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Privacy Concerns and Trust in AI-Enabled Mobile Applications: A Study of Indian Users
Authors
1 2 3 4 5 KCC Institute of Engineering and Technology, Greater Noida, Uttar Pradesh, India.
Article Information
- Published In
- Volume 6, Issue 2 (2026)
- Published Online
- March-April 2026
- Pages
- 270-271
- Article Type
- Original Article
- Check for updates
-
References
1. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly.
2. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view.
MIS Quarterly.
3. Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science.
4. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model.
International Journal of Electronic Commerce.
5. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly.
6. Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust. MIS Quarterly.
7. Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. (2012). Effects of individual self-protection, industry self-regulation, and government
regulation on privacy concerns. MIS Quarterly.
8. Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial intelligence in services: The role of trust and adoption. Service Industries
Journal.
9. Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and
agenda for research. International Journal of Information Management.
10. OECD (2022). OECD Principles on Artificial Intelligence.
11. World Economic Forum (2023). Responsible AI Frameworks.
12. Statista (2024). Mobile app usage statistics in India.
13. KPMG India (2023). Digital Trust Insights in India.
14. PwC (2024). Consumer Intelligence Series: Data Privacy.
15. McKinsey & Company (2023). The State of AI in Consumer Applications.
16. IEEE (2022). Explainable AI and Trustworthiness in Systems.
17. NASSCOM (2024). India AI Ecosystem Report.
18. Deloitte (2024). Trust in Digital Platforms.
19. Martin, K. (2019). Ethical implications and accountability of algorithms. Business Ethics Quarterly.
20. Shankar, V. (2020). How Artificial Intelligence (AI) is reshaping retailing. Journal of Retailing.
2. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view.
MIS Quarterly.
3. Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science.
4. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model.
International Journal of Electronic Commerce.
5. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly.
6. Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust. MIS Quarterly.
7. Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. (2012). Effects of individual self-protection, industry self-regulation, and government
regulation on privacy concerns. MIS Quarterly.
8. Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial intelligence in services: The role of trust and adoption. Service Industries
Journal.
9. Dwivedi, Y. K., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and
agenda for research. International Journal of Information Management.
10. OECD (2022). OECD Principles on Artificial Intelligence.
11. World Economic Forum (2023). Responsible AI Frameworks.
12. Statista (2024). Mobile app usage statistics in India.
13. KPMG India (2023). Digital Trust Insights in India.
14. PwC (2024). Consumer Intelligence Series: Data Privacy.
15. McKinsey & Company (2023). The State of AI in Consumer Applications.
16. IEEE (2022). Explainable AI and Trustworthiness in Systems.
17. NASSCOM (2024). India AI Ecosystem Report.
18. Deloitte (2024). Trust in Digital Platforms.
19. Martin, K. (2019). Ethical implications and accountability of algorithms. Business Ethics Quarterly.
20. Shankar, V. (2020). How Artificial Intelligence (AI) is reshaping retailing. Journal of Retailing.
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