IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxiiiy2020ispecial1p732-748.html
   My bibliography  Save this article

The Use of Binomial Models to Increase Digital Competence of Seniors in the City of Czestochowa

Author

Listed:
  • Katarzyna Olejniczak-Szuster
  • Michal Dziadkiewicz

Abstract

Purpose: The aim of the research conducted as part of the presented article is an attempt to determine the competence in the use of new technologies by the seniors of the city of Czestochowa, contributing to the improvement of their quality of life. Design/Methodology/Approach: The research task was carried out on the basis of the literature on the subject and the results of the survey conducted in the third quarter of 2020, among 174 seniors living in the housing stock of the Department of Housing Management - Social Housing Association LLC in Czestochowa (in Poland abbreviated and known as ZGM "TBS" Sp. z o.o.). In the empirical analysis, probit models were estimated, in which determinants belonging to 5 categories were considered. On this basis, using the Gretl program, 14 probit models (7 full and 7 reduced) were built, showing the relationships between the studied variables. Findings: The conducted analyzes showed that all estimated models are characterized by a matching correctness, as evidenced by the value of the likelihood ratio test. Moreover, the obtained research results show that older people living in the housing stock managed by the Social Housing Association "TBS" in Czestochowa are interested in using modern technologies, in particular in developing their competence in the field of finance and online transactions. Practical Implications: Thanks to the conducted research, it was found that seniors show a gap in terms of digital competence related to finance and online transactions. The gap covers both the skills and concerns of fraud in this area. Bearing in mind the conducted study, ZGM TBS implemented the information campaign called „Be safe, senior,” which aims to raise the knowledge in the field of counteracting financial frauds against the elderly. Regardless of this, employees contacting clients have been trained in competence assistance for seniors in the field of digital financial transactions. Originality/value: The study conducted by the authors can be considered original as it constitutes the basis for taking appropriate steps to reduce digital exclusion by seniors. On the other hand, it is the basis for increasing the necessary skills in the use of new technologies, especially needed in the time of the COVID-19 pandemic.

Suggested Citation

  • Katarzyna Olejniczak-Szuster & Michal Dziadkiewicz, 2020. "The Use of Binomial Models to Increase Digital Competence of Seniors in the City of Czestochowa," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 732-748.
  • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:special1:p:732-748
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/1789/download
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Goldberger model; logit model; probit model; competence; seniors; digital divide / digital exclusion.;
    All these keywords.

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    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:xxiii:y:2020:i:special1:p:732-748. 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.