Autonomous driving paper index

Artificial Intelligence and Its Influence on Strategic Management Decisions

2026-07-07 · European Economic Letters (EEL)

autonomous drivingplanning

One-line summary

For businesses in today's world, AI has become a game-changer, crucial to business strategy and decision-making, streamlining operations, and driving organizational success.

Engineering notes

Key topics: autonomous driving, planning. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

For businesses in today's world, AI has become a game-changer, crucial to business strategy and decision-making, streamlining operations, and driving organizational success. The paper also illustrates the use of Artificial Intelligence in strategic management decisions and discusses the applications of Artificial Intelligence in strategic management like Data Analysis, Forecasting, Risk Management, Resource Allocation, Competitive Intelligence and Strategic Planning. The approach used in this study is a qualitative review approach where the literature and information sources examined in relation to AI and strategic management are extensive, such as scholarly publications, industry reports and literature. It delves into the potential of AI technologies such as machine learning, NLP (natural language processing), predictive analytics, and intelligent decision-making systems to analyze extensive amounts of structured and unstructured data, detect new market trends, and support data-driven decision-making. The results demonstrate the value of AI to support managers' capabilities and skills, such as forecasting, business process optimization, real-time decision-making and innovation and competitive advantage. Furthermore, AI can assist organizations to make better decisions concerning their customers, optimize their supply chain, manage their finances, and plan human resources, all of which will help the company sustain in the long run. However, the study also reveals some potential hurdles to the implementation of AI, such as issues with data privacy, cybersecurity, algorithmic bias, ethical oversight, implementation expenses, workforce readiness, and the need for clear decision-making processes. The research highlights that AI can assist in human strategic thinking but it can't do it for them, and that strategic decisions should be taken not just by managers and moral judgement, but also by technological intelligence and contextual awareness. The companies that have implemented strategic management activities based on AI are more likely to adapt to the changes in the business and have competitive performance, the paper finds. Some recommendations are the improvement of AI skills, digital leadership, employee upskilling, and governance mechanisms to maximize the strategic use of AI while upholding ethical and responsible application in the organization. The findings of this study will be of great value to managers, researchers, policy makers and business leaders who want to gain insight into the changing dynamics between AI and strategic management in the digital economy.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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