These proceedings present scientific papers produced within the BIMIOT project – Implementation Framework and Business Model of the Internet of Things in Smart Industry and Transport, carried out by the University of Žilina in 2022–2023 under the Operational Programme Integrated Infrastructure.

The project focused on the use of data and Internet of Things technologies in production and workforce management. Its aim was to identify the key factors entering the operational planning of production staff deployment and to analyse the data that represent these factors. Using operations research and econometric methods, the researchers then designed a decision-making model for assigning production employees to work positions. The research also explored ways of connecting to a company's infrastructure through sensors, actuators and integration interfaces of IoT devices. It further addressed cost optimisation through rented hardware infrastructure, cloud platforms and secure connection to on-premise corporate systems by means of edge computing.

The papers focus in particular on:

• artificial intelligence adoption in enterprises across sectors and in the SME segment,

• artificial intelligence in management, managerial decision-making and business process management,

• the Internet of Things and artificial intelligence in Industry 4.0 and their impact on economic efficiency and firms' financial performance,

• the use of artificial intelligence in finance and accounting, FinTech and consumer behaviour,

• artificial intelligence in human resource management, employee motivation and the work environment,

• smart cities, public transport and price formation in road freight transport,

• artificial intelligence in education, AI literacy and media education.