Strategic Integration of AI for Data ‑ Driven Decisions and Strategic Integration of AI for Data Driven Decisions and Automation in Operations Management Automation in Operations Management
This study develops an evidence-informed framework for the strategic integration of AI through a PRISMA-guided systematic literature review and design science artifact construction and offers a rigorous and practical blueprint for scalable and trustworthy AI-enabled operations.
This research demonstrates that when designed with ergonomics, human values, and socio‑technical principles at the center, agentic AI become powerful enablers of human‑centric, resilient, and adaptive enterprises.
Elizabeth Koumpan, Laurentiu Gabriel Ghergu, Łukasz Strack et al.· AHFE International· 0 citations
This study provides a systematic review of the academic sources to explore the role of the combination of AI, automation, and data-driven strategies in supporting the metamorphosis of conventional businesses and enhancing their operational efficiency, organizational agility, and long-term competitive advantage.
Gurpreet Kaur· The American Journal of Mana...· 0 citations
An Autonomous Decision Assurance Layer (ADAL) is proposed for AI-driven enterprise analytics environments that bridges data governance, multi-agent AI, human-in-the-loop oversight, responsible AI controls, and executive decision intelligence.
Choudhry Bilal Mazhar· International Journal for Re...· 0 citations
A Data-Driven Operations Synchronization Stack is proposed that links operational data capture, semantic and IT/OT interoperability, analytics-supported decision-making, closed-loop synchronization and operational or financial value capture in high-throughput manufacturing contexts.
A. Y. I. ElGabroni, Paulo Peças· Systems· 0 citations
It is argued that AI product management is a distinct professional discipline requiring its own framework, methods, and practices, and organizations that operationalize this framework gain systematic advantages in adoption, user trust, decision quality, and sustainable AI value realization.
Akhil Kumar Kandakatla· International journal of com...· 0 citations
Three contributions derived from an eighteen-month production deployment connecting autonomous agents to fourteen enterprise systems across 270 globally distributed data centers are reported, providing enterprise architects with a validated governance framework for production MCP deployment.
Satish Chandra, Guruvelli· International Journal of Com...· 0 citations
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