IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v209y2024ics0040162524006176.html
   My bibliography  Save this article

Perceived worth of human capital across IT jobseekers in the digital era

Author

Listed:
  • Shakina, Elena
  • Volkova, Natalia V.
  • Paklina, Sofia

Abstract

In an era of technological transformation in labor markets, jobseekers navigate a new landscape of wage uncertainty during the hiring process. Not disclosing wage expectations typically leads to subsequent wage bargaining, which can impact the job matching process and the final agreed-upon wage. This study delves into when jobseekers are more inclined to disclose wage expectations in their online CVs, considering the interplay of human capital accumulation (education, professional skills, work experience) and job-related signals (mobility, job commitment, work schedule/mode). Analyzing over 152,000 anonymous online CVs of tech professionals from 2016 to 2020 in one of the Eastern European countries, the study uses the OLS model with Heckman correction for sample selection bias. The findings reveal trends in wage expectation disclosure. Younger IT jobseekers, along with those who are more educated, skilled, and mobile, tend toward wage bargaining, seldom disclosing wage expectations. Similar effect holds for women jobseekers. Conversely, older jobseekers with basic skills, seeking full-time roles and clear work schedules, are more likely to voluntarily post wage expectations. This research extends compensation literature by focusing on online CVs and exploring a broader range of indicators, reflecting the significant impact of technology-driven social changes on jobseeker behavior in modern labor markets.

Suggested Citation

  • Shakina, Elena & Volkova, Natalia V. & Paklina, Sofia, 2024. "Perceived worth of human capital across IT jobseekers in the digital era," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  • Handle: RePEc:eee:tefoso:v:209:y:2024:i:c:s0040162524006176
    DOI: 10.1016/j.techfore.2024.123819
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524006176
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2024.123819?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Human capital; Wage expectation disclosure; Signaling theory; IT professionals;
    All these keywords.

    JEL classification:

    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:eee:tefoso:v:209:y:2024:i:c:s0040162524006176. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.