Journal of Analytical and Applied Computer Sciences | Volume 2 Issue 1 | Pages: 21-29
Research Article
OPEN ACCESS | Published on : 30-Jun-2026

The Adoption of Digital Technologies and Service Delivery in Public Organizations in Bauchi State: A Case Study of Bauchi State Ministry of Science, Technology and Innovation


    Rayyan Yusuf
  • Department of Business Administration, Federal University Kashare, Gombe State, Nigeria.

  • Aminu Adamu Ahmed
  • Department of Information Communication Technology, Federal Polytechnic Kaltungo, Gombe State, Nigeria.

Abstract

Digital technology adoption in public sector organizations has become a strategic imperative for improving service delivery quality, administrative efficiency, and citizen satisfaction in developing economies. Despite Nigeria's National Digital Economy Policy 2022–2025 mandating digital transformation across all government ministries, departments, and agencies (MDAs), empirical evidence on the specific mechanisms through which digital technology dimensions translate into service delivery quality improvements particularly in North-Eastern state-level ministries remains limited. This study examined the adoption of digital technologies and their influence on service delivery quality at the Bauchi State Ministry of Science, Technology and Innovation (BMSTI), with digital adoption as a mediating variable. Grounded in the Technology-Organization-Environment (TOE) Framework and the New Public Management (NPM) theory, a quantitative cross-sectional survey design was adopted. A structured questionnaire was administered to 260 staff using stratified random sampling. IBM SPSS Statistics Version 29 was used for descriptive and reliability analysis. SmartPLS Version 4 was employed for PLS-SEM and mediation analysis. Python 3.11 (scikit-learn, matplotlib) was used for Decision Tree feature importance analysis and service delivery KPI visualization. Results showed that digital infrastructure (β = 0.334), e-service deployment (β = 0.278), staff digital capacity (β = 0.247), and leadership support (β = 0.221) each significantly influenced service delivery quality (all p ≤ 0.001), collectively explaining 63.8% of variance (R² = 0.638). Digital adoption mediated all four paths (VAF: 39.7%–42.6%). Python Decision Tree analysis identified digital infrastructure as the most important predictor (Gini importance = 0.312, Rank 1). Service delivery KPIs showed document retrieval time improved by 78.2% and digital service use rate grew by 265.8% between 2019 and 2023. All constructs demonstrated strong reliability (α > 0.82) and validity (AVE > 0.56).

Keywords

Digital Technologies, Service Delivery, Public Sector, PLS-SEM, TOE Framework, New Public Management, Bauchi State

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