A Narrative Review of AI Integration in Marketing Management: Theoretical Foundations and Future Research Directions

Abstract

The rapid advancement of Artificial Intelligence (AI) has precipitated a fundamental paradigm shift in marketing management, transitioning the discipline from intuitive decision-making toward an autonomous, data-driven orientation. Despite the proliferation of AI tools, the scholarly landscape remains fragmented by inconsistent terminology, uneven sectoral evidence, and a significant lag between technological affordance and strategic policy. The purpose of this paper is to delineate the theoretical foundations of AI integration which ranging from Knowledge Management to agile marketing frameworks while identifying critical voids in current practice and policy. To achieve this, the study employs a narrative review methodology, identifying and synthesizing high-impact literature indexed in the Scopus database published between 2021 and 2025. Following a transparent screening process, the review categorizes the extant research into four pivotal themes: the transformation of CRM and marketing intelligence, strategic adoption factors, operational efficiencies through hyper-personalization, and the burgeoning requirement for ethical governance. The analysis reveals that while AI significantly enhances predictive accuracy and consumer engagement, its successful integration is predicated on a hybrid intelligence model that balances algorithmic autonomy with human creative oversight. This article contributes to marketing theory by reconfiguring Dynamic Capability and Knowledge Management frameworks to account for "algorithmic capabilities," while providing practitioners with an evidence-informed roadmap for responsible AI deployment. By identifying a critical "policy-practice gap," the review highlights that the future of marketing management lies in the ethical orchestration of human-machine synergies. Consequently, this work serves as both a theoretical anchor and a forward-looking guide for navigating the complexities of the AI-enabled marketing ecosystem in a volatile digital economy.