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.

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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
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article

Revolutionizing Organizational Efficiency: The Role of AI, Employee Engagement and Technological Readiness

Sharmila Devi Ramachandaran, Ali Bux, Hu Yamin, Jin Lifu et al.
International Journal of Software Engineering and Knowledge Engineering
Impact of AI and Big Data on Business and Society
article

Revolutionizing Organizational Efficiency: The Role of AI, Employee Engagement and Technological Readiness

Sharmila Devi Ramachandaran, Ali Bux, Hu Yamin, Jin Lifu, Nitin Tandra
article en

Abstract

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.

International Journal of Software Engineering and Knowledge EngineeringVol. 36(04)
Jiangsu University (CN), INTI International University (MY)
Openalex Percentile: Top 67%
Impact of AI and Big Data on Business and Society
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