@misc{Bari_Prashant_AI,
 author={Bari, Prashant and Tapas, Poornima},
 howpublished={online},
 publisher={Zielona Góra: Faculty of Economics and Management Press},
 language={eng},
 abstract={Research background and purpose: Artificial intelligence (AI) is being increasingly used in digital commerce. It helps small and medium-sized enterprises (SMEs) improve efficiency, enhance customer engagement, and support data-based decisions. However, research on AI adoption in SME e-commerce is still in emerging stage. This study aims to synthesize existing work and identify key applications, drivers, and constraints.},
 abstract={Design/methodology/approach: The study uses a systematic literature review (SLR) based on the PRISMA framework. Relevant studies were identified, screened, verified, and included from major databases using PRISMA. A total of 92 peer-reviewed articles were selected and analysed using thematic analysis.},
 abstract={Findings: The findings show that SMEs have yet leveraged very limited capabilities of AI for business operations. Common applications include chatbots, recommendation systems, predictive analytics, and AI-enabled CRM tools. Key contributor to adoption is technological, organizational, and environmental factors. While AI offers benefits such as cost efficiency and improved decision-making, challenges such as limited infrastructure, skill gaps, and governance concerns persist.},
 abstract={Value added and limitations: The study aims integrating diverse literature and presents in unified format in context of AI adoption in case of SMEs in e-Commerce. Key theories such as TOE, Dynamic Capabilities, Diffusion of Innovation, and Resource Dependency Theory and their interrelation is discussed. Finally, research gap and scope for Future research is presented.},
 title={AI adoption in small and medium-sized e-commerce enterprise: current state and future research agenda},
 type={artykuł},
 keywords={artificial intelligence, SME, e-commerce, technology adoption, digital transformation, sztuczna inteligencja, wdrażanie technologii, transformacja cyfrowa},
}