Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.1

Purpose: Digital transformation is conditioning the implementation of Intelligent Management in the enterprise and the collaborative system (supply chain & networks). The aim is to answer the following questions: What is the interdependence of using digital maturity models and Intelligent Management? Is a company's level of digital maturity regarding cooperation in the supply chain related to its comprehensive digital transformation? Need for the study: Digital transformation, the implementation of artificial intelligence technology, and intelligent management are phenomena that require fundamental modifications to the current functioning of enterprises, chains, and supply networks. Methodology: A literature review of the link between research streams on digital maturity models and Intelligent Management. The quantitative research used a two-stage research procedure. The Digital Maturity Model in Industry 4.0 was used as the theoretical basis. The research of 150 cluster enterprises (89 were chosen for in-depth research). In the second stage, the relative taxonomy method was applied. Findings: A conceptual framework for the interdependence of the Digital Maturity Model and Intelligent Management has been identified. Regarding quantitative research, the issues raised indicate the high complexity of the processes involved in manufacturing companies during digital transformation. It can be assumed that companies that achieve better results in the digital transformation of significant areas also achieve better results in digitizing integration with the environment, although this relation is not crucial. Practical Implications: The survey results can be used to develop a reference decision-making model for digitizing companies, which will put the application of Intelligent Management into perspective.