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Dual-route communication of destination websites

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  • Tang, Liang (Rebecca)
  • Jang, Soocheong (Shawn)
  • Morrison, Alastair

Abstract

To understand the communication route of destination websites, this study employed the elaboration likelihood model (ELM) which is a dual-route, multi-process model of persuasive message processing. That is, this study proposed a theoretical model for the dual-route persuasive process based on ELM, investigated its antecedents and consequences, and identified the moderating effect of involvement. Structural Equation Modeling (SEM) is used to test the validity of the conceptual model. The results indicate that highly involved people are inclined to elaborate on information (central route), while people with low involvement are likely to make judgments based on simple cues (peripheral route). Website design characteristics are an important antecedent of both central and peripheral-route persuasions. Attitudes resulting from careful consideration via the central route are more predictive of conation and behavior (further information searching and travel intentions) than those formed via the peripheral route. The study provides a foundation for further tourism research investigating the Internet as a persuasive tool, and suggests strategies for website designers.

Suggested Citation

  • Tang, Liang (Rebecca) & Jang, Soocheong (Shawn) & Morrison, Alastair, 2012. "Dual-route communication of destination websites," Tourism Management, Elsevier, vol. 33(1), pages 38-49.
    • Handle: RePEc:eee:touman:v:33:y:2012:i:1:p:38-49
    DOI: 10.1016/j.tourman.2011.01.021
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    2. Hur, Kyungsuk & Kim, Taegoo Terry & Karatepe, Osman M. & Lee, Gyehee, 2017. "An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers," Tourism Management, Elsevier, vol. 63(C), pages 170-178.
    3. Salavati, Shahram & Hashim, Noor Hazarina, 2015. "Website adoption and performance by Iranian hotels," Tourism Management, Elsevier, vol. 46(C), pages 367-374.
    4. Angeloni, Silvia, 2016. "A tourist kit ‘made in Italy’: An ‘intelligent’ system for implementing new generation destination cards," Tourism Management, Elsevier, vol. 52(C), pages 187-209.
    5. Pike, Steven & Page, Stephen J., 2014. "Destination Marketing Organizations and destination marketing: A narrative analysis of the literature," Tourism Management, Elsevier, vol. 41(C), pages 202-227.
    6. Tseng, Shun-Yao & Wang, Ching-Nan, 2016. "Perceived risk influence on dual-route information adoption processes on travel websites," Journal of Business Research, Elsevier, vol. 69(6), pages 2289-2296.
    7. Murphy, Hilary Catherine & Chen, Meng-Mei & Cossutta, Mathieu, 2016. "An investigation of multiple devices and information sources used in the hotel booking process," Tourism Management, Elsevier, vol. 52(C), pages 44-51.
    8. Kafferine Yamagishi & Lanndon Ocampo & Dharyll Prince Abellana & Reciel Ann Tanaid & Ann Myril Tiu & Maria Esther Medalla & Egberto Selerio & Chrisalyn Go & Rey Cesar Olorvida & Amalia Maupo & Deariel, 2021. "The impact of social media marketing strategies on promoting sustainability of tourism with fuzzy cognitive mapping: a case of Kalanggaman Island (Philippines)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14998-15030, October.
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