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Do Gender and Personality Traits Influence Frequency of Use of Deal Sites?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22810%2F16%3A43902301" target="_blank" >RIV/60461373:22810/16:43902301 - isvavai.cz</a>

  • Result on the web

    <a href="https://domino.fov.uni-mb.si/proceedings.nsf/Proc2016Research?OpenPage" target="_blank" >https://domino.fov.uni-mb.si/proceedings.nsf/Proc2016Research?OpenPage</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Do Gender and Personality Traits Influence Frequency of Use of Deal Sites?

  • Original language description

    Although deal sites cannot be considered a new technology anymore, there is still only a limited amount of quantitative research on the topic. The paper aims to expand the body of knowledge. The study investigates impact of gender and personality traits on frequency of use of deal sites. Big Five Inventory-10 is used to measure personality traits. Three models are tested. First, all respondents are taken into account, i.e. also ones not aware of deal sites. In the first model, only gender is significant. Second, only respondents aware of deal sites are taken into account. In the second model, neuroticism, openness to experience, gender (and possibly agreeableness) are significant. Third, only respondents who use deal sites are taken into account. In the third model, openness to experience (and possibly extraversion) are significant.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    29th Bled eConference Digital Economy

  • ISBN

    978-961-232-287-8

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    266-274

  • Publisher name

    University of Maribor

  • Place of publication

    Maribor

  • Event location

    Bled

  • Event date

    Jun 19, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article