Pengaruh Performance Expectancy dan Effort Expectancy Terhadap Continuance Intention to Use Melalui Mediasi Attitude Towards Use pada Aplikasi Netflix
DOI:
https://doi.org/10.62710/cvb9wr37Keywords:
Performance Expectancy; Effort Expectancy; Continuance Intention to Use; Attitude Towards Use; NetflixAbstract
This study aims to examine the influence of Performance Expectancy and Effort Expectancy on Continuance Intention to Use Through Attitude Towards Use Mediation on the Netflix Application. The population in this study are individuals belonging to Generation Z (Gen Z) who live in the Greater Jakarta area and are active users of the Netflix digital streaming application. Gen Z or Generation Z used in Indonesia began from 1997 to 2012 based on official data set by the Indonesian Central Statistics Agency (BPS). The recommended sample size for this study is around 400 respondents to ensure that the research results can represent the population with an adequate level of confidence. This study uses Structural Equation Modeling (SEM) data analysis techniques with the Partial Least Square (PLS) approach, which is analyzed using SmartPLS software version 4. The results of the study found that Performance Expectancy (PE) has a positive and significant influence on Continuance Intention to Use (CITU). Effort Expectancy (EE) has a positive and significant influence on Continuance Intention to Use (CITU). Attitude Towards Use (ATU) has a positive and significant effect on Continuance Intention to Use (CITU). Performance Expectancy (PE) has a positive and significant effect on Attitude Towards Use (ATU). Effort Expectancy (EE) has a positive and significant effect on Attitude Towards Use (ATU). Performance Expectancy (PE) has a significant indirect effect on Continuance Intention to Use (CITU) through Attitude Towards Use (ATU). Effort Expectancy (EE) has a significant indirect effect on Continuance Intention to Use (CITU) through Attitude Towards Use (ATU).
Downloads
References
Accounting. (2021). Memahami Inner Model (Model Struktural) Dalam Smart PLS. https://accounting.binus.ac.id/2021/08/12/memahami-inner-model-model-struktural-dalam-smart-pls/
Afrizal, D., & Wallang, M. (2021). Attitude on intention to use e-government in Indonesia. Indonesian Journal of Electrical Engineering and Computer Science, 22(1), 435–441. https://doi.org/10.11591/ijeecs.v22.i1.pp435-441
Agus, H. (2024). APJII Jumlah Pengguna Internet Indonesia Tembus 221 Juta Orang. Asosiasi Penyelenggara Jasa Internet Indonesia (APJII). https://apjii.or.id/berita/d/apjii-jumlah-pengguna-internet-indonesia-tembus-221-juta-orang
Alifah, Amalia Nur & Edina, A. I. (2022). Analisis Faktor Pengaruh Pendapatan UMKM Kota Surabaya Dengan Metode Structural Equation Model. Jurnal Ilmiah Indonesia, Vol.7, 9. https://doi.org/https://dx.doi.org/10.36418/syntax-literate.v7i9.9389
Alkhowaiter, W. A. (2022). Use and behavioural intention of m-payment in GCC countries: Extending meta-UTAUT with trust and Islamic religiosity. Journal of Innovation & Knowledge, 7(4), 100240. https://doi.org/https://doi.org/10.1016/j.jik.2022.100240
Andrade, C. (2021). The Inconvenient Truth About Convenience and Purposive Samples. Indian Journal of Psychological Medicine, 43(1), 86–88. https://doi.org/10.1177/0253717620977000
Anjani, A. D., & Sujarwo, S. (2023). Fenomena Layanan Video on Demand Sebagai Pengganti Bioskop di Kalangan Masyarakat Indonesia. Jurnal Ilmu Sosial Humaniora Indonesia, 3(2), 53–59. https://doi.org/10.52436/1.jishi.104
Anugraheni, T. D., Izzah, L., & Hadi, M. S. (2023). Increasing the Students’ Speaking Ability through Role-Playing with Slovin’s Formula Sample Size. Jurnal Studi Guru Dan Pembelajaran, 6(3), 262–272. https://doi.org/10.30605/jsgp.6.3.2023.2825
Arkanuddin, M. F., Susanti, & Broto, M. F. (2023). The Role of Government Policy Toward Technology Continuance Intention on Digital Industry in Indonesia. Indonesian Journal of Social Research (IJSR), 5(3), 181–198. https://doi.org/10.30997/ijsr.v5i3.342
Astuti, R., & Hasbi, M. (2020). Pengaruh Gaya Hidup Dan Word of Mouth Terhadap Keputusan Pembelian Sepeda Pada Situasi Covid 19 Di Kota Medan. Scenario: Seminar of Social Sciences Engineering & Humaniora, 127–135.
Azahra, F., & Hadita, H. (2023). Pengaruh Promosi Dan Harga Terhadap Keputusan Pembelian Melalui Variabel Intervening Minat Beli Kfc Golden City Bekasi Di Sosial Media Instagram. Jurnal Economina, 2(2), 678–691. https://doi.org/10.55681/economina.v2i2.351
Beglar, D., & Nemoto, T. (2014). Developing Likert-scale questionnaires. JALT2013 Conference Proceedings, 1–8.
Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021). Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation, 106, 102312. https://doi.org/10.1016/j.technovation.2021.102312
Chen, C. F. Y., Chan, T. J., & Hashim, N. H. (2023). Factor Influencing Continuation Intention of Using Fintech from the Users’ Perspectives: Testing of Unified Theory of Acceptance and Use of Technology (UTAUT2). International Journal of Technology, 14(6), 1277–1287. https://doi.org/10.14716/ijtech.v14i6.6636
Chen, Y., & Ryu, M. H. (2024). Chinese Consumers’ Attitudes toward and Intentions to Continue Using Skill-Sharing Service Platforms. Behavioral Sciences, 14(9), 765. https://doi.org/10.3390/bs14090765
Cheng, S.-I., Chen, S.-C., & Yen, D. C. (2015). Continuance intention of E-portfolio system: A confirmatory and multigroup invariance analysis of technology acceptance model. Computer Standards & Interfaces, 42, 17–23. https://doi.org/https://doi.org/10.1016/j.csi.2015.03.002
Cindy, A. (2022). Netflix, Aplikasi Video on Demand Paling Favorit di Indonesia. Databoks. https://databoks.katadata.co.id/teknologi-telekomunikasi/statistik/25167018f27cb1d/netflix-aplikasi-video-on-demand-paling-favorit-di-indonesia
Cohen, J. (2015). Statistical Power Analysis for the Behavioral Sciences. In Proceedings of the National Academy of Sciences (Vol. 2, Issue 1). http://dx.doi.org/10.1016/j.bpj.2015.06.056%0Ahttps://academic.oup.com/bioinformatics/article-abstract/34/13/2201/4852827%0Ainternal-pdf://semisupervised-3254828305/semisupervised.ppt%0Ahttp://dx.doi.org/10.1016/j.str.2013.02.005%0Ahttp://dx.doi.org/10.10
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Dhiya Ulhaq, N., & Lumban Batu, R. (2024). Analisis Model Unified Theory Acceptence And Use Of Technology (Utaut) Untuk Keputusan Mengikuti Program MSIB Melalui Behavior Intention. Jurnal Ilmiah Wahana Pendidikan, 10(11), 515–527. https://doi.org/10.5281/zenodo.12783428
Dian Sudiantini, & Farhan Saputra. (2022). Pengaruh Gaya Kepemimpinan: Kepuasan Kerja, Loyalitas Pegawai dan Komitmen di PT Lensa Potret Mandiri. Formosa Journal of Sustainable Research, 1(3), 467–478. https://doi.org/10.55927/fjsr.v1i3.873
Fedorko, I., Bacik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16(2), 27–37. https://doi.org/10.21511/bbs.16(2).2021.03
FlixPatrol. (2024). Jelang Akhir Tahun 2024, Penonton Netflix di Indonesia Lebih Suka Nonton Horor dan Komedi. GoodStats. https://goodstats.id/article/jelang-akhir-tahun-2024-penonton-netflix-di-indonesia-suka-nonton-horor-dan-komedi-rdrnG?utm_source=chatgpt.com
Gomez-Uribe, C. A., & Hunt, N. (2015). The netflix recommender system: Algorithms, business value, and innovation. ACM Transactions on Management Information Systems, 6(4). https://doi.org/10.1145/2843948
Gudangsatu. (2023). Alasan Memilih Skala Likert 5 Poin. https://gudangskripsi.net/alasan-memilih-skala-likert-5-poin/
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
Hakim, M. M., Afifah, A. N., & Aryotejo, G. (2023). The Analysis of Factors Affecting Behavioral Intention and Behavior Usage of E-Wallet Using Meta-UTAUT Model. International Journal on Advanced Science, Engineering and Information Technology, 13(2), 786–793. https://doi.org/10.18517/ijaseit.13.2.18297
Hasan, V. A. (2017). Analisis Faktor-Faktor Yang Mempengaruhi Willingness To Subscribe: Telaah Pada Layanan Video On Demand Netflix. Jurnal Manajemen, 9(1), 22–38. https://doi.org/10.31937/manajemen.v9i1.595
Hootsuite, W. A. S. &. (2023). Digital 2023: Indonesia. https://datareportal.com/reports/digital-2023-indonesia
Hossain, K. (2020). Impact of the COVID-19 pandemic on social media. In Victoria News (Vol. 17, Issue 9, pp. 7188–7191). Wikipedia. https://en.wikipedia.org/wiki/Impact_of_the_COVID-19_pandemic_on_social_media
Icam Sutisna. (2020). Statistika Penelitian. Universitas Negeri Gorontalo, 1–15.
IDN Research Institute. (2024). Indonesia Gen Z. IDN Research Institute, 102. https://cdn.idntimes.com/content-documents/indonesia-gen-z-report-2024.pdf
Indrawati, & Putri, D. A. (2018). Analyzing factors influencing continuance intention of E-payment adoption using modified UTAUT 2 Model: (A case study of Go-Pay from Indonesia). 2018 6th International Conference on Information and Communication Technology, ICoICT 2018, 6(2), 167–173. https://doi.org/10.1109/ICoICT.2018.8528748
Jagadish, K. (2024). 50 Statistics on How Coronavirus Is Impacting the Video Streaming Industry. https://reelnreel.com/video-streaming-industry/?
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, 1073301. https://doi.org/https://dx.doi.org/10.3389/fpsyg.2023.1073301
Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/bjast/2015/14975
Junida, A. I. (2024). Jakarta Berpotensi Besar Jadi Pusat Ekonomi Digital Indonesia. ANTARA. https://www.antaranews.com/berita/4240367/jakarta-berpotensi-besar-jadi-pusat-ekonomi-digital-indonesia?utm_source
Kaluarachchi, S., & Nagalingam, N. (2024). Triangulating the moderate impact of performance expectancy, effort expectancy, and social influence in social media marketing: A study of business performance in Sri Lanka’s cashew industry. Quality and Quantity, April. https://doi.org/10.1007/s11135-024-01862-5
Karim, A. (2018). Analisis Peran Kspps Dalam Mendukung Ekonomi Rakyat Berbasis Usaha Menengah Kecil. Badan Pusat Statistik Indonesia, 11(April), 7–18. https://www.bps.go.id
Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/https://dx.doi.org/10.1016/j.techsoc.2020.101280
Khlaif, Z. N., Sanmugam, M., & Ayyoub, A. (2023). Impact of technostress on continuance intentions to use mobile technology. The Asia-Pacific Education Researcher, 32(2), 151–162. https://doi.org/https://doi.org/10.1007/s40299-022-00646-5
Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. https://doi.org/10.1016/j.dss.2005.05.009
Kurniawan, S., Djohan, S. A., & Andhika, D. (2024). Predicting Factors Influencing Continuance Intention to Use Digital Media on Over-The-Top Platforms: An Application of the Technology Acceptance Model. Journal of Logistics, Informatics and Service Science, 11(1), 228–238. https://doi.org/10.33168/JLISS.2024.0115
Li, C. Y., & Fang, Y. H. (2019). Predicting continuance intention toward mobile branded apps through satisfaction and attachment. Telematics and Informatics, 43(151), 101248. https://doi.org/10.1016/j.tele.2019.101248
Limayem, M., Hirt, S. G., Cheung, C. M. K., & Hirt, S. G. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. 31(4), 705–737. https://doi.org/https://doi.org/10.2307/25148817
Limna, P., Siripipatthanakul, S., Siripipattanakul, S., Woodeson, K., & Auttawechasakoon, P. (2022). Applying the UTAUT to Explain Factors Affecting English Learning Intention Via Netflix (English Subtitle) Among Thai people. Ammartpanichanukul School, 1(1), 4. https://ssrn.com/abstract=4046242
Lock, M., Yee, S., & Abdullah, M. S. (2021). A Review of UTAUT and Extended Model as a Conceptual Framework in Education Research. Jurnal Pendidikan Sains Dan Matematik Malaysia, 11, 1–20. https://doi.org/https://doi.org/10.37134/jpsmm.vol11.sp.1.2021
Lyu, A. (2023). The Rise of Video On Demand (VOD) Streaming. https://www.yololiv.com/blog/the-rise-of-video-on-demand-vod-streaming/?
Marela, A. N., & Alfansi, L. (2024). Understanding Gen Z’s Netflix usage in Indonesia: an Extended TAM perspective on willingness to subscribe. Manajemen Dan Bisnis, 23(1), 13. https://doi.org/10.24123/mabis.v23i1.738
Mou, X., Xu, F., & Du, J. T. (2021). Examining the factors influencing college students’ continuance intention to use short-form video APP. Aslib Journal of Information Management, 73(6), 992–1013. https://doi.org/https://doi.org/10.1108/AJIM-03-2021-0080
Nikolopoulou, K., Gialamas, V., & Lavidas, K. (2021). Habit, hedonic motivation, performance expectancy and technological pedagogical knowledge affect teachers’ intention to use mobile internet. Computers and Education Open, 2(March), 100041. https://doi.org/10.1016/j.caeo.2021.100041
Nizar, N. N. M., Zulnaidi, H., Basar, A., & Maaruf, S. Z. (2024). A structural model of pre-service teachers’ attitude, acceptance, and continuance intention towards mobile augmented reality. Contemporary Educational Technology, 16(4). https://doi.org/10.30935/cedtech/15160
Or, C. (2023). The Role of Attitude in the Unified Theory of Acceptance and Use of Technology: A Meta-analytic Structural Equation Modelling Study. International Journal of Technology in Education and Science, 7(4), 552–570. https://doi.org/10.46328/ijtes.504
Pawestri, A. A. (2022). Peluang Pasar Video on Demand (VoD) di Indonesia. Wixsite. https://companyboen.wixsite.com/marketresearch/post/peluang-pasar-video-on-demand-vod-di-indonesia?
Peterson K, O. (2023). The acceptable R-square in empirical modelling for social science research. Social Research Methodology and Publishing Results, 116496, 1–10. https://doi.org/https://dx.doi.org/10.2139/ssrn.4128165
Popova, Y., & Zagulova, D. (2022). UTAUT Model for Smart City Concept Implementation: Use of Web Applications by Residents for Everyday Operations. Informatics, 9, 27. https://doi.org/10.3390/informatics9010027
Poromatikul, C., De Maeyer, P., Leelapanyalert, K., & Zaby, S. (2020). Drivers of continuance intention with mobile banking apps. International Journal of Bank Marketing, 38(1), 242–262. https://doi.org/10.1108/IJBM-08-2018-0224
Priadana, M. S., & Sunarsi, D. (2021). Metode Penelitian Kuantitatif. Pascal Books. https://anyflip.com/tzxmy/fzxh/basic
Prof. Dr. Umi Narimawati, Dra., S.E., M.Si., Jonathan Sarwono, S.Sos., M.Hum., Prof. Dr. H. Azhar Affandi, S.E., M.Sc., Prof. Dr. H.M. Sidik Priadana, M. S. (2020). Ragam Analisis dalam Metode Penelitian: untuk Penulisan Skripsi, Tesis, & Disertasi. Andi.
Purwanto, A., & Sudargini, Y. (2021). Partial Least Squares Structural Squation Modeling (PLS-SEM) Analysis for Social and Management Research : A Literature Review. Journal of Industrial Engineering & Management Research, 2(4), 114–123. https://doi.org/https://doi.org/10.7777/jiemar.v2i2
Purwanto, E., & Loisa, J. (2020). The Intention and Use Behaviour of the Mobile Banking System in indonesia: UTAUT Model. Technology Reports of Kansai University, 62(06), 2757–2767.
Rahayu, W. I., & Shafina, M. R. (2022). Aplikasi Analisis Kelayakan Sistem Untuk Pengukuran Usability Dengan Menerapkan Metode Use Questionnaire. Jurnal Teknik Informatika, 14(3), 2022.
Rahi, S., Khan, M. M., & Alghizzawi, M. (2021). Extension of technology continuance theory (TCT) with task technology fit (TTF) in the context of Internet banking user continuance intention. International Journal of Quality and Reliability Management, 38(4), 986–1004. https://doi.org/10.1108/IJQRM-03-2020-0074
Ramdhan, M. (2021). Metode Penelitian. Cipta Media Nusantara. https://books.google.co.id/books/about/Metode_Penelitian.html?id=Ntw_EAAAQBAJ&redir_esc=y
Ratih Fitri Yatun, & Sri Rahayu Puspita Sari. (2024). Pengaruh Habit, Percieved Usefulness, Dan Percieved Enjoyment Terhadap Continuance Intention E-Wallet Ovo Di Bekasi. Jurnal Akuntansi Dan Manajemen Bisnis, 4(2), 37–43. https://doi.org/10.56127/jaman.v4i2.1595
Report, I. (2024). Platform Streaming Pilihan Gen Z Indonesia. GoodStats. https://data.goodstats.id/statistic/netflix-kuasai-hati-mayoritas-gen-z-indonesia-hIxdD?utm_source=chatgpt.com
Richard Andrew, Februarga P. Akwila, Z. H. I. N. S. (2021). Effect Of Performance Expectancy And Social Influence On Continuance Intention In OVO. Jurnal Manajemen, 25(1), 125. https://doi.org/10.24912/jm.v25i1.707
Rizkalla, N., Tannady, H., & Bernando, R. (2023). Analysis of the influence of performance expectancy, effort expectancy, social influence, and attitude toward behavior on intention to adopt live.on. Multidisciplinary Reviews, 6(Special Issue). https://doi.org/10.31893/multirev.2023spe017
Rizky, T. (2022). Layanan Streaming Film Tumbuh Saat Bioskop Tertatih Diterjang Pandemi. https://analysis.netray.id/layanan-streaming-film-tumbuh-saat-bioskop-tertatih-diterjang-pandemi/
Roflin, E., & Liberty, I. A. (2021). Populasi, Sampel, Variabel dalam penelitian kedokteran. Penerbit NEM. https://books.google.co.id/books?hl=id&lr=&id=ISYrEAAAQBAJ&oi=fnd&pg=PP1&ots=okxSDfwX45&sig=2tyF7V6ZfTDdL6i_BySUtD7uM6Y&redir_esc=y#v=onepage&q&f=false
Rumangkit, S., Surjandy, & Billman, A. (2023). The Effect of Performance Expectancy, Facilitating Condition, Effort Expectancy, and Perceived Easy to Use on Intention to using Media Support Learning Based On Unified Theory of Acceptance and Use of Technology (UTAUT). E3S Web of Conferences, 426. https://doi.org/10.1051/e3sconf/202342602004
Salim, M. P. (2024). Karakteristik Gen Z Indonesia dan Problematika di Era Digital, Ini Solusi dan Strategi Menghadapinya. In Liputan6. https://www.liputan6.com/hot/read/5513255/karakteristik-gen-z-indonesia-dan-problematika-di-era-digital-ini-solusi-dan-strategi-menghadapinya
Santoso, M. T., Tang, D. H., & Aprilia, A. (2023). Pengaruh Service Recovery Terhadap Kepuasan Konsumen Di Hotel Bintang 4 Dan 5 Di Kota Surabaya. Jurnal Manajemen Perhotelan, 8(2), 59–68. https://doi.org/10.9744/jmp.8.2.59-68
Saputra, M., Izzati, B., & Rahmadiani, J. (2021). The Acceptance of Government Resource Planning System Using Unified Theory of Acceptance and Use of Technology 2. Jurnal Sistem Informasi, 17, 1–19. https://doi.org/10.21609/jsi.v17i1.1010
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2021). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology and Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640
Shaikh, A. A., Glavee-Geo, R., & Karjaluoto, H. (2018). How relevant are risk perceptions, effort, and performance expectancy in mobile banking adoption? In Research anthology on securing mobile technologies and applications (pp. 692–716). IGI Global. https://doi.org/http://dx.doi.org/10.4018/IJEBR.2018040103
Shrestha, N. (2021). Factor Analysis as a Tool for Survey Analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4–11. https://doi.org/10.12691/ajams-9-1-2
Sleiman, K. A. A., Jin, W., Juanli, L., Lei, H. Z., Cheng, J., Ouyang, Y., & Rong, W. (2022). The Factors of Continuance Intention to Use Mobile Payments in Sudan. SAGE Open, 12(3). https://doi.org/10.1177/21582440221114333
Song, H. G., & Jo, H. (2023). Understanding the Continuance Intention of Omnichannel: Combining TAM and TPB. Sustainability (Switzerland), 15(4), 1–20. https://doi.org/10.3390/su15043039
Statista. (2024). Number of Netflix subscribers worldwide from 1st quarter 2013 to 4th quarter 2023. https://www.statista.com/statistics/250934/quarterly-number-of-netflix-streaming-subscribers-worldwide/
Sugiyono, L. (2020). Analisis Situasi Pembangunan Manusia di Jawa Tengah. Indonesian Journal of Applied Statistics, 3(1), 12. https://doi.org/10.13057/ijas.v3i1.39910
Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243–257. https://doi.org/10.1007/s10796-018-9864-5
Tian, X. F., & Wu, R. Z. (2022). Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT. International Journal of Environmental Research and Public Health, 19(16). https://doi.org/10.3390/ijerph19169980
Usman, A. U., Sunusi, A., & Tukur, K. (2020). Numerical Analysis of Next-Generation Wireless Networks Using Modified PLS- SEM Model Numerical Analysis of Next-Generation Wireless Networks Using Modified PLS- SEM Model. January.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2017). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. y. ., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology by Viswanath Venkatesh, James Y.L. Thong, Xin Xu :: SSRN. MIS Quarterly, 36(1), 157–178. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2002388
Vika, D. (2022). Pelanggan Netflix Berkurang hingga 970 Ribu di Kuartal II 2022. Databoks. https://databoks.katadata.co.id/teknologi-telekomunikasi/statistik/8eb818cd61f2ca4/pelanggan-netflix-berkurang-hingga-970-ribu-di-kuartal-ii-2022
Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review. SAGE Open, 14(1), 1–22. https://doi.org/10.1177/21582440241229570
Yang, H., Cai, J., Yang, H. H., & Wang, X. (2023). Examining key factors of beginner’s continuance intention in blended learning in higher education. Journal of Computing in Higher Education, 35(1), 126–143. https://doi.org/10.1007/s12528-022-09322-5
Yap, Y. Y., Tan, S. H., & Choon, S. W. (2022). Elderly’s intention to use technologies: A systematic literature review. Heliyon, 8(1), e08765. https://doi.org/10.1016/j.heliyon.2022.e08765
Yoesep, B. (2019). Laris Manis Video on Demand. Kompas.Id. https://www.kompas.id/baca/riset/2019/12/30/laris-manis-video-on-demand
Yuan, D., Rahman, M. K., Issa Gazi, M. A., Rahaman, M. A., Hossain, M. M., & Akter, S. (2021). Analyzing of User Attitudes Toward Intention to Use Social Media for Learning. SAGE Open, 11(4). https://doi.org/10.1177/21582440211060784
Zainavy, S. F., Pratama, B. C., Fakhruddin, I., & Pandansari, T. (2023). E-Filing Report: Is Performance Expectancy, Effort Expectancy, Trust, and Perceived Risk Influencing the Intention To Use the System. SAR (Soedirman Accounting Review): Journal of Accounting and Business, 08(02), 234–250. https://doi.org/10.32424/1.sar.2023.8.2.10162
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Nur Alfianti, Andi Muhammad Sadat, Daru Putri Kusumaningtyas (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.