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Abstract

This study aims to identify the factors influencing the intention to use a personal accounting application by employing the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI) theory. The sampling methods were purposive and convenient, focusing on individuals from the Centennial Generation. A total of 201 respondents were selected based on these criteria. The research employed a quantitative approach. The findings reveal that complexity, relative advantage, and observability enhance perceived usefulness; however, they do not have a positive influence on perceived ease of use. On the other hand, compatibility and trialability have a positive impact on both perceived ease of use and perceived usefulness. Additionally, perceived ease of use has a positive influence on perceived usefulness, and both perceived usefulness and perceived ease of use contribute positively to the intention to use.

Keywords

Technology Acceptance Model (TAM) Diffusion of Innovation (DOI) Personal Accounting Application

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References

  1. Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., & Aljeraiwi, A. A. (2019). Integrating technology acceptance model with innovation diffusion theory: An empirical investigation on students’ intention to use e-learning systems. IEEE Access, 7, 26797–26809. https://doi.org/10.1109/ACCESS.2019.2899368
  2. Chong, L.-L., Ong, H.-B., & Tan, S.-H. (2021). Acceptability of mobile stock trading application: A study of young investors in Malaysia. Technology in Society, 64, 101497. https://doi.org/10.1016/j.techsoc.2020.101497
  3. Darshi, G., Nanayakkara, S., & Gunawardana, T. S. L. W. (2020, May). The adoption of computerized accounting system (CAS) in small and medium scale enterprises (SMEs): With special reference to SMEs located in Matara District, Sri Lanka.
  4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
  5. Fahad, & Shahid, M. (2022). Exploring the determinants of adoption of Unified Payment Interface (UPI) in India: A study based on diffusion of innovation theory. Digital Business, 2(2), 100040. https://doi.org/10.1016/j.digbus.2022.100040
  6. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
  7. Kaur, P., Dhir, A., Bodhi, R., Singh, T., & Almotairi, M. (2020). Why do people use and recommend m-wallets? Journal of Retailing and Consumer Services, 56, 102091. https://doi.org/10.1016/j.jretconser.2020.102091
  8. Lanlan, Z., Ahmi, A., & Popoola, O. M. J. (2019). Perceived ease of use, perceived usefulness and the usage of computerized accounting systems: A performance of micro and small enterprises (mses) in China. International Journal of Recent Technology and Engineering, 8(2S2), 324–331. https://doi.org/10.35940/ijrte.B1056.0782S219
  9. Le, O. T. T., & Cao, Q. M. (2020). Examining the technology acceptance model using cloud-based accounting software of Vietnamese enterprises. Management Science Letters, 2781–2788. https://doi.org/10.5267/j.msl.2020.4.032
  10. Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: Perceptions, attitude, and adoption. International Journal of Information Management, 32, 533–540.
  11. Llopis-Amorós, M.-P., Gil-Saura, I., Ruiz-Molina, M. E., & Fuentes-Blasco, M. (2019). Social media communications and festival brand equity: Millennials vs Centennials. Journal of Hospitality and Tourism Management, 40, 134–144. https://doi.org/10.1016/j.jhtm.2019.08.002
  12. McCrindle, M. (2018). The ABC of XYZ: Understanding the Global Generations.
  13. Menzli, L. J., Smirani, L. K., Boulahia, J. A., & Hadjouni, M. (2022). Investigation of open educational resources adoption in higher education using Rogers’ diffusion of innovation theory. Heliyon, 8(7), e09885. https://doi.org/10.1016/j.heliyon.2022.e09885
  14. Min, S., So, K. K. F., & Jeong, M. (2019). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel & Tourism Marketing, 36(7), 770–783. https://doi.org/10.1080/10548408.2018.1507866
  15. Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192
  16. Purnomo, H., Marsely, M., Lestari, W. F., Aryadewa, O., & Oktavia, F. Z. F. (2021). Eksplorasi aplikasi pencatatan keuangan pribadi berbasis android. Seminar Nasional Gabungan Bidang Sosial, 3(1), 145–151.
  17. Pusparisa, Y. (2020, September 15). Pengguna smartphone diperkirakan mencapai 89% populasi pada 2025. Https://Databoks.Katadata.Co.Id/Datapublish/2020/09/15/Pengguna-Smartphone-Diperkirakan-Mencapai-89-Populasi-Pada-2025.
  18. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  19. Sripalawat, J., Thongmak, M., & Ngarmyarn, A. (2011). M-banking in metropolitan Bangkok and a comparison with other countries. Journal of Computer Information Systems (JCIS), 51.
  20. Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565
  21. Tribunella, H., & Tribunella, T. (2016). Twenty questions on the sharing economy and mobile accounting apps. CPA Journal, 86(5).
  22. Yahya, A. (2021). Determinan perilaku konsumtif mahasiswa. Jurnal Pengembangan Wiraswasta, 23(1), 37. https://doi.org/10.33370/jpw.v23i1.506
  23. Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management, 33(5), 505–519. https://doi.org/10.1080/09537325.2020.1826423