Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Factors Influencing Researcher Cooperation in Virtual Academic Communities Based on Principal Component Analysis
Popis výsledku anglicky
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
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50902 - Social sciences, interdisciplinary
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_027%2F0008008" target="_blank" >EF16_027/0008008: Mezinárodní mobilita výzkumných pracovníků na Univerzitě Pardubice</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Acta Informatica Pragensia
ISSN
1805-4951
e-ISSN
—
Svazek periodika
9
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
13
Strana od-do
4-17
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85090205386