Technology Readiness and Digital Competence as Determinants of Technology Adaptation
DOI:
https://doi.org/10.31851/jmwe.v23i3.22708Keywords:
Technology Readiness, Digital Competence, Technology AdaptationAbstract
Digital transformation requires students to possess adequate technological readiness and digital competence in order to adapt to rapidly evolving technologies. This study aims to analyze the partial and simultaneous effects of Technology Readiness and Digital Competence on students’ Technology Adaptation. The study employed a quantitative approach with an associative research design. The population consisted of 90 first-semester students enrolled in the Digital Business Study Program, and total sampling was applied so that all members of the population were included as respondents. Primary data were collected through questionnaires using a Likert scale and analyzed using multiple linear regression. The results show that Technology Readiness has a positive and significant effect on Technology Adaptation, with a t-value of 4.092 and a significance level of 0.000 < 0.05. Digital Competence also has a positive and significant effect on Technology Adaptation, with a t-value of 5.021 and a significance level of 0.000 < 0.05. Simultaneously, Technology Readiness and Digital Competence significantly affect Technology Adaptation, as indicated by an F-value of 34.726 and a significance level of 0.000 < 0.05. The model explains approximately 44.4% of the variation in Technology Adaptation, while the remaining variation is influenced by other factors outside the model. The standardized beta coefficients indicate that Digital Competence (β = 0.468) contributes relatively more strongly than Technology Readiness (β = 0.381). Therefore, technological readiness supported by strong digital competence is an important factor in enhancing students’ ability to adapt to technological developments.
Keywords:
Technology Readiness, Digital Competence, Technology Adaptation.
References
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
Ferrari, A. (2013). DIGCOMP: A framework for developing and understanding digital competence in Europe. Publications Office of the European Union. https://doi.org/10.2788/52966
Hatlevik, O. E., & Christophersen, K. A. (2013). Digital competence at the beginning of upper secondary school: Identifying factors explaining digital inclusion. Computers & Education, 63, 240–247. https://doi.org/10.1016/j.compedu.2012.11.015
Horrigan, J. B. (2016). Digital readiness gaps. Pew Research Center.
Lin, J.-S. C., & Hsieh, P.-L. (2011). Assessing the self-service technology encounters: Development and validation of SSTQUAL scale. Journal of Retailing, 87(2), 194–206. https://doi.org/10.1016/j.jretai.2011.02.006
Nikou, S. A., & Economides, A. A. (2019). Factors that influence behavioral intention to use mobile-based assessment: A STEM teachers’ perspective. British Journal of Educational Technology, 50(2), 587–600. https://doi.org/10.1111/bjet.12609
Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307–320. https://doi.org/10.1177/109467050024001
Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009
Sudaryanto, M. R., Hendrawan, M. A., & Andrian, T. (2023). The effect of technology readiness, digital competence, perceived usefulness, and ease of use on accounting students artificial intelligence technology adoption. E3S Web of Conferences, 388, 04055. https://doi.org/10.1051/e3sconf/202338804055
Van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Determinants of 21st-century skills and 21st-century digital skills for workers: A systematic literature review. SAGE Open, 10(1). https://doi.org/10.1177/2158244019900176
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.
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