An Empirical Investigation of the Determinants of Consumer Intention to Adopt Self-Service Technologies in the Malaysian Hospitality Sector

Authors

Amir Aris

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Atirah Sufian

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Hani Nurfaezah Hashim

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Amizatulhawa Mat Sani

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Siti Nur Aisyah Alias

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka (Malaysia)

Alif Ziyad Mohd Zamri

Faculty of Engineering, University Malaya (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.92800004

Subject Category: Consumer Behaviour

Volume/Issue: 9/28 | Page No: 28-34

Publication Timeline

Submitted: 2025-11-01

Accepted: 2025-11-07

Published: 2025-12-18

Abstract

The rapid adoption of self-service technology (SST) in the hospitality industry offers efficiency and convenience, yet many providers struggle to understand the key factors influencing consumer acceptance, particularly in Malaysia’s fast-growing tourism market. Without this understanding, SST investments may fail to achieve desired usage levels and customer satisfaction. This study investigates the determinants of consumers’ intention to adopt SST in Malaysia’s hospitality industry, focusing on perceived ease of use, perceived reliability, technology readiness, and perceived interactivity. A quantitative survey was conducted with 392 respondents, and data were analyzed using descriptive statistics, Pearson correlation, and multiple regression. Findings reveal that technology readiness and interactivity are the strongest predictors of SST adoption, followed by ease of use and reliability. The results suggest that user-friendly, reliable, and interactive systems increase adoption likelihood, improving customer satisfaction and loyalty. The study highlights the importance for hospitality providers to align SST features with customer expectations to optimize service efficiency. Practical implications include prioritizing technology training, enhancing system reliability, and integrating interactive features to increase user engagement. This research contributes to the literature by integrating Technology Acceptance Model constructs with technology readiness in the hospitality context, offering both theoretical insights and practical guidance for industry stakeholders.

Keywords

Self-service technology; Hospitality industry

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References

1. Abdullah, D., Jayaraman, R., Kamal, M. A. M., & Md Nor, M. N. (2016). Understanding consumer behavior in the context of self-service technologies in the hospitality industry. International Journal of Hospitality Management, 56, 120–132. https://doi.org/10.1016/j.ijhm.2016.04.001 [Google Scholar] [Crossref]

2. Abdullah, D., Radzi, S. M., Jamaluddin, M. R., & Patah, M. O. R. A. (2010). An analysis of technology readiness in the hotel industry. International Journal of Business and Management, 5(6), 62–71. https://doi.org/10.5539/ijbm.v5n6p62 [Google Scholar] [Crossref]

3. Berry, L. L., Parasuraman, A., & Zeithaml, V. A. (1994). Improving service quality in America: Lessons learned. Academy of Management Executive, 8(2), 32–52. https://doi.org/10.5465/ame.1994.9503101072 [Google Scholar] [Crossref]

4. Collier, J. E., & Kimes, S. E. (2003). Only skin deep? On the affective nature of customer satisfaction with self-service technologies. Journal of Services Marketing, 17(1), 67–83. https://doi.org/10.1108/08876040310461283 [Google Scholar] [Crossref]

5. Curran, J. M., Meuter, M. L., & Surprenant, C. F. (2003). Intentions to use self-service technologies: A confluence of multiple attitudes. Journal of Service Research, 5(3), 209–224. https://doi.org/10.1177/1094670502238916 [Google Scholar] [Crossref]

6. 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 [Google Scholar] [Crossref]

7. Grewal, D., & Levy, M. (2009). Emerging issues in retailing research. Journal of Retailing, 85(4), 522–526. https://doi.org/10.1016/j.jretai.2009.09.003 [Google Scholar] [Crossref]

8. Hogreve, J., & Gremler, D. D. (2009). Twenty years of service guarantee research: A synthesis. Journal of Service Research, 11(4), 322–343. https://doi.org/10.1177/1094670509336743 [Google Scholar] [Crossref]

9. Jeong, M., & Lambert, C. U. (2001). Adaptation of an information quality framework to measure customers’ behavioral intentions to use lodging websites. International Journal of Hospitality Management, 20(2), 129–146. https://doi.org/10.1016/S0278-4319(00)00055-8 [Google Scholar] [Crossref]

10. Law, R., & Jogaratnam, G. (2005). A study of hotel information technology applications. International Journal of Contemporary Hospitality Management, 17(2), 170–180. https://doi.org/10.1108/09596110510582369 [Google Scholar] [Crossref]

11. Lee, J., & Allaway, A. (2002). Effects of personal control on the adoption of self-service technology innovations. Journal of Services Marketing, 16(6), 553–572. https://doi.org/10.1108/08876040210443368 [Google Scholar] [Crossref]

12. Lema, G. (2009). Self-service technologies: An overview of research trends and directions. Journal of Business and Economics, 9(2), 35–50. [Google Scholar] [Crossref]

13. Lin, J.-S. C., & Hsieh, P.-L. (2006). The role of technology readiness in customers’ perception and adoption of self-service technologies. International Journal of Service Industry Management, 17(5), 497–517. https://doi.org/10.1108/09564230610689795 [Google Scholar] [Crossref]

14. Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64. https://doi.org/10.1509/jmkg.64.3.50.18024 [Google Scholar] [Crossref]

15. NCR Corporation. (2008). 2008 Self-service consumer survey. NCR Corporation. [Google Scholar] [Crossref]

16. NCR Corporation. (2009). 2009 Retail banking consumer survey. NCR Corporation. [Google Scholar] [Crossref]

17. Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001 [Google Scholar] [Crossref]

18. Schafer, J. (1999). The impact of personalized recommendations on consumer behavior. International Journal of Human-Computer Studies, 51(1), 131–156. https://doi.org/10.1006/ijhc.1999.0327 [Google Scholar] [Crossref]

19. Sim, J., Mak, B., & Jones, D. (2006). A model of customer satisfaction and retention for hotels. Journal of Quality Assurance in Hospitality & Tourism, 7(3), 1–23. https://doi.org/10.1300/J162v07n03_01 [Google Scholar] [Crossref]

20. Steuer, J. (1995). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x [Google Scholar] [Crossref]

21. Skogland, I., & Siguaw, J. A. (2004). Are your satisfied customers loyal? Cornell Hotel and Restaurant Administration Quarterly, 45(3), 221–234. https://doi.org/10.1177/0010880404265231 [Google Scholar] [Crossref]

22. Sufian, A., Yong, L. S., & Zamri, A. A. M. (2025). Consumer Acceptance towards Self-Service Ticketing Kiosk in Malaysian Cinema. International Journal of Academic Research in Business & Social Sciences. 15(01), 597-619. http://dx.doi.org/10.6007/IJARBSS/v15-i1/24511 [Google Scholar] [Crossref]

23. Wright, K. B. (2018). Research design and methodology: Understanding quantitative research methods. Sage Publications. [Google Scholar] [Crossref]

24. Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2009). Services marketing: Integrating customer focus across the firm (5th ed.). McGraw-Hill. [Google Scholar] [Crossref]

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