IDEAS home Printed from https://ideas.repec.org/a/acf/journl/y2024id2529.html
   My bibliography  Save this article

IT Job Preference Categorization

Author

Listed:
  • A. O. Khlobystova
  • M. V. Abramov
  • T. V. Tulupyeva

Abstract

The aim of the study is to develop a questionnaire integrating traditional career guidance techniques and categorization of IT professions by analyzing existing classifications and interviewing IT specialists. Methods. In order to achieve the objective, we selected a traditional career guidance methodology by analysing the existing ones and selecting the one that best corresponds to the research objective; we also selected a system of categorisation of IT specialties by analysing the existing classifications and interviewing IT specialists. Results. Among the existing traditional career guidance techniques, the Holland Test was selected as having the potential to be adapted to the IT field. The analysis of the existing classifications of IT specialities showed the lack of unity, in this context our own categorisation was developed, including five main categories: development, QA specialists, working with data and research, management, design. Conclusions. Based on the results of the study, it was hypothesised that there are differences in the degree of expression of the Holland types among the different IT professions. Also, the presumed correspondence between different categories of IT professions and the predominant Holland types is given. The study forms the basis for the development of a software product that will help people to identify the most suitable IT professions for them.

Suggested Citation

  • A. O. Khlobystova & M. V. Abramov & T. V. Tulupyeva, 2024. "IT Job Preference Categorization," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 3.
  • Handle: RePEc:acf:journl:y:2024:id:2529
    DOI: 10.22394/1726-1139-2024-3-141-153
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/2529/1929
    Download Restriction: no

    File URL: https://libkey.io/10.22394/1726-1139-2024-3-141-153?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:acf:journl:y:2024:id:2529. 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: the person in charge (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.