This research investigates the impact of artificial intelligence (AI) and change leadership on educator engagement and productivity within the Lebanese educational sector. This study is grounded in both social cognitive theory (SCT) and dynamic capabilities theory (DCT), and it examines how AI adoption and change leadership, together with the human-centric factor of educator engagement, influence educators’ productivity in the context of a developing country. Data were collected from educators from various institutions in Lebanon. Confirmatory factor analysis (CFA) was used to verify the validity and reliability of the latent factors under consideration. The hypothesized model derived from SCT and DCT and the literature was tested with structural equation modeling (SEM). The results show that change leadership significantly improves educator engagement and productivity, highlighting its important role in supporting technological transformation in educational institutions. AI has an indirect impact on productivity through educator engagement, which acts as a key mediating factor. These findings stress the significance of promoting a human-centered approach to digital transformation in education. The research offers important insights for policymakers, educators, and institutional leaders who seek to use AI effectively, particularly in environments with limited resources.
Husni Charif, Nour Damaa, Sam El Nemar et al.· Administrative Sciences· 0 citations
Manufacturing firms in emerging economies face growing pressure to address environmental challenges while adopting digital technologies. However, how digital transformation translates into sustainability improvements remains unclear. Drawing on stakeholder theory and dynamic capability theory, this study examines a capability–innovation pathway linking digital transformation to sustainable performance. Data from 286 Vietnamese manufacturing firms were analyzed using partial least squares structural equation modeling. The results show that digital transformation is not directly associated with green innovation or sustainable performance but is positively associated with AI capability and corporate social responsibility (CSR). AI capability is associated with sustainable performance indirectly through green innovation, indicating that technological capabilities may need to be translated into environmentally oriented innovation to create sustainability benefits. Green innovation shows the strongest direct association with sustainable performance, while CSR and green organizational culture are associated with stronger sustainability outcomes by promoting responsible behavior and embedding environmental values into practices. These findings clarify how digital transformation supports sustainability in emerging economy manufacturing firms.
B. Truong, P. Van Nguyen, D. Vrontis et al.· Business Strategy and the En...· 0 citations
This study aims to examine how government regulations are translated into sustainability performance in manufacturing firms by investigating the mediating roles of artificial intelligence (AI) capabilities and absorptive capacity. Drawing on institutional theory and the resource-based view, it explains how regulatory pressure stimulates internal digital capability development and knowledge-processing mechanisms rather than directly improving sustainability outcomes.
Data were collected from 297 managers and senior executives in Vietnamese manufacturing firms. The proposed research model was tested using partial least squares-structural equation modeling.
The results show that government regulations do not have a significant direct effect on sustainability performance but significantly enhance AI capabilities. AI capabilities, in turn, positively affect sustainability performance and both dimensions of absorptive capacity. Potential absorptive capacity significantly improves sustainability performance, whereas realized absorptive capacity has no significant direct effect. These findings reveal asymmetric effects of absorptive capacity: firms appear better able to acquire and assimilate external knowledge than to convert it into measurable sustainability outcomes.
This study contributes to competitiveness and sustainability research by showing that government regulations enhance sustainability performance indirectly through AI-enabled knowledge capabilities. It reconceptualizes AI capabilities as a higher-order strategic resource that strengthens sustainable competitiveness in manufacturing firms, while highlighting possible implementation barriers to converting knowledge into performance.
Huyen Thi My Nguyen, P. V. Nguyen, D. Vrontis· Competitiveness Review: an i...· 0 citations
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