IMPROVEMENT OF ECONOMIC EFFICIENCY OF THE ENTERPRISE BASED ON AUTOMATION OF MANAGEMENT OF MOTIVATION OF PERSONNEL

Autor: T. S. Cherkashyna, L. O. Ukrainska, O. S. Marchenko, N. I. Shyfrina
Rok vydání: 2019
Předmět:
Zdroj: Financial and credit activity problems of theory and practice. 3:196-205
ISSN: 2310-8770
2306-4994
DOI: 10.18371/fcaptp.v3i30.179533
Popis: In modern conditions of the functioning of economic activity, the economic efficiency of an enterprise directly depends on labor productivity and the quality of manufactured products, one of the key areas for improvement of which is the management of personnel motivation.The existing practice of managing staff motivation is implemented directly by the enterprise management or specialized HR departments. At the same time, there is currently no automation of this process that can strengthen the motivation factors used at the enterprise. Given the relevance of this problem, the aim of the study is to increase the economic efficiency of the enterprise by developing a way to automate the management of staff motivation. To achieve this goal, the article explores theoretical approaches to determining the factors that influence the motivation of staff. The most significant factors of motivation are established: financial and free time stimulation. The capabilities of existing software products for personnel management of the enterprise are analyzed and systematized. A universal method for automating the process of managing staff motivation has been developed and proposed, which involves: setting individual parameters for any type and scale of an enterprise or organization, as well as the active participation of employees in choosing a motivation factor using accrual and individual use of the main and additional bonus points. The practical application of the proposed automation method makes it possible to increase the economic efficiency of the enterprise by strengthening the used motivation factors in terms of increasing labor productivity and the quality of manufactured products.
Databáze: OpenAIRE