Bari, Prashant ; Tapas, Poornima
Współtwórca:Stankiewicz, Janina - red. nacz. ; Preston, Peter- red. jęz. ; Zmyślony, Roman - red. statyst. ; Skalik, Jan - red. ; Moczulska, Marta - red. ; Adamczyk, Janusz- red.
Tytuł: Tytuł publikacji grupowej: Temat i słowa kluczowe:artificial intelligence ; SME ; e-commerce ; technology adoption ; digital transformation ; sztuczna inteligencja ; wdrażanie technologii ; transformacja cyfrowa
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. ; 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. ; 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. ; 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.
Wydawca:Zielona Góra: Faculty of Economics and Management Press
Data wydania: Typ zasobu: Format: DOI: Strony: Źródło:Management, vol. 30, no 1 (2026)
Jezyk: Prawa do dysponowania publikacją: