Abstract
The evolution of distribution channels in the hospitality industry has followed diverse paths over time depending on the technology used. Distribution channels can be clustered into three generations, starting with the pre-WWW era; the middle generation comprising Internet-based direct booking channels and the latest generation including online intermediaries. This research focuses on the comparison of rates of adoption across different generations of distribution channels in the Swiss hotel sector taking into account substitution effects. Data for the study are a series of annual surveys (2002–2013) monitoring the evolution of market shares of 15 individual distribution channels. The objective of this research is the analysis of the evolution of market shares of different generations using multi-generation diffusion methods. Results suggest that decaying traditional and web-based direct channels have low or inexistent imitation effect. This research adds the explanation of mixed effects (innovation and imitation) across generations in the adoption processes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bass, F. M. (1969). A new product growth model for consumer durables. Management Science, 15(5), 215–227.
Bass, F. M., Jain, D., & Khishnan, T. (2000). Modeling the marketing-mix influence in new-product diffusion. In V. Mahajan, E. Muller, & Y. Wind (Eds.), New-product diffusion models. Boston, MA: Kluwer.
Buhalis, D., & Law, R. (2008). Progress in information technology and tourism management: 20 years on and 10 years after the Internet – The state of eTourism research. Tourism Management, 29(4), 609–623.
Card, J. A., Chen, C.-Y., & Cole, S. T. (2003). Online travel products shopping: Differences between shoppers and nonshoppers. Journal of Travel Research, 42(November), 133–139.
Christodoulidou, N., Connolly, D. J., & Brewer, P. (2010). An examination of the transactional relationship between online travel agencies, travel meta sites, and suppliers. International Journal of Contemporary Hospitality Management, 22(7), 1048–1062.
Easingwood, C. J., Mahajan, V., & Muller, E. (1983). A nonuniform influence innovation diffusion model of new product. Marketing Science, 2(3), 273–295.
Fisher, J. C., & Pry, R. H. (1971). A simple substitution model of technological change. Technological Forecasting and Social Change, 3, 75–88.
Fourt, L. A., & Woodlock, J. W. (1960). Early prediction of market success for new grocery products. Journal of Marketing, 25(25 October), 31–38.
Horan, P., & Frew, A. (2005). Electronic distribution effectiveness amongst small and medium-sized enterprises in the hotel sector. Retrieved from http://arrow.dit.ie/tfschmtcon/11
Ip, C., Leung, R., & Law, R. (2011). Progress and development of information and communication technologies in hospitality. International Journal of Contemporary Hospitality Management, 23(4), 533–551.
Islam, T. (2014). Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data. Energy Policy, 65, 340–350.
Islam, T., & Meade, N. (2013). The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation. Energy Policy, 55, 521–530.
Jang, S. S. (2005). The past, present, and future research of online information search. Journal of Travel & Tourism Marketing, 17(2–3), 41–47.
Kang, B., Brewer, K. P., & Baloglu, S. (2007). Profitability and survivability of hotel distribution channels: An industry perspective. Journal of Travel and Tourism Marketing, 22(1), 37–50.
Kracht, J., & Wang, Y. (2010). Examining the tourism distribution channel: Evolution and transformation. International Journal of Contemporary Hospitality Management, 22(4–5), 736–757.
Law, R., & Jogaratnam, G. (2005). A study of hotel information technology applications. International Journal of Contemporary Hospitality Management, 17(2), 170–180.
Li, X., Pan, B., Zhang, L., & Smith, W. W. (2009). The effect of online information search on image development. Journal of Travel Research, 48(1), 45–57. doi:10.1177/0047287508328659.
Lilien, G. L., Rangaswamy, A., & Van Den Bulte, C. (2000). Diffusion models: Managerial applications and software. In V. Mahajan, E. Muller, & Y. Wind (Eds.), New-product diffusion models (pp. 295–336). Dordrecht: Kluwer.
Mahajan, V., & Muller, E. (1996). Timing, diffusion, and substitution of successive generations of technological innovations: The IBM mainframe case. Technological Forecasting and Social Change, 51(2), 109–132.
Mahajan, V., Muller, E., & Srivastava, R. (1990). Determination of adopter categories by using innovation diffusion models. Journal of Marketing Research, XXVII(February), 37–50.
Meade, N., & Islam, T. (2006). Modelling and forecasting the diffusion of innovation-A 25-year review. International Journal of Forecasting, 22(3), 519–545.
Morosan, C., & Jeong, M. (2008). Users’ perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management, 27(2), 284–292.
Norton, J. A., & Bass, F. M. (1987). A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Science, 33(9), 1069–1086.
Norton, J. A., & Bass, F. M. (1992). Evolution of technological generations: The law of capture. Sloan Management Review, 33(2), 66–77. doi:10.1287/mnsc.33.9.1069.
O'Connor, P., & Frew, A. J. (2002). The future of hotel electronic distribution: Expert and industry perspectives. Cornell Hotel and Restaurant Administration Quarterly, 43(3), 33–45.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York, NY: The Free Press.
Runfola, A., Rosati, M., & Guercini, S. (2013). New business models in online hotel distribution: Emerging private sales versus leading IDS. Service Business, 7(2), 183–205.
SAS Institute Inc. (2011). SAS/STAT® 9.22 user’s guide. Cary, NC: SAS Institute Inc.
Scaglione, M., Ismail, A. F., Trabichet, J.-P., & Murphy, J. (2010). An investigation of leapfrogging and Web 2.0 implementation. In U. Gretzel, R. Law, & M. Fuchs (Eds.), Information and communication technologies in tourism 2010 (pp. 441–453). Vienna: Springer.
Scaglione, M., Schegg, R., & Murphy, J. (2009). Website adoption and sales performance in Valais’ hospitality industry. Technovation, 29(9), 625–631.
Schegg, R., & Scaglione, M. (2013). Substitution effects across hotel distribution channels. In Z. Xiang & I. Tussyadiah (Eds.), Information and communication technologies in tourism 2014 (pp. 801–812). Vienna: Springer.
Schegg, R., Scaglione, M., Liebrich, A., & Murphy, J. (2007). Internet use by hospitality SMEs in alpine destinations. In M. Sigala, J. Murphy, & L. Mich (Eds.), Proceedings of the ENTER conference 2007, Ljubljana, Slovenia: Information and communication technologies in tourism 2007 (pp. 469–480). New York, NY: Springer.
Scott, N., Burgess, S., Monday, A., OBrien, P., Baggio, R., Sellitto, C., et al. (2010). Helping tourism SMEs plan and implement information and communication technology. Retrieved September 1, 2013, from http://espace.library.uq.edu.au/view/UQ:226964
Sultan, F., Farley, J. U., & Lehmann, D. R. (1990). A meta-analysis of applications of diffusion models. Journal of Marketing Research, XXVII(February), 70–77.
Toh, R. S., Raven, P., & DeKay, F. (2011). Selling rooms: Hotels vs. third-party websites. Cornell Hospitality Quarterly, 52(2), 181–189.
Werthner, H., & Klein, S. (1999). ICT and the changing landscape of global tourism distribution. Electronic Markets, 9(4), 256–262.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Scaglione, M., Schegg, R. (2015). The Impact of Attribute Preferences on Adoption Timing of Hotel Distribution Channels: Are OTAs Winning the Customer Race?. In: Tussyadiah, I., Inversini, A. (eds) Information and Communication Technologies in Tourism 2015. Springer, Cham. https://doi.org/10.1007/978-3-319-14343-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-14343-9_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14342-2
Online ISBN: 978-3-319-14343-9
eBook Packages: Business and EconomicsBusiness and Management (R0)