Customers’ acceptance intention of self-service technology in casual dining restaurant: Expanding UTAUT with perceived risk and perceived vulnerability

Shela Muktamarisa, Adi Zakaria Afiff

Abstract


The COVID-19 pandemic has forced restaurants to adopt contactless self-service technology to address customers' level of vulnerability to COVID-19. This study examines important behavioral and user acceptance of self-service technology (SST) variables based on the Unified Theory of Use and Acceptance of Technology (UTAUT) model and enhanced to incorporate perceived risk and moderating effects of perceived vulnerability to COVID-19. The casual dining restaurants were chosen as the context of the study as this industry usually relies more on personal services than on SST, so the impact of environmental change can be seen more clearly. A questionnaire survey was created to gather empirical data about the usage of self-service technology through online data collection, and a quantitative method was adopted for data analysis. A structural analysis was conducted with the Partial Least Squares method to test the hypothetical relationship between the constructs proposed in the conceptual model. The contribution of this study is to analyze the use of technology in casual restaurant service settings in the context of the COVID-19 pandemic to provide an understanding of SST usage and practical implications for service development in the casual restaurants industry.

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References


Ahn, J. A., & Seo, S. (2ðŸ¶18). Consumer responses to interactive restaurant self-service technology (IRSST): The role of gadget-loving propensity. International Journal of Hospitality Management, 74, 1ðŸ¶9-121. doi:1ðŸ¶.1ðŸ¶16/j.ijhm.2ðŸ¶18.ðŸ¶2.ðŸ¶2ðŸ¶

Burns, A., Posey, C., Roberts, T. L., & Benjamin Lowry, P. (2ðŸ¶17). Examining the relationship of organizational insiders' psychological capital with information security threat and coping appraisals. Computers in Human Behavior, 68, 19ðŸ¶-2ðŸ¶9. doi:1ðŸ¶.1ðŸ¶16/j.chb.2ðŸ¶16.11.ðŸ¶18

Cho H and Lee J (2ðŸ¶15) The influence of self-efficacy, subjective norms, and risk perception on behavioral intentions related to the H1N1 flu pandemic: a comparison between Korea and the US. Asian Journal of Social Psychology 18: 311–324.

Cooper, D. R., & Schindler, P. S. (2ðŸ¶14). Business Research Methods 12th Edition. In Business Research Methods.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems. https://doi.org/1ðŸ¶.23ðŸ¶7/249ðŸ¶ðŸ¶8

Featherman MS, Pavlou PA (2ðŸ¶ðŸ¶3) Predicting e-services adoption: a perceived risk facets perspective. Int J Hum-Comput St 59(4):451–474

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2ðŸ¶19). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. doi:1ðŸ¶.11ðŸ¶8/ebr-11-2ðŸ¶18-ðŸ¶2ðŸ¶3

Jeon, H. M., Sung, H. J., & Kim, H. Y. (2ðŸ¶2ðŸ¶). Customers’ acceptance intention of self-service technology of restaurant industry: Expanding UTAUT with perceived risk and innovativeness. Service Business, 14(4), 533–551. https://doi.org/1ðŸ¶.1ðŸ¶ðŸ¶7/s11628-ðŸ¶2ðŸ¶-ðŸ¶ðŸ¶425-6

Kaushik AK, Agrawal AK, Rahman Z (2ðŸ¶15) Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents. Tour Manage Perspect 16(October):278–289

Mandrik CA, Bao YB (2ðŸ¶ðŸ¶5) Exploring the concept and measurement of general risk aversion. Assoc Consum Res 32:531–539

Min J, Yang K, Kim J. (2ðŸ¶22) The role of perceived vulnerability in restaurant customers’ co-creation behaviour and repatronage intention during the COVID-19 pandemic. Journal of Vacation Marketing. 28(1):38-51. doi:1ðŸ¶.1177/13567667211ðŸ¶14932

Mitchell VW, Harris G (2ðŸ¶ðŸ¶5) The importance of consumers’ perceived risk in retail strategy. Eur J Mark 39(7/8):821–837

Nilsson, E., Pers, J., & Grubbström, L. (2ðŸ¶21). Self-service technology in casual dining restaurants. Services Marketing Quarterly, 42(1-2), 57-73. doi:1ðŸ¶.1ðŸ¶8ðŸ¶/15332969.2ðŸ¶21.1947ðŸ¶85

Slade EL, Dwivedi YK, Piercy NC, Williams MD (2ðŸ¶15) Modelling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychol Mark 32(8):86ðŸ¶â€“873

Susskind, A. M., Curry, B. (2ðŸ¶16). An examination of customers’ attitudes about tabletop technology in full-service restaurants. Service Science, 8, 2ðŸ¶3-217

Venkatesh, Morris, Davis, & Davis. (2ðŸ¶ðŸ¶3). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425. doi:1ðŸ¶.23ðŸ¶7/3ðŸ¶ðŸ¶3654ðŸ¶

Zeithaml VA, Bitner MJ, Gremler DD (2ðŸ¶ðŸ¶6) Services marketing: Integrating customer focus across the frm, 4th edn. McGraw-Hill/Irwin, Boston, MA

Zhao G, Cavusgil E and Zhao Y (2ðŸ¶16) A protection motivation explanation of base-of-pyramid consumers’ environmental sustainability. Journal of Environmental Psychology 45: 116–126.




DOI: http://dx.doi.org/10.33021/icfbe.v3i1.3802

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