Building Digital Adaptation Chains in Higher Education: From Digital Learning Readiness to Retention through Resilience and Competency Development
DOI:
https://doi.org/10.38035/dijemss.v7i4.6412Keywords:
Digital Learning Readiness, Academic Resilience, Competency Development, Lecturer Retention, Digitised Higher Education, Digital Transformation, Adaptation Chain, Workforce SustainabilityAbstract
Digitised higher education increasingly relies on platform-based teaching, assessment, and reporting systems, yet this shift can intensify academic workload and create retention risks when lecturers face persistent digital frictions. This study develops and tests a mechanism-based digital adaptation chain to explain how Digital Learning Readiness (DLR) becomes workforce-sustainable in digitised higher education. Using survey data from 248 lecturers in private nursing higher education institutions and analysing the model with PLS-SEM, the study estimates a serial mediation process linking readiness to lecturer retention intention through academic resilience and competency development. The results support the proposed mechanism: DLR strengthens academic resilience, resilience enables competency development, and competency development emerges as the most proximal driver of retention intention. Notably, readiness alone is insufficient to sustain retention when it is not converted into adaptive capacity and enacted competence, consistent with a “readiness is not enough” interpretation. By shifting readiness research from adoption preparedness toward sustainability mechanisms, the study contributes a process explanation of workforce stability in digital education. The findings offer actionable guidance for institutions and policymakers to sequence interventions—engineering readiness, scaffolding resilience, and institutionalising competency development—to ensure that digital transformation remains people-sustainable.
References
An, R., Qian, G., Mumtaz, A., Alotaibi, K. A., & Wang, X. (2025). Digital fatigue and academic resilience among university students with grit and flexibility as mediators. Scientific Reports, 15(1), 45407. https://doi.org/10.1038/s41598-025-29313-7
Argote, L., & Miron-Spektor, E. (2011). Organizational Learning: From Experience to Knowledge. Organization Science, 22(5), 1123–1137. https://doi.org/10.1287/orsc.1100.0621
Ayala-Perez, T., & Joo-Nagata, J. (2019). The digital culture of students of pedagogy specialising in the humanities in Santiago de Chile. Computers & Education, 133, 1–12. https://doi.org/10.1016/j.compedu.2019.01.002
Bakker, A. B., & de Vries, J. D. (2021). Job Demands–Resources theory and self-regulation: new explanations and remedies for job burnout. Anxiety, Stress, & Coping, 34(1), 1–21. https://doi.org/10.1080/10615806.2020.1797695
Bondanini, G., Giorgi, G., Ariza-Montes, A., Vega-Muñoz, A., & Andreucci-Annunziata, P. (2020). Technostress Dark Side of Technology in the Workplace: A Scientometric Analysis. International Journal of Environmental Research and Public Health, 17(21), 8013. https://doi.org/10.3390/ijerph17218013
Brislin, R. W. (1970). Back-Translation for Cross-Cultural Research. Journal of Cross-Cultural Psychology, 1(3), 185–216. https://doi.org/10.1177/135910457000100301
Britt, T. W., Shen, W., Sinclair, R. R., Grossman, M. R., & Klieger, D. M. (2016). How Much Do We Really Know About Employee Resilience? Industrial and Organizational Psychology, 9(2), 378–404. https://doi.org/10.1017/iop.2015.107
Cabero-Almenara, J., Gutiérrez-Castillo, J. J., Palacios-Rodríguez, A., & Barroso-Osuna, J. (2020). Development of the teacher digital competence validation of DigCompEdu check-in questionnaire in the University context of Andalusia (Spain). Sustainability (Switzerland), 12(15). https://doi.org/10.3390/su12156094
Chang, S.-J., van Witteloostuijn, A., & Eden, L. (2010). From the Editors: Common method variance in international business research. Journal of International Business Studies, 41(2), 178–184. https://doi.org/10.1057/jibs.2009.88
Choubey, A. P., & Agrawal, A. K. (2025). Beyond burnout and engagement: conceptualising the JD-R–GROW framework for workforce sustainability. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-04-2025-5410
Citraresmi, A. D. P., Partiwi, S. G., & Dewi, R. S. (2025). Impact of resilience and sustainability on workforce creative performance: looking through the lens of digital readiness. Cogent Business & Management, 12(1). https://doi.org/10.1080/23311975.2025.2519968
Crawford, J. , B.-H. K. , R. J. , M. B. , G. M. , B. R. , M. P. A. , & L. S. (2020). COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1). https://doi.org/10.37074/jalt.2020.3.1.7
Danxin, L., Mohammed, R., & Ab Rahman, R. B. (2024). A Bibliometric Analysis of Teachers’ Turnover Intention in Higher Education. International Journal of Academic Research in Business and Social Sciences, 14(7). https://doi.org/10.6007/IJARBSS/v14-i7/22114
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Eraut *, M. (2004). Informal learning in the workplace. Studies in Continuing Education, 26(2), 247–273. https://doi.org/10.1080/158037042000225245
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gudergan, S. P., Moisescu, O. I., Radomir, L., Ringle, C. M., & Sarstedt, M. (2025). Special issue editorial: Advanced partial least squares structural equation modeling (PLS-SEM) applications in business research. Journal of Business Research, 188, 115087. https://doi.org/10.1016/j.jbusres.2024.115087
Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., & Cartwright, S. (2023). Improving PLS-SEM use for business marketing research. Industrial Marketing Management, 111, 127–142. https://doi.org/10.1016/j.indmarman.2023.03.010
Hair, J. F. , H. G. T. M. , R. C. M. , & S. M. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R AAWorkbook. http://www.
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
Hairunisya, N., & Narmaditya, B. S. (2025). Digital literacy training and entrepreneurial performance: The role of human resource development and intention to leave. Social Sciences & Humanities Open, 12, 102132. https://doi.org/10.1016/j.ssaho.2025.102132
Hamadi, M., & El-Den, J. (2023). A conceptual research framework for sustainable digital learning in higher education. Research and Practice in Technology Enhanced Learning, 19, 001. https://doi.org/10.58459/rptel.2024.19001
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Hinkin, T. R. (1998). A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106
Hu, X., Xu, W., Wan, Z., Liu, M., & Xu, W. (2025a). Bridging Self-Efficacy and Digital Competence: A Comprehensive Scoping Review of Teachers’ Readiness for the Digital Age. SAGE Open, 15(3). https://doi.org/10.1177/21582440251363716
Hu, X., Xu, W., Wan, Z., Liu, M., & Xu, W. (2025b). Bridging Self-Efficacy and Digital Competence: A Comprehensive Scoping Review of Teachers’ Readiness for the Digital Age. SAGE Open, 15(3). https://doi.org/10.1177/21582440251363716
Hung, M.-L., Chou, C., Chen, C.-H., & Own, Z.-Y. (2010). Learner readiness for online learning: Scale development and student perceptions. Computers & Education, 55(3), 1080–1090. https://doi.org/10.1016/j.compedu.2010.05.004
Ilieva, G., Yankova, T., Ruseva, M., & Kabaivanov, S. (2025). A Framework for Generative AI-Driven Assessment in Higher Education. Information, 16(6), 472. https://doi.org/10.3390/info16060472
Isnainy, U. C. A. S., & Zainaro, M. A. (2024). Lecturer Resilience as a Key Factor in Enhancing Academic Performance: The Influence of Personal Factors, Work Environment, and Institutional Support on Lecturer Productivity in Higher Education Institutions. Jurnal Aisyah : Jurnal Ilmu Kesehatan, 9(1). https://doi.org/10.30604/jika.v9i1.2229
Janssens, O., Andreou, V., Embo, M., Valcke, M., De Ruyck, O., Robbrecht, M., & Haerens, L. (2024). The identification of requirements for competency development during work-integrated learning in healthcare education. BMC Medical Education, 24(1), 427. https://doi.org/10.1186/s12909-024-05428-9
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research. Journal of Consumer Research, 30(2), 199–218. https://doi.org/10.1086/376806
Jebb, A. T., Ng, V., & Tay, L. (2021). A Review of Key Likert Scale Development Advances: 1995–2019. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.637547
Kelloway, E. K., Gottlieb, B. H., & Barham, L. (1999). The source, nature, and direction of work and family conflict: A longitudinal investigation. Journal of Occupational Health Psychology, 4(4), 337–346. https://doi.org/10.1037/1076-8998.4.4.337
Komariyah, I., & Tadjie, G. S. (2025). Analysis of the Impact of Talent Retention and Competency Development Programs on Turnover Intention and Organizational Effectiveness in Banking Companies in Central Java. West Science Interdisciplinary Studies, 3(02), 317–329. https://doi.org/10.58812/wsis.v3i02.1693
Kumar, P., Srivastava, N., & Dangi, H. K. (2025). Comparing Online and Offline Training Modes using Analytic Hierarchy Process. Journal of Business Thought, 103–116. https://doi.org/10.18311/jbt/2025/50769
Kuuyelleh, E. N., Akanpaadgi, E., & Ansoglenang, G. (2025). Perceived organisational injustices and academic staff turnover intentions in Ghanaian technical universities. Social Sciences & Humanities Open, 11, 101278. https://doi.org/10.1016/j.ssaho.2025.101278
Li, B., & Cheng, Y. (2026). Mapping the research landscape of algorithmic control on workers: A bibliometric analysis. Heliyon, 12(1), e44403. https://doi.org/10.1016/j.heliyon.2025.e44403
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121. https://doi.org/10.1037/0021-9010.86.1.114
Luthans, F., Youssef, C. M., & Avolio, B. J. (2006). Psychological Capital. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195187526.001.0001
Mabotha, P. A. P., & Ngcamu, B. S. (2025). Digital Transformation in the Higher Education Sector: A Systematic Literature Review. Administrative Sciences, 16(1), 1. https://doi.org/10.3390/admsci16010001
Malik, M. J. N., Ali, M., Malik, A., & Malik, S. (2025). Twin Threats in Digital Workplace: Technostress and Work Intensification in a Dual-Path Moderated Mediation Model of Employee Health. International Journal of Environmental Research and Public Health, 22(12), 1856. https://doi.org/10.3390/ijerph22121856
Marsh, E., Vallejos, E. P., & Spence, A. (2022). The digital workplace and its dark side: An integrative review. Computers in Human Behavior, 128, 107118. https://doi.org/10.1016/j.chb.2021.107118
Masiello, I., Mohseni, Z. (Artemis), Palma, F., Nordmark, S., Augustsson, H., & Rundquist, R. (2024). A Current Overview of the Use of Learning Analytics Dashboards. Education Sciences, 14(1), 82. https://doi.org/10.3390/educsci14010082
Mather, M. F., & Bam, N. E. (2025). Factors Influencing Academic Staff Satisfaction and Retention in Higher Education: A Literature Review. European Journal of Education, 60(1). https://doi.org/10.1111/ejed.70025
McPherson, A., Lampert, J., & Baptista, A. C. (2025). Teachers who stay in hard-to-staff schools: School responses to the teacher shortage crisis. The Australian Educational Researcher, 52(3), 2163–2182. https://doi.org/10.1007/s13384-025-00806-8
Mdhluli, N. I. (2025). Perils of perpetual connectivity: Navigating the ‘always-on’ culture in the modern workplace. SA Journal of Human Resource Management, 23. https://doi.org/10.4102/sajhrm.v23i0.3019
Menzies, L. (2023). Continuity and churn: understanding and responding to the impact of teacher turnover. London Review of Education, 21(1). https://doi.org/10.14324/LRE.21.1.20
Meyer, J. P., Allen, N. J., & Smith, C. A. (1993). Commitment to organizations and occupations: Extension and test of a three-component conceptualization. Journal of Applied Psychology, 78(4), 538–551. https://doi.org/10.1037/0021-9010.78.4.538
Nazyrova, A., Miłosz, M., Bekmanova, G., Omarbekova, A., Aimicheva, G., & Kadyr, Y. (2025). The Digital Transformation of Higher Education in the Context of an AI-Driven Future. Sustainability, 17(22), 9927. https://doi.org/10.3390/su17229927
Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59(3), 1065–1078. https://doi.org/10.1016/j.compedu.2012.04.016
Nīmante, D., Kokare, M., Baranova, S., & Surikova, S. (2025). Transferring Results of Professional Development into Practice: A Scoping Review. Education Sciences, 15(1), 95. https://doi.org/10.3390/educsci15010095
Okoye, K., Campos, E., Das, A., Chakraborty, V., Ghosh, M., Chakrabarti, A., & Hosseini, S. (2025). Impact of digitalized-education upon sustainable education and practice: A systematic review and meta-analysis of literature based on pre-intra-and-post pandemic and rural education development. Sustainable Futures, 10, 100851. https://doi.org/10.1016/j.sftr.2025.100851
Olivares Olivares, S. L., Lopez, M., Martinez, R., Nigenda Alvarez, J. P., & Valdez-García, J. E. (2021). Faculty readiness for a digital education model: A self-assessment from health sciences educators. Australasian Journal of Educational Technology, 37(5), 116–127. https://doi.org/10.14742/ajet.7105
Pawirosumarto, S. (2026). Green HRM and Social Responsibility: A Decade of Evidence (2015–2024) on Triple-Bottom-Line Outcomes and Stakeholder Implications. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.70426
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of Method Bias in Social Science Research and Recommendations on How to Control It. Annual Review of Psychology, 63(1), 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
Polat, M. (2024). Readiness, resilience, and engagement: Analyzing the core building blocks of online education. Education and Information Technologies, 29(13), 1–28. https://doi.org/10.1007/s10639-024-12534-0
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Ramírez-Correa, P. E., Mariano, A. M., & Santos, M. R. (2025). Digital and Sustainable Education and Social Inclusion: A Bibliometric Review with the Consolidated Meta-Analytical Approach. Sustainability, 17(13), 5677. https://doi.org/10.3390/su17135677
Redecker, C., & Punie, Y. (2017). Digital Competence of Educators DigCompEdu.
Reyes-Millán, M., Villareal-Rodríguez, M., Murrieta-Flores, M. E., Bedolla-Cornejo, L., Vázquez-Villegas, P., & Membrillo-Hernández, J. (2023). Evaluation of online learning readiness in the new distance learning normality. Heliyon, 9(11), e22070. https://doi.org/10.1016/j.heliyon.2023.e22070
Rosero-Ordóñez, S. L. (2025). Fatiga digital en docentes universitarios: impacto del uso intensivo de plataformas virtuales en la enseñanza y el bienestar laboral. RECIE. Revista Caribeña de Investigación Educativa, 9, e9824. https://doi.org/10.32541/recie.v9.824
Salanova, M., Llorens, S., & Schaufeli, W. B. (2011). “Yes, I Can, I Feel Good, and I Just Do It!” On Gain Cycles and Spirals of Efficacy Beliefs, Affect, and Engagement. Applied Psychology, 60(2), 255–285. https://doi.org/10.1111/j.1464-0597.2010.00435.x
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial Least Squares Structural Equation Modeling. In Handbook of Market Research (pp. 587–632). Springer International Publishing. https://doi.org/10.1007/978-3-319-57413-4_15
Sava, S., Grosseck, G., & Malița, L. (2024). Training Needs Analysis for Digital Assessment in Higher Education (pp. 3–26). https://doi.org/10.1007/978-981-97-6136-4_1
Scherer, R., Howard, S. K., Tondeur, J., & Siddiq, F. (2021). Profiling teachers’ readiness for online teaching and learning in higher education: Who’s ready? Computers in Human Behavior, 118, 106675. https://doi.org/10.1016/j.chb.2020.106675
Schmid, M., Brianza, E., & Petko, D. (2020). Developing a short assessment instrument for Technological Pedagogical Content Knowledge (TPACK.xs) and comparing the factor structure of an integrative and a transformative model. Computers & Education, 157, 103967. https://doi.org/10.1016/j.compedu.2020.103967
Shamsudin, M. F., Ahmad, A. H., & Hassim, A. A. (2024). Exploring the Impact of Online Assessment Tools and Digital Proctoring on Academic Integrity in Higher Education: Case of Universiti Kuala Lumpur (pp. 4–22). https://doi.org/10.2991/978-94-6463-554-6_2
Shi, Y. R., Sin, K. F. K., & Wang, Y. (2025). Teacher professional development of digital pedagogy for inclusive education in post-pandemic era: Effects on teacher competence, self-efficacy, and work well-being. Teaching and Teacher Education, 168. https://doi.org/10.1016/j.tate.2025.105230
Si, A. Jr. P. (2024). Unveiling the Barriers to Digital Transformation in Higher Education Institutions: A Systematic Literature Review. https://doi.org/10.21203/rs.3.rs-4970233/v1
Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15(3), 194–200. https://doi.org/10.1080/10705500802222972
Sun, T., & Yoon, M. (2025). The impact of digital transformation on faculty performance in higher education: the mediating role of digital self-efficacy and the moderating role of task-technology fit. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1693375
Tahir, M. H. M., Saputra, S., Othman, S., Shah, D. S. M., Sulaiman, S. H., Azhari, M. A., & Mohandas, E. S. (2025). Online assessment in higher education: A systematic literature review. Multidisciplinary Reviews, 9(1), 2026024. https://doi.org/10.31893/multirev.2026024
Tarafdar, M., Pullins, E. Bolman., & Ragu‐Nathan, T. S. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432–2440. https://doi.org/10.1016/j.compedu.2011.06.008
TETT, R. P., & MEYER, J. P. (1993). JOB SATISFACTION, ORGANIZATIONAL COMMITMENT, TURNOVER INTENTION, AND TURNOVER: PATH ANALYSES BASED ON META‐ANALYTIC FINDINGS. Personnel Psychology, 46(2), 259–293. https://doi.org/10.1111/j.1744-6570.1993.tb00874.x
Trujillo-Juárez, S.-I., Chaparro-Sánchez, R., Morita-Alexander, A., Escudero-Nahón, A., & Delgado-González, A. (2025). Strengthening teacher digital competence in higher education through micro-courses: a systematic literature review. Discover Education, 4(1), 247. https://doi.org/10.1007/s44217-025-00687-0
van Zoonen, W., & Sivunen, A. E. (2024). Understanding the viability conundrum in online crowdwork: The costs of unprecedented autonomy. Journal of Business Research, 185, 114912. https://doi.org/10.1016/j.jbusres.2024.114912
van Zoonen, W., von Bonsdorff, M. E., & van der Heijden, B. I. J. M. (2025). Algorithmic surveillance and workers’ compliance: The role of trust, privacy concerns, and fairness in online crowdwork. Human Relations. https://doi.org/10.1177/00187267251379698
Veles, N., & Takagi, K. (2026). Developing sustainable careers in higher education: third space professionals in Australia and Japan. Journal of Higher Education Policy and Management, 48(2–3), 346–364. https://doi.org/10.1080/1360080X.2025.2548477
Weng, C., & Wirda, M. A. (2025). The effect of student’s online learning readiness to student’s engagement, satisfaction and achievement in higher education, Indonesia. Education and Information Technologies, 30(7), 9711–9736. https://doi.org/10.1007/s10639-024-13204-x
Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14(2), 121–141. https://doi.org/10.1037/1072-5245.14.2.121
Yang, D., Liu, J., Wang, H., Chen, P., Wang, C., & Metwally, A. H. S. (2025). Technostress among teachers: A systematic literature review and future research agenda. Computers in Human Behavior, 168, 108619. https://doi.org/10.1016/j.chb.2025.108619
Zaimoğlu, S., & Dağtaş, A. (2025). Enhancing well-being in higher education: the role of job satisfaction and resilience among ELT instructors. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1629498
Zhao, Y., & Watterston, J. (2021). The changes we need: Education post COVID-19. Journal of Educational Change, 22(1), 3–12. https://doi.org/10.1007/s10833-021-09417-3
Zhou, L., Lei, X., Cooke, F. L., Huang, X., & Zhang, J. (2025). The Dual Effects of Algorithmic Management on Platform Workers: An Attribution Perspective. Human Resource Management, 64(6), 1687–1707. https://doi.org/10.1002/hrm.70009
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