IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021ispecial1p677-688.html
   My bibliography  Save this article

Self-Assessment of Digital Competenciees among Employees and Non-Working People of Generation Z in the Economy 4.0

Author

Listed:
  • Teresa Kupczyk

Abstract

Purpose: The objective of this article is to identify and analyse self-assessment of digital competencies among employees, soldiers and Generation Z people who are not in employment, as well as its correlations with gender, generation, personality, place of residence, professional status, interest in professional military service, motivation, feeling of satisfaction of their expectations concerning employment/military service, as well as capacity to work in Economy 4.0. Design/Methodology/Approach: The sample was based on random selection of 23 out of 28 powiats and questionnaires handed out during the obligatory military entrance processing by Military Draft Offices. Non-parametric tests were used for data analysis. Correlations between the variables were tested by chi-square test for variables on nominal scale. For analysing correlations between the numerical and categorical variables, U-Mann-Whitney test (for two groups) or Kruskal-Wallis test (for more than two groups) were applied. In the case of two numerical variables, Spearman's linear correlation coefficient was applied. Furthermore, in the case of more than two groups, the author applied Jonckheere-Terpstra trend test and post hoc analysis with Dunn test with Bonferroni's correction for tied ranks. Findings: Empirical research indicates that the level of the studied digital competencies is not high in respondents' self-assessment. Respondents of Generation Y declared the highest self-assessment of the competencies. The level of digital competencies varied depending on the place of residence and it was the lowest among respondents living in countryside. It turned out that soldiers have significantly higher digital competencies than civilians. No significant differences in digital competencies were found with respect to gender and position held. However, a series of significant correlations were found between digital competencies and other variables. Practical Implications: Practical business implications concern mainly necessity of broader development of digital competencies in organisations, and in Economy 4.0. Originality/value: The article describes a diagnosed competency gap in the area of digital competences in employees, soldiers and non-working representatives of generation Z. It has also been established that the increase in their digital competences increases their motivation to work, their willingness to operate their own business, leads to a higher sense of fulfilment of expectations concerning employment/military service, higher interest in professional military service and higher capacity to work in Economy 4.0.

Suggested Citation

  • Teresa Kupczyk, 2021. "Self-Assessment of Digital Competenciees among Employees and Non-Working People of Generation Z in the Economy 4.0," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 677-688.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:special1:p:677-688
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2067/download
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Teresa Kupczyk & Marta Kusterka-Jefmanska & Elwira Gross-Golacka, 2021. "COVID-19 Pandemic as an Agent of Change in the Use of Job Recruitment Information Sources by the Generation Born Since 2000," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 785-799.
    2. Joanna Holub-Iwan & Teresa Kupczyk, 2021. "Analysis of Managers' Cognitive Models (ORAC Classification) and its Impact on the Effectiveness of Implementation of Management Decision Support Systems: The Case of the Healthcare Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 1179-1195.

    More about this item

    Keywords

    Digital competences; Economy 4.0; employees; students; soldiers.;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ers:journl:v:xxiv:y:2021:i:special1:p:677-688. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.