Acknowledgement
이 논문은 2023년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2023S1A5C2A03095253)
References
- Kim, B.G.(2013). Effects of Leadership Type of Hotel Enterprises on Job Satisfaction and Turnover Intention, Journal of Tourism Sciences, 37(1), 237-258.
- Lee, J.T. and Kim, H.C.(2011). The Structural Relationship of Emotional Labor, Job Stress, Job Burnout, and Turnover Intention: A Case of Customer Contact Employees in Family Restaurant, Journal of Tourism and Leisure Research, 23(3), 299-317.
- Han, H.J. and Lee, Y.C.(2018). An Exploratory Research on Recognition of Artificial Intelligence(AI) and Robot Service by Henn_na Hote, Journal of Hotel and Resort, 17(2), 5-22.
- Korean Employment Information Service(2016). 2016 Job information of Korea: 2016 KNOW Research Reports, 75-80.
- Aghaei, S., Nematbakhsh, M.A., and Farsani, H.K. (2012). Evolution of the world wide web: From WEB 1.0 TO WEB 4.0. International Journal of Web & Semantic Technology, 3(1), 1-10.
- Acemoglu, D. and Restrepo, P.(2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188-2244. https://doi.org/10.1086/705716
- Arogundade, O.T. and Arogundade, A.B.(2015). Psychological empowerment in the workplace: Implications for employees' career satisfaction. North American Journal of Psychology, 17(1), 27-27.
- Bandura, A.(2006). Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents, 5(1), 307-337.
- Bowles, J., Quintino, M. T., and Brunner, N.(2014). Certifying the dimension of classical and quantum systems in a prepare-and-measure scenario with independent devices. Physical Review Letters, 112(14), 140407.
- Brougham, D. and Haar, J.(2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees' perceptions of our future workplace. Journal of Management & Organization, 24(2), 239-257. https://doi.org/10.1017/jmo.2016.55
- Burnham, T. A., Frels, J. K., and Mahajan, V.(2003). Consumer switching costs: A typology, antecedents, and consequences. Journal of the Academy of Marketing Science, 31(2), 109-126. https://doi.org/10.1177/0092070302250897
- Chan, A.P.H. and Tung, V.W.S.(2019). Examining the effects of robotic service on brand experience: the moderating role of hotel segment. Journal of Travel & Tourism Marketing, 36(4), 458-468. https://doi.org/10.1080/10548408.2019.1568953
- Chui, M., Manyika, J., and Miremadi, M.(2015). Four fundamentals of workplace automation. McKinsey Quarterly, 29(3), 1-9.
- Duke, A.B., Goodman, J.M., Treadway, D.C., and Breland, J.W.(2009). Perceived organizational support as a moderator of emotional labor/outcomes relationships. Journal of Applied Social Psychology, 39(5), 1013-1034. https://doi.org/10.1111/j.1559-1816.2009.00470.x
- Field, A.P.(2005). Is the meta-analysis of correlation coefficients accurate when population correlations vary?. Psychological Methods, 10(4), 444.
- Fornell, C. and Larcker, D.F.(1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18, 382-388 https://doi.org/10.1177/002224378101800313
- Gabriel, M. and Pessl, E.(2016). Industry 4.0 and sustainability impacts: Critical discussion of sustainability aspects with a special focus on future of work and ecological consequences. Annals of the Faculty of Engineering Hunedoara, 14(2), 13.
- Gim, G.C., Desa, N.M., and Ramayah, T.(2015). Competitive psychological climate and turnover intention with the mediating role of affective commitment. Procedia-Social and Behavioral Sciences, 172, 658-665. https://doi.org/10.1016/j.sbspro.2015.01.416
- Hair, J.F., Ringle, C.M., and Sarstedt, M.(2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
- Ivanov, S. and Webster, C.(2017). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies - a cost-benefit analysis. International Scientific Conference "Contemporary tourism - traditions and innovations", 19-21 October 2017, Sofia University.
- Jones, M.A., Mothersbaugh, D.L., and Beatty, S.E. (2002). Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441-450. https://doi.org/10.1016/S0148-2963(00)00168-5
- Kim, H.W. and Kankanhalli, A.(2009). Investigating user to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3), 567-582. https://doi.org/10.2307/20650309
- Kim, H.W., Noh, S. E., Lee, H.L., and Kwahk, K.Y. (2009). The effect of switching costs on user resistance in the adoption of open source software. Information Systems Review, 11(3), 125-146.
- Lestari, N.S., Rosman, D., and Putranto, T.S.(2021). The Relationship Between Robot, Artificial Intelligence, and Service Automation (RAISA) Awareness, Career Competency, and Perceived Career Opportunities: Hospitality Student Perspective. 2021 International Conference on Information Management and Technology, 1, 690-695.
- Lu, L., Cai, R., and Gursoy, D.(2019). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36-51. https://doi.org/10.1016/j.ijhm.2019.01.005
- Li, J.J., Bonn, M.A., and 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. https://doi.org/10.1016/j.tourman.2019.02.006
- McCollough, M.A., Berry, L.L., and Yadav, M.S. (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of Service Research, 3(2), 121-137. https://doi.org/10.1177/109467050032002
- Migacz, S.J., Zou, S., and Petrick, J.F.(2018). The "terminal" effects of service failure on airlines: Examining service recovery with justice theory. Journal of Travel Research, 57(1), 83-98. https://doi.org/10.1177/0047287516684979
- Murphy, J., Gretzel, U., and Pesonen, J.(2019). Marketing robot services in hospitality and tourism: the role of anthropomorphism. Journal of Travel & Tourism Marketing, 36(7), 784-795. https://doi.org/10.1080/10548408.2019.1571983
- Prentice, C., Dominique Lopes, S., and Wang, X. (2020). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756. https://doi.org/10.1080/19368623.2020.1722304
- Schrock, W.A., Hughes, D.E., Fu, F.Q., Richards, K.A., and Jones, E.(2016). Better together: Trait competitiveness and competitive psychological climate as antecedents of salesperson organizational commitment and sales performance. Marketing Letters, 27(2), 351-360. https://doi.org/10.1007/s11002-014-9329-7
- Smith, A. and Anderson, J.(2014). AI, Robotics, and the Future of Jobs. Pew Research Center, 6, 51.
- Tussyadiah, I.P., and Park, S.(2018). Consumer evaluation of hotel service robots. In Information and communication technologies in tourism 2018. Springer, Cham, 308-320.
- Vatan, A. and Dogan, S.(2021). What do hotel employees think about service robots? A qualitative study in Turkey. Tourism Management Perspectives, 37, 100775.
- Vinzi, V.E., Trinchera, L., and Amato, S.(2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. Handbook of partial least squares, Springer, Berlin Heidelberg, 47-82.
- Wong, K.K.K.(2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
- Wang, C., Xu, J., Zhang, T.C., and Li, Q.M.(2020). Effects of professional identity on turnover intention in China's hotel employees: The mediating role of employee engagement and job satisfaction. Journal of Hospitality and Tourism Management, 45, 10-22. https://doi.org/10.1016/j.jhtm.2020.07.002
- Yang, H., Song, H., Cheung, C., and Guan, J.(2021). How to enhance hotel guests' acceptance and experience of smart hotel technology: An examination of visiting intentions. International Journal of Hospitality Management, 97, 103000.