Studying Indonesian Local Streaming Services Adoption Using Extended UTAUT2 Model
DOI:
https://doi.org/10.55927/eajmr.v3i7.8165Keywords:
Over-The-Top (OTT), UTAUT2, Vidio, Continuance IntentionAbstract
This research aims to analyze the factors that influence continue use intention among local streaming service users from Indonesia namely Vidio using UTAUT2 model and additional variables in the form of Discovery of New Content and Ubiquity. This research using 401 Vidio user respondents and analyzing using SmartPLS software. The results of this study shows performance expectancy, social influence, price value, habit, and ubiquity are considered to significantly influence the continuance intention for the Indonesian local streaming services named Vidio. This study is the first ever to examine the adoption of local OTT streaming services in the country of Indonesia using the extended UTAUT2 model.
References
Abdul Latiff, D. I., Muhamed Ayub, M. S., Kamal, S., Megat Zambri, W. A. A., & Salleh @ Abdul Latif, A. S. S. (2022). The role of personal innovativeness and social influence towards over the top (OTT) video streaming during the covid-19 pandemic. International Journal of Academic Research in Business and Social Sciences, 12(6). https://doi.org/10.6007/ijarbss/v12-i6/13998
Alfanur, F., & Kadono, Y. (2021). EMPIRICAL STUDY OF PURCHASE INTENTION AND BEHAVIOR OF E-COMMERCE CONSUMERS IN INDONESIA. MALAYSIAN E COMMERCE JOURNAL, 5(1), 20–28. https://doi.org/10.26480/mecj.01.2021.20.28
Aranyossy, M. (2022). Technology adoption in the digital entertainment industry during the COVID-19 Pandemic: An extended UTAUT2 model for online theater streaming. Informatics, 9(3), 71. https://doi.org/10.3390/informatics9030071
Arpaci, I. (2016). Understanding and predicting students’ intention to use mobile cloud storage services. Computers in Human Behavior, 58, 150–157. https://doi.org/10.1016/j.chb.2015.12.067
Asia Video Industry Association. (2023, August 31). Premium OTT – Building its Rightful Place in the Digital Market. https://avia.org/wp-content/uploads/2023/10/Premium-OTT-–-Building-its-Rightful-Place-Indonesia-Study.pdf
Assensoh-Kodua, A. (2014). A Theoretic Extension and Empirical investigation of conducting Business Online Social Network: The Continuance Intention Phenomenon. Journal of Economics and Behavioral Studies, 6(5), 373–385. https://doi.org/10.22610/jebs.v6i5.500
Barata, M. L., & Coelho, P. S. (2021). Music streaming services: Understanding the drivers of customer purchase and intention to recommend. Heliyon, 7(8), e07783. https://doi.org/10.1016/j.heliyon.2021.e07783
Basu, S. (2023, April 18). What is OTT? https://www.lifewire.com/what-is-ott-7480901
Begam, M. S., Dr. (2020). PSYCHOLOGICAL REACTIONS TO THE CONSUMPTION EXPERIENCE OF ONLINE SHOPPERS WITH E-COMMERCE. Towards Excellence, 214–225. https://doi.org/10.37867/te120521
Bhatt, K. (2021). Adoption of online streaming services: Moderating role of personality traits. International Journal of Retail & Distribution Management, 50(4), 437–457. https://doi.org/10.1108/ijrdm-08-2020-0310
Bhattacharyya, S. S., Goswami, S., Mehta, R., & Nayak, B. (2021). Examining the factors influencing adoption of over the top (OTT) services among Indian consumers. Journal of Science and Technology Policy Management, 13(3), 652–682. https://doi.org/10.1108/jstpm-09-2020-0135
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351. https://doi.org/10.2307/3250921
Camilleri, M. A., & Falzon, L. (2020). 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
Chai, J. Y., Lee, K. K. K., Chan, K. H., Wan, S. X., & Ting, T. T. (2021). Digital music: A study of factors in influencing online music streaming service purchase. Conference Proceedings: International Conference on Digital Transformation and Applications (ICDXA 2021). https://doi.org/10.56453/icdxa.2021.1018
Esawe, A. T. (2022). Understanding mobile e-wallet consumers’ intentions and user behavior. Spanish Journal of Marketing - ESIC, 26(3), 363–384. https://doi.org/10.1108/sjme-05-2022-0105
Gunadi, V., Indah Septyani, N., Annafi, R., & Nugroho Perwiro Atmojo, R. (2023). The effect of live streaming methods in online sales on behavioral intention in generation Z. E3S Web of Conferences, 426, 02127. https://doi.org/10.1051/e3sconf/202342602127
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Holtz, D., Carterette, B., Chandar, P., Nazari, Z., Cramer, H., & Aral, S. (2020). The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3555927
Hsu, C. L., & Lin, J. C.-C. (2021). The effects of gratifications, flow and satisfaction on the usage of livestreaming services. Library Hi Tech. https://doi.org/10.1108/lht-02-2021-0069
Indrawati, I., & Shaina, N. A. (2021). Analysis of factors that determine continuance intention in using shopee application during the pandemic covid-19. Jurnal Ilmiah Manajemen Dan Bisnis, 7(3), 294. https://doi.org/10.22441/jimb.v7i3.11902
Jia, X., Pang, Y., Huang, B., & Hou, F. (2023). Understanding consumers’ continuance intention to watch streams: A value-based continuance intention model. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1073301
Kania, R., Ramadhani, N. S., Wibisono, N., & Gunawan, A. I. (2022). Understanding behavioral intention to subscribe video-on-demand platform during COVID-19 pandemic: Evidence from Indonesia. The Asian Journal of Technology Management (AJTM), 15(2), 126–140.
Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2019). Examining consumers’ usage intention of contactless payment systems. International Journal of Bank Marketing, 38(2), 332–351. https://doi.org/10.1108/ijbm-04-2019-0155
Khayer, A., & Bao, Y. (2019). The continuance usage intention of Alipay. The Bottom Line, 32(3), 211–229. https://doi.org/10.1108/bl-07-2019-0097
KOMINFO, P. (2022, November 4). Siaran Pers No. 500/HM/KOMINFO/11/2022 Tentang Manfaat Analog Switch Off (ASO) Bagi Masyarakat, Lembaga Penyiaran, dan Negara. https://www.kominfo.go.id/content/detail/45436/siaran-pers-no-500hmkominfo112022-tentang-manfaat-analog-switch-off-aso-bagi-masyarakat-lembaga-penyiaran-dan-negara/0/siaran_pers
Kuo, C.-S., & Hsu, C.-C. (2022). Continuance intention to use and perceived net benefits as perceived by streaming platform users: An application of the updated IS success model. Behavioral Sciences, 12(5), 124. https://doi.org/10.3390/bs12050124
Li, Y., & Zhao, M. (2021). A study on the influencing factors of continued intention to use moocs: UTAUT model and CCC moderating effect. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.528259
Lüders, M. (2020). Ubiquitous tunes, virtuous archiving and catering for algorithms: The tethered affairs of people and music streaming services. Information, Communication & Society, 24(15), 2342–2358. https://doi.org/10.1080/1369118x.2020.1758742
M, A. T., Singh, S., Khan, S. J., Akram, M. U., & Chauhan, C. (2021). Just one more episode: Exploring consumer motivations for adoption of streaming services. Asia Pacific Journal of Information Systems, 31(1), 17–42. https://doi.org/10.14329/apjis.2021.31.1.17
Malewar, S., & Bajaj, S. (2020). Acceptance of OTT Video Streaming Platforms in India During Covid-19: Extending UTAUT2 With Content Availability. Journal of Content Community and Communication, 12, 89–106. https://doi.org/10.31620/jccc.12.20/09
Mäntymäki, M., Islam, A. K. M. N., & Benbasat, I. (2019). What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium. Information Systems Journal, 30(2), 295–333. https://doi.org/10.1111/isj.12262
Moorthy, K., Tzu Yee, T., Chun T’ing, L., & Vija Kumaran, V. (2019). Habit and hedonic motivation are the strongest influences in mobile learning behaviours among higher education students in Malaysia. Australasian Journal of Educational Technology, 35(4). https://doi.org/10.14742/ajet.4432
Nugraha, N., & Rachmawati, I. (2021). Faktor-faktor Yang Mempengaruhi Adopsi Layanan Streaming Disney+ Hotstar Menggunakan Extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2). eProceedings of Management, 8.
Qing, C., & Jin, S. (2022). What drives consumer purchasing intention in live streaming e-commerce? Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.938726
Salloum, S., Al Marzouqi, A., Alderbashi, K. Y., Shwedeh, F., Aburayya, A., Al Saidat, M. R., & Al-Maroof, R. S. (2023). Sustainability model for the continuous intention to use metaverse technology in higher education: A case study from oman. Sustainability, 15(6), 5257. https://doi.org/10.3390/su15065257
Shah, S., & Mehta, N. (2022). Over-the-Top (OTT) streaming services: Studying users’ behaviour through the UTAUT model. Management and Labour Studies, 48(4), 531–547. https://doi.org/10.1177/0258042x221137438
Shelstad, W. J., Hosein, A. A., Keebler, J. R., & Chaparro, B. S. (2020). Using user experience scales to predict video game play and purchasing intent. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 2065–2069. https://doi.org/10.1177/1071181320641500
Shen, J. (2023). Assessing factors influencing consumer purchase intention for over-the-top (OTT) video services in China: A perceived value theory and UTAUT perspective. In Proceedings of the 8th International Conference on Financial Innovation and Economic Development (ICFIED 2023) (pp. 294–305). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-142-5_33
Soren, A. A., & Chakraborty, S. (2024). Adoption, satisfaction, trust, and commitment of over-the-top platforms: An integrated approach. Journal of Retailing and Consumer Services, 76, 103574. https://doi.org/10.1016/j.jretconser.2023.103574
theTradeDesk. (2022, March 15). Indonesia OTT consumption highest in Southeast Asia as growth hits 40 percent. https://www.thetradedesk.com/es/news/press-room/indonesia-ott-consumption-highest-in-southeast-asia-as-growth-hits-40-percent
Timmerman, A. (2022, October 24). Forget Netflix and Disney: A local streaming service is king in Indonesia. https://restofworld.org/2022/vidio-the-netflix-killer-of-indonesia/
Venkatesh, Morris, Davis, & Davis. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Venkatesh, Thong, & Xu. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412
Wu, C.-G., & Wu, P.-Y. (2019). Investigating user continuance intention toward library self-service technology. Library Hi Tech, 37(3), 401–417. https://doi.org/10.1108/lht-02-2018-0025
Zaenudin, C. A., & Tricahyono, D. (2023). Analysis of the use of mobile banking using the unified theory of acceptance and use of technology (UTAUT-2), trust and word-of-mouth (WOM) for BNI customers in Bandung. In Proceedings of the 4th Asia Pacific Management Research Conference (APMRC 2022) (pp. 310–323). Atlantis Press International BV. http://doi.org/10.2991/978-94-6463-076-3_2
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