{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T03:43:56Z","timestamp":1779248636615,"version":"3.51.4"},"reference-count":89,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The integration of artificial intelligence (AI) into marketing and sales has significantly reshaped the European digital economy, altering how companies engage with consumers and create online value. This research examines the impact of AI adoption on e-commerce performance across the 27 EU member states. Drawing on Eurostat data, it applies advanced statistical methods, including factor analysis, structural equation modeling (SEM), and cluster analysis, to examine the links among AI-powered business practices, digital engagement, and e-commerce outcomes. The results reveal a strong positive association between AI use in marketing and e-commerce sales, underscoring the mediating role of consumer digital behavior. Regional disparities are also evident: Northern and Western European economies lead in AI adoption and digital maturity, while Southern and Eastern nations show emerging potential for rapid growth. Overall, the study emphasizes that AI-driven marketing boosts e-commerce growth and digital competitiveness, aligning with the European Union\u2019s broader goals of fostering innovation and technological integration.<\/jats:p>","DOI":"10.3390\/systems14010106","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T08:36:33Z","timestamp":1768898193000},"page":"106","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Unraveling the Connection Between AI Adoption and E-Commerce Performance in the European Union: A Cross-Country Study"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9714-1333","authenticated-orcid":false,"given":"Claudiu George","family":"Bocean","sequence":"first","affiliation":[{"name":"Department of Management, Marketing and Business Administration, Faculty of Economics and Business Administration, University of Craiova, 13 AI Cuza Street, 200585 Craiova, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,19]]},"reference":[{"key":"ref_1","first-page":"663","article-title":"Artificial Intelligence-Enabled Personalization in Interactive Marketing: A Customer Journey Perspective","volume":"17","author":"Gao","year":"2023","journal-title":"J. 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