Kaizen Implementation Method of “green” Project Management in the Organization Based on Learning Models and Artificial Intelligence
Year: 2025
Type: article
Abstract: The problem. The current stage of development of the project and program management industry requires the development of new approaches to respond to the serious challenges facing the industry. One of these challenges is the destruction of the ecosystem due to human activity and resource depletion. In such circumstances, the scientific direction of ensuring the environmental compatibility, inexhaustibility, and sustainability of project-oriented enterprises is of particular relevance. The mechanism for such provision can be “green” project management, which is proposed by the authors as a concept and individual artifacts. The aim of developing the concept of “green” project management is to develop appropriate principles, models, and methods that would ensure the possibility of implementing green transformation projects for project-oriented enterprises in their transition to green entrepreneurship. The purpose of this study is to develop principles and models of green project management, as well as to develop a kaizen method for implementing green project management in an organization based on learning models and artificial intelligence. Methods. This study used general scientific methods of analysis and synthesis, systems theory and a systems approach for the decomposition of the overall task into subtasks, classification theory to supplement the project classification model, life cycle theory, process management and project management to develop a life cycle model of the proposed method, and the SWOT analysis method for the general characterization of the research conducted. Results. An analysis of scientific research in the field of “green” entrepreneurship and lean project management, in particular Lean production and Lean project management, is carried out. The principles of kaizen-oriented “green” project management are proposed. In the further development of models for classifying project management methods, taking into account the proposed field of research, additional features of the classification of such methods and varieties of methods within them are proposed. In the further development of the project management thesaurus, definitions of the terms “green” project management”, “kaizen-oriented models and methods of “green” project management”, “green transformation projects” are proposed. For the first time, a kaizen method for implementing “green” project management in an organization based on learning models and artificial intelligence is proposed, and a SWOT analysis of the proposed approach is conducted. Conclusions. The task of survival of both project-oriented organizations and the ecosystem as a whole must be ensured by a conscious movement in this direction. The way to fulfill such a task is the transition of organizations to “green” entrepreneurship and the management of projects of such a transition using the principles, models and methods of “green” project management. This study proposes such an approach and conducts its SWOT analysis, based on the results of which it is possible to conclude about the prospects of further developments in the direction of “green” project management and the feasibility of their practical implementation. Vectors of further research in the chosen direction have been formulated: further development of models and methods of “green” project management, development of models for implementing and adapting (tailoring) models and methods of “green” project management into the activities of project-oriented and project-managed organizations, development of models for training personnel in models and methods of “green” project management, development of neural network models to ensure increased efficiency of involving artificial intelligence in solving the problems of projects and programs of “green” transformation.
Authors: O. V. Verenych, S. A. Dvorskyi
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $16
OpenAlex ID: W4411705287