AI in Marketing Practices of Greek Micro-Enterprises: An Integrative Review
Tatiana Harkiolakis, Baker Ahmad Alserhan, Daphne Halkias, Fadi AlsarhanAI tools have sharply reduced the cost of producing marketing content, but reduced cost does not by itself produce marketing performance. This review asks how micro-enterprises in Greece, which make up 94.7% of the country’s non-agricultural firms, adopt AI in marketing, and what determines whether adoption succeeds. Following established integrative review protocols, it synthesizes 74 sources under a single evidence-type classification: 41 peer-reviewed empirical studies, 8 peer-reviewed reviews, 11 conceptual contributions, 6 computational benchmarks, 4 official statistical sources, and 4 policy or legal documents. Three findings emerge. First, AI tools reduce marketing costs but require absorptive capacity to deliver performance; access to tools and possession of capability have become decoupled. Second, the constraints binding Greek micro-firms are environmental and institutional rather than technological, and include grant eligibility rules that exclude the smallest firms and a language resource gap whose cost implications remain unquantified. Third, the disclosure obligations of the EU AI Act interact with a documented authenticity penalty that falls hardest on firms with no brand equity to absorb it. This review develops a contextualized adoption model for Greek micro-enterprises, organized as four layers: production, capability, environment, and legitimacy. Because no existing study observes AI marketing adoption in this population directly, the model is presented as six testable propositions rather than as a validated account, and a structured research agenda is set out.