IDEAS home Printed from https://ideas.repec.org/a/bjw/econen/v15y2025i6p132-145.html
   My bibliography  Save this article

Investigating the factors affecting online hotel reservations: An analysis of Vietnamese adolescents

Author

Listed:
  • Chau Thi Minh Pham

    (Foreign Trade University, Hanoi, Vietnam)

  • Anh Thi Minh Bui

    (National Economics University, Hanoi, Vietnam)

  • Tuan Van Pham

    (National Economics University, Hanoi, Vietnam)

Abstract

A study on the importance of returning hotel reservations plays a significant role for both hotels and researchers in the hospitality industry, especially in the context of the strong development of technology and the increasing popularity of online hotel bookings. In Vietnam, the younger generation has a diverse and high-frequency travel behavior. Therefore, this study aims to identify factors that influence the intention of young people to return and make hotel bookings. The study used 558 respondents under the age of 35. The PLS-SEM analysis technique was applied in this study using Smart-PLS software. The results of the analysis indicate that social influence, perceived value, habit, website trust, and perceived ease of use all have a positive impact on the intention to reserve hotels online. Based on these research findings, the authors also suggest some policy implications to improve the attraction of young customers to return and make hotel bookings.

Suggested Citation

  • Chau Thi Minh Pham & Anh Thi Minh Bui & Tuan Van Pham, 2025. "Investigating the factors affecting online hotel reservations: An analysis of Vietnamese adolescents," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 15(6), pages 132-145.
  • Handle: RePEc:bjw:econen:v:15:y:2025:i:6:p:132-145
    DOI: 10.46223/HCMCOUJS.econ.en.15.6.3618.2025
    as

    Download full text from publisher

    File URL: https://journalofscience.ou.edu.vn/index.php/econ-en/article/view/3618/2392
    Download Restriction: no

    File URL: https://libkey.io/10.46223/HCMCOUJS.econ.en.15.6.3618.2025?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Seo Yeon Kim & Jong Uk Kim & Sang Cheol Park, 2017. "The Effects of Perceived Value, Website Trust and Hotel Trust on Online Hotel Booking Intention," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    2. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    3. Davis, Donald R., 1998. "Technology, unemployment, and relative wages in a global economy," European Economic Review, Elsevier, vol. 42(9), pages 1613-1633, November.
    4. Ulrike Gretzel & Kyung Hyan Yoo, 2008. "Use and Impact of Online Travel Reviews," Springer Books, in: Peter O’Connor & Wolfram Höpken & Ulrike Gretzel (ed.), Information and Communication Technologies in Tourism 2008, pages 35-46, Springer.
    5. Dan Huang & Zhiyong Li & Jian Mou & Xinyi Liu, 2017. "Effects of flow on young Chinese consumers’ purchase intention: a study of e-servicescape in hotel booking context," Information Technology & Tourism, Springer, vol. 17(2), pages 203-228, June.
    6. Sung-Bum Kim & Dae-Young Kim, 2017. "Antecedents of Corporate Reputation in the Hotel Industry: The Moderating Role of Transparency," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    7. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    8. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    9. Mohamed Khalifa & Vanessa Liu, 2007. "Online consumer retention: contingent effects of online shopping habit and online shopping experience," European Journal of Information Systems, Taylor & Francis Journals, vol. 16(6), pages 780-792, December.
    10. Hsu, Meng-Hsiang & Chang, Chun-Ming & Chuang, Li-Wen, 2015. "Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan," International Journal of Information Management, Elsevier, vol. 35(1), pages 45-56.
    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. Meng Tao & Muhammad Zahid Nawaz & Shahid Nawaz & Asad Hassan Butt & Hassan Ahmad, 2018. "Users’ acceptance of innovative mobile hotel booking trends: UK vs. PRC," Information Technology & Tourism, Springer, vol. 20(1), pages 9-36, December.
    2. Ozturk, Ahmet Bulent & Bilgihan, Anil & Nusair, Khaldoon & Okumus, Fevzi, 2016. "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience," International Journal of Information Management, Elsevier, vol. 36(6), pages 1350-1359.
    3. Nazir, Sajjad & Khadim, Sahar & Ali Asadullah, Muhammad & Syed, Nausheen, 2023. "Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach," Technology in Society, Elsevier, vol. 72(C).
    4. Mäntymäki, Matti & Riemer, Kai, 2014. "Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel," International Journal of Information Management, Elsevier, vol. 34(2), pages 210-220.
    5. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    6. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    7. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    8. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    9. Waseem Ahmad Khan & Zain Ul Abideen, 2023. "Effects of behavioural intention on usage behaviour of digital wallet: the mediating role of perceived risk and moderating role of perceived service quality and perceived trust," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.
    10. Rajat Kumar Behera & Pradip Kumar Bala & Arghya Ray, 2024. "Cognitive Chatbot for Personalised Contextual Customer Service: Behind the Scene and beyond the Hype," Information Systems Frontiers, Springer, vol. 26(3), pages 899-919, June.
    11. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    12. Anastasios-Ioannis Theocharidis & Maria Argyropoulou & George Karavasilis & Vasiliki Vrana & Evangelos Kehris, 2020. "An Approach towards Investigating Factors Affecting Intention to Book a Hotel Room through Social Media," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    13. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    14. Cornelia Sindermann & René Riedl & Christian Montag, 2020. "Investigating the Relationship between Personality and Technology Acceptance with a Focus on the Smartphone from a Gender Perspective: Results of an Exploratory Survey Study," Future Internet, MDPI, vol. 12(7), pages 1-17, June.
    15. repec:zna:indecs:v:19:y:2021:i:4:p:420-436 is not listed on IDEAS
    16. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    17. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    18. Miriam Martens & Oliver Roll & Roger Elliott, 2017. "Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-19, December.
    19. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    20. Hamed Taherdoost, 2021. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-03741844, HAL.
    21. Sayed Fayaz Ahmad & Muhammad Mansoor Alam & Mohd. Khairil Rahmat & Muhammad Khalil Shahid & Mahnaz Aslam & Nur Agus Salim & Mohammed Hasan Ali Al-Abyadh, 2023. "Leading Edge or Bleeding Edge: Designing a Framework for the Adoption of AI Technology in an Educational Organization," Sustainability, MDPI, vol. 15(8), pages 1-20, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • P13 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises

    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:bjw:econen:v:15:y:2025:i:6:p:132-145. 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: Vu Tuan Truong (email available below). General contact details of provider: https://journalofscience.ou.edu.vn/index.php/econ-en .

    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.