A SEM–ANN analysis to examine impact of artificial intelligence technologies on sustainable performance of SMEs

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 13, 2025

This study investigates the impact of Artificial Intelligence (AI) adoption on sustainable performance small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) Neural Networks (ANN) to examine influence various organizational, technological, external factors AI adoption. Key considered include top management support, employee capability, customer pressure, complexity, vendor relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all proposed significantly positively affect adoption, with advantage being most influential predictors. Additionally, technologies substantially enhances economic, social, environmental SMEs, reflecting improvements in operational efficiency, cost reduction, social value creation. ANN confirm robustness SEM findings, highlighting critical role driving sustainability outcomes. Furthermore, emphasizes positive mediation effects organizational performance, indicating serves as key enabler achieving both short-term gains long-term objectives. contributes understanding AI's transformative enhancing developing economies, offering strategic insights for policymakers business leaders.

Language: Английский

Exploring the impact of ChatGPT on teaching performance: findings from SOR theory, SEM and IPMA analysis approach

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

Identifying Influences: A Machine Learning and Explainable AI Approach to Analyzing Social Media Addiction Resulting from Academic Frustration.

Published: Dec. 19, 2024

Language: Английский