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Tech-Driven Transformation: Unravelling the Role of Artificial Intelligence in Shaping Strategic Decision-Making.

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Title: Tech-Driven Transformation: Unravelling the Role of Artificial Intelligence in Shaping Strategic Decision-Making.
Authors: Chaturvedi, Anurag (AUTHOR), Yadav, Neetu (AUTHOR), Dasgupta, Meeta (AUTHOR)
Source: International Journal of Human-Computer Interaction. Oct2025, Vol. 41 Issue 19, p12305-12324. 20p.
Subjects: Artificial intelligence, Strategic planning, Group decision making, Cognitive bias, Ethical problems, Confidence, Statistical decision making
Abstract: This study explores the evolving role of artificial intelligence in strategic decision-making through a review of 64 peer-reviewed articles, utilizing thematic cluster identification, content analysis, and bibliometric techniques. The review identifies three main themes: AI-human synergy in decision-making, adaptability, and AI's involvement in strategy formulation, alongside its potential drawbacks. The findings highlight AI's transformative impact on human judgment and decision-making, stressing human-AI collaboration's importance in reducing cognitive biases like anchoring and overconfidence. The study emphasizes critical factors, including human cognition, trust, and managerial vulnerability, while recognizing the role of big data and analytics in enabling data-driven strategies. The intellectual progression of the field reveals a shift from technical AI explorations to integrated frameworks that focus on trust, transparency, and leadership for fostering collaboration. Critical gaps include aligning AI with organizational goals, sector-specific strategies, and ethical considerations. Future research should explore managerial challenges, collaboration models, and policy implications. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Tech-Driven Transformation: Unravelling the Role of Artificial Intelligence in Shaping Strategic Decision-Making.
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  Data: <searchLink fieldCode="AR" term="%22Chaturvedi%2C+Anurag%22">Chaturvedi, Anurag</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yadav%2C+Neetu%22">Yadav, Neetu</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dasgupta%2C+Meeta%22">Dasgupta, Meeta</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Oct2025, Vol. 41 Issue 19, p12305-12324. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Strategic+planning%22">Strategic planning</searchLink><br /><searchLink fieldCode="DE" term="%22Group+decision+making%22">Group decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+bias%22">Cognitive bias</searchLink><br /><searchLink fieldCode="DE" term="%22Ethical+problems%22">Ethical problems</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence%22">Confidence</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+decision+making%22">Statistical decision making</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study explores the evolving role of artificial intelligence in strategic decision-making through a review of 64 peer-reviewed articles, utilizing thematic cluster identification, content analysis, and bibliometric techniques. The review identifies three main themes: AI-human synergy in decision-making, adaptability, and AI's involvement in strategy formulation, alongside its potential drawbacks. The findings highlight AI's transformative impact on human judgment and decision-making, stressing human-AI collaboration's importance in reducing cognitive biases like anchoring and overconfidence. The study emphasizes critical factors, including human cognition, trust, and managerial vulnerability, while recognizing the role of big data and analytics in enabling data-driven strategies. The intellectual progression of the field reveals a shift from technical AI explorations to integrated frameworks that focus on trust, transparency, and leadership for fostering collaboration. Critical gaps include aligning AI with organizational goals, sector-specific strategies, and ethical considerations. Future research should explore managerial challenges, collaboration models, and policy implications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/10447318.2025.2456534
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      – Code: eng
        Text: English
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        StartPage: 12305
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      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Strategic planning
        Type: general
      – SubjectFull: Group decision making
        Type: general
      – SubjectFull: Cognitive bias
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      – SubjectFull: Ethical problems
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      – SubjectFull: Confidence
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      – SubjectFull: Statistical decision making
        Type: general
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      – TitleFull: Tech-Driven Transformation: Unravelling the Role of Artificial Intelligence in Shaping Strategic Decision-Making.
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              M: 10
              Text: Oct2025
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