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Empirical Assessment of How the Impact of Emotional Intelligence and Behavioural Biases Determine the Investment Decisions of Information Technology Professionals

Author

Listed:
  • Singh Sanjeet

    (1 Chandigarh University, India)

  • Madaan Geetika

    (2 Chandigarh University, India)

  • Singh Amrinder

    (3 JAIN (Deemed-to-be University), India)

  • Swapna H.R.

    (4 JAIN (Deemed-to-be University), India)

Abstract

Emotional intelligence (EI) has been shown in earlier research to be crucial in determining how people proceed through life. Emotional intelligence (EI) is one of the most important determinants of how people relate to one another and feel.

Suggested Citation

  • Singh Sanjeet & Madaan Geetika & Singh Amrinder & Swapna H.R., 2023. "Empirical Assessment of How the Impact of Emotional Intelligence and Behavioural Biases Determine the Investment Decisions of Information Technology Professionals," Folia Oeconomica Stetinensia, Sciendo, vol. 23(2), pages 352-369, December.
    • Handle: RePEc:vrs:foeste:v:23:y:2023:i:2:p:352-369:n:4
    DOI: 10.2478/foli-2023-0035
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    References listed on IDEAS

    as
    1. Christophe Haag & Lisa Bellinghausen & Mariya Jilinskaya-Pandey, 2023. "QEPro: An ability measure of emotional intelligence for managers in a French cultural environment," Post-Print hal-03209097, HAL.
    2. Aditya Sharma & Arya Kumar, 2019. "A review paper on behavioral finance: study of emerging trends," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 12(2), pages 137-157, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    behavioural biases; consumer; emotional intelligence; investment; Information Technology Professional;
    All these keywords.

    JEL classification:

    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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