00
Days
00
Hrs
00
Min
00
Sec
Submit Your Paper

Influence of Virtual Influencer Credibility, AI-Generated Content Quality, Parasocial Interaction and Digital Trust on Purchase Intention

Authors

Shivangi Singh

Research Scholar, Department of Business Management & Entrepreneurship, Dr. Rammanohar Lohia Avadh University (IN)

Dr. Ravindra Bhardwaj

Assistant Professor, Department of Business Management & Entrepreneurship, Dr. Rammanohar Lohia Avadh University (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150600071

Subject Category: AI

Volume/Issue: 15/6 | Page No: 1006-1024

Publication Timeline

Submitted: 2026-07-07

Published: 2026-07-06

Abstract

The increasing use of artificial intelligence in digital marketing has transformed the way consumers interact with brands and make purchasing decisions. Virtual influencers, AI-generated content, and personalized digital experiences have emerged as powerful marketing tools that influence consumer attitudes and behaviors. This study investigates the impact of Virtual Influencer Credibility, AI-Generated Content Quality, Parasocial Interaction, and Digital Trust on consumers’ Purchase Intention. Drawing upon contemporary digital marketing and consumer behavior literature, the study proposes a conceptual framework to examine the relationships among these constructs (Lou & Yuan, 2019; Dwivedi et al., 2023). A quantitative research design was adopted, and primary data were collected from 400 respondents through a structured questionnaire using a five-point Likert scale. SmartPLS 4 was employed to assess the measurement and structural models. The measurement model demonstrated satisfactory reliability and validity, with Cronbach’s Alpha and Composite Reliability values exceeding 0.70 and Average Variance Extracted (AVE) values above 0.50. The structural model results revealed that Virtual Influencer Credibility (β =0.288, p < 0.001), AI-Generated Content Quality (β = 0.451, p < 0.001), Parasocial Interaction (β = 0.253, p < 0.001), and Digital Trust (β = 0.526, p < 0.001) have significant positive effects on Purchase Intention. The model explained 57.10% of the variance in Purchase Intention (R² = 0.571), indicating moderate predictive power. The findings suggest that consumers are more likely to develop purchase intentions when they perceive virtual influencers as credible, AI-generated content as valuable, and digital platforms as trustworthy. The study contributes to the growing body of knowledge on AI-driven marketing and provides practical implications for marketers seeking to enhance consumer engagement and purchase behavior through emerging digital technologies.

Keywords

Virtual Influencer Credibility, AI-Generated Content Quality, Parasocial Interaction, Digital Trust, Purchase Intention.

Downloads

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 [Google Scholar] [Crossref]

2. Aw, E. C. X., & Chuah, S. H. W. (2021). Stop the unattainable ideal for an ordinary me! Fostering parasocial relationships with social media influencers. Journal of Business Research, 132, 146–157. https://doi.org/10.1016/j.jbusres.2021.04.025 [Google Scholar] [Crossref]

3. Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets. MIS Quarterly, 26(3), 243–268. https://doi.org/10.2307/4132332 [Google Scholar] [Crossref]

4. Bhardwaj, R., & Singh, S. (2025). Commerce, trade, and artisanal traditions in Varanasi: Preserving heritage and supporting economic development. Journal of Cultural Economics and Heritage Studies, 8(2), 45–59. [Google Scholar] [Crossref]

5. Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y., & Mavrommatis, A. (2022). From data to action: How marketers can leverage artificial intelligence. Business Horizons, 65(1), 9–20. https://doi.org/10.1016/j.bushor.2021.08.002 [Google Scholar] [Crossref]

6. Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21–36. https://doi.org/10.1108/02635570710719034 [Google Scholar] [Crossref]

7. Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth. Internet Research, 18(3), 229–247. [Google Scholar] [Crossref]

8. Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic review. International Journal of Market Research, 64(1), 38–68. [Google Scholar] [Crossref]

9. Chung, S., & Cho, H. (2017). Fostering parasocial relationships with celebrities on social media. Computers in Human Behavior, 87, 12–22. [Google Scholar] [Crossref]

10. Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. [Google Scholar] [Crossref]

11. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success. Journal of Management Information Systems, 19(4), 9–30. [Google Scholar] [Crossref]

12. Devi, B. G., Singh, S., Jayasuria, J. G., Sachan, V. S., Raj, A., & Sharma, S. K. (2026). Strategic integration of management practices and commercial analytics for enhancing organizational performance. Scientific Culture, 12(4), 6980–6987. https://doi.org/10.5281/zenodo.12426716 [Google Scholar] [Crossref]

13. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., & others. (2021). Artificial intelligence (AI): Multidisciplinary perspectives. International Journal of Information Management, 57, 101994. [Google Scholar] [Crossref]

14. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M., et al. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642 [Google Scholar] [Crossref]

15. Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions. Journal of Research in Interactive Marketing, 10(1), 4–20. [Google Scholar] [Crossref]

16. Filieri, R. (2015). What makes online reviews helpful? Electronic Commerce Research and Applications, 14(4), 247–260. [Google Scholar] [Crossref]

17. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley. [Google Scholar] [Crossref]

18. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping. MIS Quarterly, 27(1), 51–90. [Google Scholar] [Crossref]

19. Horton, D., & Wohl, R. R. (1956). Mass communication and parasocial interaction. Psychiatry, 19(3), 215–229. [Google Scholar] [Crossref]

20. Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15(4), 635–650. [Google Scholar] [Crossref]

21. Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. [Google Scholar] [Crossref]

22. Jarek, K., & Mazurek, G. (2019). Marketing and artificial intelligence. Central European Business Review, 8(2), 46–55. [Google Scholar] [Crossref]

23. Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? Business Horizons, 62(1), 15–25. [Google Scholar] [Crossref]

24. Ki, C. W. C., Cuevas, L. M., Chong, S. M., & Lim, H. (2023). Influencer marketing: Social media influencers as human brands attaching to followers and yielding positive marketing results through perceived authenticity. Journal of Retailing and Consumer Services, 72, 103276. [Google Scholar] [Crossref]

25. Kim, J., & Song, H. (2016). Celebrity endorsement, parasocial interaction, and purchase intention. Journal of Marketing Communications, 22(6), 1–17. [Google Scholar] [Crossref]

26. Kim, J., Ferrin, D., & Rao, H. (2008). A trust-based consumer decision-making model. Decision Support Systems, 44(2), 544–564. [Google Scholar] [Crossref]

27. Kotler, P., Keller, K. L., Chernev, A., & others. (2022). Marketing management (16th ed.). Pearson. [Google Scholar] [Crossref]

28. Kumar, V., Sharma, A., Singh, R., & Verma, P. (2024). AI-generated content and consumer engagement in digital marketing. Journal of Interactive Marketing, 68, 101–118. [Google Scholar] [Crossref]

29. Labrecque, L. I. (2014). Fostering consumer–brand relationships in social media environments. Journal of Interactive Marketing, 28(2), 134–148. [Google Scholar] [Crossref]

30. Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust. Journal of Interactive Advertising, 19(1), 58–73. [Google Scholar] [Crossref]

31. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures. Information Systems Research, 13(3), 334–359. [Google Scholar] [Crossref]

32. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. [Google Scholar] [Crossref]

33. Moustakas, E., Lamba, N., Mahmoud, D., & Ranganathan, C. (2020). Blurring lines between fiction and reality: Perspectives on virtual influencers. Proceedings of the International Conference on Cyber Security and Protection of Digital Services, 1–6. [Google Scholar] [Crossref]

34. Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. [Google Scholar] [Crossref]

35. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce. International Journal of Electronic Commerce, 7(3), 101–134. [Google Scholar] [Crossref]

36. Sands, S., Campbell, C., Ferraro, C., & Tsao, H. Y. (2022). Virtual influencers and consumer engagement in digital environments. Business Horizons, 65(6), 789–801. [Google Scholar] [Crossref]

37. Schiffman, L. G., & Wisenblit, J. (2019). Consumer behavior (12th ed.). Pearson. [Google Scholar] [Crossref]

38. Schouten, A. P., Janssen, L., & Verspaget, M. (2020). Celebrity vs. influencer endorsements in advertising. International Journal of Advertising, 39(2), 258–281. [Google Scholar] [Crossref]

39. Singh, H. S., & Singh, S. (2025). The effect of brand loyalty on the buying behaviour of urban and rural consumers in shopping malls in Lucknow. International Journal for Multidisciplinary Research (IJFMR), 7(2). [Google Scholar] [Crossref]

40. Singh, S., & Bhardwaj, R. (2025). Commerce, Trade and Artisans in Varanasi: A Comprehensive Study. The Kashi Journal of Commerce, XXII(1), 164–173. [Google Scholar] [Crossref]

41. Singh, S., & Bhardwaj, R. (2026). Entrepreneurship and innovation as drivers of sustainable economic growth: An empirical study. International Journal of Research and Innovation in Social Science (IJRISS), 10(19), 704–711. https://doi.org/10.47772/IJRISS.2026.10190063 [Google Scholar] [Crossref]

42. Singh, S., & Singh, P. H. S. (2026). Impact of emotional attachment and brand perception on consumer buying behaviour in shopping malls in lucknow city. International Journal of Scientific Research in Engineering and Management, 10(2). https://doi.org/10.55041/IJSREM57101 [Google Scholar] [Crossref]

43. Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? Journal of Retailing and Consumer Services, 53, 101742. [Google Scholar] [Crossref]

44. Stein, J., Becker, M., & Wagner, T. (2024). Virtual influencers and parasocial relationships in digital marketing. Journal of Interactive Media Studies, 15(1), 44–61. [Google Scholar] [Crossref]

45. Thomas, V. L., & Fowler, K. (2021). Close encounters of the AI kind: Use of AI influencers. Journal of Product & Brand Management, 30(3), 473–489. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles

© 2026 IJLTEMAS · RSIS International. All rights reserved. ISSN 2278-2540.