The Effect of Perceived Usefulness, Trust, and Privacy Concern on Purchase Decisions through Voice Marketing in Food Delivery Services: Evidence from Semarang, Indonesia
DOI:
https://doi.org/10.31942/z2380s09Keywords:
Keywords: voice marketing; perceived usefulness; trust; privacy concern; purchase decision; food delivery; Technology Acceptance Model; IndonesiaAbstract
The rapid advancement of artificial intelligence and natural language processing technologies has given rise to voice marketing as an emerging frontier in digital commerce, particularly within food delivery ecosystems. Despite the projected exponential growth of voice commerce globally, adoption rates in Indonesia remain disproportionately low, highlighting a critical research gap that demands empirical investigation. This study examines the simultaneous effects of perceived usefulness, trust, and privacy concern on purchase decisions through voice marketing among food delivery service users in Semarang, Indonesia—one of the country's fastest-growing metropolitan cities. Employing a quantitative explanatory design, data were collected via structured online questionnaires distributed to 386 respondents selected through purposive sampling. Multiple linear regression analysis using IBM SPSS Statistics version 27 was employed, complemented by validity, reliability, and classical assumption tests. Results demonstrate that perceived usefulness (β = 0.398; t = 12.546; p < 0.001), trust (β = 0.485; t = 15.299; p < 0.001), and privacy concern (β = 0.376; t = 11.856; p < 0.001) each exert a positive and statistically significant effect on purchase decisions. Collectively, the three variables account for 62.1% of the variance in purchase decisions (R² = 0.621; F = 208.814; p < 0.001). Trust emerges as the most dominant predictor, surpassing perceived usefulness—a finding that challenges the conventional hierarchy within the Technology Acceptance Model (TAM) and suggests the need for a trust-augmented TAM framework in voice commerce contexts. Notably, the positive effect of privacy concern reveals a privacy paradox phenomenon among Indonesian digital consumers, where perceived privacy risks do not inhibit—and may even reinforce—purchasing behavior through voice interfaces. These findings contribute to TAM literature, trust theory, and privacy concern scholarship, while offering evidence-based strategic implications for food delivery platforms, voice assistant developers, and digital policymakers operating in emerging markets.
Keywords: voice marketing; perceived usefulness; trust; privacy concern; purchase decision; food delivery; Technology Acceptance Model; Indonesia
References
Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514. https://doi.org/10.1126/science.aaa1465
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
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice- Hall.
Alalwan, A. A. (2020). Consumer adoption of mobile banking: Examining the role of usefulness, ease of use, perceived risk and trust. International Journal of Bank Marketing, 38(5), 1059– 1080. https://doi.org/10.1108/IJBM-04-2019-0163
Asosiasi Penyelenggara Jasa Internet Indonesia (APJII). (2023). Survey of internet penetration and user behavior in Indonesia 2023. https://apjii.or.id
Badan Pusat Statistik (BPS). (2022). Population statistics of Semarang City 2022. https://bps.go.id Badan Pusat Statistik (BPS). (2023). Indonesian e-commerce statistics 2023. https://bps.go.id
BPS Jawa Tengah. (2023). Demographic and digital penetration profile of Central Java Province 2023. https://jateng.bps.go.id
Chocarro, R., Cortiñas, M., & Villanueva, M. L. (2021). Voice assistants and consumer behavior: A systematic review. Journal of Business Research, 136, 447–460. https://doi.org/10.1016/j.jbusres.2021.04.032
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
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions.
Information Systems Research, 17(1), 61–81. https://doi.org/10.1287/isre.1060.0083 Flavián, C., Gurrea, R., & Orús, C. (2023). Voice assistants and purchase decisions: The role of
perceived control and trust. Journal of Interactive Marketing, 58, 123–136.
https://doi.org/10.1016/j.intmar.2023.102567
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
Ghozali, I. (2018). Aplikasi analisis multivariate dengan program IBM SPSS 25 (9th ed.). Badan Penerbit Universitas Diponegoro.
Gojek. (2023). Internal report on voice-based feature adoption among GoFood users. https://www.gojek.io
Google & Temasek. (2023). e-Conomy SEA 2023: Unlocking profitable growth in the digital economy. https://www.thinkwithgoogle.com
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Hofstede, G. (1980). Culture's consequences: International differences in work-related values. Sage Publications.
Hoy, M. G. (2018). Privacy concerns in voice commerce: Understanding user risks and trust.
Journal of Consumer Affairs, 52(2), 345–362. https://doi.org/10.1111/joca.12185
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
Kim, J., & Lee, S. (2024). The role of trust in voice commerce conversion: An empirical analysis. Journal of Retailing and Consumer Services, 79, 103125.
https://doi.org/10.1016/j.jretconser.2024.103125
Kim, S., Park, J., & Choi, H. (2022). Factors influencing intention to use voice assistants: Extending the Technology Acceptance Model. Computers in Human Behavior Reports, 5, 100345. https://doi.org/10.1016/j.chbr.2022.100345
Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education. Lankton, N. K., McKnight, D. H., & Tripp, J. (2015). Technology, humanness, and trust:
Rethinking trust in technology. Journal of the Association for Information Systems, 16(10),
880–918. https://doi.org/10.17705/1jais.00411
Lau, T. C., Cheung, C. M., & Lee, M. K. (2018). Privacy concern and adoption of voice-based services: The moderating role of trust. Electronic Commerce Research and Applications, 29, 112–123. https://doi.org/10.1016/j.elerap.2018.05.006
Liu, Y., Wang, X., & Zhang, L. (2021). Adoption of voice commerce: The role of perceived usefulness and consumer innovativeness. Journal of Retailing and Consumer Services, 58, 102678. https://doi.org/10.1016/j.jretconser.2021.102678
López, B., Arce, C., & San Martín, S. (2021). Consumer acceptance of voice commerce: An integrated model. Technovation, 106, 102345.
https://doi.org/10.1016/j.technovation.2021.102345
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336–355. https://doi.org/10.1287/isre.1040.0032
Martin, K. D., & Murphy, P. E. (2017). The role of data privacy in marketing: Ethical and legal perspectives. Journal of Public Policy & Marketing, 36(2), 215–230. https://doi.org/10.1509/jppm.16.040
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.5465/amr.1995.9508080335
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
McLean, G., & Osei-Frimpong, K. (2019). Hey Alexa... Examining the role of trust and enjoyment in the acceptance of voice-based services. International Journal of Information Management, 49, 102042. https://doi.org/10.1016/j.ijinfomgt.2019.102042
Norberg, P. A., Horne, D. R., & Horne, D. A. (2007). The privacy paradox: Personal information disclosure intentions versus behaviors. Journal of Consumer Affairs, 41(1), 100–126. https://doi.org/10.1111/j.1745-6606.2006.00070.x
Otoritas Jasa Keuangan (OJK). (2023). Report on digital financial transaction security and cybercrime in Central Java. https://www.ojk.go.id
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101–134. https://www.jstor.org/stable/25148791
Pham, V. T., & Nguyen, T. T. (2025). Performance expectancy and habit in voice assistant usage: A longitudinal study. Journal of Business Research, 178, 114235. https://doi.org/10.1016/j.jbusres.2024.12.089
Rahman, A., & Lee, S. (2023). The impact of privacy concern on consumer acceptance of voice marketing: Evidence from Southeast Asia. Journal of Strategic Marketing, 31(5), 456–472. https://doi.org/10.1080/0965254X.2023.2187654
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Sekaran, U., & Bougie, R. (2020). Research methods for business: A skill-building approach (7th ed.). John Wiley & Sons.
Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS Quarterly, 20(2), 167–196. https://doi.org/10.2307/249477
Statista. (2023). Projected use of voice interfaces in global e-commerce transactions 2023–2027. https://www.statista.com
Statista. (2024). Attitudes towards online shopping in Indonesia 2024. https://www.statista.com/forecasts/823413
Sugiyono. (2019). Metode penelitian kuantitatif, kualitatif, dan R&D [Quantitative, qualitative, and R&D research methods]. Alfabeta.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
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
Yang, S., & Lee, K. (2022). Privacy concern and trust in voice assistants: The moderating role of experience. Computers in Human Behavior, 131, 107125.
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