Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

D. Vrontis

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

Digital Transformation and Sustainable Performance: The Capability–Innovation Pathway

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. · 0 citations
Aug 2026

Turning regulation into sustainability performance: the role of AI-enabled absorptive capacity in manufacturing firms

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 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.