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Tourists' adoption of self-service technologies at resort hotels

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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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    Cited by:

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    3. Guan, Xinhua & Xie, Lishan & Shen, Wen-Guo & Huan, Tzung-Cheng, 2021. "Are you a tech-savvy person? Exploring factors influencing customers using self-service technology," Technology in Society, Elsevier, vol. 65(C).
    4. Rosenbaum, Mark S. & Wong, IpKin Anthony, 2015. "If you install it, will they use it? Understanding why hospitality customers take “technological pauses” from self-service technology," Journal of Business Research, Elsevier, vol. 68(9), pages 1862-1868.
    5. Collier, Joel E. & Moore, Robert S. & Horky, Alisha & Moore, Melissa L., 2015. "Why the little things matter: Exploring situational influences on customers' self-service technology decisions," Journal of Business Research, Elsevier, vol. 68(3), pages 703-710.
    6. Bailey, Ainsworth Anthony & Bonifield, Carolyn M. & Arias, Alejandro, 2018. "Social media use by young Latin American consumers: An exploration," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 10-19.
    7. Jinsoo Hwang & Hyunjoon Kim, 2020. "The Effects of Expected Benefits on Image, Desire, and Behavioral Intentions in the Field of Drone Food Delivery Services after the Outbreak of COVID-19," Sustainability, MDPI, vol. 13(1), pages 1-13, December.
    8. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    9. Cheng Wang & Jennifer Harris & Paul G Patterson, 2017. "Modeling the habit of self-service technology usage," Australian Journal of Management, Australian School of Business, vol. 42(3), pages 462-481, August.
    10. Chen, Liuyan & Wu, Pengkun & Dou, Yudan & Wu, Yuanyuan, 2023. "Investigating senders’ switching intention to smart lockers: An extension of push-pull-mooring model," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    11. Lin, Chiu Hui & Wu, Chih-Wen & Cheng, Yi-Han, 2015. "The empirical study of consumers' loyalty for display technology," Journal of Business Research, Elsevier, vol. 68(11), pages 2260-2265.
    12. Collier, Joel E. & Barnes, Donald C., 2015. "Self-service delight: Exploring the hedonic aspects of self-service," Journal of Business Research, Elsevier, vol. 68(5), pages 986-993.
    13. Verhulst, Nanouk & Vermeir, Iris & Slabbinck, Hendrik & Larivière, Bart & Mauri, Maurizio & Russo, Vincenzo, 2020. "A neurophysiological exploration of the dynamic nature of emotions during the customer experience," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    14. Cheolho Yoon & Byongcheon Choi, 2020. "Role of Situational Dependence in the Use of Self-Service Technology," Sustainability, MDPI, vol. 12(11), pages 1-11, June.
    15. Cheng-Hua Yang & Huei-Ju Chen & Li-Chu Lin & Alastair M. Morrison, 2020. "The Analysis of Critical Success Factors for In-Town Check-In in Taiwan," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    16. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
    17. Irina V. Kozlenkova & Ju-Yeon Lee & Diandian Xiang & Robert W. Palmatier, 2021. "Sharing economy: International marketing strategies," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(8), pages 1445-1473, October.
    18. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    19. Mohamed Slim Ben Mimoun & Caroline Lancelot Miltgen & Boulbeba Slama, 2022. "Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations," Post-Print hal-03519230, HAL.
    20. Ben Mimoun, Mohamed Slim & Lancelot Miltgen, Caroline & Slama, Boulbeba, 2022. "Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    21. Brush, Gregory J., 2019. "Similarities and differences in Asian and Western travelers’ service performance measurement, evaluation and outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 351-361.
    22. Chun Liu & Kam Hung, 2020. "A comparative study of self-service technology with service employees: a qualitative analysis of hotels in China," Information Technology & Tourism, Springer, vol. 22(1), pages 33-52, March.
    23. Taehyee Um & Taekyung Kim & Namho Chung, 2020. "How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services?," Sustainability, MDPI, vol. 12(12), pages 1-21, June.

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