The article discusses the use of Internet of Things (hereinafter as IoT) solutions in the social and business environment to support managerial decision-making in Smart businesses. The paper key objective is to assess the rate of increasing technological advancement of the IoT which already affects us all, so it is not possible to talk about the IoT as a matter of the future. Currently, modern technologies provide specific level of digitization of business processes. Due to the penetration of information and communication technologies (hereinafter as ICT) in all areas of social life and business processes, it is possible to implement decisions on product production based on customer needs and requirements. This trend is mainly due to technological advances in ICT and the Internet. Thanks to the internet and the phenomenon called Internet of Things, it is possible to achieve higher profits and improve the quality of life in society. The manuscript main findings can be summarized through a statement that all the businesses try to implement the concept of IoT in their processes, and thus they become smart businesses. Thanks to IoT, businesses can quickly process data and distribute the results to responsible people for decision-making in the enterprise.
The aim of the article is to present the logistic models of world cities, their benefits and limitations, which serve as best practices for others, which are based on a secondary analysis of case studies. The studies were selected on the basis of geographical location, number of transport projects, implementation models for urban logistics, and determining the effects of implementation. In addition to the secondary analysis, the findings of consultants, methods of comparing case studies, summarizing the findings in the discussion, or deductions in drawing a conclusion were also used. The output of the article is a recommended implementation of logistics model for Smart Cities according to world experts, which can be implemented in general for any city, including specific differences for the selected location. The article describes the positive impact of technology in mobility not only for citizens but also for business managers and the city as a whole. The implications of the model, its testing in practice and the observation of implementation benefits and limitations will form a part of further research activities in the future.