IDENTIFICATION OF THE MOST IMPORTANT EUROPEAN PRODUCTIVITY FACTORS THROUGH THE DIMENSION REDUCTION Cover Image

IDENTIFICATION OF THE MOST IMPORTANT EUROPEAN PRODUCTIVITY FACTORS THROUGH THE DIMENSION REDUCTION
IDENTIFICATION OF THE MOST IMPORTANT EUROPEAN PRODUCTIVITY FACTORS THROUGH THE DIMENSION REDUCTION

Author(s): Kornelia Lazanyi, Pal Feher-Polgar, Imre Vida
Subject(s): Business Economy / Management, Micro-Economics, Organizational Psychology, Human Resources in Economy
Published by: Žilinska univerzita v Žiline, Fakulta prevádzky a ekonomiky dopravy a spojov, Katedra ekonomiky
Keywords: productivity; factor analysis; dimension reduction;

Summary/Abstract: One of the basic factors that influence the production process and transfer its performance in it is the workforce. Despite the current era of innovation and automation, the human factor is irreplaceable. However, it is important to know what workers' productivity is and which factors affect work performance. Statistics show that people produce up to 80 per cent of their work in 20% of their daily working time. Working productivity is one of the most important factors in the company's efficiency and at the same time a decisive factor in its competitiveness. In the research paper, we focused on productivity and the factors that affect it. Firstly, we identified summarized factors, and then we processed the database in the form of a questionnaire survey, from which a total of 317 responses were obtained from the post-Soviet European countries, especially from the companies in the Czech Republic. Subsequently, from the package of these factors, we decided to choose those that are key in productivity. In order to process the key factors, dimension reduction was used in the SPSS program, which summarizes the data so that the relationships and patterns can be more easily interpreted and at the same time is based on the assumption of relationships between variables.

  • Issue Year: 14/2020
  • Issue No: 1
  • Page Range: 77-86
  • Page Count: 10
  • Language: English