IDEAS home Printed from https://ideas.repec.org/a/vrn/hrmsnr/y2022i1p210-224.html
   My bibliography  Save this article

Exploring Gender Pay Gap In The It Sector

Author

Listed:
  • Radka Nacheva

    (University of Economics – Varna, Bulgaria)

  • Velina Koleva

    (University of Economics – Varna, Bulgaria)

Abstract

The issue of gender equality is still on the agenda, including in terms of workplace payment gap. The literature review shows that the issue has been enshrined in a number of normative documents since 1951. However, the research done so far strongly suggests that in both European Union countries (including Bulgaria) and the United States, there is a gender pay gap despite the legal basis. This paper identifies the most significant reasons that give rise to this inequality. The aim of the paper is to investigate the pay gap between men and women in the Information technologies (IT) sector by proposing an integrated research process. To fulfil the purpose, we will process with the means of data mining and statistical analysis: opinions of users of the social network Twitter, extracted by keywords for gender equality in the IT sector; opinions of employees in IT companies obtained through a survey. Our proposed integrated research process consists of the following phases: Data Collection; Retrieving Dataset; Data Pre-processing; Data Analysis and Data Visualization. We combined social media and survey data. Data mining and statistical software are used for its implementation.

Suggested Citation

  • Radka Nacheva & Velina Koleva, 2022. "Exploring Gender Pay Gap In The It Sector," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 210-224.
  • Handle: RePEc:vrn:hrmsnr:y:2022:i:1:p:210-224
    as

    Download full text from publisher

    File URL: http://conference.ue-varna.bg/hrm/wp-content/uploads/Proceedings/Papers2022/Nacheva-Koleva.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miroslava Peicheva, 2022. "A Model For Implementing Innovations In Training," HR and Technologies, Creative Space Association, issue 1, pages 5-17.
    2. Olga Marinova & Snezhana Sulova, 2021. "Challenges And Key Requirements For Data Scientists," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 44-51.
    3. Mariya Veleva, 2020. "Best Practices as Opportunities for Leadership Soft Skills Improvement in Human Resource Management in Bulgarian Tourism Organizations: The Four Season Hotels Example," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 9(3), pages 63-71, December.
    4. Katya Antonova & Pavlina Ivanova, 2021. "Robotization And Artificial Intelligence - A New Model Of Cooperation And / Or Interaction Between Machines And People In The Workplace," HR and Technologies, Creative Space Association, issue 1, pages 60-76.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ralitza Pandurska, 2022. "Research Of The Potential Of Persons Through Human Capital Index," HR and Technologies, Creative Space Association, issue 2, pages 16-34.

    More about this item

    Keywords

    IT sector; payment gap; gender equality; social media mining; sentiment analysis;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    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:vrn:hrmsnr:y:2022:i:1:p:210-224. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Radka Nacheva (email available below). General contact details of provider: https://edirc.repec.org/data/uevarbg.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.