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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
 <dc:title xml:lang="en">ARTIFICIAL INTELLIGENCE IN MARKETING AND CONSUMER RELATIONSHIPS: PERSONALIZATION, CUSTOMER EXPERIENCE AND LOYALTY IN AN INTEGRATIVE REVIEW</dc:title>
 <dc:creator>Cristina Moreira, Bruna</dc:creator>
 <dc:creator>Cruz Viana, Stephani</dc:creator>
 <dc:creator>Sayuri Nakayama, Giovanna</dc:creator>
 <dc:creator>Henrique Vaz Tossini, Raffael</dc:creator>
 <dc:creator>Freitas, Prof. Me. Eder</dc:creator>
 <dc:subject xml:lang="en">Artificial intelligence</dc:subject>
 <dc:subject xml:lang="en">Digital marketing</dc:subject>
 <dc:subject xml:lang="en">Personalization</dc:subject>
 <dc:subject xml:lang="en">Customer experience</dc:subject>
 <dc:subject xml:lang="en">Loyalty</dc:subject>
 <dc:description xml:lang="en">Introduction: artificial intelligence (AI) is often presented as a path to personalize relationships and build customer loyalty, yet the chain linking technology, personalization, experience and loyalty is rarely examined link by link. Objective: to analyze, in the scientific literature, the relationships among AI in marketing, personalization, customer experience and loyalty. Methods: qualitative, exploratory integrative review, with searches in Google Scholar, SciELO and the CAPES Portal and complementary reference literature. Results: AI expands data analysis, segmentation, recommendation and service, and personalization can make experience more convenient and relevant; moving to loyalty, however, depends on privacy, perceived value and trust, and direct evidence linking AI personalization to loyalty is scarce. Conclusion: the article proposes a three-gate conceptual scheme and four testable propositions.</dc:description>
 <dc:publisher>Oxton Education</dc:publisher>
 <dc:date>2026-11-10</dc:date>
 <dc:type>info:eu-repo/semantics/article</dc:type>
 <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
 <dc:type xml:lang="en">Review article</dc:type>
 <dc:identifier>https://oriregistry.org/10001/2026.0008</dc:identifier>
 <dc:source>Oxton Science Journal; v. 2 n. 1 (2026); 1-10</dc:source>
 <dc:source>3086-0881</dc:source>
 <dc:language>en</dc:language>
 <dc:relation>https://oxtonscience.com/article/8/</dc:relation>
 <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
 <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
</oai_dc:dc>
