The paper examines the impact of the Internet of Things (IoT) on change management and employee satisfaction in the business environment. IoT facilitates more efficient operations through data collection and exchange, but it also presents challenges in adapting employees to new technologies. In the analysis, in addition to a literature review, survey methods and statistical data processing are used to better understand the dynamics between technological innovations, organizational changes, and employee satisfaction. Change management is a key process in this dynamic, for which various theoretical models provide useful guidelines. Lewin's, Kotter's, and ADKAR models offer structures for successfully managing change, while Theory E and Theory O present different approaches to change leadership. Additionally, models such as McKinsey 7S, Leavitt's, Bridge's, and Kübler-Ross assist in analyzing and adapting organizational changes, and the PDCA cycle provides a framework for continuous improvement. The Internet of Things brings significant transformation through device connectivity and enables business optimization but also requires careful management to overcome potential employee resistance. Key factors for IoT adoption include trust in technology, adequate training, perceived benefits, control and autonomy, organizational culture, expectations, and adaptation of work processes. Recommendations for improving employee satisfaction encompass clear communication, training, privacy protection, active employee involvement in the change process, and continuous monitoring and adjustment.