Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://elar.urfu.ru/handle/10995/118189
Название: Factors influencing user participation in social media: Evidence from twitter usage during COVID-19 pandemic in Saudi Arabia
Авторы: Mohammed, A.
Ferraris, A.
Дата публикации: 2021
Издатель: Elsevier Ltd
Библиографическое описание: Mohammed A. Factors influencing user participation in social media: Evidence from twitter usage during COVID-19 pandemic in Saudi Arabia / A. Mohammed, A. Ferraris // Technology in Society. — 2021. — Vol. 66. — 101651.
Аннотация: With increasing frequency, people are using social media sites to obtain timely information about the world's grand challenges and this phenomenon is amplified during crises. However, little research has been conducted to determine how people participate and how their involvement can be promoted on social media sites, although the critical role played by those sites has been well documented. Based on the theory of planned behavior (TPB), this study develops and tests a theoretical model to establish the effect of several factors with survey data collected during the COVID-19 pandemic, in Saudi Arabia. The relationship was verified on a sample of 213 respondents active on Twitter, using Partial Least Square (PLS). The study found that attitude, perceived behavioural control and subjective norm affect Twitter users' active participation significantly within the context of a time of crisis. It also found a positive effect of utilitarian and hedonic values and trust. These results will provide a more comprehensive evaluation of Twitter users in grand challenges (and more specifically during a crisis) and furnish academics and managers with instructive guidance. © 2021 Elsevier Ltd
Ключевые слова: ACTIVE PARTICIPATION
COVID-19
EMERGENCY MANAGEMENT
HEDONIC VALUES
SOCIAL MEDIA
UTILITARIAN VALUE
EDUCATION
COMPREHENSIVE EVALUATION
GRAND CHALLENGE
PARTIAL LEAST SQUARE (PLS)
PERCEIVED BEHAVIOURAL CONTROLS
SUBJECTIVE NORM
THEORETICAL MODELING
THEORY OF PLANNED BEHAVIOR
USER PARTICIPATION
SOCIAL NETWORKING (ONLINE)
COVID-19
HEDONIC ANALYSIS
NUMERICAL MODEL
SOCIAL MEDIA
SURVEY
THEORETICAL STUDY
SAUDI ARABIA
URI: http://elar.urfu.ru/handle/10995/118189
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85108897259
Идентификатор WOS: 000687240700006
Идентификатор PURE: 22819847
ISSN: 0160791X
DOI: 10.1016/j.techsoc.2021.101651
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Файлы этого ресурса:
Файл Описание РазмерФормат 
2-s2.0-85108897259.pdf656,21 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.