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Modelling Enhancement of Team Emotional Intelligence

Author

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  • Irameet Kaur
  • Charu Shri
  • K.M. Mital

Abstract

This article aims to review the concept of team emotional intelligence (TEI) and propose a conceptual model for its enhancement. It seeks to analyze the past literature on TEI and attempts to identify and derive a relationship between different variables that influence it. The technique of interpretive structural modelling (ISM) has been used to identify the strongest and weakest drivers of TEI. The relationship between the individual- and team-level variables was established to develop a theoretical model for enhancement of TEI. The model will help organizations to focus on the right variables to enhance TEI, thus producing effective teams and efficient results. The article adds a new dimension to the approach of TEI by proposing a model for enhancing it. It also studies the different variables of TEI at individual and team levels and their interrelationships, which have not yet been explored extensively.

Suggested Citation

  • Irameet Kaur & Charu Shri & K.M. Mital, 2016. "Modelling Enhancement of Team Emotional Intelligence," Vision, , vol. 20(3), pages 184-198, September.
    • Handle: RePEc:sae:vision:v:20:y:2016:i:3:p:184-198
    DOI: 10.1177/0972262916651532
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    References listed on IDEAS

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    2. Radha R. Sharma, 2008. "Emotional Intelligence from 17th Century to 21st Century: Perspectives and Directions for Future Research," Vision, , vol. 12(1), pages 59-66, January.
    3. Jordan, Peter J & Lawrence, Sandra A, 2009. "Emotional intelligence in teams: Development and initial validation of the short version of the Workgroup Emotional Intelligence Profile (WEIP-S)," Journal of Management & Organization, Cambridge University Press, vol. 15(4), pages 452-469, September.
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    6. Lewis, Kyle & Belliveau, Maura & Herndon, Benjamin & Keller, Joshua, 2007. "Group cognition, membership change, and performance: Investigating the benefits and detriments of collective knowledge," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 159-178, July.
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    Cited by:

    1. Sushil, 2018. "How to check correctness of total interpretive structural models?," Annals of Operations Research, Springer, vol. 270(1), pages 473-487, November.

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