Revolutionizing Organizational Efficiency: The Role of AI, Employee Engagement and Technological Readiness
This study investigates the organizational factors influencing technological readiness for Artificial Intelligence (AI) adoption, using a theoretical lens grounded in Sociotechnical Systems Theory (STS). A survey of 210 participants from educational and industrial institutions in China was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results confirm that AI adoption significantly enhances organizational efficiency and employee engagement, which in turn mediate its impact on technological readiness. By incorporating mediation analysis, the study provides a nuanced understanding of the indirect mechanisms through which AI adoption influences readiness, offering both theoretical and managerial insights for AI-enabled transformation. The integration of STS and rigorous empirical modeling presents a methodologically sound and practically relevant contribution to the field.
Authors
- Sharmila Devi Ramachandaran (ORCID: https://orcid.org/0000-0002-4569-8321)
- Ali Bux
- Hu Yamin
- Jin Lifu
- Nitin Tandra
Institutions
- Jiangsu University (CN)
- INTI International University (MY)
Publication Details
- Journal
- International Journal of Software Engineering and Knowledge Engineering
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1142/s0218194025500718
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00