A Study of Consumers' Perceptions of Online Shopping-Related Content

The purpose of this study is to examine the influence of digital content on consumers' online behavior. The article discusses the characteristics of digital content marketing in modern business. It highlights that Georgian companies are increasingly utilizing digital technologies; however, research on content marketing specifically related to online shopping is still limited, which hinders the development of the local market in this area. Based on an analysis of various literature, research hypotheses have been formulated, and a conceptual model for the study has been developed. This paper employs a quantitative research method, specifically an online survey. The main variables of the study include the perceived usefulness of content, ease of use, informativeness, consumer engagement, attitudes towards content, and purchasing intentions. A total of 805 respondents participated in the survey, and the data collected were processed using regression analysis. The study produced statistically significant results that validate the effectiveness of the developed model. The findings of this study hold theoretical significance for the advancement of content marketing. They will assist companies in creating content that is tailored to their target customers and in establishing effective communications with them.

Online Shopping, digital content marketing, consumer behavior, marketing research

1. Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. [Google Scholar] [Crossref]

2. AlFraihat, S. F. A., Ali, A. M., Hodaifa, G., & Alghizzawi, M. (2025). The Impact of Digital Content Marketing on Brand Defence: The Mediating Role of Behavioural Engagement and Brand Attachment. Administrative Sciences, 15(4), 124. [Google Scholar] [Crossref]

3. Asghar, A., Haneef, M., Dhillon, N. R., & Jan, R. (2024). The influence of social media use on academic performance: Exploring the role of cognitive load, Self-Regulation, and motivation among student. Review of Applied Management and Social Sciences, 7(4), 725–740. [Google Scholar] [Crossref]

4. Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the association for information systems, 8(4), 3. [Google Scholar] [Crossref]

5. Bu, Y., Parkinson, J., & Thaichon, P. (2021). Digital content marketing as a catalyst for e-WOM in food tourism. Australasian Marketing Journal, 29(2), 142-154. [Google Scholar] [Crossref]

6. Chen, X., Shen, X., Huang, X., & Li, Y. (2021). Research on social media content marketing: An empirical analysis based on China’s 10 metropolis for Korean brands. Sage Open, 11(4), 21582440211052951. [Google Scholar] [Crossref]

7. Chuttur, M. (2009). Overview of the technology acceptance model: Origins, developments and future directions. [Google Scholar] [Crossref]

8. Datareportal. (2024). Digital 2024: Georgia. Retrieved from: https://datareportal.com/reports/digital-2024-georgia [Google Scholar] [Crossref]

9. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340. [Google Scholar] [Crossref]

10. Du Plessis, C. (2022). A scoping review of the effect of content marketing on online consumer behavior. Sage Open, 12(2), 21582440221093042. [Google Scholar] [Crossref]

11. Fan, L., Wang, Y., & Mou, J. (2024). Enjoy to read and enjoy to shop: An investigation on the impact of product information presentation on purchase intention in digital content marketing. Journal of Retailing and Consumer Services, 76, 103594. [Google Scholar] [Crossref]

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

13. Gregoriades, A., Pampaka, M., Herodotou, H., & Christodoulou, E. (2021). Supporting digital content marketing and messaging through topic modelling and decision trees. Expert systems with applications, 184, 115546. [Google Scholar] [Crossref]

14. Handoyo, S. (2024). Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce. Heliyon, 10(8), e29714. [Google Scholar] [Crossref]

15. Heslop, L. A., Papadopoulos, N., & Bourk, M. (1998). An interregional and intercultural perspective on subcultural differences in product evaluations. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 15(2), 113-127. [Google Scholar] [Crossref]

16. Ho, J., Pang, C., & Choy, C. (2020). Content marketing capability building: a conceptual framework. Journal of Research in Interactive Marketing, 14(1), 133-151. [Google Scholar] [Crossref]

17. Hollebeek, Linda & Macky, Keith. (2019). Digital Content Marketing's Role in Fostering Consumer Engagement, Trust, and Value: Framework, Fundamental Propositions, and Implications. Journal of Interactive Marketing. 45. 27-41. [Google Scholar] [Crossref]

18. Izogo, E. E., & Mpinganjira, M. (2024). Digital content marketing consumption motives in the age of social media: an investigation of relational and monetary outcomes. Aslib Journal of Information Management, 76(2), 353-378. [Google Scholar] [Crossref]

19. Jefferson, S., & Tanton, S. (2015). Valuable content marketing: how to make quality content your key to success. Kogan Page Publishers. [Google Scholar] [Crossref]

20. Jilv, X., Zelin, T., Rehman, M., & Hussain, T. (2025). Informational or emotional? The influencing mechanism of digital corporate social responsibility related interactive content on product purchase intention. Acta Psychologica, 255, 104988. [Google Scholar] [Crossref]

21. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610. [Google Scholar] [Crossref]

22. Kwon, J. H., Kim, S., Lee, Y. K., & Ryu, K. (2021). Characteristics of social media content and their effects on restaurant patrons. Sustainability, 13(2), 907. [Google Scholar] [Crossref]

23. Lim, W. M., & Ting, D. H. (2012). E-shopping: An analysis of the uses and gratifications theory. Modern Applied Science, 6(5), 48. [Google Scholar] [Crossref]

24. Lim, W. M., & Ting, D. H. (2012). E-shopping: an Analysis of the Technology Acceptance Model. Modern Applied Science, 6(4), 49. [Google Scholar] [Crossref]

25. Liu, K., & Xian, H. (2023). Research on the Evaluation of Tourism Digital Content Marketing Based on PCA-AHP. In: Hassanien, A.E., Zheng, D., Zhao, Z., Fan, Z. (eds) Business Intelligence and Information Technology Smart Innovation, Systems and Technologies. Springer, Singapore. 358. [Google Scholar] [Crossref]

26. Lou, C., & Xie, Q. (2021). Something social, something entertaining? How digital content marketing augments consumer experience and brand loyalty. International Journal of Advertising, 40(3), 376-402. [Google Scholar] [Crossref]

27. Madi, J., Khasawneh, M. A., & Dandis, A. O. (2024). Visiting and revisiting destinations: impact of augmented reality, content quality, perceived ease of use, perceived value and usefulness on E-WOM. International Journal of Quality & Reliability Management, 41(6), 1550–1571. [Google Scholar] [Crossref]

28. Mathew, V., & Soliman, M. (2021). Does digital content marketing affect tourism consumer behavior? An extension of t echnology acceptance model. Journal of Consumer Behaviour, 20(1), 61-75. [Google Scholar] [Crossref]

29. Matin, A., Khoshtaria, T., & Todua, N. (2022). The impact of social media influencers on brand awareness, image and trust in their sponsored content: An empirical study from Georgian social media users. International Journal of Marketing, Communication and New Media, 10(18). [Google Scholar] [Crossref]

30. Mensah, I. K., Adams, S., Adjei, J. K., & Mwakapesa, D. S. (2022). Drivers of egovernment adoption amidst COVID-19 pandemic: The Information Adoption Model (IAM) approach. Information development, 38(4), 494-509. [Google Scholar] [Crossref]

31. Mokha, A. K., & Kumar, P. (2021). Using the Technology Acceptance Model (TAM) in Understanding Customers’ Behavioural Intention to Use E-CRM: Evidence from the Banking Industry. Vision the Journal of Business Perspective. [Google Scholar] [Crossref]

32. Musa, H. G., Fatmawati, I., Nuryakin, N., & Suyanto, M. (2024). Marketing research trends using technology acceptance model (TAM): A comprehensive review of researches (2002–2022). Cogent business & management, 11(1), 2329375. [Google Scholar] [Crossref]

33. Nunnally, J.C. (1967). Psychometric Theory. New York, NY: McGraw-Hill Book Company. [Google Scholar] [Crossref]

34. Odoom, R. (2025). Digital content marketing and consumer brand engagement on social media-do influencers’ brand content moderate the relationship? Journal of Marketing Communications, 31(4), 491-514. [Google Scholar] [Crossref]

35. Pektas, S. Y., & Hassan, A. (2020). The effect of digital content marketing on tourists’ purchase intention. Journal of Tourismology, 6(1), 79-98. [Google Scholar] [Crossref]

36. Phan, Q. P. T., Pham, T. N., & Nguyen, L. H. L. (2020). How to drive brand engagement and EWOM intention in social commerce: A competitive strategy for the emerging market. Journal of Competitiveness. [Google Scholar] [Crossref]

37. Shuqair, S., Cragg, P., Zaidan, A., & Mitchell, T. (2016). The influence of users generated content on attitude towards brand and purchase intentions–case of Bahrain. International Journal of Business Marketing and Management, 1(5), 9-20. [Google Scholar] [Crossref]

38. Stephen, A. T., Sciandra, M. R., & Inman, J. J. (2015). The effects of content characteristics on consumer engagement with branded social media content on Facebook. Marketing Science Institute Working Paper Series, 15(110), 1-51. [Google Scholar] [Crossref]

39. Terho, H., Mero, J., Siutla, L., & Jaakkola, E. (2022). Digital content marketing in business markets: Activities, consequences, and contingencies along the customer journey. Industrial Marketing Management, 105, 294-310. [Google Scholar] [Crossref]

40. Todua, N., & Jashi, C. (2018). Influence of social marketing on the behavior of Georgian consumers regarding healthy nutrition. Bull. Georg. Natl. Acad. Sci, 12(2), 183-190. [Google Scholar] [Crossref]

41. Todua, N., & Todua, N. (2024). The Influence of Digital Media Marketing Activities on Healthcare Consumer Behavior. In International Scientific-Practical Conference (pp. 208-221). Cham: Springer Nature Switzerland. [Google Scholar] [Crossref]

42. Todua, N., & Urotadze, E. (2025). Effect of Social Media Influencers on Consumer Brand Engagement and Its Implications on Purchase Intention. In Brand Creation and Management in the Phygital Era (pp. 541-562). IGI Global Scientific Publishing. [Google Scholar] [Crossref]

43. Vahabi, S. M., Rahiminik, A., & Heydari, S. A. (2025). Identifying the Antecedents and Consequences of Digital Content Marketing in Online Insurance Companies. International Journal of Digital Content Management, 6(10), 220-250. [Google Scholar] [Crossref]

44. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. [Google Scholar] [Crossref]

45. Wang, Ming, & Jaewon Choi. (2022). How Web Content Types Improve Consumer Engagement through Scarcity and Interactivity of Mobile Commerce? Sustainability 14(9): 4898. [Google Scholar] [Crossref]

46. YU. J. & LI. J. (2023). The Influence of Content Marketing on Consumers' Purchase Intention Based on SOR Theory. Journal of Asia-Pacific and European Business; 3 (1). [Google Scholar] [Crossref]

47. Yüksel, Hale. (2016). Factors Affecting Purchase Intention in YouTube Videos. Bilgi Ekonomisi ve Yönetimi Dergisi. 11, 33-47. [Google Scholar] [Crossref]

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