Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
A Method for Analysing Large-Scale UGC Data for Tourism: Application to the Case of Catalonia Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

The Impact of Attribute Preferences on Adoption Timing of Hotel Distribution Channels: Are OTAs Winning the Customer Race?

verfasst von : Miriam Scaglione, Roland Schegg

Erschienen in: Information and Communication Technologies in Tourism 2015

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Distribution Channels for Travel and Tourism: The Case of Crete
Nächstes Kapitel Travellers’ Intended Future Trip Arrangement Strategies for Things to Do During a Trip: Implications for Travel Distribution
Literatur
Bass, F. M. (1969). A new product growth model for consumer durables. Management Science, 15(5), 215–227.CrossRef
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.CrossRef
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.CrossRef
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.CrossRef
Easingwood, C. J., Mahajan, V., & Muller, E. (1983). A nonuniform influence innovation diffusion model of new product. Marketing Science, 2(3), 273–295.CrossRef
Fisher, J. C., & Pry, R. H. (1971). A simple substitution model of technological change. Technological Forecasting and Social Change, 3, 75–88.CrossRef
Fourt, L. A., & Woodlock, J. W. (1960). Early prediction of market success for new grocery products. Journal of Marketing, 25(25 October), 31–38.CrossRef
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.CrossRef
Islam, T. (2014). Household level innovation diffusion model of photo-voltaic (PV) solar cells from stated preference data. Energy Policy, 65, 340–350.CrossRef
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.CrossRef
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.CrossRef
Kracht, J., & Wang, Y. (2010). Examining the tourism distribution channel: Evolution and transformation. International Journal of Contemporary Hospitality Management, 22(4–5), 736–757.CrossRef
Law, R., & Jogaratnam, G. (2005). A study of hotel information technology applications. International Journal of Contemporary Hospitality Management, 17(2), 170–180.CrossRef
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.CrossRef
Mahajan, V., Muller, E., & Srivastava, R. (1990). Determination of adopter categories by using innovation diffusion models. Journal of Marketing Research, XXVII(February), 37–50.CrossRef
Meade, N., & Islam, T. (2006). Modelling and forecasting the diffusion of innovation-A 25-year review. International Journal of Forecasting, 22(3), 519–545.CrossRef
Morosan, C., & Jeong, M. (2008). Users’ perceptions of two types of hotel reservation web sites. International Journal of Hospitality Management, 27(2), 284–292.CrossRef
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.CrossRef
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.CrossRef
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.CrossRef
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.CrossRef
Scaglione, M., Schegg, R., & Murphy, J. (2009). Website adoption and sales performance in Valais’ hospitality industry. Technovation, 29(9), 625–631.CrossRef
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.CrossRef
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.
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.CrossRef
Toh, R. S., Raven, P., & DeKay, F. (2011). Selling rooms: Hotels vs. third-party websites. Cornell Hospitality Quarterly, 52(2), 181–189.CrossRef
Werthner, H., & Klein, S. (1999). ICT and the changing landscape of global tourism distribution. Electronic Markets, 9(4), 256–262.CrossRef
Metadaten
Titel
The Impact of Attribute Preferences on Adoption Timing of Hotel Distribution Channels: Are OTAs Winning the Customer Race?
verfasst von
Miriam Scaglione
Roland Schegg
Copyright-Jahr
2015
Buch
Information and Communication Technologies in Tourism 2015

Print ISBN: 978-3-319-14342-2

Electronic ISBN: 978-3-319-14343-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-14343-9_49