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Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916095" target="_blank" >RIV/00216275:25410/20:39916095 - isvavai.cz</a>

  • Result on the web

    <a href="https://aip.vse.cz/pdfs/aip/2020/01/01.pdf" target="_blank" >https://aip.vse.cz/pdfs/aip/2020/01/01.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18267/j.aip.128" target="_blank" >10.18267/j.aip.128</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis

  • Original language description

    As a professional virtual community, the virtual academic community meets the new needs of scholars for academic cooperation in the network environment. It provides a more convenient way for scientific research cooperation. The purpose of this paper is to combine the factors influencing researcher cooperation in virtual academic communities and to verify and improve the index system of the factors influencing researcher cooperation in virtual academic communities with data support. Data for the research was obtained in an online questionnaire survey wjx.cn from forum muchong.com, which is the largest virtual academic community in China. Using principal component analysis method provides an in-depth data analysis of individual factors. The SPSS 20 was used to conduct a preliminary descriptive statistical analysis of the questionnaires. The results obtained show that community trust plays the most important role in the collaboration of researchers in virtual academic communities and that group interaction factors and individual factors also affect the cooperation of researchers in virtual academic communities. The conclusion suggests that the virtual academic communities need to establish and improve management norms and trust mechanisms, and also need to refine and improve the forum section and community incentives

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50902 - Social sciences, interdisciplinary

Result continuities

  • Project

    <a href="/en/project/EF16_027%2F0008008" target="_blank" >EF16_027/0008008: International Mobility of Researchers at the University of Pardubice</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Informatica Pragensia

  • ISSN

    1805-4951

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    4-17

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85090205386