LITERASI DIGITAL DAN PEMBENTUKAN KESIAPAN ASN DIGITAL: PERAN MEDIASI PENERIMAAN TEKNOLOGI PADA MAHASISWA ADMINISTRASI PUBLIK

Authors

  • Nico Pranata Mulya STABN Sriwijaya
  • Nindi Riyan Gustin Universitas Pamulang, Banten, Indonesia
  • Frans Dika Permana Universitas Andalas, Padang, Indonesia
  • Nida Silvia Lestari Universitas Pamulang, Banten, Indonesia

DOI:

https://doi.org/10.32938/jan.v8i1.10820

Keywords:

Digital literacy, Digital readiness, Public sector workforce, Digital government, Technology Acceptance Model

Abstract

This study aims to examine the effect of digital literacy on digital readiness among prospective civil servants, with technology acceptance serving as a mediating variable. The sample consisted of 150 undergraduate students enrolled in the Public Administration program at Universitas Pamulang, Serang Campus. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0 software. The results indicate that digital literacy has a positive and significant effect on digital readiness among prospective civil servants (β = 0.346, p < 0.05). Digital literacy also significantly influences technology acceptance (β = 0.667, p < 0.05), while technology acceptance positively and significantly affects digital readiness (β = 0.423, p < 0.05). Mediation analysis reveals that technology acceptance partially mediates the relationship between digital literacy and digital readiness (β = 0.282, p < 0.05). The proposed model explains 49.4% of the variance in digital readiness. These findings contribute to the literature by integrating the Digital Competence Framework and the Technology Acceptance Model to explain individual-level digital readiness in the public sector context. Practically, the study provides insights for higher education institutions in designing curricula that strengthen digital competencies and foster positive attitudes toward technology to prepare graduates for digital government transformation.

References

Ab Hamid, M. R., Sami, W., & Sidek, M. M. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(1), 012163. https://doi.org/10.1088/1742-6596/890/1/012163

Ahad, M. P. Y., & Barsei, A. N. (2023). Collaborative governance sistem pemerintahan berbasis elektronik: Best practice dari pemerintah daerah di Indonesia. Jurnal Transformasi Administrasi, 13(1), 52–74. https://doi.org/10.56196/jta.v13i01.236

Antonietti, C., Cattaneo, A., & Amenduni, F. (2022). Can teachers’ digital competence influence technology acceptance in vocational education? Computers in Human Behavior, 132, 107266. https://doi.org/10.1016/j.chb.2022.107266

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

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Khan, N., Sarwar, A., Chen, T. B., & Khan, S. (2022). Connecting digital literacy in higher education to the 21st century workforce. Knowledge Management & E-Learning, 14(1), 46–61. https://doi.org/10.34105/j.kmel.2022.14.004

Khoza, T. K., Mabitsela, T., & Nel, P. (2024). Technology readiness, technology acceptance, and work engagement: A mediational analysis. SA Journal of Industrial Psychology, 50, 2131. https://doi.org/10.4102/sajip.v50i0.2131

Mohd Dzin, N. H., & Lay, Y. F. (2021). Validity and reliability of adapted self-efficacy scales in Malaysian context using PLS-SEM approach. Education Sciences, 11(11), 676. https://doi.org/10.3390/educsci11110676

OECD. (2024). 2023 OECD Digital Government Index: Results and key findings. OECD Publishing. https://doi.org/10.1787/1a89ed5e-en

Potgieter, I. L., Coetzee, M., & Ferreira, N. (2023). University students’ digital world of work readiness in relation to their employability competency. Journal of Learning Development in Higher Education, (27). https://doi.org/10.47408/jldhe.vi27.922

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189

Silitonga, M. S. (2023). The public sector’s digital skills gap in Indonesia: The challenges and opportunities. Jurnal Good Governance, 19(1), 70–79. https://doi.org/10.32834/gg.v19i1.585

UNDP. (2022). Digital public workforce capability framework. United Nations Development Programme. https://www.undp.org/publications/digital-public-workforce-capability-framework (undp.org in Bing)

Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The digital competence framework for citizens—With new examples of knowledge, skills and attitudes. Publications Office of the European Union. https://doi.org/10.2760/115376

Yang, J., & Lou, K. (2024). Exploring the nexus of self-efficacy in digital literacy and technology acceptance: Insights from L2 Chinese teachers. Asia Pacific Journal of Education. https://doi.org/10.1080/02188791.2024.2336247

Zhao, X., Lynch, J. G., Jr., & Chen, Q. (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206. https://doi.org/10.1086/651257

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Published

2026-04-30

How to Cite

Mulya, N. P., Gustin, N. R., Permana , F. D., & Lestari , N. S. (2026). LITERASI DIGITAL DAN PEMBENTUKAN KESIAPAN ASN DIGITAL: PERAN MEDIASI PENERIMAAN TEKNOLOGI PADA MAHASISWA ADMINISTRASI PUBLIK. JianE (Jurnal Ilmu Administrasi Negara), 8(1), 55–67. https://doi.org/10.32938/jan.v8i1.10820