The Internet of Things (IoT) as a Big Data Collection Technology for Interactive Decision-Making

The research substantiates the advantages and develops scientific and practical recommendations for using the Internet of Things (IoT) as a technology for collecting big data for interactive managerial decision-making by today’s enterprises. Using the top 30 countries in management automation in 2023 as an example, the authors employed a regression analysis method to model the impact of IoT and big data utilization on the target outcomes of interactive managerial decision-making in contemporary business management. As a result, the model revealing the influence of IoT and big data usage on the target outcomes of interactive managerial decision-making uncovered previously unknown causal relationships in the automation of contemporary business management. The model identified advantages such as increased export activity of enterprises, optimized logistics, enhanced innovation activity, and accelerated and simplified corporate reporting to government regulators. The demonstrated perspective of maximizing the benefits of interactive managerial decision-making in Russia holds practical significance because it will enhance the accuracy and reliability of planning, forecasting, and state and corporate management of the automation processes in Russian business management. The authors developed a technology for collecting big data using IoT. The managerial significance of the developed technology is confirmed by the following advantages for interactive decision-making: acceleration of big data collection and improvement of its objectivity, greater systematization of big data and more precise causal relationships among its elements, and increased completeness and reliability of big data due to a broader spectrum of its sources. © 2025 Elsevier B.V., All rights reserved.