Open Access
Peer-Reviewed
Foundational Models & Architectures
Adoption Determinants of Fog Computing in Saudi Arabian Public Organisations: a Mixed-methods Study Using the Fca-sapo Framework
Abstract
A new paradigm in information technology and enterprise computing, fog computing allows organisations to significantly boost efficiency and productivity. It is essential in developing countries where resource efficiency is key. However, research is scarce in Saudi Arabia regarding fog computing adoption, especially identifying key influencing factors, benefits, and challenges. To bridge this gap, this study examines the determinants of fog computing adoption in Saudi Arabian public organisations through a mixed-method research approach. Initially, semi -structured interviews were conducted with 15 IT managers to gain qualitative insights. From these discussions, complexity was identified as the only significant barrier to adoption. Subsequently, a large-scale quantitative analysis was carried out, involving 665 IT managers and employees. This phase validated the proposed framework and revealed that, out of 12 identified factors, privacy, complexity, awareness, and senior management support were not significantly associated with adoption intention . By integrating qualitative and quantitative findings, this research highlights the crucial role played by technical, organisational, environmental, and financial factors in influencing fog computing adoption. These insights provide IT managers in Saudi public sector organisations with a comprehensive and strategic understanding, enabling them to make well -informed decisions regarding its effective implementation. With a structured and holistic approach, organisations can maximise the benefits of fog computing while effectively addressing potential challenges, ensuring its successful adoption in the evolving technological landscape.
Keywords
FCA-SAPO Framework
Fog Computing
Mixed-Method Research
Declarations & Ethics
Funding:
This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest:
The authors declare no competing financial or institutional interests.
Peer Review:
Double-blind peer reviewed by international subject specialists.
License:
Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
APA / MLA / BibTeX
Alyami, et al. (2025). Adoption Determinants of Fog Computing in Saudi Arabian Public Organisations: a Mixed-methods Study Using the Fca-sapo Framework. IADIS International Journal on Computer Science and Information Systems, 20(1). https://doi.org/10.33965/ijcsis_2025_v20i1_09
Alyami, et al. "Adoption Determinants of Fog Computing in Saudi Arabian Public Organisations: a Mixed-methods Study Using the Fca-sapo Framework." IADIS International Journal on Computer Science and Information Systems, vol. 20, no. 1, 2025. https://doi.org/10.33965/ijcsis_2025_v20i1_09
Alyami, et al. "Adoption Determinants of Fog Computing in Saudi Arabian Public Organisations: a Mixed-methods Study Using the Fca-sapo Framework." IADIS International Journal on Computer Science and Information Systems 20, no. 1 (2025). https://doi.org/10.33965/ijcsis_2025_v20i1_09