Employees’ Types of Intelligence Assessment Method in Accordance with the Elements of the Five-Factor Model Considering Life Cycle Stages

Abstract

Operational conditions of enterprises in the VUCA environment (Volatility, Uncertainty, Complexity and Ambiguity) are characterised by drastic changes in the socio-economic sphere, instability and high level of stress. An increasing number of scientific studies confirm the significant influence of socio-psychological factors on the productivity of an employee, so the task of their effective evaluation should be performed by the management of enterprises. The purpose of the article is to develop tools for evaluating the system of social and psychological indicators, based on the multiplicity of manifestation forms of employee's intelligence. The article presents the author's method of assessing the types of intelligence of employees according to the elements of the five-factor model, taking into account the stages of their life cycle. The proposed method consists of three consecutive stages: reconciliation of the results of the assessment methods application with each element of the five-factor model of the employee's intelligence using the wall method; establishment of connection between the stages of the life cycle, the amount of activity-productivity and the obtained results of elemental evaluation of types of intelligence, determining the reliability of the obtained research results by checking retested reliability and internal consistency (Cronbach's alpha coefficient). The article validates the choice of specific methods of assessing each type of employee intelligence based on the elements of the five-factor model. Application of the author's method was carried out at project departments of seven enterprises in the construction industry. The author's evaluation method was developed and tested for the purpose of further research in the influence of intelligence types of the five-factor model on the productivity of employees, taking into account the stages of their life cycle