Abstract

Objective – The objective of the research is to synthesize technical insights from computer science with managerial perspectives from business and social studies, thereby offering a holistic lens for both scholars and practitioners.
Methodology – The study employs a systematic literature review of peer‑reviewed articles, industry reports, and case studies published between 2015 and 2025, following PRISMA guidelines to ensure transparency and rigor.
Findings – Findings reveal that AI enhances operational efficiency, supports real‑time decision‑making, and strengthens customer engagement, but simultaneously raises challenges of latency in edge computing, ethical concerns in data use, and regulatory compliance across jurisdictions. The framework highlights feedback loops where
successful adoption generates new data that further refines AI systems, while unresolved risks can hinder organizational performance.
Novelty – The study contributes an interdisciplinary model that clarifies AI’s role in reshaping e‑business and sets an agenda for future empirical validation.