Sociotechnical and institutional aspects of the algorithmic decision-making process

The objective of this study is the impact of algorithmic approaches and tools on the financial decision–making process, with a special focus on its revolutionary transformation.

Research methods: integration of machine learning algorithms and data analysis methods

The results of the study are the integration of machine learning algorithms and data analysis methods into financial decision–making processes, emphasizing their advantages in terms of efficiency, accuracy and adaptability to changing market conditions.

The main conclusions of the study are the disclosure of the importance of algorithmic approaches for the formation of new financial management practices corresponding to the transition to sustainable development, and attention is also drawn to the legitimization and institutionalization of algorithmic financial solutions and systems.