Integrated Methodology for the Assessment of the Efficiency of a Machine Building Enterprise Subdivisions Integration in the Field of Human Resources Management

The article outlines and describes the methodology which provides the calculation of a certain result by applying the approach based on determining direct and indirect profit gained from twodirect ional integration of a machine building enterprise subdivisions. In order to measure the result it is of foremost importance to identify the profits and define the efficiency criteria of the integrated structure formation considering all the aspects of its occurrence. It is necessary to carry out a generalized assessment of the efficiency of subdivision consolidation by selecting the indicators of a machine building enterprise activity efficiency that are important from the perspective of the members of a crossfunctional team. In orde r to do that the potential participants will be offered to carry out the following tasks: to make a list of officials who would be the potential members of a crossfunctiona l team involved into the assessment of the integration efficiency in the field of human resources management; to define the most complete possible list of indicators showing the improvements in the human resources management system; to select the measurement scale for defining the significance of indicators based on the fivepoint grading scale in which "5" denotes the highest rank of the significance of an indicator while "1" denotes the lowest rank of the significance of an indicator; to validate the provisional list of indicators for the assessment of the integration efficiency in the field of human resources management at a machine building enterprise. The analysis of the indicators of direct and indirect profits gained from twodirectional integr ation of subdivisions in the field of human resources management provides the opportunity to construct an arithmetic model for the assessment of a universal indicator of a machine building enterprise operating efficiency. This model consolidates heterogeneous indicators into a single universal indicator.