Internet of things application in automated resource management systems

Abstract

The article summarizes scientific knowledge about the state and potential of the development of the Internet of Things (IoT) industry in Ukraine and analyzes already implemented initiatives to promote its spread in the areas of health care and urban management. The study aims to systematize and analyze the available scientific information about the opportunities and potential revealed by integrating the ERP system and the Internet of Things as a convergent management technology. Based on the research results, a model of combining Internet of Things technologies and resource management of companies in ERP systems is presented; the advantages provided by the integration of IoT and ERP systems are systematized; the problems associated with determining the economic efficiency of the integration of IoT and ERP systems are summarized based on the analysis of applied cases in the areas of health care and urban management. The research used methods of systematization, meta-analysis, and synthesis of research from the fields of information technologies, economics, management, and law. In addition, a case analysis was used to understand the practical aspects of the implementation of convergent technologies based on the combination of management and information technologies. Attention is focused on the fact that future directions of research are related to the expansion of technical capabilities for processing large volumes of IoT data from connected devices and applications to create integration between devices and control systems at enterprises; development of networks and protocols to eliminate performance gaps, provide valuable information on improving customer interaction, speed up customer problemsolving processes, and expand the capabilities of the IoT as a service management technology. Most cloud-based ERP applications with IoT elements have specific requirements for functionality and quality of service, including communication, computing, and data storage. Meeting these requirements can be challenging, especially regarding network performance, resulting in bottlenecks in real-time application performance.