Year: 2025
Type: article
Abstract: In the field of management, generative AI has transformed into a game-changing instrument that opens up extra open doors for additional creating decision-making methods. The fundamental test challenging contemporary chiefs is the creating unconventionality and measure of data, which constantly beats human intellectual abilities and results in under ideal decisions. The justification for this investigation is to look at the manner by which generative AI can be really incorporated into management strategies to work on the exactness, speed, and crucial readiness of decision-making. Using a mixed methods approach, the survey solidifies quantitative evaluation of AI-driven decision achieves a couple of businesses with emotional relevant examinations. Critical methods incorporate investigations, discussions with business executives, and data assessments between AI-created and commonly decided. The disclosures show that the usage of generative AI colossally chips away at the idea of decisions, particularly in erratic conditions like bet management, resource planning, and market forecasting. It moreover helps the decision-making cycle and redesigns flexibility, considering moving corporate scenes. Further headway of AI systems and genuine designs is imperative in light of nonstop issues with data security, inclination, and human-AI facilitated exertion. The survey shows up at the goal that generative AI has gigantic potential for management decision-making; its execution ought to circumspectly counterbalance AI with human judgment and moral principles to restrict bets and advance benefits. These results recommend that a mutt procedure that unites AI's computational cutoff with human judgment makes the best results, which is fundamental data for firms' importance to complete AI in management.
Author: Bhalchandra Bapat
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412360972