Achieving Operational Excellence in the Age of AI-Enabled Technologies: A Global Perspective
DOI:
https://doi.org/10.53983/ijmds.v14n9.010Keywords:
Artificial Intelligence, operational excellence, predictive analytics, automationAbstract
Artificial Intelligence (AI) has emerged as a catalyst for achieving operational excellence in the twenty-first century. This study examines the impact of AI-enabled technologies on strategy execution, decision-making, and process efficiency across various global industries. Using an extensive literature review methodology, peer-reviewed studies from 2015 to 2024 were analyzed to identify the mechanisms through which AI contributes to performance improvement and sustainable competitiveness. The findings reveal that AI reinforces the seven pillars of operational excellence—strategy, metrics, culture, processes, methodology, project management, and tools—by embedding predictive analytics, automation, and real-time learning throughout the enterprise. Companies such as Toyota, Amazon, Siemens, and IBM demonstrate that when AI is aligned with human expertise and ethical governance, it enhances quality, speed, and innovation simultaneously. However, barriers such as data privacy, algorithmic bias, integration complexity, and workforce skill gaps continue to constrain widespread adoption. The paper argues that achieving operational excellence in the age of AI requires not only investment in digital infrastructure but also the cultivation of a data-driven culture, transparent leadership, and adaptive organizational design. The synthesis contributes to both theory and practice by presenting a comprehensive model that links AI capabilities to operational performance outcomes. Future research should empirically examine sector-specific success factors and develop quantitative frameworks to assess the long-term return on investment in AI-driven transformation initiatives. Artificial intelligence technologies have enabled the organizations.
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