Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50204 - Business and management

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Competitiveness

  • ISSN

    1804-171X

  • e-ISSN

    1804-1728

  • Svazek periodika

    16

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    27

  • Strana od-do

    17-43

  • Kód UT WoS článku

    001399025600002

  • EID výsledku v databázi Scopus

    2-s2.0-85215224405