IDEAS home Printed from https://ideas.repec.org/a/ris/buecrj/0662.html
   My bibliography  Save this article

Determining Artificial Intelligence Anxiety of Potential Employees of the Digital Age (Dijital Çağın Potansiyel Çalışanlarının Yapay Zekâ Kaygılarının Belirlenmesi)

Author

Listed:
  • Ulukapı Yılmaz, Hande

    (Independent Researcher)

  • Yılmaz, Abdullah

    (Selcuk University)

Abstract

Artificial intelligence not only makes human life easier, but also brings some concerns. These concerns are included in the literature as artificial intelligence anxiety. This new technology is a rival to existing employees at the point of their jobs, professions, and future and there may be a serious threat to employment opportunities for potential workers. In this direction, it is aimed to determine the artificial intelligence anxiety of young people, who are seen as potential employees of the digital age, and to reveal whether this anxiety differs according to demographic characteristics. Within the scope of the research, data was collected from 318 university students by convenience sampling method using the survey technique, and the data was analyzed with independent sample t-test and one-way ANOVA test. According to the results, it was found that the artificial intelligence anxiety of university students is at a moderate level. In addition, it has been determined that the artificial intelligence anxieties of the students show statistically significant differences according to their grades, academic achievement, work experience, and having digital technologies. The findings are thought to contribute to the newly developing literature and provide discussion opportunities for researchers in future studies.

Suggested Citation

  • Ulukapı Yılmaz, Hande & Yılmaz, Abdullah, 2024. "Determining Artificial Intelligence Anxiety of Potential Employees of the Digital Age (Dijital Çağın Potansiyel Çalışanlarının Yapay Zekâ Kaygılarının Belirlenmesi)," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 15(2), pages 171-188, April.
  • Handle: RePEc:ris:buecrj:0662
    as

    Download full text from publisher

    File URL: https://www.berjournal.com/determining-artificial-intelligence-anxiety-of-potential-employees-of-the-digital-age
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Artificial Intelligence (AI); Artificial Intelligence Anxiety (AIA); Rational Action Theory; Digital Age; University Students;
    All these keywords.

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:ris:buecrj:0662. 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: Adem Anbar (email available below). General contact details of provider: https://edirc.repec.org/data/iiulutr.html .

    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.