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Technology trends in strategic management in the AI era: Systematic literature review

Wael Alhyasat et al.

Human Systems Management2025https://doi.org/10.1177/01672533251322396article
ABDC C
Weight
0.53

What the paper says

Background This study explores the intersection of strategic management and artificial intelligence (AI) from 2014 to 2024. As AI technologies advance, their integration into strategic management becomes essential for sustaining competitive advantage. The research aims to understand how AI influences and reshapes strategic decision-making and competitive strategies. Objective The study aims to systematically examine how AI and strategic management converge. It seeks to identify key research trends, influential scholars, and major publications to clarify how AI is transforming strategic management and competitive dynamics. Methods We used a three-stage methodology: we used RStudio to analyze 326 scholarly articles, VOSviewer to perform citation and network analysis to identify key authors and research clusters, and Excel for data management and visualization to highlight emerging trends and findings. Results The study identifies three main research clusters: leveraging AI for competitive advantage, the impact of emerging technologies on strategic management, and the role of dynamic capabilities. It underscores AI’s growing importance in strategic foresight and the need for dynamic capabilities to adapt to technological changes. Implications The research offers a roadmap for academics and practitioners, highlighting crucial areas for future exploration and emphasizing the need to integrate AI into strategic management practices to navigate emerging trends and maintain competitive advantage.

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https://doi.org/https://doi.org/10.1177/01672533251322396

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@article{wael2025,
  title        = {{Technology trends in strategic management in the AI era: Systematic literature review}},
  author       = {Wael Alhyasat et al.},
  journal      = {Human Systems Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/01672533251322396},
}

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Technology trends in strategic management in the AI era: Systematic literature review

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.