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		<identifier>oai:zbc.uz.zgora.pl:98539</identifier>
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<dc:title xml:lang="pl"><![CDATA[AI adoption in small and medium-sized e-commerce enterprise: current state and future research agenda]]></dc:title>
<dc:creator><![CDATA[Bari, Prashant]]></dc:creator>
<dc:creator><![CDATA[Tapas, Poornima]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[artificial intelligence]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[SME]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[e-commerce]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[technology adoption]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[digital transformation]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[sztuczna inteligencja]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[wdrażanie technologii]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[transformacja cyfrowa]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[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.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[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.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[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.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[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.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Faculty of Economics and Management Press]]></dc:publisher>
<dc:contributor><![CDATA[Stankiewicz, Janina - red. nacz.]]></dc:contributor>
<dc:contributor><![CDATA[Preston, Peter- red. jęz.]]></dc:contributor>
<dc:contributor><![CDATA[Zmyślony, Roman - red. statyst.]]></dc:contributor>
<dc:contributor><![CDATA[Skalik, Jan - red.]]></dc:contributor>
<dc:contributor><![CDATA[Moczulska, Marta - red.]]></dc:contributor>
<dc:contributor><![CDATA[Adamczyk, Janusz- red.]]></dc:contributor>
<dc:date><![CDATA[2026]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:format xml:lang="pl"><![CDATA[application/pdf]]></dc:format>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/Content/98539/32_bari_ai-adoption-in-small-and-.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/dlibra/publication/110231/edition/98539/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:98539]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[Management, vol. 30, no 1 (2026)]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:110231]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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