Skip to main navigation menu Skip to main content Skip to site footer

Vol. 12 No. 05 (2025)
International Multidisciplinary Journal for Research & Development

Articles

DIGITAL SERVICES (ONLINE SERVICES) AND CONSUMER BEHAVIOR: ANALYSIS USING THE LOGIT/PROBIT MODEL

Published 2025-06-01

  • Ablaizov Akbar Abduvafo ugli,Berdikulova Madina Zakir kizi,Ziyodova Rayhona Jasur kizi

Ablaizov Akbar Abduvafo ugli,Berdikulova Madina Zakir kizi,Ziyodova Rayhona Jasur kizi
Samarkand Institute of Economics and Service

Abstract

This article analyzes the relationship between digital services and consumer behavior using Logit and Probit models. The study examines the influence of factors such as age, education level, internet accessibility, income level, and trust in security on the usage of digital services. The results have practical implications for the development of digital services and better understanding of consumer needs.

Keywords

Digital services, consumer behavior, Logit model, Probit model, internet access, trust, online services.

DOWNLOAD PDF

References

  1. 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
  2. De Jong, M., & Henseler, J. (2020). Predicting consumers’ adoption of digital services: The role of trust and perceived risk. Journal of Business Research, 116, 55–66. https://doi.org/10.1016/j.jbusres.2020.05.004
  3. Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013
  4. Lu, J., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006
  5. 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://doi.org/10.1080/10864415.2003.11044275
  6. 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
  7. Zhou, T. (2011). An empirical examination of users’ switching from online payment to mobile payment. Journal of Electronic Commerce Research, 12(3), 198–212. https://www.jecr.org/sites/default/files/12_3_p02.pdf
  8. 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

Downloads

Download data is not yet available.