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All issues Volume 426 (2023) E3S Web Conf., 426 (2023) 02126 References
Open Access
Issue
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
Article Number 02126
Number of page(s) 7
Section Innovative Management and Sustainable Society
DOI https://doi.org/10.1051/e3sconf/202342602126
Published online 15 September 2023
  1. R. A. Rahadi, N. R. R. Putri, S. Soekarno, S. M. Da-Mayanti, I. Murtaqi, and J. Saputra, “Analyzing cashless behavior among generation z in indonesia,” Int. J. Data Netw. Sci., vol. 5, no. 4, pp. 601–612, Sep. 2021, doi: 10.5267/j.ijdns.2021.8.007. [CrossRef] [Google Scholar]
  2. I. Bank, “Statistik Sistem Pembayaran dan Infrastruktur Pasar Keuangan (SPIP),” https://www.bi.go.id/id/statistik/ekonomi-keuangan/spip/default.aspx, 2023. [Google Scholar]
  3. W. M. Y. Teoh, S. C. Chong, B. Lin, and J. W. Chua, “Factors affecting consumers’ perception of electronic payment: An empirical analysis,” Internet Res., vol. 23, no. 4, pp. 465– 485, 2013, doi: 10.1108/IntR-09-2012-0199. [CrossRef] [Google Scholar]
  4. N. Schillewaert, M. J. Ahearne, R. T. Frambach, and R. K. Moenaert, “The adoption of information technology in the sales force,” Ind. Mark. Manag., vol. 34, no. 4 SPEC ISS., pp. 323–336, 2005, doi: 10.1016/j.indmarman.2004.09.013. [CrossRef] [Google Scholar]
  5. Natalia Tangke, “Analisa Penerimaan Penerapan Teknik Audit Berbantuan Komputer (Tabk) Dengan Menggunakan Technology Acceptance Model (Tam) Pada Badan Pemeriksa Keuangan (Bpk) Ri,” J. Akunt. dan Keuang., vol. 6, no. 1, pp. 10–28, 2004, [Online]. Available: http://puslit2.petra.ac.id/ejournal/index.php/aku/article/view/16151 [Google Scholar]
  6. R. Walczuch, J. Lemmink, and S. Streukens, “The effect of service employees’ technology readiness on technology acceptance,” Inf. Manag., vol. 44, no. 2, pp. 206–215, Mar. 2007, doi: 10.1016/J.IM.2006.12.005. [CrossRef] [Google Scholar]
  7. A. Mulyana and H. Wijaya, “Perancangan E-Payment System pada E-Wallet Menggunakan Kode QR Berbasis Android,” Komputika J. Sist. Komput., vol. 7, no. 2, pp. 63–69, Oct. 2018, doi: 10.34010/KOMPUTIKA.V7I2.1511. [CrossRef] [Google Scholar]
  8. Y. Pei, S. Wang, J. Fan, and M. Zhang, “An empirical study on the impact of perceived benefit, risk and trust on E-payment adoption: Comparing quick pay and union pay in China,” Proc. - 2015 7th Int. Conf. Intell. Human-Machine Syst. Cybern. IHMSC 2015, vol. 2, pp. 198–202, Nov. 2015, doi: 10.1109/IHMSC.2015.148. [Google Scholar]
  9. C. K. Ayo and W. I. Ukpere, “Design of a secure unified e-payment system in Nigeria : A case study,” vol. 4, no. 9, pp. 1753–1760, 2010. [Google Scholar]
  10. R. Gokilavani, M. D. Venkatesh, D. M. Durgarani, and D. R. Mahalakshmi, “CAN INDIA MOVE TOWARDS DIGITAL SOVERIGN CURRENCY? A STUDY ON PERCEPTION OF CONSUMERS TOWARDS DIGITAL PAYMENT”, Accessed: Apr. 24, 2023. [Online]. Available: http://www.acadpubl.eu/hub/ [Google Scholar]
  11. F. J. Liébana-Cabanillas, J. Sánchez-Fernández, and F. Muñoz-Leiva, “Role of gender on acceptance of mobile payment,” Ind. Manag. Data Syst., vol. 114, no. 2, pp. 220– 240, 2014, doi: 10.1108/IMDS-03-2013-0137. [CrossRef] [Google Scholar]
  12. S. Punwatkar and M. Verghese, “Adaptation of e-Wallet Payment: An Empirical Study on Consumers’ Adoption Behavior in Central India”. [Google Scholar]
  13. F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q. Manag. Inf. Syst., vol. 13, no. 3, pp. 319–339, 1989, doi: 10.2307/249008. [CrossRef] [Google Scholar]
  14. I. Ajzen and M. Fishbein, “Attitude-behavior relations: A theoretical analysis and review of empirical research,” Psychol. Bull., vol. 84, no. 5, pp. 888–918, 1977, doi: 10.1037/0033-2909.84.5.888. [CrossRef] [Google Scholar]
  15. V. Venkatesh and F. D. Davis, “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,” Manage. Sci., vol. 46, no. 2, pp. 186–204, 2000, doi: 10.1287/MNSC.46.2.186.11926. [CrossRef] [Google Scholar]
  16. H. M. Jogiyanto, Sistem informasi keperilakuan. Andi Offset. Yogyakarta, 2007. [Google Scholar]
  17. M.-C. Lee, “Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit,” Electron. Commer. Res. Appl., vol. 8, no. 3, pp. 130–141, May 2009, doi: 10.1016/J.ELERAP.2008.11.006. [CrossRef] [Google Scholar]
  18. R. Saadé and B. Bahli, “The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model,” Inf. Manag., vol. 42, no. 2, pp. 317– 327, Jan. 2005, doi: 10.1016/J.IM.2003.12.013. [CrossRef] [Google Scholar]
  19. A. B. Pratama and I. D. G. D. Suputra, “Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan, dan Tingkat Kepercayaan Pada Minat Menggunakan Uang Elektronik,” E-Jurnal Akunt., vol. 27, no. 2, pp. 927–953, May 2019, doi: 10.24843/EJA.2019.V27.I02.P04. [Google Scholar]
  20. M. Budiantara, H. Gunawan, and E. S. Utami, “Perceived Usefulness, Perceived Ease of Use, Trust in Online Store, Perceived Risk Sebagai Pemicu Niat Beli Online Pada Produk Umkm ‘Made in Indonesia’ Melalui Penggunaan E-Commerce Marketplace,” J. Ris. Akunt. Mercu Buana, vol. 5, no. 1, p. 19, 2019, doi: 10.26486/jramb.v5i1.783. [CrossRef] [Google Scholar]
  21. X. Dong, Y. Chang, Y. Wang, and J. Yan, “Understanding usage of Internet of Things (IOT) systems in China: Cognitive experience and affect experience as moderator,” Inf. Technol. People, vol. 30, no. 1, pp. 117–138, 2017, doi: 10.1108/ITP-11-2015-0272/FULL/XML. [CrossRef] [Google Scholar]
  22. V. Chauhan, R. Yadav, and V. Choudhary, “Analyzing the impact of consumer innovativeness and perceived risk in internet banking adoption: A study of Indian consumers,” Int. J. Bank Mark., vol. 37, no. 1, pp. 323–339, Feb. 2019, doi: 10.1108/IJBM-02-2018-0028/FULL/XML. [CrossRef] [Google Scholar]
  23. N. N. Duy Phuong, L. T. Luan, V. Van Dong, and N. Le Nhat Khanh, “Examining customers’ continuance intentions towards e-wallet usage: The emergence of mobile payment acceptance in Vietnam,” J. Asian Financ. Econ. Bus., vol. 7, no. 9, pp. 505–516, 2020, doi: 10.13106/JAFEB.2020.VOL7.NO9.505. [CrossRef] [Google Scholar]
  24. R. and R. M. Radner, “Allocation of an indivisible resource: Optimal control and prices,” 1975. https://pages.stern.nyu.edu/~rradner/publishedp apers/35AllocationofEffort.pdf (accessed Apr. 24, 2023). [Google Scholar]
  25. A. G. Cudjoe, P. A. Anim, and J. G. N. Tetteh Nyanyofio, “Determinants of Mobile Banking Adoption in the Ghanaian Banking Industry: A Case of Access Bank Ghana Limited,” J. Comput. Commun., vol. 03, no. 02, pp. 1–19, 2015, doi: 10.4236/jcc.2015.32001. [CrossRef] [Google Scholar]
  26. T. Pipitwanichakarn and N. Wongtada, “The role online review on mobile commerce adoption: an inclusive growth context”, doi: 10.1108/JABS-02-2019-0060. [Google Scholar]
  27. A. Parasuraman, “Technology Readiness Index (Tri),” http://dx.doi.org/10.1177/109467050024001, vol. 2, no. 4, pp. 307–320, May 2000, doi: 10.1177/109467050024001. [Google Scholar]
  28. L. Ming, L. Chong, and M. Moi, “PROFESSIONAL STUDENTS’ TECHNOLOGY READINESS, PRIOR COMPUTING EXPERIENCE AND ACCEPTANCE OF AN E-LEARNING SYSTEM,” Manag. Account. Rev., vol. 6, no. 1, pp. 85–100, Jun. 2007, doi: 10.24191/MAR.V6I1.505. [Google Scholar]
  29. P nar, “INTEGRATION OF TECHNOLOGY READINESS (TR) INTO THE TECHNOLOGY ACCEPTANCE MODEL (TAM) FOR M-SHOPPING,” 2015. [Google Scholar]
  30. R. Buyle, M. Van Compernolle, E. Vlassenroot, Z. Vanlishout, P. Mechant, and E. Mannens, “‘Technology Readiness and Acceptance Model’ as a Predictor for the Use Intention of Data Standards in Smart Cities,” Media Commun., vol. 6, no. 4, pp. 127–139, Dec. 2018, doi: 10.17645/MAC.V6I4.1679. [CrossRef] [Google Scholar]
  31. J. C. Oh, S. J. Yoon, and N. Chung, “The role of technology readiness in consumers’ adoption of mobile internet services between South Korea and China,” Int. J. Mob. Commun., vol. 12, no. 3, pp. 229–248, 2014, doi: 10.1504/IJMC.2014.061460. [CrossRef] [Google Scholar]
  32. F. B. Franque, T. Oliveira, C. Tam, and F. de O. Santini, “A meta-analysis of the quantitative studies in continuance intention to use an information system,” Internet Res., vol. 31, no. 1, pp. 123–158, Feb. 2021, doi: 10.1108/INTR-03-2019-0103/FULL/XML. [Google Scholar]
  33. A. Bhattacherjee, “Understanding information systems continuance: An expectation-confirmation model,” MIS Q. Manag. Inf. Syst., vol. 25, no. 3, pp. 351–370, 2001, doi: 10.2307/3250921. [CrossRef] [Google Scholar]
  34. K. Atchariyachanvanich, N. Sonehara, and H. Okada, “What are the Benefits of Continued Purchasing through the Internet? A Study of South Korean Consumers,” J. Serv. Sci. Manag., vol. 01, no. 01, pp. 101–110, 2008, doi: 10.4236/JSSM.2008.11010. [Google Scholar]
  35. L. C. Alain Yee-, “Understanding Mobile Commerce Continuance Intentions: An Empirical Analysis of Chinese Consumers,” http://dx.doi.org/10.1080/08874417.2013.11645647, vol. 53, no. 4, pp. 22–30, 2015, doi: 10.1080/08874417.2013.11645647. [Google Scholar]
  36. D. Amoroso and R. Lim, “The mediating effects of habit on continuance intention,” Int. J. Inf. Manage., vol. 37, no. 6, pp. 693–702, Dec. 2017, doi: 10.1016/J.IJINFOMGT.2017.05.003. [CrossRef] [Google Scholar]
  37. J. W. Creswell, Research Design Pendekatan Kualitatif, Kuantitatif, dan Mixed Pustaka Pelajar, Edisi Keti. 2017. Accessed: Mar. 13, 2023. [Online]. Available: https://pustakapelajar.co.id/buku/research-design-pendekatan-kualitatif-kuantitatif-dan-mixed/ [Google Scholar]
  38. R. E. A. Joseph. Hair, William C. Black, Barry J. Babin, “Multivariate_Data_Analysis_7th_Edition.pdf. “ pp. 1–761, 2006. [Google Scholar]
  39. S. M. Saad, R. Bahadori, H. Jafarnejad, and M. F. Putra, “Smart Production Planning and Control: Technology Readiness Assessment,” Procedia Comput. Sci., vol. 180, pp. 618–627, 2021, doi: 10.1016/j.procs.2021.01.284. [CrossRef] [Google Scholar]

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