Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis

Saudi Arabia's Vision 2030 prioritises digital transformation (DX) to modernise higher education.However, despite significant investment, Saudi public universities (SPUs) face unique challenges in adoption due to a lack of contextspecific frameworks.To address this gap, this study proposes and validates the novel DXA-SPU framework, an integrated model that combines the Technology Acceptance Model (TAM) and the Technology-Organisation-Environment (TOE) framework.The model was evaluated using survey data from 447 SPU participants, with hypothesised relationships analysed via Structural Equation Modelling (SEM).The results supported 12 of the 14 hypotheses.Perceived usefulness and the institutional skills gap emerged as the most significant drivers of adoption.In turn, DX adoption was strongly linked to enhanced institutional performance, administrative efficiency, technical infrastructure, and teaching effectiveness.The DXA-SPU framework offers a validated tool for university leaders to assess DX readiness and align strategic planning with Vision 2030 goals, providing actionable insights for policymakers.

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Publication Details

Journal
Annals of Computer Science and Information Systems
Published
2025-10-15
DOI
https://doi.org/10.15439/2025f8917
Primary Topic
Organizational and Employee Performance
Type
article
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article

Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis

Natalia Beloff, Martin White, Saleh Z Alshehri
Annals of Computer Science and Information Systems
Organizational and Employee Performance
article

Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis

Natalia Beloff, Martin White, Saleh Z Alshehri
article en

Abstract

Saudi Arabia's Vision 2030 prioritises digital transformation (DX) to modernise higher education.However, despite significant investment, Saudi public universities (SPUs) face unique challenges in adoption due to a lack of contextspecific frameworks.To address this gap, this study proposes and validates the novel DXA-SPU framework, an integrated model that combines the Technology Acceptance Model (TAM) and the Technology-Organisation-Environment (TOE) framework.The model was evaluated using survey data from 447 SPU participants, with hypothesised relationships analysed via Structural Equation Modelling (SEM).The results supported 12 of the 14 hypotheses.Perceived usefulness and the institutional skills gap emerged as the most significant drivers of adoption.In turn, DX adoption was strongly linked to enhanced institutional performance, administrative efficiency, technical infrastructure, and teaching effectiveness.The DXA-SPU framework offers a validated tool for university leaders to assess DX readiness and align strategic planning with Vision 2030 goals, providing actionable insights for policymakers.

Annals of Computer Science and Information SystemsVol. 43
University of Sussex (GB)
Openalex Percentile: Top 54%
Organizational and Employee Performance
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Digital Transformation in Saudi Public Universities: A Novel Framework for Adoption Drivers and Impact Analysis — Natalia Beloff, Martin White, et al. · Annals of Computer Science and Information Systems (2025) | TGRS Research Map | TGRS