Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is increasingly shaping the fields of economics and management, influencing productivity, decision-making, and strategic planning. This study explores the evolution of AI in these domains, emphasizing its impact on economic growth, firm competitiveness, and managerial decision-making. By integrating literature from various perspectives, the research develops a theoretical framework that positions AI as a socio-economic disruptor necessitating adaptive management strategies. The study employs a mixed-methods approach, combining analysis of the previous literature related to qualitative interviews with AI experts and business leaders, quantitative data analysis, and case studies. Research observations focus on AI’s impact in increasing efficiency, maintaining balanced allocation of the resources, and also take care of the biases in various decisions making. But some challenges like biases of algorithms, research ethics, and general barriers exist. The present study is basically a review of previous research work which may help to support economic and management theories by optimizing decision making models and providing beneficial recommendations to improve the process of AI adoption. These in depth investigations have very important applications for business leaders, development of the workforce, makers of the policies in an AI-driven economy.
Authors: Kusum Lata, Bindiya Tater
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410129575