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

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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.

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References

  • Al-Abdullatif W, Kotb Y (2014) Using online hotel customer reviews to improve the booking process. Int J Comput Appl 97:13–20

    Google Scholar 

  • Alzua-Sorzabal A, Gerrikagoitia JK, Torres-Manzanera E (2013) Opening and closing Internet booking channel for hotels: a first approximation. Tour Manag Perspect 5:5–9

    Google Scholar 

  • Anderson JC, Gerbing DW (1988) Structural equation modeling in practice: a review and recommended two-step approach. Psychol Bull 103:411–423

    Google Scholar 

  • Anderson JC, Narus JA (1990) A model of distributor firm and manufacturer firm working partnership. J Mark 54:42–58

    Google Scholar 

  • Bilgihan A, Bujisic M (2015) The effect of website features in online relationship marketing: a case of online hotel booking. Electron Commer Res Appl 14(4):222–232

    Google Scholar 

  • Casalo LV, Flavian C, Guinaliu M, Ekinci Y (2015) Do online hotel rating schemes influence booking behaviors? Int J Hosp Manag 49:28–36

    Google Scholar 

  • Chan ESW, Wong SCK (2006) Hotel selection: when price is not the issue. J Vacat Mark 12(2):142–159

    Google Scholar 

  • Chin WW (1998) Commentary: issues and opinion on structural equation modeling. MIS Q 22:vii–xvi

    Google Scholar 

  • Chin WW, Gopal A (1995) Adoption intention in GSS: relative importance of beliefs. Data Base Adv 26:42–64

    Google Scholar 

  • Condra LW (1991) Reliability improvement with design of experiments, 2nd edn. CRC Press, Boca Raton

    Google Scholar 

  • DeAndrea DC, Carpenter CJ (2016) Measuring the construct of warranting value and testing warranting theory. Commun Res 45:1193–1215

    Google Scholar 

  • DeAndrea DC, Heide BV, Vendemia MA, Vang MH (2015) How people evaluate online review. Commun Res 45:719–736

    Google Scholar 

  • Diamantopoulos A, Winklhofer HM (2001) Index construction with formative indicators: an alternative to scale development. J Mark Res 38:269–277

    Google Scholar 

  • Diamantopoulos A, Riefler P, Roth KP (2008) Advancing formative measurement models. J Bus Res 61:1203–1218

    Google Scholar 

  • Expedia Inc (2017) Global network of brands. http://www.expediainc.com/expedia-brands/

  • Fornell C, Larcker DF (1981) Structural equation models with unobservable variables and measurement error: algebra and statistics. J Mark Res 18:382–388

    Google Scholar 

  • Gavilan D, Avello M, Martinez-Navarro G (2018) The influence of online ratings and reviews on hotel booking consideration. Tour Manag 66:53–61

    Google Scholar 

  • Geetha M, Singha P, Sinha S (2017) Relationship between customer sentiment and online customer ratings for hotels—an empirical analysis. Tour Manag 61:43–54

    Google Scholar 

  • Gefen D, Straub D (2005) A practical guide to factorial validity using PLS-Graph: tutorial and annotated example. Commun Assoc Inf Syst 16:91–109

    Google Scholar 

  • Gefen D, Straub DW, Boudreau M (2000) Structural equation modeling and regression: guidelines for research practice. Commun Assoc Inf Syst 4:1–77

    Google Scholar 

  • Golmohammadi AR, Jahandideh B, O’Gorman KD (2012) Booking on-line or not: a decision rule approach. Tour Manag Perspect 2–3:85–88

    Google Scholar 

  • Haenlein M, Kaplan AM (2004) A beginner’s guide to partial least squares analysis. Underst Stat 3:283–297

    Google Scholar 

  • Hair JF, Hult GTM, Ringle CM, Sarstedt M (2014) A primer on partial least squares structural equation modeling. Sage, Thousand Oaks

    Google Scholar 

  • Henseler J, Ringle CM, Sinkovics RR (2009) The use of partial least squares path modeling in international marketing. In: Sinkovics RR, Ghauri PN (eds) New challenges to international marketing. Emerald Group Publishing, Bingley, pp 277–319

    Google Scholar 

  • Jarvis CB, MacKenzie SB, Podsakoff PM (2003) A critical review of construct indicators and measurement model misspecification in marketing and consumer research. J Consum Res 30:199–218

    Google Scholar 

  • Jin SV, Phua J (2015) Making reservation online: the impact of consumer-written and system aggregated user generated content (UGC) in travel booking websites on consumers’ behavioral intentions. J Travel Tour Mark 33:1–17

    Google Scholar 

  • Jones P, Chen MM (2011) Factors determining hotel selection: online behaviour by leisure travellers. Tour Hosp Res 11(1):83–95

    Google Scholar 

  • Jordan EJ, Norman WC, Vogt CA (2013) A cross-cultural comparison of online travel information search behaviors. Tour Manag Perspect 6:15–22

    Google Scholar 

  • Kim D, Park BJ (2017) The moderating role of context in the effects of choice attributes on hotel choice: a discrete choice experiment. Tour Manag 63:439–451

    Google Scholar 

  • Kock N (2015) WarpPLS 5.0 user manual. ScriptWarp Systems, Laredo

    Google Scholar 

  • Kucukusta D, Law R, Besbes A, Legoherel P (2015) Re-examining perceived usefulness and ease of use in online booking. Int J Contemp Hosp Manag 27:185–198

    Google Scholar 

  • Kuo PJ, Zhang L, Cranage DA (2015) What you get is not what you saw: exploring the impacts of misleading hotel website photos. Int J Contemp Hosp Manag 27(6):1301–1319

    Google Scholar 

  • Law R, Hsu CH (2005) Customers’ perceptions on the importance of hotel web site dimensions and attributes. Int J Contemp Hosp Manag 17:493–503

    Google Scholar 

  • Law R, Wong R (2010) Analysing room rates and terms and conditions for the online booking of hotel rooms. Asia Pac J Tour Res 15(1):43–56

    Google Scholar 

  • Lee KW, Kim HB, Kim HS, Lee DS (2010) The determinants of factors in fit guests’ perception of hotel location. J Hosp Tour Manag 17:167–174

    Google Scholar 

  • Li L, Peng M, Jiang N, Law R (2017) An empirical study on the influence of economy hotel website quality on online booking intentions. Inte J Hosp Manag 63:1–10

    Google Scholar 

  • Lockyer T (2005) The perceived importance of price as one hotel selection dimension. Tour Manag 26(4):529–537

    Google Scholar 

  • Masiero L, Yang Y, Qiu R (2019) Understanding hotel location preference of customers: comparing random utility and random regret decision rules. Tour Manag 73:83–93

    Google Scholar 

  • McKnight D, Chervany N (2001–2002) What trust means in e-commerce customer relationships: an interdisciplinary conceptual typology. Int J Electron Commerce 6:35–59

    Google Scholar 

  • McKnight DH, Choudhury V, Kacmar C (2002a) The impact of initial consumer trust on intentions to transact with a web site: a trust building model. J Strateg Inf Syst 11:297–323

    Google Scholar 

  • McKnight DH, Choudhury V, Kacmar C (2002b) Developing and validating trust measures for e-commerce: an integrative typology. Inf Syst Res 13(3):334–359

    Google Scholar 

  • Murphy HC, Chen MM (2016) Online information sources used in hotel bookings: examining relevance and recall. J Travel Res 55(4):523–536

    Google Scholar 

  • Petter S, Straub D, Rai A (2007) Specifying formative constructs in information systems research. MIS Q 31:623–656

    Google Scholar 

  • Ratnasingam P (2012) Customer’s trust indicators in the online hotel booking decision. Int J Bus Humanit Technol 2:192–198

    Google Scholar 

  • Rianthong N, Dumrongsiri A, Kohda Y (2016) Optimizing customer searching experience of online hotel booking by sequencing hotel choices and selection online reviews: a mathematical model approach. Tour Manag Perspect 20:55–65

    Google Scholar 

  • Sheppard BH, Hartwick J, Warshaw PR (1988) The theory of reasoned action: a meta analysis of past research with recommendations for modifications in future research. J Consum Res 15:325–343

    Google Scholar 

  • Shoval N, McKercher B, Ng E, Birenboim A (2011) Hotel location and tourist activity in cities. Ann Tour Res 38(4):1594–1612

    Google Scholar 

  • SimilarWeb (2017) Traffic overview. https://www.similarweb.com/website/booking.com

  • Statista (2017a) Digital travel sales worldwide from 2014 to 2020 (in billion U.S. dollars). https://www.statista.com/statistics/499694/forecast-of-online-travel-sales-worldwide/

  • Statista (2017b) Sales of the leading travel agencies worldwide in 2016. https://www.statista.com/statistics/307591/sales-of-the-leading-travel-agencies-worldwide/

  • Tabachnick BG, Fidell LS (2006) Using multivariate statistics, 5th edn. Pearson, Boston

    Google Scholar 

  • Tenenhaus M, Vinzi VE, Chatelin Y, Lauro C (2005) PLS path modeling. Comput Stat Data Anal 48:159–205

    Google Scholar 

  • The Priceline Group (2017) Overview. http://www.pricelinegroup.com/about/

  • The World Bank (2017) International tourism, number of arrivals. http://data.worldbank.org/indicator/ST.INT.ARVL

  • TripAdvisor (2017a) About TripAdvisor. https://tripadvisor.mediaroom.com/sg-about-us

  • TripAdvisor (2017b) Our guidelines for traveller reviews. https://www.tripadvisorsupport.com/hc/en-sg/articles/200614797-Our-guidelines-for-traveller-reviews

  • Urbach N, Ahlemann F (2010) Structural equation modeling in information systems research using partial least squares. J Inf Technol Theory Appl 11:5–40

    Google Scholar 

  • Venkatesh V (2000) Determinants of perceived ease of use: integrating perceived behavioral control, computer anxiety and enjoyment into the technology acceptance model. Inf Syst Res 11:342–365

    Google Scholar 

  • Walther JB (2011) Theories of computer-mediated communication and interpersonal relations. In: Knapp ML, Daly JA (eds) The handbook of interpersonal communication. Sage, Thousand Oaks, pp 443–479

    Google Scholar 

  • Walther JB, Parks MR (2002) Cues filtered out, cues filtered in: computer-mediated communication and relationships. In: Knapp ML, Daly JA (eds) Handbook of interpersonal communication. Sage, Thousand Oaks, pp 529–563

    Google Scholar 

  • Walther JB, Van Der Heide B, Hamel L, Shulman H (2009) Self-generated versus other generated statements and impressions in computer mediated communication: a test of warranting theory using Facebook. Commun Res 36:229–253

    Google Scholar 

  • Wang L, Law R, Guillet BD, Hung K, Fong DKC (2015) Impact of hotel website quality on online booking intentions: eTrust as a mediator. Int J Hosp Manag 47:108–115

    Google Scholar 

  • Wetzels M, Odekerken-Schröder G, van Oppen C (2009) Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Q 33:177–195

    Google Scholar 

  • Yang Y, Mao Z, Tang J (2018) Understanding guest satisfaction with urban hotel location. J Travel Res 57(2):243–259

    Google Scholar 

  • Ye Q, Law R, Gu B, Chen W (2011) The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Hum Behav 27:634–639

    Google Scholar 

  • Zhao X, Wang L, Guo X, Law R (2015) The influence of online reviews to online hotel booking intentions. Int J Contemp Hosp Manag 27(6):1343–1364

    Google Scholar 

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Authors and Affiliations

  1. UCSI University, Kuala Lumpur Campus, 1, Jalan Menara Gading, 56000, Kuala Lumpur, Malaysia

    Lee Yen Chaw

  2. James Cook University, Singapore Campus, 149, Sims Drive, Singapore, 387380, Singapore

    Chun Meng Tang

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  1. Lee Yen Chaw
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  2. Chun Meng Tang
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Correspondence to Chun Meng Tang.

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Chaw, L.Y., Tang, C.M. Online accommodation booking: what information matters the most to users?. Inf Technol Tourism 21, 369–390 (2019). https://doi.org/10.1007/s40558-019-00146-1

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