IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v16y2019i08ns0219877019500603.html
   My bibliography  Save this article

Understanding the Adoption Factors Influence on the Use of Intelligent Travel Assistant (ITA) for Eco-Tourists: An Extension of the UTAUT

Author

Listed:
  • Noppadol Phaosathianphan

    (Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand)

  • Adisorn Leelasantitham

    (Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand)

Abstract

The objective of this research is to investigate the antecedent factors involving eight variables, i.e. ease of use, trust, enjoyment, design, usefulness, quality, safety and empathy, which influence user acceptance of the intelligent travel assistant (ITA), thus they are formulated into a research model and hypothesis according to wide and deep exploration about the theories of travel and tourism. The technologies used were the VPA, IPA, AI, IoT, technology acceptance theories and related literature. The data collection used online questionnaires for the survey through social media promotion online, i.e. Facebook and Line. The data analysis was conducted with the 299 eco-tourists via the descriptive statistics, that is, percentages and standard deviations (S.D.) through the program of PASW Statistics v.18.0.0. The statistical inferential analysis has used the measurement model and the structural model through employing the program of SmartPLS v.3.2.8. Their results led to recognizing the ITA user acceptance containing firstly the external factors, which involve the ease to use, the trust, the enjoyment, and the design. Secondly, the internal factors included the usefulness, and the quality. Thirdly, the direct factor is the empathy. Finally, the results of this study could be applied for implementation and assessment of ITA in the future.

Suggested Citation

  • Noppadol Phaosathianphan & Adisorn Leelasantitham, 2019. "Understanding the Adoption Factors Influence on the Use of Intelligent Travel Assistant (ITA) for Eco-Tourists: An Extension of the UTAUT," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(08), pages 1-26, December.
  • Handle: RePEc:wsi:ijitmx:v:16:y:2019:i:08:n:s0219877019500603
    DOI: 10.1142/S0219877019500603
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877019500603
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219877019500603?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Numtip Trakulmaykee & Thakerng Wongsirichot & Yaowalak Trakulmaykee, 2018. "A Comparative Study of Factors’ Influences Affecting Tourists’ Intention to Use Mobile Food Information: Independent Tourists and Package Tourists," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-20, February.
    2. Violina P. Rindova & Antoaneta P. Petkova, 2007. "When Is a New Thing a Good Thing? Technological Change, Product Form Design, and Perceptions of Value for Product Innovations," Organization Science, INFORMS, vol. 18(2), pages 217-232, April.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    5. Anil Gupta & Nikita Dogra, 2017. "Tourist adoption of mapping apps: a UTAUT2 perspective of smart travellers," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 23(2), pages 145-1416-1, November.
    6. Rajdeep Grewal & Joseph A. Cote & Hans Baumgartner, 2004. "Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing," Marketing Science, INFORMS, vol. 23(4), pages 519-529, June.
    7. Trabucchi, Daniel & Talenti, Luca & Buganza, Tommaso, 2019. "How do Big Bang Disruptors look like? A Business Model perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 330-340.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Renata Walczak & Krzysztof Koszewski & Robert Olszewski & Krzysztof Ejsmont & Anikó Kálmán, 2023. "Acceptance of IoT Edge-Computing-Based Sensors in Smart Cities for Universal Design Purposes," Energies, MDPI, vol. 16(3), pages 1-22, January.
    2. Prateep Puengwattanapong & Adisorn Leelasantitham, 2022. "A Holistic Perspective Model of Plenary Online Consumer Behaviors for Sustainable Guidelines of the Electronic Business Platforms," Sustainability, MDPI, vol. 14(10), pages 1-38, May.
    3. Petcharat, Thanatchaphan & Jattamart, Aungkana & Leelasantitham, Adisorn, 2023. "A conceptual model to imply a negative innovation assessment framework on consumer behaviors through the electronic business platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).

    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. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    2. Femke Hilverda & Margôt Kuttschreuter, 2018. "Online Information Sharing About Risks: The Case of Organic Food," Risk Analysis, John Wiley & Sons, vol. 38(9), pages 1904-1920, September.
    3. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    4. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    5. Jennifer Heiny & Icek Ajzen & Ingrid-Ute Leonhäuser & Peter Schmidt, 2019. "Intentions to Enhance Tourism in Private Households: Explanation and Mediated Effects of Entrepreneurial Experience," Journal of Entrepreneurship and Innovation in Emerging Economies, Entrepreneurship Development Institute of India, vol. 5(2), pages 128-148, July.
    6. Nguyen, The Ninh & Lobo, Antonio & Greenland, Steven, 2016. "Pro-environmental purchase behaviour: The role of consumers' biospheric values," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 98-108.
    7. Wan, Calvin & Shen, Geoffrey Qiping & Yu, Ann, 2014. "The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 141-151.
    8. Azwadi Ali Author_Email: azwadi@umt.edu.my, 2011. "He Mediating Role Of Attitudes In Trading Companies’ Shares," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-222, Conference Master Resources.
    9. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    10. Dongming Wu & Liukai Yu & Qianqian Zhang & Yangyang Jiao & Yuhe Wu, 2021. "Materialism, Ecological Consciousness and Purchasing Intention of Electric Vehicles: An Empirical Analysis among Chinese Consumers," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    11. Monaghan, Conal & Bizumic, Boris & Van Rooy, Dirk, 2020. "An analysis of public attitudes in Australia towards applications of biotechnology to humans: Kinds, causes, and effects," Technology in Society, Elsevier, vol. 63(C).
    12. Kânoğlu-Özkan, Dilge Güldehen & Soytaş, Uğur, 2022. "The social acceptance of shale gas development: Evidence from Turkey," Energy, Elsevier, vol. 239(PC).
    13. van Riel, C.B.M. & Berens, G.A.J.M. & Dijkstra, M., 2008. "Stimulating Strategically Aligned Behaviour among Employees," ERIM Report Series Research in Management ERS-2008-045-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Lizin, Sebastien & Van Dael, Miet & Van Passel, Steven, 2017. "Battery pack recycling: Behaviour change interventions derived from an integrative theory of planned behaviour study," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 66-82.
    15. John D'Ambra & Concepción S. Wilson & Shahriar Akter, 2013. "Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 48-64, January.
    16. Heidenreich, Sven & Kraemer, Tobias, 2015. "Passive innovation resistance: The curse of innovation? Investigating consequences for innovative consumer behavior," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 134-151.
    17. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    18. Loureiro, Sandra Maria Correia & Araújo, Cristiano Mineiro Branco de, 2014. "Luxury values and experience as drivers for consumers to recommend and pay more," Journal of Retailing and Consumer Services, Elsevier, vol. 21(3), pages 394-400.
    19. Goldsmith, Andrew L. & Walker, Matthew, 2015. "The NASCAR experience: Examining the influence of fantasy sport participation on ‘non-fans’," Sport Management Review, Elsevier, vol. 18(2), pages 231-243.
    20. Girod, Bastien & Mayer, Sebastian & Nägele, Florian, 2017. "Economic versus belief-based models: Shedding light on the adoption of novel green technologies," Energy Policy, Elsevier, vol. 101(C), pages 415-426.

    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:wsi:ijitmx:v:16:y:2019:i:08:n:s0219877019500603. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.