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Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption

Author

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  • Santiago, Joanna
  • Borges-Tiago, Maria Teresa
  • Tiago, Flávio

Abstract

Humanity has experienced four main technological revolutions; the last two being the digital revolution (Internet) and the emerging artificial intelligence (AI) revolution. With robots, artificial intelligence, and service automation (RAISA) increasingly applied in all industries, knowledge on people's attitudes toward RAISA is limited. Factors affecting RAISA adoption in restaurants, an industry known for its quick adoption of new technology, are largely unknown. This study explores customer attitudes toward robot adoption in restaurants through a quantitative survey of 293 valid respondents. The results, analyzed using partial least squares structural equation modeling (PLS-SEM), show that positive attitudes toward technology, interest in RAISA, perceived relevance, and enjoyment positively impact RAISA adoption. Furthermore, customers' overall attitude toward technology positively affects their intention to use RAISA. Therefore, restaurant owners can start implementing new technologies since consumers are ready to embrace RAISA in restaurants.

Suggested Citation

  • Santiago, Joanna & Borges-Tiago, Maria Teresa & Tiago, Flávio, 2024. "Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  • Handle: RePEc:eee:tefoso:v:199:y:2024:i:c:s0040162523007321
    DOI: 10.1016/j.techfore.2023.123047
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    1. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    2. Kichan Nam & Christopher S. Dutt & Prakash Chathoth & Abdelkader Daghfous & M. Sajid Khan, 2021. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 553-574, September.
    3. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    4. Wang, Yonggui & Hong, Aoran & Li, Xia & Gao, Jia, 2020. "Marketing innovations during a global crisis: A study of China firms’ response to COVID-19," Journal of Business Research, Elsevier, vol. 116(C), pages 214-220.
    5. Alesanco-Llorente, María & Reinares-Lara, Eva & Pelegrín-Borondo, Jorge & Olarte-Pascual, Cristina, 2023. "Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    6. Erdmann, Anett & Mas, José Manuel & de Obesso, Mercedes, 2023. "Disruptive technologies: How to influence price sensitivity triggering consumers’ behavioural beliefs," Journal of Business Research, Elsevier, vol. 158(C).
    7. 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.
    8. Mynttinen, S. & Logrén, J. & Särkkä-Tirkkonen, M. & Rautiainen, T., 2015. "Perceptions of food and its locality among Russian tourists in the South Savo region of Finland," Tourism Management, Elsevier, vol. 48(C), pages 455-466.
    9. Faruk Seyitoğlu & Stanislav Ivanov, 2021. "Service robots as a tool for physical distancing in tourism," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(12), pages 1631-1634, June.
    10. Dwivedi, Yogesh K. & Sharma, Anuj & Rana, Nripendra P. & Giannakis, Mihalis & Goel, Pooja & Dutot, Vincent, 2023. "Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    11. 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.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    13. Lee, Sang M. & Trimi, Silvana, 2021. "Convergence innovation in the digital age and in the COVID-19 pandemic crisis," Journal of Business Research, Elsevier, vol. 123(C), pages 14-22.
    14. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    15. Zhang, Peikang & Qin, Yiming & Liang, Huailiang & Zhou, Liping, 2023. "Robotization and labour demand in post-pandemic era: Microeconomic evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    16. Kunsoon Park & Narang Park & Wookjae Heo, 2018. "Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model," International Business Research, Canadian Center of Science and Education, vol. 11(10), pages 1-9, October.
    17. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    18. Kulshreshtha, Kushagra & Sharma, Gunjan, 2022. "From restaurant to cloud kitchen: Survival of the fittest during COVID-19 An empirical examination," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    19. Qian, Cheng & Zhu, Chun & Huang, Duen-Huang & Zhang, Shangfeng, 2023. "Examining the influence mechanism of artificial intelligence development on labor income share through numerical simulations," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    20. Zhang, Shangfeng & Zhu, Chun & Li, Xiujie & Yu, Xiuwen & Fang, Qi, 2022. "Sectoral heterogeneity, industrial structure transformation, and changes in total labor income share," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    21. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
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