全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

Investigating Multiple Devices Used in the Hotel Reservation Process

DOI: 10.4236/oalib.1104811, PP. 1-14

Subject Areas: Public Health

Keywords: Hotel Reservation, Smartphone, Multi Devices, Channel Management

Full-Text   Cite this paper   Add to My Lib

Abstract

With the growing ownership of multiple technology devices, and the contribution of mobile travel bookings to the overall travel market, it is critical to investigate the hotel searching and booking process for different device users. This research investigates four categories of device users via a survey with 383 respondents, in the context of search behaviour and information sources used. The results reveal that search engines and family and friends are the most frequently used information sources while the personal computer (PC) is the most used device for both searching and booking. However, there is a significant difference in how these device users engage with information sources, specifically online travel agents (OTAs) and search engines. Furthermore, device users favor one device and are unlikely to switch devices during the search process.

Cite this paper

Ko, C. (2018). Investigating Multiple Devices Used in the Hotel Reservation Process. Open Access Library Journal, 5, e4811. doi: http://dx.doi.org/10.4236/oalib.1104811.

References

[1]  Walsh, C.S. (2017) Mobile to Represent over One Quarter of U.S. Online Travel Market by 2018.
http://www.phocuswright.com/research_updates/
mobile-to-represent-over-one-quarter-of-us-online
-travel-market-by-2018
[2]  Google and Ipsos MediaCT (2014) The 2014 Traveler’s Road to Deci-sion.
https://www.thinkwithgoogle.com/consumer-insights/
2014-travelers-road-to-decision/
[3]  Heg-gestuen, J. (2013) One in Every 5 People in the World Own a Smartphone, One in Every 17 Own a Tablet. Business Insider.
https://www.businessinsider.com.au/smartphone-and
-tablet-penetration-2013-10
[4]  Murphy, H. and Chen, M.M. (2014) Online Information Sources Used in Hotel Bookings: Examining Relevance and Recall. Journal of Travel Research, 55, 523-536.
https://doi.org/10.1177/0047287514559033
[5]  Benckendorff, P.J., Sheldon, P.J. and Fesenmaier, D.R. (2014) Social Media and Tourism. In: Tourism Information Technology, 2nd Edition, 120-147.
https://doi.org/10.1079/9781780641850.0120
[6]  Jun, S.H. and Vogt, C.A. (2013) Travel Information Processing Applying a Dual-Process Model. Annals of Tourism Research, 40, 191-212.
https://doi.org/10.1016/j.annals.2012.09.001
[7]  Filieri, R. and McLeay, F. (2014) E-WOM and Accommodation an Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews. Journal of Travel Research, 53, 44-57.
https://doi.org/10.1177/0047287513481274
[8]  Wang, D., Xiang, Z. and Fesenmaier, D.R. (2014) Adapting to the Mobile World: A Model of Smartphone Use. Annals of Tourism Research, 48, 11-26.
https://doi.org/10.1016/j.annals.2014.04.008
[9]  Eriksson, N. (2014) User Categories of Mobile Travel Services. Journal of Hospitality and Tourism Technology, 5, 17-30. https://doi.org/10.1108/JHTT-10-2012-0028
[10]  Fesenmaier, D.R., Xiang, Z., Pan, B. and Law, R. (2011) A Framework of Search Engine Use for Travel Planning. Journal of Travel Research, 50, 587-601.
https://doi.org/10.1177/0047287510385466
[11]  Jacobsen, J.K.S. and Munar, A.M. (2012) Tourist Information Search and Destination Choice in a Digital Age. Tourism Management Perspectives, 1, 39-47.
https://doi.org/10.1016/j.tmp.2011.12.005
[12]  Verma, R., Stock, D. and McCarthy, L (2012) Customer Preferences for Online, Social Media, and Mobile Innovations in the Hospitality Industry. Cornell Hospitality Quarterly, 53, 183-186.
https://doi.org/10.1177/1938965512445161
[13]  Anderson, C.K. (2011) Search, OTAs, and Online Booking: An Expanded Analysis of the Billboard Effect. Cornell Hospitality Report, 11, 4-10.
[14]  Rosoff, M. (2014) Here’s How Dominant Google Is in Europe.
https://www.businessinsider.com/heres-how-dominant-g
oogle-is-in-europe-2014-11
[15]  Walsh, C.S. (2016) Mobile Travel Strategy Shakeup Ahead as Tablet Adoption Nears 50%.
http://www.phocuswright.com/research_updates/mobile-t
ravel-strategy-shakeup-ahead-as-tablet-adoption-nears-50s
[16]  Lamsfus, C., Wang, D., Alzua-Sorzabal, A. and Xiang, Z. (2014) Going Mobile Defining Context for On-the-Go Travelers. Journal of Travel Research, 54, 691-701.
[17]  Kim, D.Y., Park, J. and Morrison, A.M. (2008) A Model of Traveller Acceptance of Mobile Technology. International Journal of Tourism Research, 10, 393-407.
https://doi.org/10.1002/jtr.669
[18]  Peres, R., Correia, A. and Moital, M. (2011) The Indicators of Intention to Adopt Mobile Electronic Tourist Guides. Journal of Hospitality and Tourism Technology, 2, 120-138.
https://doi.org/10.1108/17579881111154236
[19]  Wang, D., Park, S. and Fesenmaier, D.R. (2012) The Role of Smartphones in Mediating the Touristic Experience. Journal of Travel Research, 51, 371-387.
https://doi.org/10.1177/0047287511426341
[20]  Okazaki, S., Campo, S., Andreu, L. and Romero, J. (2014) A Latent Class Analysis of Spanish Travelers’ Mobile Internet Usage in Travel Planning and Execution. Cornell Hospitality Quarterly, 56, 191-201.
[21]  MacKay, K. and Vogt, C. (2012) Information Technology in Everyday and Vacation Contexts. Annals of Tourism Research, 39, 1380-1401.
https://doi.org/10.1016/j.annals.2012.02.001
[22]  Collis, J. and Hussey, R. (2009) Business Research: A Practical Guide for Undergraduate and Postgraduate Students. 3rd Edition, Palgrave Macmillan, Basingstoke.
[23]  Chang, H.H. and Chen, S.W. (2008) The Impact of Online Store Environment Cues on Purchase Intention: Trust and Perceived Risk as a Mediator. Online Information Review, 32, 818-841.
https://doi.org/10.1108/14684520810923953
[24]  Gabor, M.R. (2007) Types of Non-Probabilistic Sampling Used in Marketing Research, Snowball Sampling. Management & Marketing (Bucharest), 3, 80-90.
[25]  Schegg, R., Stangl, B., Fux, M. and Inversini, A. (2013) Distribution Channels and Management in the Swiss Hotel Sector. Springer, Heidelberg Berlin, 554-565.
https://doi.org/10.1007/978-3-642-36309-2_47
[26]  Litvin, S.W., Goldsmith, R.E. and Pan, B. (2008) Electronic Word-of-Mouth in Hospitality and Tourism Management. Tourism Management, 29, 458-468.
https://doi.org/10.1016/j.tourman.2007.05.011
[27]  O’Connor, P. and Frew, A.J. (2002) The Future of Hotel Electronic Distribution: Expert and Industry Perspectives. The Cornell Hotel and Restaurant Administration Quarterly, 43, 33-45.
https://doi.org/10.1016/S0010-8804(02)80016-7

Full-Text


comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413