DOI QR코드

DOI QR Code

The Effect of Serving Robots on Attitude and Behavioral Intention of Restaurant Customers: Focused on UTAUT2 and Moderating Effect of Shyness

서빙로봇이 레스토랑 이용고객의 태도 및 행동의도에 미치는 영향: 확장된 통합기술수용이론과 수줍음의 조절효과를 중심으로

  • Sung Rae KANG (Pusan National University, Department of Tourism & Convention) ;
  • Sang Ho HAN (Youngsan University, Department of Food Service Management) ;
  • So Hye BAE (Pusan National University, Department of Tourism & Convention) ;
  • Yeo Hyun YOON (Youngsan University, Department of Hotel and Tourism Management)
  • Received : 2024.05.19
  • Accepted : 2024.06.18
  • Published : 2024.06.30

Abstract

Purpose: Nowadays, many restaurants use serving robots. Initially, many people thought that Covid-19 caused the spread of serving robots. However, even as the endemic, many restaurants still use serving robots. Therefore, this study examines why many customers choose restaurants with serving robots, using the UTAUT2 framework. Additionally, this study explores whether shyness has a moderating effect on these factors. Research design, data and methodology: Data were collected from 307 consumers who had visited a restaurant using a serving robot and analyzed using SmartPLS 4.0 software. A total of 286 datasets were analyzed. Result: We found that the precedence factors of UTAUT2 (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Hedonic Motivation) had a positive effect on attitude. Furthermore, attitude had a significant positive effect on Behavioral Intention. However, shyness did not appear to have a moderating effect among these factors. This is likely due to customers using serving robots for very short time, as identified in the literature review. Conclusions: As a result of this study, it was explained that Hedonic Motivation had the most significant positive effect on shaping attitudes toward restaurants using serving robots through the UTAUT2 model.

Keywords

References

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
  2. Aron, E. N., Aron, A., & Davies, K. M.(2005). Adult shyness: The interaction of temperamental sensitivity and an adverse childhood environment. Personality and Social Psychology Bulletin, 31(2), 181-197. https://doi.org/10.1177/0146167204271419
  3. Bae, S. H., Park, H. N., Kang, S. R., & Han, S. H. (2023). How usage motivation regarding serving robots affect customer attitudes and intent to revisit restaurants. FoodService Industry Journal, 19(6), 281-295.
  4. Bak, S, J. (2017). [1 Economy] Eating alone is also a meal... A high-end restaurant that increases single-person seating. Maeil Business News paper, Apr 06, 2017. Retrieved from https://www.mk.co.kr/news/economy/7775189
  5. Belsky, J. (1997). Variation in susceptibility to rearing influences: An evolutionary argument. Psychological Inquiry, 8(3), 182-186. https://doi.org/10.1207/s15327965pli0803_3
  6. Belsky, J., Bakermans-Kranenburg, M. J., & Van IJzendoorn, M. H. (2007). For better and for worse: Differential susceptibility to environmental influences. Current Directions in Psychological Science, 16(6), 300-304. https://doi.org/10.1111/j.1467-8721.2007.00525.x
  7. Bian, Y., Han, L., Zhou, C., Chen, Y., Gao, F. (2015). The proteus effect in virtual reality social environments: influence of situation and shyness. Acta Psychologica Sinica, 47(3), 363-374. https://doi.org/10.3724/SP.J.1041.2015.00363
  8. Bolton, R. N. (1998). A dynamic model of the duration of the customer's relationship with a continuous service provider: the role of satisfaction. Marketing Science, 17, 45-65. https://doi.org/10.1287/mksc.17.1.45
  9. Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in the household: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(4), 399-426. https://doi.org/10.2307/25148690
  10. Byun, H., Cho, K. M., & Bae, J. S. (2017). Analysis of online sports media use behavior of university students applying UTAUT2 model. Korean Journal of Sport Science, 28(2), 424-439. https://doi.org/10.24985/kjss.2017.28.2.424
  11. Capek, K. (2001). R.U.R.: Rossum's universal robots. London: Dover Publications.
  12. Cheek, J. M., & Buss, A. H. (1981). Shyness and sociability. Journal of Personality and Social Psychology, 41, 330-339. https://doi.org/10.1037/0022-3514.41.2.330
  13. Chin, W. W. (2009). How to write up and report PLS analyses. In Handbook of partial least squares: Concepts, methods and applications (pp. 655-690). Berlin, Heidelberg: Springer Berlin Heidelberg.
  14. Cho, H. H. (2012). Study on influence of perceived quality factor of smartphone on satisfaction & continued use intention - From the standpoint of updated Delone & Mclean's information system success model -. Entrue Journal of Information Technology, 11(2), 167-180.
  15. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Earlbaum Associates, 20-26.
  16. Cole, S. T., & Scott, D. (2004). Examining the mediating role of experience quality in a model of tourist experiences. Journal of Travel & Tourism Marketing, 16(1), 79-90. https://doi.org/10.1300/J073v16n01_08
  17. Coulter, K. S., & Coulter, R. A. (2007). Distortion of price discount perceptions: The right digit effect. Journal of Consumer Research, 34(2), 162-173.
  18. Cronin, J. J., Jr, Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218. https://doi.org/10.1016/S0022-4359(00)00028-2
  19. Cui, C., & Seo, S. H. (2018). A comparative study of influencing factors to use mobile delivery applications based on the UTAUT model. Journal of Tourism Sciences, 42(3), 97-119.
  20. Davis, F. D. (1989), Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  21. Doh, H. S. (1996). The relationship of shyness, interpersonal adjustment, and peer acceptance to loneliness in children. Korean Journal of Child Studies, 17(2), 33-45.
  22. Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich college publishers.
  23. Fishbein, M., & Ajzen, I. (1977), Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 130-132.
  24. Go, H. Y., Kang, M. H., & Suh, S. C. (2020). Machine learning of robots in tourism and hospitality: Interactive technology acceptance model (iTAM)-cutting edge. Tourism Review. 75(4), 625-636. https://doi.org/10.1108/TR-02-2019-0062
  25. Hair Jr, F. J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106-121.
  26. Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). (2nd ed.). Thousand Oaks, CA: Sage publications.
  27. Han, H. S., & Chong, Y. J. (2022). The effect of customer-innovativeness and technological-innovativeness on attitudes and behavioral intentions toward technology-based self-service: focusing on restaurants that provide robot services. Journal of Hospitality and Tourism Studies, 24(6), 43-57. https://doi.org/10.31667/jhts.2022.12.95.43
  28. Han, H. S. & Hyun, S. S. (2017). Impact of hotel-restaurant image and quality of physical-environment, service, and food on satisfaction and intention. International Journal of Hospitality Management, 63, 82-92.
  29. Han, J. G., Lee, D. H., & Kim, J. S. (2020). Moderating effect of shyness on the association between maternal communication and well-being among upper elementary school students based on differential susceptibility model. Asian Journal of Education, 21(4), 953-974. https://doi.org/10.15753/aje.2020.12.21.4.953
  30. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
  31. Hwang, J. S., Kim, H. T., Kim, J. J., & Kim, I. S. (2021). Investigation of perceived risks and their outcome variables in the context of robotic restaurants. Journal of Travel & Tourism Marketing, 38(3), 263-281. https://doi.org/10.1080/10548408.2021.1906826
  32. Hwang, J. S., Park, S. G, & Kim, I. S. (2020). Understanding motivated consumer innovativeness in the context of a robotic restaurant: The moderating role of product knowledge. Journal of Hospitality and Tourism Management, 44, 272-282.
  33. Ivanov, S., & Webster, C. (2019). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065-1085. https://doi.org/10.1177/1354816619879583
  34. 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
  35. Jang, W. J. (2020). A study on current status and prospects of global food-tech industry. Journal of the Korea Convergence Society, 11(4), 247-254. https://doi.org/10.15207/JKCS.2020.11.4.247
  36. Jani, D., & Han, H. S. (2011). Investigating the key factors affecting behavioral intentions. International Journal of Contemporary Hospitality Management, 23(7), 1000-1018.
  37. Jeon, H. M., & Choi, H. M. (2017). Consumer's acceptance on mobile delivery app service - Focused on UTATU2. FoodService Industry Journal, 13(1), 67-82. https://doi.org/10.22509/kfsa.2017.13.1.006
  38. Jeong, E. Y. (2019). A study on the intention to reuse mobile airline application: An application of the unified theory of acceptance and use of technology 2(UTAUT 2) model. Tourism Management Research, 23(2), 719-735.
  39. Jeong, J. E., & Kim, C. A. (2017). A study of relationship among demographic characteristics, hotel buffet restaurants' selection attributes, satisfaction, and recommendation intention. Journal of Tourism and Leisure Research, 29(9), 165-184.
  40. Jo, S. J. (2023). The effect of food tech based robot barista cafe experiential value on customer satisfaction and revisit intention - Focused on moderating role of the recommendation intentions-. Journal of the Korea Contents Association, 23(5), 193-204. https://doi.org/10.5392/JKCA.2023.23.05.193
  41. Jo, S. R. (2024). The age of robots serving and delivering... 248 trillion market opens. Chosun Biz, Feb 08, 2024, Retrieved from https://biz.chosun.com/it-science/ict/2024/02/08/QFUDYC5UT5FT7GJDHGI3N5SO4E/?utm_source=naver&utm_medium=original&utm_campaign=biz
  42. Jorling, M., Bohm, R., & Paluch, S. (2019). Service robots: Drivers of perceived responsibility for service outcomes. Journal of Service Research, 22(4), 404-420. https://doi.org/10.1177/1094670519842334
  43. Kang, H. C., & Oh, M. S. (2020). Mixed-use smart tourism service brand based on new technology of the fourth industrial revolution. A Journal of Brand Design Association of Korea, 18(3), 267-276. https://doi.org/10.18852/BDAK.2020.18.3.267
  44. Kang, H. S., & Lee, Y. O. (2020). A theoretical review on the untact of the COVID-19 period hospitality industry services. Journal of the Korea Entertainment Industry Association, 14(7), 161-173. https://doi.org/10.21184/jkeia.2020.10.14.7.161
  45. Kang, H. S., Hur, J. G., & Kim, H. J. (2021). Impact of the food service industry's untact marketing services on quality of service, customer relationship and corporate trust. Culinary Science & Hospitality Research, 27(1), 15-28.
  46. Kim, B. Y., Jun, J. H., & Han, S. H. (2018). The effects of nonverbal communication of restaurant employees on customer emotion, customer satisfaction, customer trust, and revisit intention. Korean Journal of Franchise Management, 9(3), 45-55. https://doi.org/10.21871/KJFM.2018.09.9.3.45
  47. Kim, D, H. (2022). Bobae Banjeom opens a Bangbae store with a unique interior concept., Incheonilbo, Oct 19, 2022, Retrieved from https://www.incheonilbo.com/news/articleView.html?idxno=1165818.
  48. Kim, J. H., & Kim, W. S. (2022). A study on nonverbal communication framework considering customer contact point of food and beverage store of serving robot. Journal of Cultural Product & Design, 71, 55-72
  49. 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.
  50. Kim, J. S., & Lee, K. J. (2021). A study on the influencing relationship between covid-19 risk perception, smart tourism recognition, smart tourism attitude, and behavioral intention. FoodService Industry Journal, 17(1), 147-161. https://doi.org/10.22509/KFSA.2021.17.1.010
  51. Kim, K. S,, & Moon, B. Y. (2018). The effect of participation's nostalgia on related tour program preference and revisit intention in taekwondo event. Journal of Tourism and Leisure Research, 30(6), 117-132. https://doi.org/10.31336/JTLR.2018.06.30.6.117
  52. Kim, N. D., Jeon, M. K., Lee, H. E., Lee, J. Y., Choi, J. H, Seo, Y. H., & Lee, S. J. (2018) TREND KOREA 2018. Seoul: Miraebook.
  53. Korea Association of Robot industry (2023). 2022 Survey Results Report on Robot Industry. Ministry of Trade, Industry and Energy.
  54. Kwak, B. S., & Lee, J. S. (2015). The structural relationship of the experiential marketing attributes, emotional reaction, brand attitude, and behavior intention in restaurants. Tourism Research, 40(2), 109-129.
  55. Kwon, J. H., (2023). Minimum wage increased by 2.5% to KRW 9,860 in 2024. Ablenews, July 19, 2003, Retrieved from https://www.ablenews.co.kr/news/articleView.html?idxno=205663
  56. Kwon, A. M., & Namkung, Y. (2023). A study on the customers' attitude and behavioral intention toward technology acceptance of restaurants based on UTAUT2. Korean Journal of Hospitality and Tourism, 32(4), 71-90. https://doi.org/10.24992/KJHT.2023.8.32.04.71
  57. Kwon, Y. G., & Kim, S. K. (2014). A study on the influences of teenagers' shyness on their anger-out: through the mediating effect of self-esteem. Korean Journal of Youth Studies, 21(2), 89-114.
  58. Lee, J. H. (2021). Untact culture and untact marketing : comparison of trends between Korea and Japan. Japanese Cultural Studies, 78, 183-196. https://doi.org/10.18075/jcs..78.202104.183
  59. Lee, J. S., Hsu, L. T., Han, H. S., & Kim, Y. H. (2010). Understanding how consumers view green hotels: How a hotel's green image can influence behavioral intentions. Journal of Sustainable Tourism, 18(7), 901-914. https://doi.org/10.1080/09669581003777747
  60. Li, J. J., Bonn, M. A., & Ye, B. H. (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172-181.
  61. Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS quarterly, 705-737.
  62. Meleshko, K. G. A., & Alden, L. E. (1993), Anxiety and self-disclosure: Toward a motivational model. Journal of Personality and Social Psychology, 64, 1000-1009. https://doi.org/10.1037/0022-3514.64.6.1000
  63. Namkung, K. (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
  64. Noh, G.-E., & Lee, H. R. (2021). The effect of technology-based self-service (TBSS) on the satisfaction and intention to use of franchise restaurant customers: Focused on UTAUT2. Journal of Tourism and Leisure Research, 33(11), 263-284.
  65. Nysveen, H., Pedersen, P. E., & Thorbjornsen, H. (2005). Intentions to use mobile services: antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346. https://doi.org/10.1177/0092070305276149
  66. Oh, C. H., & Kim, D. S. (2021). Effect of coffee shop menu quality and service quality on revisit intention. Culinary Science & Hospitality Research, 27(8), 191-200.
  67. Oppermann, M. (1997). First-time & repeat visitors to New Zealand. Tourism Management, 18(3), 177-181. https://doi.org/10.1016/S0261-5177(96)00119-7
  68. Oppermann, M. (2000). Tourism destination loyalty, Journal of Travel Research, 39(1), 78-84. https://doi.org/10.1177/004728750003900110
  69. Ostrom, A. L., Parasuraman, A., Bowen, D. E., Patricio, L., & Voss, C. A. (2015). Service research priorities in a rapidly changing context. Journal of Service Research, 18(2), 127-159. https://doi.org/10.1177/1094670515576315
  70. Park, E. H. (2024). 8 out of 10 franchisees "burden of raising minimum wage"...47% "franchises help overcome pandemic". Digital Times, Jan 04 2024, Retrieved from https://www.dt.co.kr/contents.html?article_no=2024010402109932057001&ref=naver
  71. Park, S. W. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 102888.
  72. Pilkonis, P. A. (1977), Shyness, public and privates, and its relationship to other measures of social behavior. Journal Personality, 45, 585-595.
  73. Pritchard, M. P.(2003). The attitudinal and behavioral consequences of destination performance. Tourism Analysis, 8, 61-73. https://doi.org/10.3727/108354203108750175
  74. Qu, H., & 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.
  75. Shin, M. S. (2023). Baemin Serving Robot is the first in the industry to win the 2023 Brand of the Year Award. NBNews, Sep 05, 2023, Retrieved from https://www.nbnews.kr /news/articleView.html?idxno=77418
  76. Smyth, P. (2019). London restaurant chain becomes first in the UK and Europe to hire a Robotic Waitress. LondonlovesBusiness, Jul 29, 2019. Retrieved from https://londonlovesbusiness.com/london-restaurant-chain-becomes-first-in-the-uk-and-europe-to-hire-a-robotic-waitress.
  77. Song, J. W. (2019). A study on usage intention of technology-based self-service (TBSS) of food service companies: Focus on innovation resistance model. Journal of Hospitality and Tourism Studies, 21(3), 176-188. https://doi.org/10.31667/jhts.2019.9.80.176
  78. Stritzke, W. G. K., Nguyen, A. & Durkin, K. (2004), Shyness and computer-mediated communication: A self-presentational theory perspective, Media Psychology, 6, 1-22. https://doi.org/10.1207/s1532785xmep0601_1
  79. Sung, H.J., & Kim, H. Y. (2018). The study on market segmentation based on eating-alone motivation. Journal of Foodservice Management, 21(5), 55-73.
  80. Tsarouchi, P., Makris, S., & Chryssolouris, G. (2016). Human-Robot interaction review and challenges on task planning and programming. International Journal of Computer Integrated Manufacturing, 29(8), 916-931.
  81. Tung, V. W. S., & Law, R. (2017). The potential for tourism and hospitality experience research in human-robot interactions. International Journal of Contemporary Hospitality Management, 29(10), 2498-2513. https://doi.org/10.1108/IJCHM-09-2016-0520
  82. Tussyadiah, I. P., Zach, F. J., & Wang, J. (2020). Do travelers trust intelligent service robots?. Annals of Tourism Research, 81, 102886.
  83. van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695-704. https://doi.org/10.2307/25148660
  84. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
  85. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
  86. Woo, M. J., & Bae, Y. M. (2019). The Relationship between Young Children's Shyness and Depression - Focusing on the Mediation Effect of Their Self-Resilience -. Early Childhood Education Research & Review, 23(1), 311-328.
  87. Woo, Y. S., Lee, J, H., & Park Y. H. (2012). Bakery cafe physical environment, brand image and revisit the impact of relationship. Journal of Industrial Innovation, 28(4), 241-264.
  88. Yi, Y., & Gong, T. (2008). The effects of customer justice perception and affect on customer citizenship behavior and customer dysfunctional behavior. Industrial Marketing Management, 37(7), 767-783. https://doi.org/10.1016/j.indmarman.2008.01.005
  89. Yoon. J. S. (2018). The influence of event quality on festival value, satisfaction and recommend intention as perceived by centum beer festival participants. Culinary Science & Hospitality Research, 24(10), 129-136. https://doi.org/10.20878/cshr.2018.24.10.014
  90. Zimbardo, P., Pilkonis, P., & Norwood, R. (1974). The silent prison of shyness. Standard, CA: Stanford University.