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Data Analysis To Improve Employee Productivity And Engagement

Author

Listed:
  • Miglena Stoyanova

    (University of Economics – Varna, Bulgaria)

Abstract

In the current age of high technology, the business environment is subject to continuous transformations, part of which is human resource management. Data analysis becomes an essential factor in its development, providing organizations with new and innovative tools to improve employee productivity, engagement and satisfaction. In this context, the current study focuses on the essence and opportunities of data analysis in order to identify successful practices and areas for optimization. Some of its key aspects and practical applications leading to the achievement of intelligent human resource management are examined.

Suggested Citation

  • Miglena Stoyanova, 2024. "Data Analysis To Improve Employee Productivity And Engagement," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 234-241.
    • Handle: RePEc:vrn:hrmsnr:y:2024:i:1:p:234-241
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    File URL: http://conference.ue-varna.bg/hrm/wp-content/uploads/Proceedings/Papers2023/Stoyanova.pdf
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    References listed on IDEAS

    as
    1. Hamilton, R.H. & Sodeman, William A., 2020. "The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources," Business Horizons, Elsevier, vol. 63(1), pages 85-95.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Data analysis; Employee engagement; Employee productivity; Human resource (HR) management;
    All these keywords.

    JEL classification:

    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

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