The Influence of Price, Content, and Ease of Use on Consumer Attitude and Purchase Intention in the Video Streaming Industry
DOI:
https://doi.org/10.21632/Keywords:
Video streaming platforms , Price, Content, Ease of use, Purchase intentionAbstract
This study aimed to analyze the influence of price, content, and ease of use on consumer attitudes and purchase intentions toward local and global video streaming platforms in Indonesia, specifically comparing Vidio and Netflix. The research used a quantitative method and involved 107 respondents aged 17 and above who had experience using both platforms, selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS‑SEM). The findings showed that price, content, and ease of use significantly affected consumer attitudes toward Vidio, while only price and ease of use had significant effects for Netflix. Content did not significantly influence attitudes for Netflix. Consumer attitude strongly influenced purchase intention for both platforms. This study filled a research gap by highlighting differences in attitude formation between local and global platforms and providing strategic insights for local providers to enhance competitiveness in Indonesia’s streaming industry.
References
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
Apasrawirote, D., & Yawised, K. (2022). Factors influencing the behavioral and purchase intention on live-streaming shopping. Asian Journal of Business Research, 12(1). https://doi.org/10.14707/ajbr.220119
Asih, D., Teofilus, T., Sutrisno, T. F., & Yoana, C. (2020). The effectiveness of social media based on photo and video sharing towards online purchase intention. Jurnal Siasat Bisnis, 24(2), 176. https://doi.org/10.20885/jsb.vol24.iss2.art7
BytePlus. (n.d.). BytePlus topic: 93451. https://www.byteplus.com/en/topic/93451
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
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), 01–16. https://doi.org/10.36096/ijbes.v6i5.694
Datareportal. (2024). Digital 2024 report. https://datareportal.com/reports/digital-2024
FlixPatrol. (n.d.). Streaming services subscribers in Indonesia. https://flixpatrol.com/streaming-services/subscribers/indonesia
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.
Hendrayati, H., Gaffar, V., & Dwiyanty, D. S. (2016). The influence of celebgram on online purchasing decision. Proceedings of the 1st Global Conference on Business, Management and Entrepreneurship (GCBME 2016). https://doi.org/10.2991/gcbme-16.2016.77
Ho, C.-I., Liu, Y., & Chen, M. (2022). Antecedents and consequences of consumers’ attitudes toward live streaming shopping: An application of the stimulus–organism–response paradigm. Cogent Business & Management, 9(1). https://doi.org/10.1080/23311975.2022.2145673
Januar, S. K., Tanjung, S. M., & Saleh, M. Z. (2023). Analisis strategi pemasaran Netflix di pasar global. Business and Investment Review, 1(6), 27–38. https://doi.org/10.61292/birev.v1i6.74
JustWatch. (2024). Indonesia’s streaming and SVOD market share (Q4 2023). https://indonesiaexpat.id/lifestyle/arts-entertainment/justwatch-reports-indonesias-streaming-and-svod-market-share-in-q4-2023/
Kufaine, N. (2024). Understanding characteristics of Extended Theory of Planned Behaviour: Systematic literature review. Open Journal of Philosophy, 14(4), 848–859. https://doi.org/10.4236/ojpp.2024.144057
Kweon, H. J., & Kweon, S. H. (2021). Pricing strategy within the U.S. streaming services market: A focus on Netflix’s price plans. International Journal of Contents. https://doi.org/10.5392/IJoC.2021.17.2.001
Machfud, M. A., Laksmi, A. A., & Hong, T. (2024). Factors influencing young audience preferences for digital platforms in Indonesia. Vokasi UNESA Bulletin of Engineering, Technology and Applied Science, 1(2), 81–91. https://doi.org/10.26740/vubeta.v1i2.35989
Merdeka. (2024). Vidio terpasang di 8 juta smart TV dan STB di 2024. https://www.merdeka.com/teknologi/vidio-terpasang-di-8-juta-smart-tv-dan-stb-di-2024-334283-mvk.html
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
Putri, A. R. F., & Paksi, A. K. (2021). The strategy of Netflix to dominate the entertainment media market in Indonesia 2016–2021. Jurnal Ilmiah Dinamika Sosial, 5(1), 110–123. https://doi.org/10.38043/jids.v5i1.3049
Sandsgaard, E. A., & Sem, K. (2023). Competitive advantages in the video streaming industry. Norwegian School of Economics.
Shi, Y., & Jia-lai, Z. (2021). Analysis of foreign video streaming service entering Chinese streaming media market: A case study of Netflix. Advances in Social Science, Education and Humanities Research. https://doi.org/10.2991/assehr.k.211020.177
Statista. (n.d.). Leading subscription video-on-demand services in Indonesia in 2023. https://www.statista.com/statistics/1260227/indonesia-leading-subscription-video-on-demand-services/
Sulaiman, D. Y., & Tjhin, V. U. (2023). Continuance intention to subscribe to a video-on-demand service: A study of Netflix users in Indonesia. BINUS Graduate Program, Bina Nusantara University.
Tumiwa, E. S. D., & Furinto, A. (2022). Developing strategy to enhance user retention and product preference in Indonesia OTT industry (Case study of Vidio.com). International Journal of Current Science Research and Review, 5(4).
Yan, Z. (2022). A case study of how Netflix adapts its development strategy to the media system in Canada. BCP Social Sciences & Humanities, 19, 323–329. https://doi.org/10.54691/bcpssh.v19i.1624
Yuan, Y. (2023). An investigation on the streaming industry: With the case of Netflix. SHS Web of Conferences, 165, 1001. https://doi.org/10.1051/shsconf/202316501001
Submitted
Accepted
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Malika EL Khaldi, Atik Aprianingsih (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal Author(s) Rights
For IRJBS to publish and disseminate research articles, we need publishing rights (transferred from the author(s) to the publisher). This is determined by a publishing agreement between the Author(s) and IRJBS. This agreement deals with the transfer or license of the copyright of publishing to IRJBS, while Authors still retain significant rights to use and share their own published articles. IRJBS supports the need for authors to share, disseminate and maximize the impact of their research and these rights, in any databases.
As a journal Author, you have rights to many uses of your article, including use by your employing institute or company. These Author rights can be exercised without the need to obtain specific permission. Authors publishing in IRJBS journals have comprehensive rights to use their works for teaching and scholarly purposes without needing to seek permission, including:
- use for classroom teaching by Author or Author's institution and presentation at a meeting or conference and distributing copies to attendees;
- use for internal training by the author's company;
- distribution to colleagues for their research use;
- use in a subsequent compilation of the author's works;
- inclusion in a thesis or dissertation;
- reuse of portions or extracts from the article in other works (with full acknowledgment of the final article);
- preparation of derivative works (other than commercial purposes) (with full acknowledgment of the final article);
- voluntary posting on open websites operated by the author or the author’s institution for scholarly purposes,
(But it should follow the open access license of Creative Common CC-by-SA License).
Authors/Readers/Third Parties can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially. Still, they must give appropriate credit (the name of the creator and attribution parties (authors' detail information), a copyright notice, an open access license notice, a disclaimer notice, and a link to the material), provide a link to the license, and indicate if changes were made (Publisher indicates the modification of the material (if any) and retain an indication of previous modifications.
Authors/Readers/Third Parties can read, print and download, redistribute or republish the article (e.g. display in a repository), translate the article, download for text and data mining purposes, reuse portions or extracts from the article in other works, sell or re-use for commercial purposes, remix, transform, or build upon the material, they must distribute their contributions under the same license as the original Creative Commons Attribution-ShareAlike (CC BY-SA).
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.






