Background. The article presents the findings of the study on change process dynamics. It is assumed in the model that particular elements of organization help to form systems. These systems, like all others, are subject to certain regularities: they generate output signals based on the level and dynamics of input signals. Yet the system has static and dynamic characteristics i.e. the type of function transforming input into output is the most important feature of the system. Knowledge of the system’s characteristics and the course of input signals gives a possibility to try and determine the value of output signals. Knowledge of a specific system’s characteristics can enable not only the prediction of its behaviour but also the application of a regulatory system, so that the output parameters maintain certain properties established in advance, regardless of the state of inputs.
Research aims. The aim of the conducted research was to identify the dynamic parameters of objects which are subject to changes.
Method. Registering of the effects and reactions to the changes was performed for selected (single-person) work stations and groups of workers. It involved observation of the progress of normal organisation processes in a real socio-information-technical environment.
Key findings. As a result, an organization subsystem model was developed for the subsystem which is undergoing changes. Knowledge of the dynamic parameters may allow for better change processes' control and thus for higher efficiency. The Author proposes an application of a specific approach to realization of the process of changes implementation on the operational level of management, called DBMCI (Dynamic–Based Model of Changes Implementation).

Background. The article presents the findings of the study on change process dynamics. It is assumed in the model that particular elements of organization help to form systems. These systems, like all others, are subject to certain regularities: they generate output signals based on the level and dynamics of input signals. Yet the system has static and dynamic characteristics i.e. the type of function transforming input into output is the most important feature of the system. Knowledge of the system’s characteristics and the course of input signals gives a possibility to try and determine the value of output signals. Knowledge of a specific system’s characteristics can enable not only the prediction of its behaviour but also the application of a regulatory system, so that the output parameters maintain certain properties established in advance, regardless of the state of inputs.
Research aims. The aim of the conducted research was to identify the dynamic parameters of objects which are subject to changes.
Method. Registering of the effects and reactions to the changes was performed for selected (single-person) work stations and groups of workers. It involved observation of the progress of normal organisation processes in a real socio-information-technical environment.
Key findings. As a result, an organization subsystem model was developed for the subsystem which is undergoing changes. Knowledge of the dynamic parameters may allow for better change processes' control and thus for higher efficiency. The Author proposes an application of a specific approach to realization of the process of changes implementation on the operational level of management, called DBMCI (Dynamic–Based Model of Changes Implementation).