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Tourists' adoption of self-service technologies at resort hotels

Author

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  • Oh, Haemoon
  • Jeong, Miyoung
  • Baloglu, Seyhmus

Abstract

This study proposes and tests a model of travelers' self-service technology adoption to explain why travelers choose self-service technologies over service staff. Desire for interaction with service staff serves as a countervailing construct against technology-related perceptions and a subsequent technology adoption decision. Based on a resort hotel industry and data from a national sample, the proposed model provides cogent explanations for the two service transaction options' counteracting nature (self-service technologies vs. the service staff) toward the traveler's technology adoption in business transaction situations. The study shows the differently conceptualized role of the customer's desire for interaction. The proposed model allows service providers to examine the customer's willingness to adopt or avoid using self-service technologies and to determine a proper combination of technology and staff deployment.

Suggested Citation

  • Oh, Haemoon & Jeong, Miyoung & Baloglu, Seyhmus, 2013. "Tourists' adoption of self-service technologies at resort hotels," Journal of Business Research, Elsevier, vol. 66(6), pages 692-699.
    • Handle: RePEc:eee:jbrese:v:66:y:2013:i:6:p:692-699
    DOI: 10.1016/j.jbusres.2011.09.005
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    3. Rust, Roland T. & Espinoza, Francine, 2006. "How technology advances influence business research and marketing strategy," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1072-1078, October.
    4. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    5. Lu, Jin-Long & Chou, Hung-Yen & Ling, Pei-Chuan, 2009. "Investigating passengers' intentions to use technology-based self check-in services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(2), pages 345-356, March.
    6. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
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