ai
-
The integration of AI into business processes marks a transformative shift, requiring organizations to move from experimental use to enterprise-wide implementation. Successful AI deployment distinguishes between automation and augmentation, urging businesses to redesign workflows and adopt hybrid strategies. Governance, ethics, and continuous optimization are paramount for enduring success in this evolving landscape.
-
Abstract Businesses worldwide are investing in artificial intelligence (AI) with hopes of major productivity gains, yet many organizations see only modest improvements. This research proposal outlines a study on how companies can fulfill the promise of AI-driven productivity by fully integrating AI across all operations. Emphasizing generative AI – the latest AI frontier for creating
-
Artificial intelligence (AI) is increasingly impacting small and medium-sized enterprises (SMEs), which make up over 90% of firms globally. While AI adoption among SMEs is growing due to accessible technologies, significant barriers like skill gaps and costs remain. Addressing these challenges is vital for enhancing productivity, competitiveness, and economic equity.
-
This proposal investigates how small business innovation influences economic equity, focusing on mechanisms that enable fair access to opportunities. It aims to identify factors that promote or hinder this relationship and provide actionable insights for policymakers and entrepreneurs to design strategies that ensure inclusive growth and uplift marginalized communities.
Journal for Policy & Market Research 