Dimensions of employer attractiveness - a generational perspective
[ 1 ] Wydział Zarządzania i Dowodzenia, Akademia Sztuki Wojennej | [ P ] pracownik
2024
rozdział w monografii naukowej / referat
angielski
- employer attractiveness
- attractiveness dimensions
- generation X, Y, Z
EN The desire to implement, as well as evaluate the effectiveness of employer branding solutions, aimed at working out the desired image of organisation as an employer among employees as well as possible candidates, involves the need to identify the factors that determine the attractiveness of a given organisation as an employer in the market. Knowledge of these factors allows to understand HR indicators, better define strategic goals, or more easily identify potential areas of action, allowing to support the organisation in achieving its goals. Employer attractiveness dimensions relate to the needs and expectations of employees, who do not create a homogenic group – they represent different employees’ generations. People from generation X, Y and Z have different attitudes, values, and needs what determines the necessity of multigenerational management and relates to the need for a complete diagnosis of the target group of employees. The result of this approach is the ability to identity employer attractiveness dimensions, create Employer Value Proposition and obtain the title of employer of choice. Bearing in mind the importance of both issues – employer attractiveness dimensions and generational affiliation, the research sought not only to identify the dimensions of employer attractiveness, but also to present differences in the hierarchy of those dimensions in the opinion of the representatives of generation X, Y and Z. The article addresses the issue of employer attractiveness dimensions from the generational perspective. Achieving the purpose of the study would not have been possible without the empirical research which was carried 18 out in June 2022 using the CAWI technique on a sample of 384 Poles. The results of the survey were subjected to statistical analysis using the STATISTICA package.
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