IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-4p1289-1332.html
   My bibliography  Save this article

An Assessment of the Effects of Artificial Intelligence on Tourist Behavior and Decision-Making in San Jose Del Monte City, Bulacan

Author

Listed:
  • Genine Rianne A. Raynera

    (Department of Hospitality and Tourism Management, Bulacan State University-Sarmiento Campus, City of San Jose Del Monte, Bulacan, Philippines, 3023)

  • Sandara Kaye B. Balasta

    (Department of Hospitality and Tourism Management, Bulacan State University-Sarmiento Campus, City of San Jose Del Monte, Bulacan, Philippines, 3023)

  • Khay Ingrid E. Capili

    (Department of Hospitality and Tourism Management, Bulacan State University-Sarmiento Campus, City of San Jose Del Monte, Bulacan, Philippines, 3023)

  • Sarah Jane T. Haber

    (Master in Business Administration, Department of Business Administration, Bulacan State University-Sarmiento Campus, City of San Jose Del Monte, Bulacan, Philippines, 3023)

Abstract

The study utilized a mixed-method research design employing a quantitative and qualitative approach to investigate the effects of existing artificial intelligence tools provided by the travel agencies on the tourists’ behavior and decision-making in San Jose Del Monte City, Bulacan. The study revealed that most tourists agree that chatbots greatly contribute to travel agencies’ ensuring good quality travel services. Moreover, most tourists agree that the virtual travel assistants provided by the travel agencies greatly contribute to and help them plan and book their travels. Furthermore, the research findings show that most tourists believe that AI tools used by travel agencies can enhance their travel decision-making and overall experience. In addition, the relationship between chatbots, virtual travel assistants, and artificial intelligence, as well as how they affect tourists’ behavior and decision-making, was explored. The result shows the p-value of .000, which is less than the value of 0.05. Therefore, the null hypothesis is rejected, indicating a significant relationship between the variables of chatbots, virtual travel assistants, and artificial intelligence to the tourist’s behavior and decision-making. It is also noted that there is a strong positive correlation between each of these variables. The research findings provide a comprehensive overview of the current state and impact of AI tools in travel agencies in San Jose Del Monte City, Bulacan. Some of the travel agencies use a system that is connected to the airlines, highlighting the importance of flexibility and patience in meeting clients’ needs.

Suggested Citation

  • Genine Rianne A. Raynera & Sandara Kaye B. Balasta & Khay Ingrid E. Capili & Sarah Jane T. Haber, 2025. "An Assessment of the Effects of Artificial Intelligence on Tourist Behavior and Decision-Making in San Jose Del Monte City, Bulacan," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(4), pages 1289-1332, April.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-4:p:1289-1332
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-4/1289-1332.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijriss/articles/an-assessment-of-the-effects-of-artificial-intelligence-on-tourist-behavior-and-decision-making-in-san-jose-del-monte-city-bulacan/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tamara Gajić & Alireza Ranjbaran & Dragan Vukolić & Jovan Bugarčić & Ana Spasojević & Jelena Đorđević Boljanović & Duško Vujačić & Marija Mandarić & Marija Kostić & Dejan Sekulić & Marina Bugarčić & B, 2024. "Tourists’ Willingness to Adopt AI in Hospitality—Assumption of Sustainability in Developing Countries," Sustainability, MDPI, vol. 16(9), pages 1-25, April.
    2. Cao, Guangming & Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K., 2021. "Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making," Technovation, Elsevier, vol. 106(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Daly, Sarah J. & Wiewiora, Anna & Hearn, Greg, 2025. "Shifting attitudes and trust in AI: Influences on organizational AI adoption," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    3. Ying, Ying & Wang, Shixiang & Liu, Yang, 2022. "Make bricks without straw: Eco-innovation for resource-constrained firms in emerging markets," Technovation, Elsevier, vol. 114(C).
    4. Robertson, Jeandri & Botha, Elsamari & Oosthuizen, Kim & Montecchi, Matteo, 2025. "Managing change when integrating artificial intelligence (AI) into the retail value chain: The AI implementation compass," Journal of Business Research, Elsevier, vol. 189(C).
    5. Jung-Chieh Lee & Yuyin Tang & SiQi Jiang, 2023. "Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    6. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    7. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    8. Gonçalo Baptista & Antonio Pereira, 2025. "Understanding the Determinants of Adoption and Intention to Recommend AI Technology in Travel and Transportation," Tourism and Hospitality, MDPI, vol. 6(2), pages 1-23, March.
    9. Roberts, Deborah L. & Candi, Marina, 2024. "Artificial intelligence and innovation management: Charting the evolving landscape," Technovation, Elsevier, vol. 136(C).
    10. Stroh, Tim & Mention, Anne-Laure & Duff, Cameron, 2023. "The impact of evolved psychological mechanisms on innovation and adoption: A systematic literature review," Technovation, Elsevier, vol. 125(C).
    11. David Mortimore, 2024. "Moving beyond human-centric organizational designs," Journal of Organization Design, Springer;Organizational Design Community, vol. 13(2), pages 65-75, June.
    12. Janarthanan Balakrishnan & Yogesh K. Dwivedi & Laurie Hughes & Frederic Boy, 2024. "Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model," Information Systems Frontiers, Springer, vol. 26(3), pages 921-942, June.
    13. Maurer, Marcel & Bach, Norbert & Oertel, Simon, 2024. "Dealing with the downsides of new work: The reactions of middle managers to the decline in middle management," European Management Journal, Elsevier, vol. 42(3), pages 358-370.
    14. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    15. Zhai, Minhan & Wu, Wenqing & Tsai, Sang-Bing, 2025. "The effects of Artificial intelligence orientation on inefficient investment: Firm-level evidence from China's energy enterprises," Energy Economics, Elsevier, vol. 141(C).
    16. Chen Qu & Eunyoung Kim, 2025. "Investigating AI Adoption, Knowledge Absorptive Capacity, and Open Innovation in Chinese Apparel MSMEs: An Extended TAM-TOE Model with PLS-SEM Analysis," Sustainability, MDPI, vol. 17(5), pages 1-31, February.
    17. Hao Dong & Yang Zhang & Tianqing Chen, 2023. "A Study on Farmers’ Participation in Environmental Protection in the Context of Rural Revitalization: The Moderating Role of Policy Environment," IJERPH, MDPI, vol. 20(3), pages 1-13, January.
    18. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).
    19. Dicuonzo, Grazia & Donofrio, Francesca & Fusco, Antonio & Shini, Matilda, 2023. "Healthcare system: Moving forward with artificial intelligence," Technovation, Elsevier, vol. 120(C).
    20. Jameel, Alaa S. & Harjan, Sinan Abdullah & Ahmad, Abd Rahman, 2023. "Behavioral Intentions to use Artificial Intelligence Among Managers in Small and Medium Enterprises," OSF Preprints w69yh, Center for Open Science.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcp:journl:v:9:y:2025:issue-4:p:1289-1332. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.