CRISIS-DRIVEN DIGITAL TRANSFORMATION: A MULTIVARIATE ANALYSIS OF OTT PLATFORM ADOPTION AND CONSUMER BEHAVIOR IN INDIA DURING COVID-19

Authors

  • Gulam Mustafa Independent Researcher Author

Keywords:

OTT platforms, Technology Acceptance Model, Uses & Gratifications, crisis behaviour, digital adoption, consumer behaviour, India.

Abstract

This study investigates the transformative impact of the COVID-19 pandemic on Over The-Top (OTT) platform adoption and consumer behaviour in India, focusing on the migration from traditional entertainment media to digital streaming services during crisis conditions. A cross-sectional survey was conducted among 400 Indian consumers aged 18–35 years using stratified sampling across major cities. Data were collected via an online structured questionnaire and analysed using SPSS 29.0 and AMOS, employing descriptive statistics, chi-square tests, correlation analysis, multiple and hierarchical regressions, and structural equation modelling (SEM) to test the proposed relationships. Results indicate a substantial increase in OTT subscriptions during COVID-19, with significant behavioural substitution away from theatres (−74.7%) and increased weekly OTT viewing (+131%). Perceived usefulness, ease of use, and entertainment gratifications significantly predicted behavioural intention, while lockdown duration and income acted as strong contextual moderators (final model R² = 0.69). Findings show that crisis exposure significantly amplified technology acceptance and gratification-driven motives, accelerating OTT adoption. The study extends existing Technology Acceptance and Uses & Gratifications frameworks by examining their joint applicability in a crisis-driven context, providing multivariate empirical validation of OTT adoption in emergent market settings. The study offers managerial insights for segmentation, localization, and post-crisis retention strategies.

References

Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665–694. https://doi.org/10.2307/3250951

Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T

Anderson, C. (2020). COVID-19 and the future of entertainment: Pandemic-driven digital disruption. Journal of Media Economics, 33(3), 135–150.

Bhattacharjee, S., & Rai, A. (2024). Factors influencing OTT platform adoption in India: A technology acceptance perspective. International Journal of Electronic Business, 19(2), 74–95.

Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, S. K. (2023). Adoption of OTT streaming services: A systematic review and research agenda. Telematics and Informatics, 72, 102183. https://doi.org/10.1016/j.tele.2022.102183

Choi, Y., & Kim, H. (2022). Uses and gratifications in video streaming: The role of content and interactivity. Journal of Broadcasting & Electronic Media, 66(1), 22–41. https://doi.org/10.1080/08838151.2021.2008673

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

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Toward a revised theoretical model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y

Dwivedi, Y. K., Shareef, M. A., Simintiras, A. C., & Weerakkody, V. (2021). Digital transformations and technology acceptance: A review. Information Systems Frontiers, 23(5), 1097–1113. https://doi.org/10.1007/s10796-020-10035-8

Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study—A case of China. Computers in Human Behavior, 53, 249–262. https://doi.org/10.1016/j.chb.2015.07.014

Gupta, A., & Jain, R. (2025). OTT streaming during the COVID-19 pandemic: Consumption patterns and psychological impacts. Computers in Human Behavior Reports, 1, 100019.

Hong, W., Thong, J. Y. L., Wong, W. M., & Tam, K. Y. (2002). Determinants of user acceptance of digital libraries: An empirical examination of individual differences and system characteristics. Journal of Management Information Systems, 18(3), 97–124. https://doi.org/10.1080/07421222.2002.11045692

Katz, E., Blumler, J. G., & Gurevitch, M. (1974). Uses and gratifications research. Public Opinion Quarterly, 37(4), 509–523. https://doi.org/10.1086/268109

Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping. Springer.

Liang, H., Xue, Y., & Wilkin, C. L. (2005). Cognitive security, culture, and perceived risk: A theoretical and empirical investigation of acceptance of IT-based security controls. Journal of Global Information Management, 13(3), 1–19. https://doi.org/10.4018/jgim.2005070101

Madan, P., & Gupta, R. (2024). Pandemic-driven digital transformation in Indian media and entertainment. International Journal of Digital Economy, 6(1), 23–44.

Maduka, N., & Okeke, O. (2023). Examining binge-watching behaviour on OTT platforms during COVID-19 lockdowns. Journal of Consumer Behaviour, 22(5), 399–412. https://doi.org/10.1002/cb.2095

Mittal, S., & Kumar, P. (2025). Behavioral shifts in OTT entertainment during post-COVID era: A consumer insight study. Journal of Consumer Marketing, 42(3), 389–404.

Park, S., & Gretzel, U. (2010). Success factors for destination marketing web sites: A qualitative meta-analysis. Journal of Travel Research, 49(2), 159–180. https://doi.org/10.1177/0047287509336471

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an online payment system implementation: An extension of the technology acceptance model (TAM). Behaviour & Information Technology, 34(1), 1–20. https://doi.org/10.1080/0144929X.2013.857357

Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3–37. https://doi.org/10.1207/S15327825MCS0301_02

Sharma, G., & Sharma, S. (2025). Behavioral intentions toward OTT platforms: The role of social influence and facilitating conditions. Journal of Retailing and Consumer Services, 68, 103115. https://doi.org/10.1016/j.jretconser.2022.103115

Singh, S. K., & Hess, T. (2017). How chief digital officers promote the digital transformation of their companies. MIS Quarterly Executive, 16(1), 1–17.

Smith, A. (2021). Digital media consumption during global crises: A multi-country analysis. Global Media Journal, 19(38), 1–18.

Upadhyay, N., & Singh, A. (2023). Mobile OTT video streaming behaviour: An empirical investigation in India. Telecommunications Policy, 47(5), 102410. https://doi.org/10.1016/j.telpol.2023.102410

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

Viswanathan, V., & Basu, S. (2024). OTT platforms and digital advertising: An evolving relationship. Journal of Interactive Advertising, 24(2), 81–98. https://doi.org/10.1080/15252019.2023.2187654

Wang, X., & Kim, H. (2022). The dark side of streaming: Excessive use and its psychological consequences during COVID-19. Internet Research, 32(3), 871–890. https://doi.org/10.1108/INTR-03-2021-0163

World Economic Forum. (2021). Shaping the future of media (White paper). https://www.weforum.org/reports/shaping-the-future-of-media

Yadav, R., & Purohit, H. (2024). Digital content preferences and OTT consumption in India: A segmentation study. Media Asia, 51(3), 151–165. https://doi.org/10.1080/01296612.2023.2176543

Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. International Journal of Mobile Communications, 8(4), 309–331. https://doi.org/10.1504/IJMC.2010.033358

Published

2026-04-04

How to Cite

CRISIS-DRIVEN DIGITAL TRANSFORMATION: A MULTIVARIATE ANALYSIS OF OTT PLATFORM ADOPTION AND CONSUMER BEHAVIOR IN INDIA DURING COVID-19 . (2026). IITM JOURNAL OF BUSINESS STUDIES (JBS), 13(1), 61-86. https://acspublisher.com/journals/index.php/jbs/article/view/24153