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International Journal of Management Science and Application
Published by Sultan Publisher
ISSN : -     EISSN : 29632056     DOI : https://doi.org/10.58291/ijmsa
Core Subject : Economy, Science,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance
The aim is to publish empirical research that advances management theory by testing, improving, or augmenting it. All empirical techniques, such as mixed methods, meta-analytical techniques, field, laboratory, and qualitative and quantitative techniques, are welcome. Research should provide significant theoretical and empirical advances, and articles should emphasize how to put these findings into practice. The International Journal of Management Science and Application (IJMSA) publishes manuscripts in a variety of business-related fields, including entrepreneurship, human resource management, leadership, operations management, marketing, and finance.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 61 Documents
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The AI Co-pilot: Navigating Market Turbulence and Charting a Course for Sustainable Advantage Dzreke, Simon Suwanzy
International Journal of Management Science and Application Vol. 4 No. 2 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i2.442

Abstract

This study addresses the gap in frameworks for effective human-AI collaboration in strategic decision-making during turbulent market conditions. Using a mixed-methods approach (longitudinal case studies in manufacturing, finance, and logistics; large-scale executive surveys; computational simulations), we empirically evaluate the "AI co-pilot" model, where AI augments human strategic cognition. Results show AI co-pilots improve market disruption prediction accuracy by 30-50% and reduce strategic response latency. However, these benefits critically depend on governance frameworks ensuring algorithmic accountability, dynamic trust calibration, and human agency preservation. Case studies (e.g., AI-enabled semiconductor shortage detection enabling proactive diversification) demonstrate value, while instances of algorithmic opacity highlight the necessity of human oversight. Maintaining competitive advantage requires interfaces ("algorithmic diplomacy"), balancing AI's computational power with human judgment, wisdom, and ethics. Organizations achieving this symbiosis gain superior resilience, transforming volatility into adaptive innovation opportunities.

Page 7 of 7 | Total Record : 61

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