Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation: Insights from stakeholder perspectives

Digital transformation is critical for strengthening governance and improving performance in Nigeria's higher education institutions (HEIs). However, persistent gaps in digital skills, infrastructure, and policy implementation continue to hinder progress. This study investigates these challenges and examines how AI-enabled digital tools can enhance governance, institutional effectiveness, and sustainable education management (SEM). Using a qualitative research design, the study drew on interviews with 21 key stakeholders including university administrators, ICT personnel, policymakers, and student leaders supplemented by documentary and policy analysis. Data were analyzed using interpretative phenomenological analysis and thematic procedures to capture lived experiences and institutional practices related to digital transformation. Findings reveal four dominant issues: inadequate digital literacy among staff, weak governance implementation structures, limited readiness for AI adoption, and significant infrastructural deficits. While participants acknowledged the potential of AI to improve administrative efficiency, decision-making, and academic processes, they also raised concerns about job displacement, ethical risks, and regulatory gaps. To address these challenges, the study proposes the AI-Driven Staff Training Modules and Performance Appraisal (AI-STMsPA) framework, designed to strengthen staff digital skills, promote transparent HR processes, and support sustainable higher education governance. Overall, the study demonstrates that effective digital transformation in Nigerian HEIs requires coordinated interventions that integrate capacity building, ethical AI governance, infrastructure development, and inclusive policy implementation. These insights contribute to achieving Sustainable Development Goals (SDGs) 4, 8, 9, and 16 by promoting quality education, decent work, innovation, and strong institutions.

Authors

Institutions

Publication Details

Journal
Social Sciences & Humanities Open
Published
2026-01-06
DOI
https://doi.org/10.1016/j.ssaho.2025.102348
Citations
2
Primary Topic
Educational Leadership and Innovation
Type
article
Field-Weighted Citation Impact
385.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation: Insights from stakeholder perspectives

Ifeoma Loretto Nnaji, Musa Adekunle Ayanwale, Collins Moses Igwe, Raphael Abumchukwu Ekwunife et al.
2 citations
Social Sciences & Humanities Open
Educational Leadership and Innovation
385.39
article

Enhancing governance and performance in Nigerian higher education through AI-driven digital transformation: Insights from stakeholder perspectives

Ifeoma Loretto Nnaji, Musa Adekunle Ayanwale, Collins Moses Igwe, Raphael Abumchukwu Ekwunife, Chidi Iroko Nwuzor, Ikechukwu Ogeze Ukeje, Emmanuel Onyekachi Okwor
article en
2 citations

Abstract

Digital transformation is critical for strengthening governance and improving performance in Nigeria's higher education institutions (HEIs). However, persistent gaps in digital skills, infrastructure, and policy implementation continue to hinder progress. This study investigates these challenges and examines how AI-enabled digital tools can enhance governance, institutional effectiveness, and sustainable education management (SEM). Using a qualitative research design, the study drew on interviews with 21 key stakeholders including university administrators, ICT personnel, policymakers, and student leaders supplemented by documentary and policy analysis. Data were analyzed using interpretative phenomenological analysis and thematic procedures to capture lived experiences and institutional practices related to digital transformation. Findings reveal four dominant issues: inadequate digital literacy among staff, weak governance implementation structures, limited readiness for AI adoption, and significant infrastructural deficits. While participants acknowledged the potential of AI to improve administrative efficiency, decision-making, and academic processes, they also raised concerns about job displacement, ethical risks, and regulatory gaps. To address these challenges, the study proposes the AI-Driven Staff Training Modules and Performance Appraisal (AI-STMsPA) framework, designed to strengthen staff digital skills, promote transparent HR processes, and support sustainable higher education governance. Overall, the study demonstrates that effective digital transformation in Nigerian HEIs requires coordinated interventions that integrate capacity building, ethical AI governance, infrastructure development, and inclusive policy implementation. These insights contribute to achieving Sustainable Development Goals (SDGs) 4, 8, 9, and 16 by promoting quality education, decent work, innovation, and strong institutions.

Social Sciences & Humanities OpenVol. 13
Nnamdi Azikiwe University (NG), University of Johannesburg (ZA), Federal University Oye Ekiti (NG), Alex Ekwueme Federal University, Ndufu-Alike, Ebonyi State University (NG)
Quality Education
Openalex Percentile: Top 0%
Educational Leadership and Innovation
385.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.