Digital Transformation, Skills Development, and Entrepreneurial Sustainability in Nigerian Higher Education and Small and Medium Enterprises: An Integrative Review and Framework for Sustainable Development
DOI:
https://doi.org/10.5281/zenodo.23840045Keywords:
digital transformation; entrepreneurship education; SMEs; open and distance learning; digital skills; Nigeria; enterprise resilience; integrative reviewAbstract
Digital technologies increasingly mediate teaching, entrepreneurship training, market information, and enterprise operations in Nigeria. Yet the connections between institutional digital transformation, learning-based competence formation, and sustainable small and medium enterprise (SME) performance remain fragmented across education, entrepreneurship, and fisheries/agricultural enterprise literatures. This integrative review develops a cross-sector interpretation of digital transformation and skills development, distinguishing learning and adoption outcomes from observed entrepreneurial performance. A purposive, transparent integration of 51 previously assembled publications, including supplied full-text papers by Agatha Samson and publications by Samuel Awolumate, was undertaken. Publisher-linked research and comparative reviews were used for interpretation. Sources were organized through structured charting and critical thematic comparison; this is not a systematic or exhaustive search. Findings: Four connected domains recur: digital instructional capacity; entrepreneurial and technical competencies; organizational adoption and institutional support; and enterprise resilience. The literature supports plausible relationships between these domains, but empirical designs are heterogeneous, commonly cross-sectional, and often reliant on intentions or perceptions. Direct evidence linking educational interventions to long-term SME survival or to measured graduate employment is limited. A Digital Learning–Enterprise Sustainability (DLES) framework is proposed to guide future multi-level research and practice. Effective digital transformation requires more than access to technology; instructional design, skill application, financial and institutional support, and measurable enterprise outcomes should be evaluated as distinct yet interacting stages.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Abdulmutallib Umar Baraya (Author); Agatha Samson (Translator); Joy Chinelo Chukwudolue (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Similar Articles
- James Okon Effiong, Anduang Ofuo Odiongenyi, Uwem Udosen Ubong, Aniefiok Effiong Ite, Henrietta Ijeoma Kelle, Sol-Gel Synthesis and Characterization of Carbonated Hydroxyapatite Nanoparticles from Chicken Bone Waste for the Remediation of Malachite Green Dye Contamination of Water , Applied Science, Computing, and Energy: Vol. 4 No. 3 (2026): Volume 4, Issue 3
- Franklin Akwasi Adjei, A Concise Review on Identifying Obesity Early: Leveraging AI and ML Targeted Advantage , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Ndukwe Peter Uchechukwu, Ejikeme Ezo Igbokwe, Dike Ijeoma Inyang, Spatio-Temporal Characterization and Acoustic Mapping of Ambient Noise Levels at Ogbonnaya Onu Polytechnic, Aba, Nigeria: A Multi-Source Compliance Analysis , Applied Science, Computing, and Energy: Vol. 4 No. 5 (2026): Vol 4, Issue 5
- Kolawole Gideon Ige, Abdulwaheed Musa, Machine Learning–Based Failure-Risk Profiling and Preventive Maintenance Prioritisation for 11 kV Distribution Feeders Using Operational Data , Applied Science, Computing, and Energy: Vol. 4 No. 5 (2026): Vol 4, Issue 5
- Mu’awiya Baba Aminu, Khaurat Kadiri, Ayobami Oni, Rabi Elabor, Machine Learning–Driven Remote Sensing Framework for Predicting Groundwater Pollution under Climate Change Scenarios , Applied Science, Computing, and Energy: Vol. 4 No. 2 (2026): Volume 4 Issue 2
- Akinwunmi Peter Balogun, Bridget Olufunmilayo Waheed, Rebecca Josephs Omorodion, The Paradox of Personalization: How Perceived Control Influences Trust and Purchase Intent , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Elizabeth Ope, Yejide R. Alli, Nofisat Abdulsalam, Abiodun Saheed Ajadi, Predictive Financial Risk Monitoring Using Artificial Intelligence, Advanced Machine Learning and Business Strategy Analytics , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Yejide Rasheedat Alli, Elizabeth Ope, Victoria Akiije, Ifeoluwa A. Ojo, Oyindamola Adejumobi, Aniedi Ojo, Frugal Innovation as a Catalyst for Entrepreneurial Growth in Emerging Markets , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Uduak Irene Aletan, Sunday Adenekan, Phytochemical Profiling of Opa eyin, a Traditional Nigerian Herbal Preparation, by GC–MS and Its Potential Pharmacological Implications , Applied Science, Computing, and Energy: Vol. 3 No. 2 (2025): VOLUME 3 ISSUE 2
- Amos Abba, Data, Democracy, and Deep Learning: The Transformative Role of AI in Digital Journalism , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
You may also start an advanced similarity search for this article.