AI Adoption in Jordanian SMEs: The Influence of Technological and Organizational Orientations
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This study examines the factors influencing the adoption of artificial intelligence (AI) in small and medium-sized enterprises (SMEs) in Jordan, a key player in the growing Middle Eastern economy. Rooted in the Technology–Organization–Environment framework, we specifically focus on the role of technological capabilities and organizational dynamics in shaping AI adoption within Jordanian SMEs. A comprehensive survey involving 364 SME owner-managers in Jordan serves as the empirical foundation. Findings reveal the significant impact of employee IT knowledge, IT infrastructure, managerial commitment, training initiatives and well-designed reward systems in shaping SME owners’ or managers’ attitudes to AI. These findings provide valuable insights for SME leaders and stakeholders, guiding them in developing strategies to smoothly integrate AI technologies in line with Jordan’s societal needs. The article concludes by emphasizing the study’s contributions, implications and limitations while suggesting potential directions for future research in this field.
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Integrating RBV, DC, and TOE frameworks provides a comprehensive understanding of AI adoption and value creation potential in SMEs across developing economies.
“The adoption and value creation potential of AI in SMEs across developing economies can be comprehensively understood by integrating three complementary theoretical frameworks: the RBV, DC, and TOE (Almashawreh et al., 2024; Badghish & Soomro, 2024; Shahadat et al., 2023).”
From Artificial Intelligence Adoption for Sustainable Development in SMEs: Challenges, Strategic Pathways, and Lessons for Developing Economies (2026) · cites this paper as Almashawreh et al., 2024
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References 136 · Cited by 39
- Authors
- Almashawreh, R., Talukder, M., Charath, S. K., & Khan, M. I.
- Affiliations
- University of Canberra (AU)
- Canberra Business School, University of Canberra, Australian Capital Territory, Australia
- Corresponding author
- Khan, Md Irfanuzzaman
- Venue
- Global Business Review
- Publisher
- SAGE Publications
- Published
- 2024-06-02
- ISSN
- 0972-1509 (ISSN-L)
- 0973-0664
- OpenAlex
- W4399297271
- Cited by
- 39
- References
- 136
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 3
- FWCI
- 14.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Global Business Review (publishedVersion, cc-by-nc)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence adoption, small and medium-sized enterprises, Jordanian SMEs, technology-organization-environment framework, technological capabilities, organizational capabilities, IT infrastructure, management commitment, employee training, reward systems, attitudes toward AI, Jordan
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