How to cite this paper
Basuki, R., Tarigan, Z., Siagian, H., Limanta, L., 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 and Network Science, 6(1), 253-262.
Refrences
Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ perceived ease of use (PEOU) and perceived usefulness (PU) of e-portfolios. Computers in Human Be-havior, 63, 75-90.
Bassiouni, D.H.B., Hackley, C., & Meshreki, H. (2019). The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games. Information Technology & People, 32(6), 1376-1396, DOI 10.1108/ITP-11-2017-0375.
Ehrlich, J.A., Ghimire, S., Khraiche, M., & Raza, M.F. (2020). COVID-19 countermeasures, sporting events, and the financial impacts to the North American leagues. Managerial Finance, 47(6). 0307-4358, DOI 10.1108/MF-05-2020-0275
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technolo-gy. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231. https://doi.org/10.1108/APJML-06-2013-0061
Ghosh, J. (2020). A critique of the Indian government’s response to the COVID-19 pandemic. Journal of Industrial and Busi-ness Economics, 47, 519–530
Giovanis, A.N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24-53.
Godlovitch, I., Kooterink, B., Marcus, J. S., Nooren, P., Esmeijer, J., & Roosendaal, A. (2015). Over-the-Top (OTTs). Policy Department A: Economic and Scientific Policy. https://doi.org/10.2861/706687
Gupta, G., & Singharia, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown Insights from PLS Anal-ysis. Vision, 25(1), 36-46, DOI: 10.1177/0972262921989118
Hubert, M., Blut, M., Christian, B., Zhang, R.W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073-1098, DOI 10.1108/EJM-12-2016-0794
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. Interna-tional Journal of Sports Marketing and Sponsorship, 20(1), 109-126. https://doi.org/10.1108/IJSMS-06-2017-0050
Kunz, R. E., & Santomier, J. P. (2020). Sport content and virtual reality technology acceptance. Sport, Business and Manage-ment, Bingley 10(1), 83-103. DOI:10.1108/SBM-11-2018-0095
Kowalczuk, P. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Interactive Marketing, 12(4), 418-431. https://doi.org/10.1108/JRIM-01-2018-0022
Lipi.Press. (2021). Sirkulasi Film Platform Streaming di Indonesia. https://lipipress.lipi.go.id/detailpost/sirkulasi-film-platform-streaming-di-indonesia
Moghavvemi, S., Salleh, N.A.M., & Standing, C. (2016). Entrepreneurs adoption of information system innovation: The im-pact of individual perception and exogenous factors on entrepreneurs behavior. Internet Research, 26(5), 1181-1208, DOI 10.1108/IntR-01-2014-0024
Ozili, P. (2020). COVID-19 in Africa: socio-economic impact, policy response and opportunities. International Journal of So-ciology and Social Policy. https://doi.org/10.1108/IJSSP-05-2020-0171
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z.J.H.T. (2021). Technology acceptance model for online cinema tick-eting among moviegoers in java island Indonesia: an empirical study on tix id application. IOP Conf. Series: Materials Sci-ence and Engineering, 1010, 012037, doi:10.1088/1757-899X/1010/1/012037
Putuhena, A.G., & Irwansyah, (2019). The role of over-the-top (OTT) services in illegal music consumer. Jurnal Studi Komu-nikasi Dan Media, 23(2), 167-180.
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovative-ness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53-71.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.
Setiawan, P.Y., & Widanta, A.B.P. (2021). The effect of trust on travel agent online use: Application of the technology ac-ceptance model. International Journal of Data and Network Science, 5(3), 173–182, DOI: 10.5267/j.ijdns.2021.6.015
Shin, J., Park, Y., & Lee, D. (2016). Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior. Technological Forecasting and Social Change, 112, 329–337. https://doi.org/10.1016/j.techfore.2016.08.004
Sinclair, G., & Green, T. (2015). Download or stream? Steal or buy? Developing a typology of today’s music consumer. Journal of Consumer Behaviour, 15, 3–14. https://doi.org/10.1002/cb
Tarigan, Z.J.H., Sutapa, I.N., Mochtar, J., & Suprapto, W. (2019). Measuring teachers’ competency in determining students’ satisfaction through electronic internet survey method. International Journal of Information and Education Technology, 9(3), 236-240, doi: 10.18178/ijiet.2019.9.3.1206
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satis-faction in movie industry. International Journal of Data and Network Science, 4(3), 263-270
Verity, R., Okell, L.C., Dorigatti, I., Winskill, P., Whittaker, C., & Imai, N. (2020) Estimates of the severity of coronavirus disease 2019: a model-based analysis. The Lancet Infectious Diseases, 20(6), 669-677.
Wen, J., Kozak, M., Yang, S., & Liu, F. (2020). COVID-19: potential effects on Chinese citizens’ lifestyle and travel. Tourism Review, 76(1), 74-87,
Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages. Industrial Management & Data Systems, 117(8), 1761-1776, DOI 10.1108/IMDS-08-2016-0312
Yu, X., Liu, C., Wang, H., & Feil, J.-H. (2020). The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces. China Agricultural Economic Review, 1756-137X, DOI 10.1108/CAER-04-2020-0054
Zhang, H. (2020). China’s employment stabilization policies in response to the impact of the COVID-19 pandemic. Interna-tional Journal of Sociology and Social Policy, 0144-333X, DOI 10.1108/IJSSP-05-2020-0167
Zhang, L., Nyheim, P., and Mattila, A.S. (2014). The effect of power and gender on technology acceptance. Journal of Hospi-tality and Tourism Technology, 5(3), 299-314, DOI 10.1108/JHTT-03-2014-0008
Zuniarti, I., Yuniasih, I., Martana, I.K., Setyaningsih, E.D., Susilowati, I.H., Pramularso, E.Y., & Astuti, D. (2021). The effect of the presence of e-commerce on consumer purchasing decisions. International Journal of Data and Network Science, 5 (3), 479-484, DOI: 10.5267/j.ijdns.2021.3.005
Bassiouni, D.H.B., Hackley, C., & Meshreki, H. (2019). The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games. Information Technology & People, 32(6), 1376-1396, DOI 10.1108/ITP-11-2017-0375.
Ehrlich, J.A., Ghimire, S., Khraiche, M., & Raza, M.F. (2020). COVID-19 countermeasures, sporting events, and the financial impacts to the North American leagues. Managerial Finance, 47(6). 0307-4358, DOI 10.1108/MF-05-2020-0275
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technolo-gy. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231. https://doi.org/10.1108/APJML-06-2013-0061
Ghosh, J. (2020). A critique of the Indian government’s response to the COVID-19 pandemic. Journal of Industrial and Busi-ness Economics, 47, 519–530
Giovanis, A.N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24-53.
Godlovitch, I., Kooterink, B., Marcus, J. S., Nooren, P., Esmeijer, J., & Roosendaal, A. (2015). Over-the-Top (OTTs). Policy Department A: Economic and Scientific Policy. https://doi.org/10.2861/706687
Gupta, G., & Singharia, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown Insights from PLS Anal-ysis. Vision, 25(1), 36-46, DOI: 10.1177/0972262921989118
Hubert, M., Blut, M., Christian, B., Zhang, R.W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073-1098, DOI 10.1108/EJM-12-2016-0794
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. Interna-tional Journal of Sports Marketing and Sponsorship, 20(1), 109-126. https://doi.org/10.1108/IJSMS-06-2017-0050
Kunz, R. E., & Santomier, J. P. (2020). Sport content and virtual reality technology acceptance. Sport, Business and Manage-ment, Bingley 10(1), 83-103. DOI:10.1108/SBM-11-2018-0095
Kowalczuk, P. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Interactive Marketing, 12(4), 418-431. https://doi.org/10.1108/JRIM-01-2018-0022
Lipi.Press. (2021). Sirkulasi Film Platform Streaming di Indonesia. https://lipipress.lipi.go.id/detailpost/sirkulasi-film-platform-streaming-di-indonesia
Moghavvemi, S., Salleh, N.A.M., & Standing, C. (2016). Entrepreneurs adoption of information system innovation: The im-pact of individual perception and exogenous factors on entrepreneurs behavior. Internet Research, 26(5), 1181-1208, DOI 10.1108/IntR-01-2014-0024
Ozili, P. (2020). COVID-19 in Africa: socio-economic impact, policy response and opportunities. International Journal of So-ciology and Social Policy. https://doi.org/10.1108/IJSSP-05-2020-0171
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z.J.H.T. (2021). Technology acceptance model for online cinema tick-eting among moviegoers in java island Indonesia: an empirical study on tix id application. IOP Conf. Series: Materials Sci-ence and Engineering, 1010, 012037, doi:10.1088/1757-899X/1010/1/012037
Putuhena, A.G., & Irwansyah, (2019). The role of over-the-top (OTT) services in illegal music consumer. Jurnal Studi Komu-nikasi Dan Media, 23(2), 167-180.
Ratten, V. (2014). A US-China comparative study of cloud computing adoption behavior: The role of consumer innovative-ness, performance expectations and social influence. Journal of Entrepreneurship in Emerging Economies, 6(1), 53-71.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30.
Setiawan, P.Y., & Widanta, A.B.P. (2021). The effect of trust on travel agent online use: Application of the technology ac-ceptance model. International Journal of Data and Network Science, 5(3), 173–182, DOI: 10.5267/j.ijdns.2021.6.015
Shin, J., Park, Y., & Lee, D. (2016). Strategic management of over-the-top services: Focusing on Korean consumer adoption behavior. Technological Forecasting and Social Change, 112, 329–337. https://doi.org/10.1016/j.techfore.2016.08.004
Sinclair, G., & Green, T. (2015). Download or stream? Steal or buy? Developing a typology of today’s music consumer. Journal of Consumer Behaviour, 15, 3–14. https://doi.org/10.1002/cb
Tarigan, Z.J.H., Sutapa, I.N., Mochtar, J., & Suprapto, W. (2019). Measuring teachers’ competency in determining students’ satisfaction through electronic internet survey method. International Journal of Information and Education Technology, 9(3), 236-240, doi: 10.18178/ijiet.2019.9.3.1206
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satis-faction in movie industry. International Journal of Data and Network Science, 4(3), 263-270
Verity, R., Okell, L.C., Dorigatti, I., Winskill, P., Whittaker, C., & Imai, N. (2020) Estimates of the severity of coronavirus disease 2019: a model-based analysis. The Lancet Infectious Diseases, 20(6), 669-677.
Wen, J., Kozak, M., Yang, S., & Liu, F. (2020). COVID-19: potential effects on Chinese citizens’ lifestyle and travel. Tourism Review, 76(1), 74-87,
Wu, J., Liu, L., & Huang, L. (2017). Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages. Industrial Management & Data Systems, 117(8), 1761-1776, DOI 10.1108/IMDS-08-2016-0312
Yu, X., Liu, C., Wang, H., & Feil, J.-H. (2020). The impact of COVID-19 on food prices in China: evidence of four major food products from Beijing, Shandong and Hubei Provinces. China Agricultural Economic Review, 1756-137X, DOI 10.1108/CAER-04-2020-0054
Zhang, H. (2020). China’s employment stabilization policies in response to the impact of the COVID-19 pandemic. Interna-tional Journal of Sociology and Social Policy, 0144-333X, DOI 10.1108/IJSSP-05-2020-0167
Zhang, L., Nyheim, P., and Mattila, A.S. (2014). The effect of power and gender on technology acceptance. Journal of Hospi-tality and Tourism Technology, 5(3), 299-314, DOI 10.1108/JHTT-03-2014-0008
Zuniarti, I., Yuniasih, I., Martana, I.K., Setyaningsih, E.D., Susilowati, I.H., Pramularso, E.Y., & Astuti, D. (2021). The effect of the presence of e-commerce on consumer purchasing decisions. International Journal of Data and Network Science, 5 (3), 479-484, DOI: 10.5267/j.ijdns.2021.3.005