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The Five W'S Of Emotion Analytics In Human Resources Management

Author

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  • Radka Nacheva

Abstract

The topic of emotional intelligence is gaining popularity in recent years. One of its applications is in the field of human resources management. Hiring managers have realized the importance of emotional communication when searching, motivating, and keeping talents in their teams. To support the process of identifying and hiring the appropriate person, developing the skills and expertise of the person to match the position, they use so-called emotion analytics. In this regard, the purpose of current paper is to identify the five Ws of emotion analytics in human resources management and to propose an approach to apply them to social network research. Twitter has been used as a targeted social network for research as it is growing in popularity with young people around the world.

Suggested Citation

  • Radka Nacheva, 2019. "The Five W'S Of Emotion Analytics In Human Resources Management," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 216-225.
    • Handle: RePEc:vrn:hrmsnr:y:2019:i:1:p:216-225
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    File URL: http://conference.ue-varna.bg/hrm/wp-content/uploads/Proceedings/Papers2019/Nacheva_2019.pdf
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    Cited by:

    1. Pavlina Ivanova & Katya Antonova, 2022. "The Skunk Works Approach: An Innovative Solution For Human Resources Management," INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE "HUMAN RESOURCE MANAGEMENT", University of Economics - Varna, issue 1, pages 93-102.

    More about this item

    Keywords

    talent management; human resources management; emotion analytics; emotional intelligence; social network research;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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