AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The results indicate that ‘reasons for’ AI adoption, including economic, social, and environmental benefits, significantly impact attitudes and intentions, and ‘reasons against’ do not significantly affect intention, indicating that perceived benefits outweigh concerns.
This study examines the combined impact of big data analytics (BDA) and artificial intelligence (AI) on competitive and sustainable firm performance in the food processing industry. It also investigates the mediating role of supply chain innovation capabilities (SCIC) in this relationship, using the dynamic capabil...
It is suggested that AI integration is increasingly a cross-sectoral strategic phenomenon, while adoption barriers remain context-dependent, and that AI support initiatives should combine broad cross-sectoral measures with targeted interventions addressing sector-specific obstacles.
Artificial intelligence (AI) is increasingly embedded in organizational workflows, and employees can access and experiment with AI tools through ‘Bring Your Own AI’ practices. Wider access raises a theoretical question about whether organizational support (OS) continues to guide technology acceptance once AI access is...
Generative AI has significantly reduced the effort and expense of developing and refining venture ideas, without eliminating the uncertainty and resource limitations of executing a venture. This research examines the potential of AI-assisted business ideation (AIBI) to drive behavioral change in accessing entrepreneuri...
Manufacturing firms increasingly invest in artificial intelligence (AI) to support digital transformation and industrial decarbonization, yet these investments do not consistently generate meaningful environmental improvements. Addressing this sustainable development problem, this study aims to examine how supplier...
Foundation models allow artificial intelligence (AI) startups to develop sophisticated products without owning the underlying model, but this speed creates dependence on providers that control model behaviour, availability, pricing, safety settings and lifecycle decisions. This paper examines how the AI venture ecosyst...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.