DOI QR코드

DOI QR Code

Attitude of Consumers toward Restaurant Service Robots Based on UTAUT2 Theory

  • JUNG, Se Yeon (Department of Food Science and Service, Eulji University) ;
  • CHA, Seong Soo (Department of Food Science and Service, Eulji University)
  • Received : 2022.01.17
  • Accepted : 2022.02.11
  • Published : 2022.02.28

Abstract

Recently, the use of serving robots has been increasing due to the increase in preference for non-face-to-face services and the rise in the minimum wage due to the coronavirus. When analyzing previous studies related to serving robots, it was confirmed that most of the studies on the functions and technologies of serving robots were conducted. Therefore, this study analyzed the factors affecting the attitude and customer satisfaction of restaurant consumers toward serving robots by adding performance expectations, effort expectations, and speed factors among the UTAUT2 models. The survey period was conducted from July 28, 2021 to September 9, 2021, and 306 out of a total of 310 surveys were used for analysis, excluding 4 unfaithful surveys. For the analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, and hypothesis test were performed using SPSS 20.0 and AMOS 20.0, and the research results are as follows. First, it was found that performance expectation, effort expectation, and speed had a significant positive (+) effect on attitudes. Second, it was found that attitude had a significant positive (+) effect on customer satisfaction. This study researched customer selection attributes of robot service restaurants using the UTAUT2 model, and also provided academic and practical implications.

Keywords

Acknowledgement

This research was supported by 2021 Eulji university 'University Innovation Support Project' grant funded.

References

  1. Anderson, J., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423 https://doi.org/10.1037//0033-2909.103.3.411
  2. Cha, S. S. (2020). Customers' intention to use robot-serviced restaurants in Korea: relationship of coolness and MCI factors. International Journal of Contemporary Hospitality Management. 32(9), 2947-2968 https://doi.org/10.1108/ijchm-01-2020-0046
  3. Cha, S. S., & Lee, S. H. (2018). The effects of HMR selection attributes on repurchase intention by shopping channels. Journal of Distribution Science, 16(3), 13-21. https://doi.org/10.15722/jds.16.3.201803.13
  4. Cha, S. S., & NOH, E. J. (2020). A Study on HMR Selection Attributes and Health Values of College Students. The Journal of Industrial Distribution & Business, 11(10), 17-25. https://doi.org/10.13106/JIDB.2020.VOL11.NO10.17
  5. Cha, S. S., & Seo, B. K. (2019). The effect of brand trust of home meal replacement on repurchasing in online shopping. Asian Journal of Business Environment, 9(3), 21-26.
  6. Cha, S. S., & Seo, B. K. (2020). The effect of food delivery application on Customer Loyalty in Restaurant. Journal of Distribution Science, 18(4), 5-12. https://doi.org/10.15722/jds.18.4.20204.5
  7. Choi, W. S., & Kang, D. Y., & Choi, S. J. (2017). Understanding Factors Influencing Usage and Purchase Intention of a VR Device: An Extension of UTAUT2. Information Society & Media, 18(3), 173-208.
  8. Chung, B. (2018). Comparative Analysis of Technology Acceptance Model : Focusing on UTAUT1 and UTAUT2. Journal of Venture Innovation, 1(2), 109-121 https://doi.org/10.22788/1.2.8
  9. Jang, H. W., & Lee, S. B. (2021). Restaurant customers segmentation based on serving robots" attributes evaluation. Korean Journal of Hospitality & Tourism, 30(1), 49-63. https://doi.org/10.24992/KJHT.2021.1.30.01.49
  10. Jun, S. J., & Kim, H. I.(2020). The effect of untact service experience value on customer satisfaction and reuse intention as the development of food tech. Journal of Hospitality and Tourism Studies, 22(4), 141-155. https://doi.org/10.31667/jhts.2020.12.85.141
  11. Jeong, S. J., & Kim, H. S.(2020). The Influence of Technology-based Self-service(TBSS) Attributes on Consumer Attitude, Customer Satisfaction.FoodService Industry Journal,16(3),233-246. https://doi.org/10.22509/KFSA.2020.16.3.018
  12. Kim, J. E., & Kim S. I., & Lee, S. K. (2019). Food-Related MCN Personal Broadcasting Motivation, Consumer Attitude, Purchase Intention Influence Relation Study -Focused on College Students-. Korea Academic Society of Tourism Management, 34(8), 1-26.
  13. Kim, J. H., & Lee, H. R. (2020). A study on the consumer's acceptance on franchise snack bar Kiosk based on UTAUT2: Focused on the moderating effect of shyness. Korean Journal of Hospitality & Tourism, 29(5), 99-118.
  14. Kim, U. S., & Kim, B. S., & Kim, I. S. (2019). Implementation of Serving Mobile Robot Using ROS. Journal of KIIT, 17(2), 33-43.
  15. Kwak, M. K., & Cha, S. S. (2021). A study on the selection attributes affecting pet food purchase: After COVID-19 Pandemic. International Journal of Food Properties, 24(1), 291-303. https://doi.org/10.1080/10942912.2021.1879133
  16. Kwak, M. K., Lee, J., & Cha, S. S. (2021). Senior consumer motivations and perceived value of robot service restaurants in Korea. Sustainability, 13(5), 2755. https://doi.org/10.3390/su13052755
  17. Lee, S. H. (2018). Hotel Customer's Intention to Use Self Service Technology(SST) : Focused on UTAUT2. Journal of Hotel & Resort, 17(4), 5-24
  18. Lee, W. B. (2018). Popular food tech, competitiveness up!. Food and dining economy. Seoul, Korea, Retrieved January 03, 2018, from http://www.foodbank.co.kr/news/articleView.html?idxno=53901
  19. Namkung, K. C. (2020). A Study on the User Experience of Serving Robot Service. Journal of Digital Art Engineering & Multimedia, 7(1), 63-70 https://doi.org/10.29056/jdaem.2020.03.06
  20. Park, G. H. (2020). The era of robots that COVID-19 has advanced..."55 trillion won restaurant market." Catch it. Money today. Seoul, Korea. Retrieved November 25, 2020, from https://news.mt.co.kr/mtview.php?no=2020112418184289292
  21. Park, H. G.(2016). Foodtech?. Excellence Marketing for Customer, 50(1), 42-50.
  22. Park, Y. S. (2020). Serving robot introduced by restaurant companies... The effect is 'Well..'. Chosun Biz. Seoul, Korea. Retrieved February 06, 2020, from https://biz.chosun.com/site/data/html_dir/2020/02/05/2020020503448.html
  23. Qu, H. Y., & Lee, S. K. (2020). A study on the attitude and intention of reuse of tourism blockchain technology using UTAUT2 model. Korean Journal of Hospitality & Tourism, 29(8), 213-225.
  24. Shim, J. S., & Dong, H. L (2020). The Effect of UTAUT2 and Self-Service Technology on Use Intention and Use Behavior in Internet Primary Bank. Korea Research Academy of Distribution and Management Review, 23(4), 79-94.
  25. Shin, J. U. (2021). Whether it's a restaurant or a hotel, employees disappear...The era of popularization of AI serving robots. Maeil Shinmun. Seoul, Korea. Retrieved September 24, 2021, from https://news.imaeil.com/page/view/2021092416183068233
  26. Shin, T. H. (2018). Oh, a robot serves pizza. Edaily. Seoul, Korea. Retrieved August 08, 2018, from https://www.edaily.co.kr/news/read?newsId=02663366619305352&mediaCodeNo=257&OutLnkChk=Y
  27. Venkatesh, V., & Morris, M. G., & Davis, G. B., & Davis, F. D. (2003). User acceptance of informationtechnology, toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  28. Venkatesh, V., & Thong, J., & Xu, X. (2012). Consumer acceptance & use of information technology, extending the unified theory of accetance & use of technology. MIS Quarterly, 36(1), 157-178 https://doi.org/10.2307/41410412
  29. Yoon, S. H. (2021). "We're growing the size of a serving robot".Woowa Brothers, supplied with 500 units of 3Q. iNews 24. Seoul, Korea. Retrieved October 24, 2021, from https://www.inews24.com/view/1414633
  30. Yun, M. J., & Ko, Y. H. (2020). The Effect of Non-Face-to-Face Service Quality on Satisfaction and Intention of Purchase in Food Service Companies. Culinary Science & Hospitality Research, 26(6), 184-194. https://doi.org/10.20878/CSHR.2020.26.6.017