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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 |
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2-s2.0-85108897259.pdf | 656,21 kB | Adobe PDF | Просмотреть/Открыть |
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