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Understanding social commerce use intention: A mixed-method approach based on structural equation modeling and fuzzy-set qualitative comparative analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F24%3A43974614" target="_blank" >RIV/49777513:23510/24:43974614 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.cjournal.cz/index.php?hid=clanek&bid=archiv&cid=552&cp=" target="_blank" >https://www.cjournal.cz/index.php?hid=clanek&bid=archiv&cid=552&cp=</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7441/joc.2024.04.02" target="_blank" >10.7441/joc.2024.04.02</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Understanding social commerce use intention: A mixed-method approach based on structural equation modeling and fuzzy-set qualitative comparative analysis

  • Original language description

    The adoption of social commerce by businesses is still in its early stages, and only companies that swiftly adapt can achieve success. In order to accomplish this, it is necessary to expand our understanding and comprehend the factors that decide the exploitation of social commerce by users - only in this way can companies formulate appropriate strategies leading to greater competitiveness. This study enhances the knowledge of social commerce by formulating a conceptual model of social commerce use and empirically validating it. The study enhances the current understanding of the social commerce environment by examining the impact of trust, social interactions and experience. It contributes to a deeper understanding of the factors that can influence users&apos; intention to use social commerce in the context of the selected country. This study is one of the first to explore the predicting effect of experience on trust and intention to use social commerce. A mixed-method approach combining structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) is utilized to get more robust results. SEM is used to verify the proposed social commerce model using a quasi-representative sample of 750 complete questionnaires. fsQCA is employed to enhance the research findings. The results indicate that the most critical factors that directly influence the use of social commerce in the Czech Republic are trust in the social commerce environment and experience with the online environment. Trust also has a significant indirect effect on the use of social commerce.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Competitiveness

  • ISSN

    1804-171X

  • e-ISSN

    1804-1728

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    27

  • Pages from-to

    17-43

  • UT code for WoS article

    001399025600002

  • EID of the result in the Scopus database

    2-s2.0-85215224405