Artificial intelligence (AI) is increasingly transforming purchase intentions and consumer behavior, yet a comprehensive review of its technological ecosystem remains absent. This study aims to review the literature on the role of AI in shaping purchase intentions and behavior. Documents were sourced from the Scopus database, from 2004 to May 2025, and filtered using PRISMA guidelines. A mixed-method approach, combining qualitative content analysis and quantitative bibliometric techniques, uncovered novel insights into the field. Findings highlight research performance, including growth trajectories, key contributing authors, and influential documents. An in-depth analysis identified six main theme, methods, and data types employed. The study reveals significant research gaps, particularly in methodology, data, ethical AI applications and cross-cultural perspectives, and proposes a future research agenda to address these. This work offers valuable insights into the field’s evolution, current trends, and future directions, contributing to both academic research and practical applications.

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How Artificial Intelligence is Shaping Purchase Intentions and Behavior: A Literature Review, Research Themes, and Future Research Agenda

  • Truong Thi Hue,
  • Nguyen Thanh Phat

摘要

Artificial intelligence (AI) is increasingly transforming purchase intentions and consumer behavior, yet a comprehensive review of its technological ecosystem remains absent. This study aims to review the literature on the role of AI in shaping purchase intentions and behavior. Documents were sourced from the Scopus database, from 2004 to May 2025, and filtered using PRISMA guidelines. A mixed-method approach, combining qualitative content analysis and quantitative bibliometric techniques, uncovered novel insights into the field. Findings highlight research performance, including growth trajectories, key contributing authors, and influential documents. An in-depth analysis identified six main theme, methods, and data types employed. The study reveals significant research gaps, particularly in methodology, data, ethical AI applications and cross-cultural perspectives, and proposes a future research agenda to address these. This work offers valuable insights into the field’s evolution, current trends, and future directions, contributing to both academic research and practical applications.