FEATURES STUDY OF THE PHENOMENON OF LEADERSHIP IN PUBLIC ADMINISTRATION (METHODOLOGICAL ASPECT)

Abstract

The purpose of the paper is to reveal the peculiarities of research (methodological aspect) of the phenomenon of leadership in public administration. The phenomenon of leadership is extremely multifaceted in its manifestations and functions, depends on historical epochs, types of political systems, specific situation, characteristics of leaders and their constituents, and other factors. Today, the methodology for researching the phenomenon of leadership in public administration of Ukraine remains relevant, it will allow formulating faithful (verified) proposals for their practical application. The paper focused on the following methodological aspects to highlight the features of research of the leadership in public administration of Ukraine: the use of scientific approaches, the latest developments of domestic and foreign scientists, the application of the phenomenological approach, special research methods, empirical methods, etc. The results of the study confirmed: the difference in the approaches of domestic and foreign scientists to the study of leadership in public administration; lack of critical discrepancy between the theoretical approaches to the leadership of the North American Science School and the practical approaches to the leadership in public administration in the USA, Canada; the fallacy of the blind application (without proper empirical research) of foreign scientists' studies to develop proposals for the leadership in public administration in Ukraine; failure to rely solely on the analysis and generalization of the theoretical approaches of scientists in the study of leadership in public administration; the need to test leadership theories in public administration of Ukraine through empirical research; the need for broader use of the phenomenological approach to identify the attributes of effective leaders in public administration in Ukraine, as well as specific research methods: interviewing, testing, non-standard interviewing, peer review, integrated data processing applications, etc.