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Effects of Resistance Barriers to Service Robots on Alternative Attractiveness and Intention to Use

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  • Gyutae Lee
  • Yunsik Kim

Abstract

This study examined the effect of resistance barriers on alternative attractiveness of service robots and intention to use to explain the effect of innovation resistance against such robots on customer behavior. An online survey was conducted with South Korean customers who had used hotel rooms in the past year. This study tested its hypotheses with partial least squares–structural equation modeling. The results indicate that usage barriers related to customers’ familiarity with use and tradition as well as image barriers caused by psychological instability and decreased alternative attractiveness. However, the value and risk barriers based on technological level had no significant effect on alternative attractiveness. The results show that alternative attractiveness increases intention to use; however, alternative attractiveness affected by resistance barriers decreases intention to use. This study broadens the research scope by applying the innovation resistance theory to prior service robot literature with pro-innovation bias. Hospitality managers can refer to these results to design service environments that can lower the resistance barrier against using service robots.

Suggested Citation

  • Gyutae Lee & Yunsik Kim, 2022. "Effects of Resistance Barriers to Service Robots on Alternative Attractiveness and Intention to Use," SAGE Open, , vol. 12(2), pages 21582440221, May.
  • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221099293
    DOI: 10.1177/21582440221099293
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    1. Bonnin, Gaël, 2020. "The roles of perceived risk, attractiveness of the online store and familiarity with AR in the influence of AR on patronage intention," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    2. Sim, C.H. & Gan, F.F. & Chang, T.C., 2005. "Outlier Labeling With Boxplot Procedures," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 642-652, June.
    3. Min-Kyu Kwak & JeungSun Lee & Seong-Soo Cha, 2021. "Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    4. Daeheon Choi & Chune Young Chung & Thou Seyha & Jason Young, 2020. "Factors Affecting Organizations’ Resistance to the Adoption of Blockchain Technology in Supply Networks," Sustainability, MDPI, vol. 12(21), pages 1-37, October.
    5. Picón, Araceli & Castro, Ignacio & Roldán, José L., 2014. "The relationship between satisfaction and loyalty: A mediator analysis," Journal of Business Research, Elsevier, vol. 67(5), pages 746-751.
    6. Inès Chouk & Zied Mani, 2019. "Factors for and against resistance to smart services: role of consumer lifestyle and ecosystem related variables," Post-Print hal-03711784, HAL.
    7. Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
    8. Kuo, Ren-Zong, 2020. "Why do people switch mobile payment service platforms? An empirical study in Taiwan," Technology in Society, Elsevier, vol. 62(C).
    9. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Jeroen Schepers, 2020. "Service robot implementation: a theoretical framework and research agenda," The Service Industries Journal, Taylor & Francis Journals, vol. 40(3-4), pages 203-225, March.
    10. Kyung Hwa Seo & Jee Hye Lee, 2021. "The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    11. Elahe Kordi Ghasrodashti, 2018. "Explaining brand switching behavior using pull–push–mooring theory and the theory of reasoned action," Journal of Brand Management, Palgrave Macmillan, vol. 25(4), pages 293-304, July.
    12. Buil, Isabel & Martínez, Eva & Matute, Jorge, 2016. "From internal brand management to organizational citizenship behaviours: Evidence from frontline employees in the hotel industry," Tourism Management, Elsevier, vol. 57(C), pages 256-271.
    13. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    14. Ezlika Ghazali & Bang Nguyen & Dilip S. Mutum & Amrul Asraf Mohd-Any, 2016. "Constructing online switching barriers: examining the effects of switching costs and alternative attractiveness on e-store loyalty in online pure-play retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 157-171, May.
    15. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
    16. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, December.
    17. Matsuo, Makoto & Minami, Chieko & Matsuyama, Takuya, 2018. "Social influence on innovation resistance in internet banking services," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 42-51.
    18. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    19. Kaur, Puneet & Dhir, Amandeep & Singh, Naveen & Sahu, Ganesh & Almotairi, Mohammad, 2020. "An innovation resistance theory perspective on mobile payment solutions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
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    1. Yunsik Kim, 2023. "Examining the Impact of Frontline Service Robots Service Competence on Hotel Frontline Employees from a Collaboration Perspective," Sustainability, MDPI, vol. 15(9), pages 1-19, May.

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