IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v21y2019i3d10.1007_s40558-019-00146-1.html
   My bibliography  Save this article

Online accommodation booking: what information matters the most to users?

Author

Listed:
  • Lee Yen Chaw

    (UCSI University, Kuala Lumpur Campus)

  • Chun Meng Tang

    (James Cook University, Singapore Campus)

Abstract

One of the key things travellers do when planning a trip is to go online to search for and book the right accommodation. Accommodation booking websites such as Agoda, Booking.com, and Expedia provide a range of accommodation options and relevant information, such as rates, star ratings, customer review ratings, reviewers’ comments, reservation policies, facilities, and so on. This study examined what and how information provided by accommodation providers on accommodation booking websites influences travellers in their decision-making before they make an actual booking. This study developed a model, based on Walther and Parks’ (Handbook of interpersonal communication. Sage, Thousand Oaks, pp 529–563, 2002) Warranting Theory, and McKnight et al.’s (J Strateg Inf Syst 11:297–323, 2002a) Web Trust Model, to examine how the warranting value of accommodation information affected travellers’ trusting intentions, and how these trusting intentions affected their trust-related behaviours. An online questionnaire survey collected responses from travellers who had previously booked accommodation using an accommodation booking website. Partial least squares analyses of 94 responses showed that there was a statistically significant positive relationship between warranting value of accommodation information and trusting intentions, as well as between trusting intentions and trust-related behaviours. However, trusting intentions had negligible and insignificant mediating effect between warranting value of accommodation information and trust-related behaviours. The findings of this study can help online accommodation booking websites and accommodation providers to understand what and how they can leverage information to sufficiently influence travellers’ trusting intentions and eventually entice travellers to make an actual booking.

Suggested Citation

  • Lee Yen Chaw & Chun Meng Tang, 2019. "Online accommodation booking: what information matters the most to users?," Information Technology & Tourism, Springer, vol. 21(3), pages 369-390, September.
  • Handle: RePEc:spr:infott:v:21:y:2019:i:3:d:10.1007_s40558-019-00146-1
    DOI: 10.1007/s40558-019-00146-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-019-00146-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-019-00146-1?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. 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.
    2. Geetha, M. & Singha, Pratap & Sinha, Sumedha, 2017. "Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis," Tourism Management, Elsevier, vol. 61(C), pages 43-54.
    3. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    4. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    5. 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.
    6. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    7. Deniz Kucukusta & Rob Law & Alia Besbes & Patrick Legoherel, 2015. "Re-examining perceived usefulness and ease of use in online booking," Post-Print hal-02868005, HAL.
    8. Kim, Dohee & Park, Byung-Jin (Robert), 2017. "The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment," Tourism Management, Elsevier, vol. 63(C), pages 439-451.
    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. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    2. Ioannis Arzoumanidis & Anna M. Walker & Luigia Petti & Andrea Raggi, 2021. "Life Cycle-Based Sustainability and Circularity Indicators for the Tourism Industry: A Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-11, October.
    3. Robert Jeyakumar Nathan & Vijay Victor & Melanie Tan & Maria Fekete-Farkas, 2020. "Tourists’ use of Airbnb app for visiting a historical city," Information Technology & Tourism, Springer, vol. 22(2), pages 217-242, June.
    4. Robert Jeyakumar Nathan & Vijay Victor & Melanie Tan & Maria Fekete-Farkas, 0. "Tourists’ use of Airbnb app for visiting a historical city," Information Technology & Tourism, Springer, vol. 0, pages 1-26.

    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. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    2. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    3. De Giovanni, Pietro & Esposito Vinzi, Vincenzo, 2012. "Covariance versus component-based estimations of performance in green supply chain management," International Journal of Production Economics, Elsevier, vol. 135(2), pages 907-916.
    4. Assemi, Behrang & Hickman, Mark, 2018. "Relationship between heavy vehicle periodic inspections, crash contributing factors and crash severity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 441-459.
    5. Kathrin Dudenhöffer, 2013. "Why electric vehicles failed," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(2), pages 95-124, July.
    6. Aurelio Scaglione & Daria Mendola, 2017. "Measuring the perceived value of rural tourism: a field survey in the western Sicilian agritourism sector," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 745-763, March.
    7. Jonathan Dörr & Thomas Wagner & Alexander Benlian & Thomas Hess, 2013. "Music as a Service as an Alternative to Music Piracy?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 383-396, December.
    8. Anne Bartel-Radic & Jean-Luc Giannelloni, 2017. "A renewed perspective on the measurement of cross-cultural competence: An approach through personality traits and cross-cultural knowledge," Post-Print hal-01975656, HAL.
    9. Pasquale Dolce & Natale Lauro, 2015. "Comparing maximum likelihood and PLS estimates for structural equation modeling with formative blocks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 891-902, May.
    10. Petra Moog & Christian Soost, 2022. "Does team diversity really matter? The connection between networks, access to financial resources, and performance in the context of university spin-offs," Small Business Economics, Springer, vol. 58(1), pages 323-351, January.
    11. Cadogan, John W. & Lee, Nick, 2013. "Improper use of endogenous formative variables," Journal of Business Research, Elsevier, vol. 66(2), pages 233-241.
    12. LEBRUMENT, Norbert & ZUMBO-LEBRUMENT, Cédrine & ROCHETTE, Corinne & ROULET, Thomas J., 2021. "Triggering participation in smart cities: Political efficacy, public administration satisfaction and sense of belonging as drivers of citizens’ intention," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    13. Bartel-Radic, Anne & Giannelloni, Jean-Luc, 2017. "A renewed perspective on the measurement of cross-cultural competence: An approach through personality traits and cross-cultural knowledge," European Management Journal, Elsevier, vol. 35(5), pages 632-644.
    14. Radosevic, Slavo & Yoruk, Esin, 2013. "Entrepreneurial propensity of innovation systems: Theory, methodology and evidence," Research Policy, Elsevier, vol. 42(5), pages 1015-1038.
    15. Corrado Crocetta & Laura Antonucci & Rosanna Cataldo & Roberto Galasso & Maria Gabriella Grassia & Carlo Natale Lauro & Marina Marino, 2021. "Higher-Order PLS-PM Approach for Different Types of Constructs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 154(2), pages 725-754, April.
    16. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    17. 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.
    18. Sarstedt, Marko & Wilczynski, Petra & Melewar, T.C., 2013. "Measuring reputation in global markets—A comparison of reputation measures’ convergent and criterion validities," Journal of World Business, Elsevier, vol. 48(3), pages 329-339.
    19. Panagopoulos, Nikolaos G. & Avlonitis, George J., 2010. "Performance implications of sales strategy: The moderating effects of leadership and environment," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 46-57.
    20. Minerva Martínez Avila & Juan José García-Machado & Eréndira Fierro Moreno, 2021. "A Multiple Full Mediating Effect in a PLS Hierarchical Component Model: Application to the Collaborative Public Management," Mathematics, MDPI, vol. 9(16), pages 1-19, August.

    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:spr:infott:v:21:y:2019:i:3:d:10.1007_s40558-019-00146-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.