Robots at the Table: Unveiling Employee Experiences of Robot Integration in Malaysia’s Hospitality Industry

Authors

DOI:

https://doi.org/10.14764/10.ASEAS-0140

Keywords:

Automation, Employee Experience;, Employment Relations, Hospitality Labor, Service Robots

Abstract

This study examines how frontline restaurant employees in Malaysia experience and interpret the integration of service robots within a labor-scarce hospitality sector characterized by reliance on a migrant workforce and high-touch service traditions. Drawing on survey data from 142 employees across 22 robot-integrated restaurants, complemented by open-ended survey comments, the study identifies an ‘anxiety paradox’: while employees appreciate robots as supportive tools that alleviate workload pressures, higher Performance Expectancy of service robots is associated with lower Job Satisfaction, suggesting that perceived capability can heighten concerns about human substitutability and the future value of service labor. Organizational support partially mitigates these tensions, underscoring the importance of workplace conditions in shaping technology-labor relations. By foregrounding employee perspectives, the study contributes to debates in labor process theory and socio-technical systems, demonstrating how automation in Southeast Asian hospitality sectors reshapes employee experiences of job security, satisfaction, and worker identity.

Author Biographies

Gary Daniels, Sunway University

Gary Daniels is an entrepreneurship-focused academic and former hospitality entrepreneur with over two decades of international experience in the UK, China, and Malaysia. His work is defined by a unique ‘practitioner-scholar’ identity, built on a foundation of ten years as the founder and operator of three successful F&B ventures in Chengdu, China. His applied research focuses on entrepreneurship ecosystems, sustainable and responsible practice, digital transformation in hospitality, and work-integrated learning (WIL), with a particular emphasis on ASEAN.

Rita Lo, Sunway University

Rita Lo is currently the Secretary of the Malaysia Executive Housekeeper Association. She has extensive experience in the hospitality industry, having worked with several hotels and the International Hotel Association on projects related to service quality, room division management, pro-management programs, and hotel operation documentation. Her areas of expertise include room division operations management, hospitality-related SDGs, fragrance creation, and revenue data analytics management. Her research focuses on effective service quality tools for the hotel and tourism industry, hotel pricing strategies, revenue management, employability opportunities for convicts, and food preservation for indigenous communities. Prior to entering academia, she held supervisory roles in rooms revenue, room division operations, guest relations, and training at various hotels and retail companies.

References

Abdelhakim, A. S., Abou-Shouk, M., Fahada, N. A. W. A. R., & Farooq, A. (2023). The fast-food employees’ usage intention of robots: A cross-cultural study. Tourism Management Perspectives, 45. https://doi.org/10.1016/j.tmp.2022.101049

Ali, F., Dogan, S., Chen, X., Cobanoglu, C., & Limayem, M. (2023). Friend or a foe: understanding Genera-tion Z employees' intentions to work with service robots in the hotel industry. International Journal of Human-Computer Interaction, 39(1), 111–122.

Alotaibi, S., Shafieizadeh, K., & Alsumait, K. (2024). Customers’ perceptions toward service robots at restaurants: The moderating role of consumer innovativeness and the mediating role of per-ceived hedonic benefits. Journal of Quality Assurance in Hospitality & Tourism, 25(5), 1465–1487.

Anton, T. S., Trupp, A., Stephenson, M. L., & Chong, K. L. (2023). The technology adoption model canvas (TAMC): a smart framework to guide the advancement of microbusinesses in emerging econo-mies. Smart Cities, 6(6), 3297-3318.

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model1. MIS quarterly, 25(3), 351-370.

Bhatti, S. C., Jain, A., & Robert, L. P., Jr. (2024). Service robots in restaurants: anticipated changes in em-ployee feedback, performance, satisfaction, and turnover intention, Proceedings of the 30th Americas Conference on Information Systems (AMCIS 2024), Aug 15-17, 2024, Salt Lake City, UT. https://dx.doi.org/10.7302/23357

Brougham, D., & Haar, J. (2018). Smart technology, artificial intelligence, robotics, and algorithms (STARA): Employees’ perceptions of our future workplace. Journal of Management & Organiza-tion, 24(2), 239-257.

Cha, S.S. (2020). Customers’ intention to use robot-serviced restaurants in Korea: relationship of cool-ness and MCI factors. International Journal of Contemporary Hospitality Management, 32(9), 2947–2971.

Chan, J. K. L., & Abdullah, D. (2021). Benefits and challenges for Malaysian hotels when employing for-eign workers and interns. Journal of Tourism, Hospitality and Culinary Arts, 13(4), 173–187.

Channel NewsAsia. (2022, August 6). Labour crunch hampers recovery of Malaysia’s hospitality sector. https://www.channelnewsasia.com/asia/labour-crunch-malaysias-hospitality-sector-2745971

Chen, C.-C., & Cai, R. (2025). Are robots stealing our jobs? Examining robot-phobia as a job stressor in the hospitality workplace. International Journal of Contemporary Hospitality Management, 37(1), 94-112.

Chuah, S. H.-W., & Soeiro, J. D. (2025). When robot appearance and service style interact to influence customers’ willingness to pay: The mediating role of perceived restaurant quality. International Journal of Hospitality Management, 127. https://doi.org/10.1016/j.ijhm.2025.104117

Chuah, S. H. W., Jitanugoon, S., Puntha, P., & Aw, E. C. X. (2022). You don’t have to tip the human waiters anymore, but… Unveiling factors that influence consumers’ willingness to pay a price premium for robotic restaurants. International Journal of Contemporary Hospitality Management, 34(10), 3553-3587.

Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36(2), 123–139.

Cornell, D., Manamtam, J. R., & Tham, A. (2024). Invisible workers in the Philippines’ ghost kitchens: trends and implications. Advances in Southeast Asian Studies, 17(2), 187-200.

Creswell, J. W., & Creswell, J. D. (2023). Research design: qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Do, K. T., Gip, H., Guchait, P., Wang, C. Y., & Baaklini, E. S. (2023). Empathetic creativity for frontline employees in the age of service robots: conceptualization and scale development. Journal of Ser-vice Management, 34(3), 433-466.

Ersoy, A., & Ehtiyar, R. (2023). The impact of artificial intelligence on hospitality employees’ work out-comes. Advances in Hospitality and Tourism Research (AHTR), 11(4), 505-526.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computeri-sation?. Technological forecasting and social change, 114, 254-280.

Gu, Q., Li, M., & Huang, S. (S.). (2023). An exploratory investigation of technology-assisted dining experi-ences from the consumer perspective. International Journal of Contemporary Hospitality Man-agement, 35(3), 1010-1029. https://doi.org/10.1108/IJCHM-02-2022-0214

Hackman, J.R. & Oldham, G.R. (1976). Motivation through the design of work: test of a theory. Organi-zational Behavior and Human Performance, 16, 250-279.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.

Harney, B., Gilman, M., Mayson, S., & Raby, S. (2022). Advancing understanding of HRM in small and medium-sized enterprises (SMEs): critical questions and future prospects. The International Journal of Human Resource Management, 33(16), 3175–3196.

Ho, E. J. Y., & Chuah, S. H. W. (2025). Exploring the factors influencing employees’ intention to work with service robots in restaurants: an fsQCA approach. Journal of Foodservice Business Research, 1–35. https://doi.org/10.1080/15378020.2025.2483044

Horpynich, H., Mistry, T. G., & Dogan, S. (2025). Service robots in hospitality: a cognitive appraisal per-spective on job insecurity, turnover intentions, and generational differences. Journal of Hospitali-ty and Tourism Technology, 16(1), 194-212.

Huang, H., & Liu, S. Q. (2022). Are consumers more attracted to restaurants featuring humanoid or non-humanoid service robots? International Journal of Hospitality Management, 107. https://doi.org/10.1016/j.ijhm.2022.103310

Huo, D., Zhang, L., Zheng, X., & Wang, Y. (2025). Friends or foes? Understanding the effects of service robots on consumers’ patronage intentions in ethnic restaurants. Journal of Hospitality and Tour-ism Management, 62, 246–257.

Hyun, Y., Hlee, S., Park, J., & Chang, Y. (2022). Discovering meaningful engagement through interaction between customers and service robots. The Service Industries Journal, 42(13-14), 973-1000.

Ivanov, S., & Webster, C. (Eds.). (2019). Robots, artificial intelligence and service automation in travel, tourism and hospitality. Emerald.

Jung, S. Y., & Cha, S. S. (2022). Attitude of consumers toward restaurant service robots based on UTAUT2 Theory. Korean Journal of Food & Health Convergence, 8(1), 9–16.

Kao, W. K., & Huang, Y. S. S. (2023). Service robots in full-and limited-service restaurants: Extending technology acceptance model. Journal of Hospitality and Tourism Management, 54, 10-21.

Kim, J. J., Kim, S. S., Ayalew, Z. A., Chua, B. L., Han, H., & Lee, J. (2025). Do employees and customers un-derstand their new roles for collaborative value co-creation in technology-driven service set-tings?. International Journal of Hospitality Management, 128. https://doi.org/10.1016/j.ijhm.2025.104199

Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.

Leavy, P. (2022). Research design: Quantitative, qualitative, mixed methods, arts-based, and communi-ty-based participatory research approaches. Guilford Publications.

Liu, W., Xin, X., & Zheng, C. (2025). The effect of behaviorally anthropomorphic service robots on cus-tomers’ variety-seeking behavior: an analytical examination of social presence and decision-making context. Frontiers in Robotics and AI, 12. https://doi.org/10.3389/frobt.2025.1503622

Low, C. C. (2021). Legal reforms in protecting migrant workers’ welfare in Malaysia: Labor law and social security. Advances in Southeast Asian Studies, 14(1), 59-80.

Lu, L., Zhang, P., & Zhang, T. (2021). Leveraging “human-likeness” of robotic service at restaurants. In-ternational Journal of Hospitality Management, 94. https://doi.org/10.1016/j.ijhm.2020.102823

Lu, V. N., Wirtz, J., Kunz, W. H., Paluch, S., Gruber, T., Martins, A., & Patterson, P. G. (2020). Service ro-bots, 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.

Lv, L., Huang, M., & Huang, R. (2023). Anthropomorphize service robots: the role of human nature traits. The Service Industries Journal, 43(3-4), 213-237.

McCartney, G., & McCartney, A. (2020). Rise of the machines: towards a conceptual service-robot re-search framework for the hospitality and tourism industry. International Journal of Contempo-rary Hospitality Management, 32(12), 3835-3851.

Mejia, C., Crandell, H. A., Broker, E., & Shoss, M. (2024). Working with service robots in the dining room: Employees’ perspectives and realities. Journal of Hospitality and Tourism Technology, 15(5), 878-896.

Ministry of Economy Malaysia. (2021a). Malaysia Digital Economy Blueprint (MyDIGITAL).

https://ekonomi.gov.my/sites/default/files/2021-02/malaysia-digital-economy-blueprint.pdf

Ministry of Economy Malaysia. (2021b). National Fourth Industrial Revolution (4IR) Policy.

https://ekonomi.gov.my/sites/default/files/2021-07/National-4IR-Policy.pdf

Mukherjee, S., Baral, M. M., Nagariya, R., Venkataiah, C., Rao, U. V. A., & Rao, K. S. (2023). Systematic lit-erature review and future research directions for service robots in hospitality and tourism indus-tries. The Service Industries Journal, 43(15-16), 1083-1116.

Odekerken-Schröder, G., & Mennens, K. (2022). The service triad: an empirical study of service robots, customers and frontline employees. Journal of Service Management, 33(2), 246-292.

Paluch, S., Tuzovic, S., Holz, H. F., Kies, A., & Jörling, M. (2022). “My colleague is a robot”–exploring frontline employees' willingness to work with collaborative service robots. Journal of Service Management, 33(2), 363-388.

Pande, S., & Gupta, K. P. (2023). Indian customers’ acceptance of service robots in restaurant services. Behaviour & Information Technology, 42(12), 1946–1967.

Parvez, M. O., Öztüren, A., Cobanoglu, C., Arasli, H., & Eluwole, K. K. (2022). Employees’ perception of robots and robot-induced unemployment in hospitality industry under COVID-19 pandemic. In-ternational Journal of Hospitality Management, 107. https://doi.org/10.1016/j.ijhm.2022.103336

Qian, Y., & Wan, X. (2024). Influence of robot anthropomorphism on consumer attitudes toward res-taurants and service providers. International Journal of Hospitality Management, 123. https://doi.org/10.1016/j.ijhm.2024.103939

Santiago, J., Borges-Tiago, M. T., & Tiago, F. (2024). Embracing RAISA in restaurants: Exploring custom-er attitudes toward robot adoption. Technological Forecasting and Social Change, 199. https://doi.org/10.1016/j.techfore.2023.123047

Seo, K. H., & Lee, J. H. (2021). The emergence of service robots at restaurants: Integrating trust, per-ceived risk, and satisfaction. Sustainability, 13(8). https://doi.org/10.3390/su13084431.

Seyitoğlu, F., & Ivanov, S. (2022). Understanding the robotic restaurant experience: a multiple case study. Journal of Tourism Futures, 8(1), 55–72.

Shimmura, T., Ichikari, R., Okuma, T., Ito, H., Okada, K., & Nonaka, T. (2020). Service robot introduction to a restaurant enhances both labour productivity and service quality. Procedia CIRP, 88, 589–594.

Song, Y., Zhang, M., Hu, J., & Cao, X. (2022). Dancing with service robots: The impacts of employee-robot collaboration on hotel employees’ job crafting. International Journal of Hospitality Man-agement, 103. https://doi.org/10.1016/j.ijhm.2022.103220

Spector, P. E. (1985). Measurement of human service staff satisfaction: Development of the Job Satis-faction Survey. American Journal of Community Psychology, 13(6), 693–713.

Sung, H. J., & Jeon, H. M. (2020). Untact: Customer’s acceptance intention toward robot barista in coffee shop. Sustainability, 12(20). https://doi.org/10.3390/su12208598

Tu, Y., Liu, W., & Yang, Z. (2023). Exploring the influence of service employees’ characteristics on their willingness to work with service robots. Journal of Service Management, 34(5), 1038-1063.

Tuomi, A., Tussyadiah, I., & Stienmetz, J. (2020). Service Robots and the Changing Roles of Employees in Restaurants: A Cross Cultural Study. e-Review of Tourism Research (eRTR), 17(5).

Tuomi, A., Tussyadiah, I. P., & Stienmetz, J. (2021). Applications and implications of service robots in hospitality. Cornell Hospitality Quarterly, 62(2), 232-247.

UNESCAP - United Nations Economic and Social Commission for Asia and the Pacific. (2020). Describing MSMEs in the informal sector. United Nations.

https://msmepolicy.unescap.org/describing-msmes-informal-sector

Van der Meulen, F. J., Verhoeven, D., Chipumuro, J., & Majee, W. (2024). AI service robots in a 4-star ho-tel enhancing guest and employee experiences. Research in Hospitality Management, 14(2), 186-191.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technol-ogy: Toward a Unified View. MIS quarterly, 27(3), 425–478.

Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the Unified Theory of Acceptance and Use of Technology1. MIS quarterly, 36(1), 157-178.

Wang, B., Han, Y., Xie, F., Kandampully, J., & Duan, Q. (2025). To whom does service robot anthropo-morphism appeal? The roles of customer social context, power, and perceived social connected-ness. The Service Industries Journal, 1-34.

Wang, Y.-C., & Papastathopoulos, A. (2024). Cross-segment validation of customer support for AI-based service robots at luxury, fine-dining, casual, and quick-service restaurants. International Journal of Contemporary Hospitality Management, 36(6), 1744-1765.

Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of Service Management, 29(5), 907-931.

Xu, J., Hsiao, A., Reid, S., & Ma, E. (2023). Working with service robots? A systematic literature review of hospitality employees’ perspectives. International Journal of Hospitality Management, 113. https://doi.org/10.1016/j.ijhm.2023.103523

Yang, X., & Gao, Y. (2023). Co-creation with service robots and employee wellbeing: a self-determination perspective. Behaviour & Information Technology, 43(10), 1799-1816.

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Published

2026-04-17

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Current Research on Southeast Asia