Purpose: The research aimed to analyze how user engagement acted as a mediating factor in the association among various aspects of the OTT platform experience and overall user satisfaction (US). Integrating the technology acceptance model into this study provided insights into user experience with OTT platforms. Design/Methodology/Approach : This study used a quantitative approach. It was based on primary data collected from a sample of 384 OTT users via a structured survey. The study tested the impact of perceived usefulness (PU) and social influence (SI) on user satisfaction (US). The study also delineated the mediating role of user engagement and the moderating effect of technological readiness (TR) on the US. Moreover, the study tested the impact of predictor variables on the response variable using PLS-SEM.

Findings: The study found that the US was vital for OTT platforms to remain competitive and deliver an extraordinary user experience. User engagement (UE) was a noteworthy positive mediator between user experience and satisfaction. A positive user experience led to superior engagement, which, in turn, amplified satisfaction. Practical

Implications: This study’s findings offered valuable insights for OTT service providers, underscoring the importance of enhancing platform usability, leveraging SI, and upholding UE to optimize US. The platform managers gave greater consideration to visual elements, such as colors, design, and structure, which improved the sensorial experience. Originality/

Value: This study offered unique insights into OTT platforms in the US, focusing on the mediating role of UE in relation to PU, SI, US, and technological readiness.

1. Aggarwal, P., Chauhan, K., & Chaturvedi, V. (2025). The moderating role of perceived risk in social media marketing's impact on CE, e-WOM, and online repurchase intention in e-commerce: Integrating ELM and SOR models. Prabandhan: Indian Journal of Management, 18(3), 8–29. https://doi.org/10.17010/pijom/2025/v18i3/174229
2. Arora, S. (2025). The impact of emotional storytelling on brand loyalty: A study on consumer engagement through social media advertising. Journal of Information Systems Engineering and Management, 10(15s), 750–761. https://doi.org/10.52783/jisem.v10i15s.2516
3. Balakrishnan, J., & Griffiths, M. D. (2017). Social media addiction: What is the role of content in YouTube? Journal of https://doi.org/10.1556/2006.6.2017.058 Behavioral Addictions, 6(3), 364–377.
4. Basha, S. M., & Reddy, C. V. (2024a). Impact of over-the-top (OTT) media service on purchase intention in India. Educational Administration: Theory and Practice, 30(4), 7310-7323. https://doi.org/10.53555/kuey.v30i4.2559
5. Basha, S. M., & Reddy, C. V. (2024b). The digital revolution: Exploring influential factors in OTT platform adoption. Journal https://doi.org/10.36478/makjet.2024.1.1.13 of Economic Theory, 18(1), 1–13.
6. Basuki, R., Tarigan, Z. J., Siagian, H., Limanta, L. S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era. International Journal of Data https://doi.org/10.5267/j.ijdns.2021.9.003 and Network Science, 6, 253–262.
7. Beyari, H., & Abareshi, A. (2018). An empirical study of how social influence impacts customer satisfaction with social commerce sites. In F. Saeed, N. Gazem, F. Mohammed, & A. Busalim (eds.), Recent trends in data science and soft computing. IRICT 2018. Advances in Intelligent Systems and Computing (Vol. 843, pp. 973–984). Springer. https://doi.org/10.1007/978-3-319-99007-1_90
8. Camilleri, M. A., & Falzon, L. (2021). Understanding motivations to use online streaming services: Integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing-ESIC, 25(2), 217–238. https://doi.org/10.1108/SJME-04-2020-0074
9. Cha, J. (2013). Predictors of television and online video platform use: A coexistence model of old and new video platforms. Telematics and Informatics, 30(4), 296–310. https://doi.org/10.1016/j.tele.2013.01.001
10. Chakraborty, D., & Dash, G. (2022). 'The new normal' and the strategies of marketers to attract consumers. Indian Journal of Marketing, 52(1), 58–62. https://doi.org/10.17010/ijom/2022/v52/i1/167652
11. Chakraborty, T., & Dhir, S. (2023). Reframing tech-based strategic HRD practices in organizational path: Is the journey https://doi.org/10.1177/21582440231173652 engaging? SAGE Open, 13(2).
12. Chang, P.-C., & Chang, H.-Y. (2020). Exploring the factors influencing continuance usage of over-the-top services: The interactivity, consumption value, and satisfaction perspectives. International Journal of Technology and Human Interaction (IJTHI), 16(4), 118–138. https://doi.org/10.4018/IJTHI.2020100108
13. Chang, P.-C., & Chiu, Y.-P. (2023). Factors influencing switching intention and customer retention of over-the-top (OTT) viewing behavior in Taiwan: The push–pull–mooring model. Emerging Media, 1(2), 196–217. https://doi.org/10.1177/27523543231210140
14. Chang, Y.-W., & Chen, J. (2021). What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness. Journal of Retailing and Consumer Services, 58, Article ID 102325. https://doi.org/10.1016/j.jretconser.2020.102325
15. Chawla, U., Shaw, J., & Choudhary, S. (2022). Streaming apps - A study on consumer satisfaction toward the usage of these platforms during COVID-19 in Kolkata, West Bengal. Indian Journal of Marketing, 52(10), 33–49. https://doi.org/10.17010/ijom/2022/v52/i10/172346
16. Chou, S.-F., Horng, J.-S., Liu, C.-H., & Lin, J.-Y. (2020). Identifying the critical factors of customer behavior: An integration perspective of marketing strategy and components of attitudes. Journal of Retailing and Consumer Services, 55, Article ID 102113. https://doi.org/10.1016/j.jretconser.2020.102113
17. Chu, W.-Y., & Wu, Y.-L. (2024). The influence of moderating factors on consumer usage of OTT platforms: Using Netflix as an example. International Journal of Business Ecosystem & Strategy, 6(5), 1–16. https://doi.org/10.36096/ijbes.v6i5.694
18. Dahiya, A., Bhatt, P., Kumar, A., & Kant, S. (2025). Factors influencing green product purchase intention: A structural equation modeling approach utilizing PEST framework. Indian Journal of Marketing, https://doi.org/10.17010/ijom/2025/v55/i8/175210 55(8), 69–88.
19. 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
20. Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., Kumar, V., Rahman, M. M., Raman, R., Rauschnabel, P. A., Rowley, J., Salo, J., Tran, G. A., & Wang, Y. (2021). Setting the future of digital and social media marketing research: Perspectives and research propositions. International Journal of Information Management, 59, Article ID 102168. https://doi.org/10.1016/j.ijinfomgt.2020.102168
21. Garg, P., & Gupta, N. (2025). Drivers influencing consumers' adoption of over-the-top video streaming platforms: An exploratory sequential analysis. Indian Journal of Marketing, 55(2), 69–85. https://doi.org/10.17010//ijom/2025/v55/i2/174749
22. Gupta, K. P., Joshi, D., & Singh, S. (2025). On the consumption of OTT services in India: Insights from technology acceptance model and the uses and gratifications theory. Innovation & Management Review, 22(3), 175–186. https://doi.org/10.1108/INMR-08-2023-0141
23. Gupta, S., & Tomar, R. (2023). What drives the user's continuous usage intention of OTT video platforms? Identifying the role of cognitive absorption and perceived usefulness with the impact of OTT content on it. International Journal of Professional Business Review, 8(4), Article ID e01494. https://doi.org/10.26668/businessreview/2023.v8i4.1494
24. Ha, J., & Jang, H. (2020). The role of perceived value and customer engagement in the relationship between quality of experience and customer satisfaction in video streaming services. Telematics and Informatics, 54, Article ID 101484. https://doi.org/10.1016/j.tele.2020.101484
25. Jones, M. A., & Taylor, V. A. (2018). Marketer requests for positive post-purchase satisfaction evaluations: Consumer depth interview findings. Journal of Retailing and Consumer Services, 41, 218–226. https://doi.org/10.1016/j.jretconser.2017.12.013
26. Kalra, N., Deshwal, P., Gokarn, S., & Kushwah, S. (2024). Antecedents and outcomes of customer over-the-top experience: A systematic literature review. IIMT Journal of Management, 1(1), 47–87. https://doi.org/10.1108/IIMTJM-10-2023-0043
27. Khatri, S., & Kale, S. (2022). Social listening as a marketing strategy to analyze beyond consumer buyology in the OTT industry: A research note. Prabandhan: Indian Journal of Management, 15(1), 53–58. https://doi.org/10.17010/pijom/2022/v15i1/167861
28. Kim, H., Yoon, C., & Park, M. (2018). A study on the determinants of customer satisfaction in OTT video services. Journal of Distribution Science, 16(7), 33–42. https://doi.org/10.15722/jds.16.7.201807
29. Kim, J., Hong, D., & Jun, J. W. (2025). Effects of sensation seeking, creator attractiveness, content novelty, and credibility on branded entertainment. Indian Journal of Marketing, 55(2), 33–52. https://doi.org/10.17010//ijom/2025/v55/i2/174747
30. Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: The role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126. https://doi.org/10.1108/IJSMS-06-2017-0050
31. Kumar, A., & Sharma, R. (2023). The future of OTT: Trends and forecasts for 2023–2025. International Journal of Information Management, 65, 102–113.
32. Kumar, G. A., & Panduranga. (2024). Customer satisfaction towards OTT platform. International Journal of Innovative Science and Research Technology, 9(9), 2418–2423. https://doi.org/10.38124/ijisrt/IJISRT24SEP597
33. Latiff, D. I., Yassin, M., Bakar, A. A., Ridzuan, A. R., Ali, A., Ismail, S. N., Anuar, N. K., & Kamal, S. (2017). Cognitive drives to embracing internet TV to enhance students learning experience. Advanced Science the Letters, 23(8), 7394–7398. https://doi.org/10.1166/asl.2017.9483
34. Leonard, L. N., & Riemenschneider, C. K. (2008). What factors influence the individual impact of web? An initial model. Electronic Markets, 18(1), 75–90. https://doi.org/10.1080/10196780701797698
35. Lim, W. M. (2022). Toward a theory of social influence in the new normal. Activities, Adaptation & Aging, 46(1), 1–8. https://doi.org/10.1080/01924788.2022.2031165
36. Mpinganjira, M. (2019). Cognitive absorption and behavioural intentions in virtual health communities: A focus on content posters. Journal of Systems and Information Technology, 21(1), 122–145. https://doi.org/10.1108/JSIT-06-2017-0044
37. Nagaraj, S., Singh, S., & Yasa, V. R. (2021). Factors affecting consumers' willingness to subscribe to over-the-top (OTT) video streaming services in India. Technology in Society, 65, Article ID 101534. https://doi.org/10.1016/j.techsoc.2021.101534
38. Nandi, S., & Prasad, S. S. (2024). Customer engagement marketing and firms' deliberation on e-word of mouth communication on online platforms: A study on millennials and zoomers. Indian Journal of Marketing, 54(1), 8–28. https://doi.org/10.17010/ijom/2024/v54/i1/173380
39. Oyedele, A., & Simpson, P. M. (2018). Streaming apps: What consumers value. Journal of Retailing and Consumer https://doi.org/10.1016/j.jretconser.2017.04.006 Services, 41, 296–304.
40. Pappu, S., Kotni, V. V., Prasanna, I. L., & Krishna, S. V. (2025). Digital marketing influence research in consumer behavior: A systematic literature review using TCCM and future research agenda. Indian Journal of Marketing, 55(6), 9–28. https://doi.org/10.17010/ijom/2025/v55/i6/175108
41. Payal, R., Sharma, N., & Dwivedi, Y. K. (2024). Unlocking the impact of brand engagement in the metaverse on real-world purchase intentions: Analyzing pre-adoption behavior in a futuristic technology platform. Electronic Commerce Research and Applications, 65, Article ID 101381. https://doi.org/10.1016/j.elerap.2024.101381
42. Pekpazar, A., Coskun, M. C., & Altin Gumussoy, C. (2023). Conceptualization and survey instrument development for over-the-top platforms' usability. Journal of Theoretical and Applied Electronic Commerce Research, 18(4), 1764–1796. https://doi.org/10.3390/jtaer18040089
43. Prabhavathy, R., & SenthilKumar, S. (2025). User experiences in over-the-top (OTT) streaming media platform services. Qubahan Academic Journal, 5(2), 82–99. https://doi.org/10.48161/qaj.v5n2a1600
44. Puthiyakath, H. H., & Goswami, M. P. (2021). Is over the top video platform the game changer over traditional TV channels in India? A niche analysis. Asia Pacific Media Educator, 31(1), 133–150. https://doi.org/10.1177/1326365X211009639
45. Rajkamal, N., & Sripriya, M. (2024). Enhancing user engagement and satisfaction in Ott platforms through Dcou-Cif paradigm integration: A focus on user-centric features, adaptive delivery, and dynamic content optimization. Journal of Computational Analysis and Applications, 33(2), 143–153. https://eudoxuspress.com/index.php/pub/article/view/289
46. Rane, N. L., Achari, A., & Choudhary, S. P. (2023). Enhancing customer loyalty through quality of service: Effective strategies to improve customer satisfaction, experience, relationship, and engagement. International Research Journal of Modernization in Engineering Technology and Science, 5(5), 427–452. https://doi.org/10.56726/IRJMETS38104
47. Roca, J. C., García, J. J., & de la Vega, J. J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management & Computer Security, 17, 96–113. https://doi.org/10.1108/09685220910963983
48. Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in online learning: An extension of the technology acceptance model. Information & Management, 42(2), 317–327. https://doi.org/10.1016/j.im.2003.12.013
49. Sharma, D., & Panda, T. K. (2025). Consumer perceived value and decision outcome in multi-channel retail: A systematic literature review. Indian Journal of Marketing, 55(2), 8–32. https://doi.org/10.17010/ijom/2025/v55/i2/174746
50. Shin, S., & Park, J. (2021). Factors affecting users' satisfaction and dissatisfaction of OTT services in South Korea. Telecommunications Policy, 45(9), Article ID 102203. https://doi.org/10.1016/j.telpol.2021.102203
51. Siji, S. (2021). Social commerce of Indian customers: Role of social media usage. Indian Journal of Marketing, 51(8), 26–38. https://doi.org/10.17010/ijom/2021/v51/i8/165760
52. Srivastava, M., & Fernandes, S. (2022). Can Indian millennials be engaged through online customer gamified experience? Indian Journal of Marketing, 52(6), 24–40. https://doi.org/10.17010/ijom/2022/v52/i6/169834
53. Tabeck, P. S., & Singh, A. B. (2022). Acceptance of mobile apps among bottom of pyramid customers of urban areas. Indian Journal of Marketing, 52(9), 43–58. https://doi.org/10.17010/ijom/2022/v52/i9/171984
54. Tanwar, A. S., Chaudhry, H., & Srivastava, M. K. (2021). Influencer marketing as a tool of digital consumer engagement: A systematic literature review. Indian Journal of Marketing, 51(10), 27–42. https://doi.org/10.17010/ijom/2021/v51/i10/166439
55. Tefertiller, A. (2018). Media substitution in cable cord-cutting: The adoption of web-streaming television. Journal of Broadcasting & Electronic Media, 62(3), 390–407. https://doi.org/10.1080/08838151.2018.1451868
56. 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
57. Yang, H., & Lee, H. (2018). Exploring user acceptance of streaming media devices: An extended perspective of flow theory. Information Systems and e-Business Management, 16(1), 1–27. https://doi.org/10.1007/s10257-017-0339-x