The purpose of this study is to thoroughly identify the substantive characteristics, determine the role and outline the prospects for further implementation of the interdisciplinary function of economic analysis in the context of modern socio-economic transformation. This transformation is multi-vector, dynamic and covers a wide range of changes - from globalization challenges, digitalization, process automation and the introduction of artificial intelligence to the aggravation of environmental, demographic, social and political imbalances. In such conditions, there is a need for a critical rethinking of traditional approaches to economic analysis and the expansion of its methodological arsenal by integrating knowledge from related scientific fields. Interdisciplinarity in this context is considered as a tool for conceptual renewal of analytical thinking, which allows overcoming the reductionism of classical economic models and better reflecting the complex, adaptive, dynamic nature of the modern economy. The methodological basis of the study is a combination of complementary approaches: systemic - to identify internal and external relationships of economic processes; structural-functional - to identify interdependencies between elements of socio-economic systems; comparative - to analyze the effectiveness of interdisciplinary practices in various industries; praxeological - to form a toolkit for the practical implementation of analytical solutions. The results of the study demonstrate that the effectiveness of economic analysis significantly increases due to its integration with sociology, psychology, information technologies, ecology, and law. Such an approach ensures the ability of analysts to respond to complex challenges of the time, form sound management decisions, and promote the development of innovative strategies. The practical significance of the conclusions obtained lies in the possibility of implementing the recommendations formed in the processes of strategic planning, public administration, scientific forecasting, regional development, and training a new generation of analytical specialists.
Martyniuk et al. (Mon,) studied this question.