Data – Evolution, Challenges and Research Agenda. International Journal of Information Management, 48, 63–71. https://doi.org/10.1016/J.IJINFOMGT.2019.01.021

D. Varga, L. Dávid (2013). Zöldben Az Egység És Egyediség. Journal of Central European Green Innovation. https://doi.org/10.22004/ag.econ.171176

Errichiello, L. – Micera, R. (2021): A Process-Based Perspective of Smart Tourism Destination Governance. European Journal of Tourism Research, 29. https://doi.org/10.54055/ejtr.v29i.2436

Fabi, V. – Vettori, M. P. – Faroldi, E. (2021): Adaptive Reuse Practices and Sustainable Urban Development: Perspectives of Innovation for European Historic Spa Towns. Sustainability, 13(10), 5531. https://doi.org/10.3390/SU13105531

Fehér, K. – Veres, Z. (2022): Trends, Risks and Potential Cooperations in the AI Development Market: Expectations of the Hungarian Investors and Developers in an International Context. International Journal of Sociology and Social Policy, 43(1/2), 107–125. https://doi.org/10.1108/IJSSP-08-2021-0205

Filieri, R. – D’Amico, E. – Destefanis, A. – Paolucci, E. – Raguseo, E. (2021): Artificial Intelligence (AI) for Tourism: an European-Based Study on Successful AI Tourism Start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099– 4125. https://doi.org/10.1108/ijchm-02-2021-0220

Ho, Y. – Alam, S. – Masukujjaman, M. – Lin, C. – Susmit, S. – Susmit, S. (2022): Intention to Adopt AI-Powered Online Service Among Tourism and Hospitality Companies. Int. J. Technol. Hum. Interact., 18, 1–19. https://doi.org/10.4018/ijthi.299357

Hojcska, Á. E. – Szabó, Z. – Bujdosó, Z. (2022): Multi-Aspect Overview of Mineral-water-Based Therapies of Musculoskeletal Disorders in Hungary. Ecocycles, 8(2), 23 36. https://doi.org/10.19040/ecocycles.v8i2.235

Horn, C. – Simmons, D. (2002): Community Adaptation to Tourism: Comparisons between Rotorua and Kaikoura, New Zealand. Tourism Management, 23(2), 133–143. https://doi.org/10.1016/S0261-5177(01)00049-8

Jie, L. (2004). Application of Multivariate Statistics in Early-warning of Corporation Financial Crisis. Journal of Chongqing Architecture University. http://dx.doi.org/10.11835/j.issn.1674-4764.2004.05.026

Kantor, C. – Constantin, V. – Surd, V. (2016): Tourism and Public Health: An integrated model for sustainable community development: Case study of Romania: Turda. International Journal of Contemporary Hospitality Management, 20, 61–75. https://doi.org/10.5937/Turizam1602061K

Karosi, D. – Bujdosó, Z. (2019). Az okosturizmus szerepe az okosvárosok életében a KViHotel példáján keresztül. Acta Carolus Robertus. http://dx.doi.org/10.22004/ag.econ.300999

Kashem, M. – Shamsuddoha, M. – Nasir, T. – Chowdhury, A. (2022): The Role of Artificial Intelligence and Blockchain Technologies in Sustainable Tourism in the Middle East. Worldwide Hospitality and Tourism Themes, 15(2), 178– 191. https://doi.org/10.1108/whatt-10-2022-0116

Könnyid, L. – Váradi, Zs. – Nagy, Zs. – Ilyés, N. – H. Horváth, O. (2022): The Changes in the Demographic Characteristics and Spatial Structure of Tourism Demand in the West Balaton Region’s Spa Cities. Sustainability, 14(17), 10531. https://doi.org/10.3390/su141710531

Lisi, F. – Esposito, F. (2015): An AI Application to Integrated Tourism Planning. 246–259. https://doi.org/10.1007/978-3-319-24309-2_19

Majid, G. – Tussyadiah, I. – Kim, Y. – Pal, A. (2023): Intelligent Automation for Sustainable Tourism: a Systematic Review. Journal of Sustainable Tourism, 31, 2421– 2440. https://doi.org/10.1080/09669582.2023.2246681

Marton, G. – Hinek, M. – Kiss, R. – Csapó, J. (2019): Measuring Seasonality at the Major Spa Towns of Hungary. Hungarian Geographical Bulletin, 68(4), 391–403. https://dx.doi.org/10.15201/hungeobull.68.4.5

Mijajlović, M. – Puška, A. – Stević, Ž. – Marinković, D. – Doljanica, D. – Virijević Jovanović, S. – Stojanović, I., – Beširović, J. (2020): Determining the Competitiveness of Spa-Centers in Order to Achieve Sustainability Using a Fuzzy Multi-Criteria Decision-Making Model. Sustainability, 12(20), 8584. https://doi.org/10.3390/su12208584

Mintzberg, H. (1973): The Nature of Managerial Work. New York: Harper & Row, 298.

Muminova, S. (2022): Artificial Intelligence as a Tool for Public Management in Tourism. Central Russian Journal of Social Sciences. 17(5), 172–182. https://doi.org/10.22394/2071-2367-2022-17-5-172-182

Osterwalder, A. – Pigneur, Y. – Smith, A. (2013): Business Model Generation. Hoboken: John Wiley & Sons, 288.

Pillai, R. – Sivathanu, B. (2020): Adoption of AI-Based Chatbots for Hospitality and Tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199–3226. https://doi.org/10.1108/ijchm-04-2020-0259

Pongsuppat, U. – Jantarat, P. – Kamhangwong, D. – Wicha, S. (2023): Enhancing Local Tourism Sustainability through a Digital Local Tourism Management System (DLTMS). 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON), 393–398. https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139694

Robbins, S. P. – Coulter, M. (2021): Management. Hoboken: Pearson, 624. ISBN: 9781292374482

Samala, N. – Katkam, B. – Bellamkonda, R. – Rodriguez, R. (2020): Impact of AI and Robotics in the Tourism Sector: a Critical Insight. Journal of Tourism Futures, 8(1), 73– 87. https://doi.org/10.1108/jtf-07-2019-0065

Smith, M. – Dryglas, D. (2020): Editorial for the Special Issue of International Journal of Spa and Wellness Challenges for the Spa Sector: Transitioning from Medical to Wellness Services. International Journal of Spa and Wellness, 3(2-3), 67–68. https://doi.org/10.1080/24721735.2021.1899501

Smith, M. – Jancsik, A. – Puczkó, L. (2020): Customer Satisfaction in Post-Socialist Spas: a Case Study of Budapest, City of Spas. International Journal of Spa and Wellness, 3(2-3), 165–186. https://doi.org/10.1080/24721735.2020.1866330

Staneva, K. (2019): Trends and Challenges to Health Tourism Case Study Bulgaria-Serbia Region. Knowledge International Journal, 30(6), 1741–1744.

Szromek, A. R. (2021): The Sustainable Business Model of Spa Tourism Enterprise. Journal of Open Innovation: Technology, Market, and Complexity, 7(1). https://doi.org/10.3390/joitmc7010073

Sztubecka, M. – Maciejko, A. – Skiba, M. (2022): The Landscape of the Spa Parks Creation through Components Influencing Environmental Perception Using Multi-Criteria Analysis. Sustainability. 14(9), 5657. https://doi.org/10.3390/su14095657

Trip, D. – Simuț, R. – Badulescu, D. (2023): Do Size and Ownership Determine the Willingness for Sustainable Innovations in Spa and Health Tourism? A Case Study on Baile Felix Spa Resort, Romania. Sustainability, 15(19), 14501. https://doi.org/10.3390/su151914501

Wei, W. – Lin, Q. (2020): Research on Intelligent Tourism Town Based on AI Technology. Journal of Physics: Conference Series, 575. https://doi.org/10.1088/1742-6596/1575/1/012039

World Bank Group (2022): Destination Manegement Handbook. Washington: The World Bank, 114.

Zancan, C. – Passador, J. – Passador, C. (2023): Artificial Intelligence (AI) in the Management of Inter-Municipal Tourism Consortia. Open Journal of Business and Management, 1(04), 1454–1478. https://doi.org/10.4236/ojbm.2023.114080

Published

2025-12-15

How to Cite

Fejes, J. K., Katits, E., & Szabó, Z. (2025). The Future of Spa Cities: Integration of Traditional and Artificial Intelligence-based Tools for Sustainable Tourism on the International Level and in Hungarian in the Light of a Literature Review. Acta Carolus Robertus, 15(2), 76–94. https://doi.org/10.33032/acr.7347

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