Examining the Determinants of Electronic Government Adoption in Algeria: The Moderating Effects of Trust and Government Policy

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Nourredine Khababa
Cindy Augustie
Meriem Sid
Mohammed Soufiane Benmoussa
Eltahir Ibrahim Elnour Salim
Ismail Bengana

Abstract

This study examines the factors influencing electronic government adoption in Algeria's petroleum sector through the Technology-Organization-Environment (TOE) framework and Diffusion of Innovation (DOI) theory, while investigating the moderating effects of trust and government policy. Data was collected through surveys from 170 companies in Algeria's petroleum sector. The study employed PLS-SEM to test a conceptual framework examining six primary variables (IT infrastructure, security, top management support, organizational culture, awareness, and training) and two moderators (government policy and trust). Results reveal that IT infrastructure and top management support significantly predict e-government adoption. Government policy moderates the relationships between security, awareness, training, and e-government adoption, while trust moderates only the security-adoption relationship. The findings indicate that despite adequate technological infrastructure, organizational and environmental factors critically influence adoption success. This study contributes to e-government adoption literature by demonstrating how trust and government policy moderate adoption decisions in developing countries. For practitioners, it provides evidence-based guidance for enhancing e- government implementation in Algeria's petroleum sector. The integrated framework offers valuable insights for both researchers and practitioners in digital governance.

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How to Cite
Khababa, N., Augustie, C., Sid, M., Benmoussa, M. S., Salim, E. I. E., & Bengana, I. (2025). Examining the Determinants of Electronic Government Adoption in Algeria: The Moderating Effects of Trust and Government Policy. Journal of Cultural Analysis and Social Change, 10(4), 4290–4304. https://doi.org/10.64753/jcasc.v10i4.3780
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