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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM26594
Volume:
7 |
11 |
Nov 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This literature review examines the transformation of established strategic management tools through artificial intelligence (AI) integration, focusing on nine fundamental methodologies: SWOT Analysis, BCG Matrix, Porter’s Five Forces, OKRs, Blue Ocean Strategy, Balanced Scorecard, Hoshin Kanri, Agile Strategies, and Digital Transformation. While these frameworks have proven their value over decades, the emergence of AI technologies presents unprecedented opportunities for enhancement. This review synthesizes current research on how AI capabilities—including machine learning, natural language processing, and predictive analytics—can augment these traditional frameworks to improve their effectiveness and adaptability in the modern business landscape. The analysis reveals several key themes: (1) AI’s potential to process vast amounts of data for more comprehensive environmental scanning in SWOT and Porter’s analyses, (2) the use of predictive modeling to dynamically update BCG Matrix classifications and Blue Ocean opportunities, (3) real-time monitoring and adjustment of OKRs and Balanced Scorecard metrics through AI-driven dashboards, and (4) the integration of AI decision support systems in Hoshin Kanri and Agile methodologies. The review also identifies critical gaps in current research, particularly regarding the ethical implications of AI-enhanced strategic decision-making and the need for human oversight in strategic planning processes, contributing to both academic literature and practical application by providing a structured framework for the understanding of how AI can enhance rather than replace traditional strategic tools while highlighting areas requiring further research and development. The findings suggest that successfully integrating AI into these frameworks requires a balanced approach that leverages technological capabilities while preserving the human-centric aspects of strategic decision-making.
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Publication Date
11/24/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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