Pengaruh perceived benefit dan perceived sacrifice terhadap intention to subscribe melalui perceived value pada pengguna joox
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References
Abyan, M. A. (2018). Konsep penggunaan
financial technology dalam membantu
masyarakat sub urban di Indonesia
dalam melakukan transaksi finansial.
Jurnal Bisnis dan Ekonomi,5(17), 1-
Airlanga, M. (2018). Indonesia digital
landscape 2018. Journal of Business
Management,11(20), 1-46.
Al-Tarawneh, J. M. (2019). Technology
acceptance models and adoption of
innovations: A Literature review.
International Journal of Scientific and
Research Publications (IJSRP), 9(8),
-848.
Anjelina. (2018). Persepsi konsumen pada
penggunaan e-money. Journal Of
Applied Managerial Accounting,2(2),
-102.
Anthony, D., & Mutalemwa, D. K. (2014).
Factors influencing the use of mobile
payments in tanzania: Insights from
Zantel’s Z-pesa1 services. The Journal
of Language, Technology &
Entrepreneurship in Africa,5(2), 69-93.
Baumbach, E. (2015). The Zero-price effect
in a multicomponent product context.
International Journal of Research in
Marketing, 31(2), 1-16.
Chu, C. W., & Lu, H. P. (2007).
Factors influencing online music
purchase intention in Taiwan. Emerald
Journal, 17(2), 139-155.
Coffey, A. (2016). The impact that music
streaming services such as Spotify,
Tidal and Apple Music have had on
consumers, artists and the music
industry itself. Journal of Bussiness
Economic, 23(4), 2-15.
Deningtyas, F., & Arianti, M. (2017).
Factors affecting the adoption of epayment on transportation service
application using modified unified
technology of acceptance and use of
technology 2 model. Proceedings of
Academics World 64th International
Conference,14(15), 38-44.
Dumpit, D. Z., & Fernandez, C. J.
(2017). Analysis of the use of social
media in Higher Education Institutions
(HEIs) using the technology
acceptance model. International
Journal of Educational Technology in
Higher Education, 14(5), 1-16.
Herranz, S., Lui, C., & Cheung, F.
(2018). Targeting millennials using
music streaming apps. Game
Changers, 15(3), 1-17
Lee, Y., Kozar, K. A., & Larsen, K. R.
(2003). The Technology acceptance
model: past, present, and future.
Communications of the Association for
Information Systems,12.
doi:10.17705/1cais.01250
Lee, Y., Kozar, K. A., & Larsen, K. R.
(2016). The Technology acceptance
model: past, present, and future.
Communications of the Association for
Information Systems,12(1), 752-783.
doi:10.17705/1cais.01250
Kabir, M. A., Saidin, S. Z., & Ahmi,
A. (2017). The Influence of perceived
usefulness and perceived ease of use on
the continuous intention to use
electronic collection system in nigerian
hospitals: A Conceptual Approach.
Asian Journal of Multidisciplinary
Studies, 5(6), 225-231.
Koo, H. (2018). Factors affecting streamers'
loyalty to live streaming platforms.
International Telecommunications
Society, 24(7), 1-35.
Machidie, N. (2018). Consumer perception.
Journal of Bussiness Economic, 3(3),
-23.
Malhotra, N. K. (2012). Basic marketing
research : integrating of social media.
Unites States of America: Prentice Hall
Mu, H. L., & Lee, Y. C. (2017). Examining
the influencing factors of third-party
mobile payment adoption: A
Comparative study of Alipay and
WeChat Pay. Journal of Economic
Education,10(26), 247-286.
Niemand, T., Mai, R., & Kraus, S.
(2019). The zero‐price effect in
freemium business models: The
Moderating effects of free mentality
and price–quality inferenceT. Wiley
Physcological Marketing, 20(1), 1-18.
Nizar, M. A. (2017). Teknologi keuangan
(Fintech) : Konsep dan
implementasinya di Indonesia. Jurnal
Bisnis Dan Ekonomi,5(1), 1-11.
Priyono, A. (2017). Analisis pengaruh trust
dan risk dalam penerimaan teknologi
dompet elektronik Go-Pay. Jurnal
Siasat Bisnis,21(1), 88-106.
Sanitnarathorn, P., & Prajaknate, P.
(2018). An analysis of factors affecting
thai consumers’ intention to use music
streaming services. Sian International
Journal of Social Sciences, 18(1), 1-19.
Tanadi, T., Samadi, B., & Gharleghi,
B. (2015). The Impact of perceived
risks and perceived benefits to improve
an online intention among generationY in Malaysia. Asian Social Science,
(26), 226-236.
Usman, R. (2017). Karakteristik uang
elektronik dalam sistem pembayaran.
Yuridika,32(1), 134-167.
Wang, Z., & Li, H. (2016). Factos
influencing usage of third party mobile
payment services in China: An
Empirical study. Journal of Business
Management,23(11), 14-32.
Xiang, J. Y., Jing, L. B., Lee, H. S., &
Choi, Y. (2014). Comparing the effects
of perceived enjoyment and perceived
risk on hedonic/utilitarian smartphone
applications. Human Behavior and
Social Impacts on E-Business, 4(3),
-395
Zhao, K., & Xi, Z. (2015). Analysis on
affecting factors of the users’ adoption
of third-party mobile payment. Human
Behavior and Social Impacts on EBusiness,14(7), 237-245
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