The research defines the prospects for optimizing decision-making in managing contemporary enterprises through business integration and cooperation using big data and AI. Based on the unique experience of Central Asia in 2023, the authors developed a regression model. The developed model explained the impact of automation in management on the implementation of business cooperation and integration processes in entrepreneurship. The fundamental significance of the obtained results lies in their contribution to the theory of using integration-cooperation mechanisms in crisis management by explaining previously unknown organizational aspects and causal relationships in applying these technologies in decision-making for business integration and cooperation. The author’s forecast for the development of business integration and cooperation processes through the expanded use of big data and AI in management in the Kyrgyz Republic is of practical importance because it can be implemented in the planning practices of these processes in the Kyrgyz Republic. The developed organizational approach to applying big data and AI in decision-making practices for business integration and cooperation is of managerial significance because it will optimize these decisions in entrepreneurship.

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Optimization of Decision-Making in Business Integration and Cooperation Using Big Data and AI

  • Kurmanbek I. Ismanaliev,
  • Kanatbek K. Dalbaev,
  • Gulzat T. Tashmurzaeva,
  • Maria A. Dzhenalieva

摘要

The research defines the prospects for optimizing decision-making in managing contemporary enterprises through business integration and cooperation using big data and AI. Based on the unique experience of Central Asia in 2023, the authors developed a regression model. The developed model explained the impact of automation in management on the implementation of business cooperation and integration processes in entrepreneurship. The fundamental significance of the obtained results lies in their contribution to the theory of using integration-cooperation mechanisms in crisis management by explaining previously unknown organizational aspects and causal relationships in applying these technologies in decision-making for business integration and cooperation. The author’s forecast for the development of business integration and cooperation processes through the expanded use of big data and AI in management in the Kyrgyz Republic is of practical importance because it can be implemented in the planning practices of these processes in the Kyrgyz Republic. The developed organizational approach to applying big data and AI in decision-making practices for business integration and cooperation is of managerial significance because it will optimize these decisions in entrepreneurship.