Research Article

DOI :10.26650/jot.2023.9.1.1191050   IUP :10.26650/jot.2023.9.1.1191050    Full Text (PDF)

The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention

Ahmet ErdemMahmut BarakazıFerhat Şeker

In recent years, it has been seen that technology-based tools have started to take place frequently in our daily lives. This situation is more prominent in organizations such as food and beverage producing human-oriented services. With the increase in technological awareness, it is observed that the tendency of individuals who are curious about creativity and innovation towards businesses that provide smart robotic services is increasing. The aim of this research is to determine the effect of attitude and acceptability of the use of robots in restaurants on behavioral intention. In line with the purpose of the research, relationships were determined with the help of data obtained from the scales developed on the subject. Based on the literature review, five hypotheses were developed. Relationships were tested with the path analysis created within the scope of structural equation modelling. The acceptability of robot use in restaurants by customers has a significant positive effect on behavioral intention, and this variable has the greatest effect on behavioral intention. In addition, “experience” and “advantage” dimensions of attitude towards robot use have significant positive effects, “disadvantage” dimension has a negative effect on behavioral intention. Lastly, according to R-square, 82.6% of behavioural intention is explained by attitudes and acceptability towards the use of robots in restaurants.

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  • Blöcher, K., & Alt, R. (2021). AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry. Electronic Markets, 31(3), 529-551. google scholar
  • Bogue, R. (2009). The role of robots in the food industry: a review. Industrial Robot: An International Journal. google scholar
  • Borghi, M., & Mariani, M. M. (2021), Service robots in online reviews: online robotic discourse. Annals of Tourism Research, 87, p. 103036. doi: 10.1016/j.annals.2020.103036. google scholar
  • Bowen, J., & Whalen, E. (2017). Trends that are changing travel and tourism. Worldwide Hospitality and Tourism Themes. google scholar
  • Cheong, A., Foo, E., Lau, M., Chen, J., & Gan, H. (2015). Development of a Robotics Waiter System for the food and beverage industry. In 3rd International Conference on Advances in Mechanical & Robotics Engineering (pp. 21-25). Newcastle University. 978-1-63248-066-8-57 google scholar
  • Çakar, K., & Aykol, Ş. (2020). Understanding travellers’ reactions to robotic services: a multiple case study approach of robotic hotels. Journal of Hospitality and Tourism Technology, 12(1), 155-174. google scholar
  • de Kervenoael, R., Hasan, R., Schwob, A., & Goh, E. (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. Tourism Management, 78, 104042. https:// google scholar
  • Duchon, F., Hubinsky, P., Hanzel, J., Babinec, A., & Tölgyessy, M. (2012). Intelligent vehicles as the robotic applications. Procedia Engineering, 48, 105-114. proeng.2012.09.492 google scholar
  • El-Said, O., & Al Hajri, S. (2022). Are Customers Happy with Robot Service? Investigating Satisfaction with Robot Service Restaurants during the COVID-19 Pandemic. Heliyon, e08986. google scholar
  • Feddema, J. T., Lewis, C., & Schoenwald, D. A. (2002). Decentralized control of cooperative robotic vehicles: theory and application. IEEE Transactions on robotics and automation, 18(5), 852-864. google scholar
  • Feng, Q. C., & Wang, X. (2020). Design of disinfection robot for livestock breeding. Procedia Computer Science, 166, 310-314. google scholar
  • Fernando, Y., Mathath, A., & Murshid, M. A. (2016). Improving productivity: a review of robotic applications in food industry. International Journal of Robotics Applications and Technologies (IJRAT), 4(1), 43-62. google scholar
  • Ficocelli, M., Terao, J., & Nejat, G. (2015). Promoting interactions between humans and robots using robotic emotional behavior. IEEE transactions on cybernetics, 46(12), 2911-2923. https:// google scholar
  • Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. google scholar
  • Fuste-Fome, F. (2021). Robot chefs in gastronomy tourism: what’s on the menu?. Tourism Management Perspectives, 37, 100774. google scholar
  • Gray, J., & Pekkeriet, E. J. (2016). Flexible robotic systems for automated adaptive packaging of fresh and processed food products. Report on the deliverable 10.3 The Workshops (September 30th 2016): Grant Agreement Number 311987. European Commission google scholar
  • Guan, X., Gong, J., Li, M., & Huan, T. C. (2021). Exploring key factors influencing customer behavioral intention in robot restaurants. International Journal of Contemporary Hospitality Management. google scholar
  • Hajduk, M., Jencik, P., Jezny, J., & Vargovcik, L. (2013). Trends in industrial robotics development. In Applied Mechanics and Materials (Vol. 282, pp. 1-6). Trans Tech Publications Ltd. https://doi. org/10.4028/ google scholar
  • Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall. google scholar
  • Huang, D., Chen, Q., Huang, J., Kong, S., & Li, Z. (2021). Customer-robot interactions: Understanding customer experience with service robots. International Journal of Hospitality Management, 99, 103078. google scholar
  • Hwang, J., Kim, H., Kim, J. J., & Kim, I. (2021). Investigation of perceived risks and their outcome variables in the context of robotic restaurants. Journal of Travel & Tourism Marketing, 38(3), 263-281. google scholar
  • Iqbal, J., Khan, Z. H., & Khalid, A. (2017). Prospects of robotics in food industry. Food Science and Technology, 37, 159-165. google scholar
  • Ivanov, S. H., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501-1517. google scholar
  • Ivanov, S., Webster, C., & Garenko, A. (2018). Young Russian adults’ attitudes towards the potential use of robots in hotels. Technology in Society, 55, 24-32. google scholar
  • Ivanov, S., Seyitoğlu, F., & Markova, M. (2020). Hotel managers’ perceptions towards the use of robots: a mixed-methods approach. Information Technology & Tourism, 22(4), 505-535. https:// google scholar
  • Jain, N. R. K., Liu-Lastres, B., & Wen, H. (2021). Does robotic service improve restaurant consumer experiences? An application of the value-co-creation framework. Journal of Foodservice Business Research, 1-19. google scholar
  • Jang, H. W., & Lee, S. B. (2020). Serving robots: management and applications for restaurant business sustainability. Sustainability, 12(10), 3998. google scholar
  • Kamruzzaman, M., & Tareq, M. (2017). Design and implementation of a robotic technique based waiter. In 2017 3rd International Conference on Electrical Information and Communication Technology (EICT) (pp. 1-5). IEEE. google scholar
  • Kılıçhan, R., & Yılmaz, M. (2020). Artificial intelligence and robotic technologies in tourism and hospitality industry. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (50), 353-380. google scholar
  • Kim, S. H., Yoo, S. R., & Jeon, H. M. (2021). The role of experiential value, novelty, and satisfaction in robot barista coffee shop in South Korea: COVID-19 crisis and beyond. Service Business, 1-20. google scholar
  • Lee, W. H., Lin, C. W., & Shih, K. H. (2018). A technology acceptance model for the perception of restaurant service robots for trust, interactivity, and output quality. International Journal of Mobile Communications, 16(4), 361-376. google scholar
  • Lee-Wingate, S. N., & Xie, Y (2013). The influence of the number of presented symptoms in product claim direct-to-consumer advertising on behavioral intentions. International Journal of Pharmaceutical and Healthcare Marketing, 7(3), 265-284. IJPHM-05-2013-0025 google scholar
  • Li, B. H., Hou, B. C., Yu, W. T., Lu, X. B., & Yang, C. W. (2017). Applications of artificial intelligence in intelligent manufacturing: a review. Frontiers of Information Technology & Electronic Engineering, 18(1), 86-96. google scholar
  • Li, Y., & Wang, C. (2021). Effect of customer’s perception on service robot acceptance. International Journal of Consumer Studies, 1-21. google scholar
  • Lu, L., Zhang, P., & Zhang, T. C. (2021). Leveraging “human-likeness” of robotic service at restaurants. International Journal of Hospitality Management, 94, 102823. https://doi. org/10.1016/j.ijhm.2020.102823 google scholar
  • Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020),. Service robots, customers and service employees: what can we learn from the academic literature and where are the gaps?. Journal of Service Theory and Practice, 30(3), 361-391. https://doi. org/10.1108/JSTP-04-2019-0088 google scholar
  • Luo, J. M., Vu, H. Q., Li, G., & Law, R. (2021). Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews. International Journal of Hospitality Management, 98, 103032.). google scholar
  • Nunnally, J. C. (1970). Introduction to Psychological Measurement. New York, NY, US: McGrawHill. google scholar
  • Park, H., Jiang, S., Lee, O. K. D., & Chang, Y. (2021). Exploring the Attractiveness of Service Robots in the Hospitality Industry: Analysis of Online Reviews. Information Systems Frontiers, 1-21. google scholar
  • RüBmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54-89. google scholar
  • Sandor, J., Kosa, Z., Boruzs, K., Boros, J., Tokaji, I., McKee, M., & Âdany, R. (2017). The decade of Roma Inclusion: did it make a difference to health and use of health care services? International journal of public health, 62(7), 803-815. 10.1007/s00038-017-0954-9 google scholar
  • Scopelliti, M., Giuliani, M. V., & Fornara, F. (2005). Robots in a domestic setting: a psychological approach. Universal access in the information society, 4(2), 146-155. s10209-005-0118-1 google scholar
  • Seo, K. H., & Lee, J. H. (2021). The emergence of service robots at restaurants: Integrating trust, perceived risk, and satisfaction. Sustainability, 13(8), 4431. google scholar
  • Seyitoğlu, F., & Ivanov, S. (2020). Understanding the robotic restaurant experience: a multiple case study. Journal of Tourism Futures. google scholar
  • Seyitoğlu, F., Ivanov, S., Atsız, O., & Çifçi, İ. (2021). Robots as restaurant employees-A doublebarrelled detective story. Technology in Society, 67, 101779. techsoc.2021.101779 google scholar
  • Singh, R., Sain, M., Singh, B., Nagi, H. S., & Bala, N. (2020). Development of a Cost-Effective Beverage and Food-Serving Robot for Hygienically Outcomes and Human Comfort. International Journal of Current Microbiology and Applied Science, 9(5), 247-257. https://doi. org/10.20546/ijcmas.2020.905.028 google scholar
  • Singh, V., Tariyal, A., & Sharma, S. (2021). The Role of Robotic Technology in the Hospitality Industry: A Conceptual Study. Hospitality and Tourism Industry amid COVID-19 Pandemic, 210). Chapter. google scholar
  • Srivastava, P. R., Sengupta, K., Kumar, A., Biswas, B., & Ishizaka, A. (2021). Post-epidemic factors influencing customer’s booking intent for a hotel or leisure spot: an empirical study. Journal of Enterprise Information Management. google scholar
  • Sudari, S., Tarofder, A., Khatibi, A., & Tham, J. (2019). Measuring the critical effect of marketing mix on customer loyalty through customer satisfaction in food and beverage products. Management Science Letters, 9(9), 1385-1396. google scholar
  • Sung, H. J., & Jeon, H. M. (2020). Untact: Customer’s acceptance intention toward robot barista in coffee shop. Sustainability, 12(20), 8598. google scholar
  • Wirtz, J., So, K., Mody, M., Liu, S. and Chun, H. (2019). Platforms in the peer-to-peer sharing Economy. Journal of Service Management, 30(4), 452-483. DOI 10.1108/JOSM-11-2018-0369 google scholar
  • Yuh, J. (1990). Modeling and control of underwater robotic vehicles. IEEE Transactions on Systems, man, and Cybernetics, 20(6), 1475-1483. google scholar
  • Zemke, D. M. V., Tang, J., Raab, C., & Kim, J. (2020). How to build a better robot... for quickservice restaurants. Journal of Hospitality & Tourism Research, 44(8), 1235-1269. https://doi. org/10.1177%2F1096348020946383 google scholar
  • Zeng, Z., Chen, P. J., & Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724-734. 020.1762118 google scholar
  • Zhong, L., Sun, S., Law, R., & Zhang, X. (2020). Impact of robot hotel service on consumers’ purchase intention: a control experiment. Asia Pacific Journal of Tourism Research, 25(7), 780798. google scholar
  • Zhong, L., Zhang, X., Rong, J., Chan, H. K., Xiao, J., & Kong, H. (2020). Construction and empirical research on acceptance model of service robots applied in hotel industry. Industrial Management & Data Systems. 121(6), 1325-1352. google scholar
  • Zhu, D. H., & Chang, Y.P. (2020). Robot with humanoid hands cooks food better? Effect of robotic chef anthropomorphism on food quality prediction. International Journal of Contemporary Hospitality Management, 32(3), 1367-1383, google scholar


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Erdem, A., Barakazı, M., & Şeker, F. (2023). The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention. Journal of Tourismology, 9(1), 1-11.


Erdem A, Barakazı M, Şeker F. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention. Journal of Tourismology. 2023;9(1):1-11.


Erdem, A.; Barakazı, M.; Şeker, F. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention. Journal of Tourismology, [Publisher Location], v. 9, n. 1, p. 1-11, 2023.

Chicago: Author-Date Style

Erdem, Ahmet, and Mahmut Barakazı and Ferhat Şeker. 2023. “The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention.” Journal of Tourismology 9, no. 1: 1-11.

Chicago: Humanities Style

Erdem, Ahmet, and Mahmut Barakazı and Ferhat Şeker. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention.” Journal of Tourismology 9, no. 1 (Dec. 2023): 1-11.

Harvard: Australian Style

Erdem, A & Barakazı, M & Şeker, F 2023, 'The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention', Journal of Tourismology, vol. 9, no. 1, pp. 1-11, viewed 6 Dec. 2023,

Harvard: Author-Date Style

Erdem, A. and Barakazı, M. and Şeker, F. (2023) ‘The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention’, Journal of Tourismology, 9(1), pp. 1-11. (6 Dec. 2023).


Erdem, Ahmet, and Mahmut Barakazı and Ferhat Şeker. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention.” Journal of Tourismology, vol. 9, no. 1, 2023, pp. 1-11. [Database Container],


Erdem A, Barakazı M, Şeker F. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention. Journal of Tourismology [Internet]. 6 Dec. 2023 [cited 6 Dec. 2023];9(1):1-11. Available from: doi: 10.26650/jot.2023.9.1.1191050


Erdem, Ahmet - Barakazı, Mahmut - Şeker, Ferhat. The Effect of Attitude and Acceptability of Robot Use in Restaurants on Behavioral Intention”. Journal of Tourismology 9/1 (Dec. 2023): 1-11.


Published Online03.03.2023


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