Digital Governance Tools Impacting Family Firm Performance Dynamics
Keywords:
Digital literacy, Motivation to learn, Environmental support, Individual performance, Educational technologyAbstract
This study aims to analyze the influence of digital literacy, learning motivation, and environmental support on individual performance in technology use, as well as to test the moderating role of environmental support. The study employs a quantitative approach with an explanatory design. Data were collected through a survey using a structured questionnaire based on a Likert scale. The study sample consisted of 500 students who actively use digital technology in learning and were selected using purposive sampling. Data analysis was conducted using multiple linear regression and moderation tests. The results indicate that digital literacy, learning motivation, and environmental support have a positive and significant effect on individual performance. Learning motivation emerged as the most dominant variable. Additionally, environmental support was found to strengthen the relationship between digital literacy and individual performance. The research model explains 61 percent of the variation in individual performance. These findings indicate that individual performance in technology use is influenced by a combination of internal and external factors. This study contributes to the development of a technology usage behavior model with a more comprehensive approach. Practically, these findings can serve as a basis for formulating strategies to enhance digital literacy, learning motivation, and the provision of a supportive environment in an educational context.
References
Bank, W. (2023). Digital development overview report.
Creswell, J. W., & Creswell, J. D. (2021). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., & Gupta, B. (2020). Impact of COVID-19 pandemic on information management research and practice. International Journal of Information Management, 55, 102211. https://doi.org/10.1016/j.ijinfomgt.2020.102211
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2022). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Springer. https://doi.org/10.1007/978-3-030-80519-7
Helsper, E. J., & van Deursen, A. J. (2021). Digital skills in Europe: Research and policy. Telecommunications Policy, 45(2), 102125. https://doi.org/10.1016/j.telpol.2020.102125
Henseler, J., Ringle, C. M., & Sarstedt, M. (2021). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 49(1), 34–54. https://doi.org/10.1007/s11747-020-00719-1
Hwang, G.-J., Wang, S.-Y., & Lai, C.-L. (2021). Effects of intrinsic motivation on students’ learning engagement in digital environments. Computers & Education, 168, 104223. https://doi.org/10.1016/j.compedu.2021.104223
Kock, N., Hadaya, P., & Ringle, C. M. (2022). Minimum sample size estimation in PLS-SEM. Information Systems Journal, 32(3), 457–478. https://doi.org/10.1111/isj.12348
Oktaviani, R., Suryadi, D., & Nugraha, A. (2023). The role of institutional support in online learning effectiveness. Jurnal Pendidikan Teknologi, 7(1), 45–58.
Pratama, A., & Setiawan, B. (2022). Pengaruh penggunaan platform digital terhadap hasil belajar mahasiswa. Jurnal Pendidikan Indonesia, 11(2), 145–156.
Rahmawati, D., Putri, N., & Hidayat, T. (2021). Digital learning and student performance in higher education. Jurnal Ilmu Pendidikan, 27(3), 210–220.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial least squares structural equation modeling. In Handbook of Market Research (pp. 1–47). https://doi.org/10.1007/978-3-319-05542-8_15-2
Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, 101832. https://doi.org/10.1016/j.cedpsych.2019.101832
Statistik, B. P. (2024). Statistik telekomunikasi Indonesia 2024.
van Laar, E., van Deursen, A. J., van Dijk, J. A., & de Haan, J. (2020). Determinants of digital skills in the 21st century. Computers in Human Behavior, 102, 134–144. https://doi.org/10.1016/j.chb.2019.08.017
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2020). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 21(5), 1–54.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Agus Santosa, Gita Astyka Rahmanda, Aditya Kurniawardana (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
