The outbreak of COVID-19 at the beginning of 2020 has heavily influenced education all around the world. In Vietnam, educational institutes were suspended, and distance learning was conducted to ensure students’ learning process, with distance learning occurring mainly via video conferencing tools (VTCs). The purpose of this paper is to provide data on Vietnamese students’ acceptance of using VCTs in distance learning during the COVID-19 pandemic through an extended technology acceptance model (TAM) and structural equation modeling (SEM) method. This study used the TAM of Venkatesh and Davis. The questionnaire was designed based on Venkatesh and Davis and Salloum et al.’s scale. An online survey with snowball sampling was selected in April. The final dataset consisted of 277 valid records. This data descriptor presented descriptive statistics (mean, standard deviation), internal consistency (Cronbach’s alpha), reliability and validity measures (composite reliability, average value extracted test,) and factor loading of items of eight factors: output quality, computer playfulness, subjective norm, perceived usefulness, perceived ease of use, attitude towards to use, behavioral intention to use, and actual system to use. Results indicated that external factors such as subjective norm and computer playfulness had a significant impact on most TAM constructs. Furthermore, output quality was found to have a positive influence on students’ perceived usefulness and acceptance of VCTs in distance learning.
Purpose: Ride-hailing service, after the emergence in Hanoi – capital of Vietnam in 2014, has experienced major development and gradually enhanced the inner-city travelling of citizens. This study aims at investigating technology-based driver productivity perception and identifying several important influencing factors during the period of COVID-19 pandemic
Design/methodology/approach: The samples of 370 technology-based drivers have been surveyed to collect significant data about factors impacting on worker productivity in Vietnam ride-hailing service. SPSS 26 software is conducted with two types of analyses, including descriptive analysis and statistical analysis
Findings: The findings indicate that social distances, service waste and customer behaviors possess significant impacts on worker productivity in Vietnam ride-hailing services. Several special concerned factors have been identified to raise driver’s awareness of productivity improvement in ride-hailing service.
Research, Practical and Social implication: Major implications can be suggested for improving driver productivity during and after COVID-19 pandemic, especially in term of reducing service waste and increasing customer behavior towards ride-hailing services.
Originality/value: Basing on research findings, the study becomes significant contribution to further papers as well as service managers to enhance technological driver productivity during COVID-19 pandemic.
This research analysed the studies of policy on issues related to COVID-19. The results show the most productive countries, the most frequently cited sources, the most co-occurred topics of studies concerning policy issues since the epidemic was a breakout at the beginning. The data in this research were collected from the Scopus database with two search terms, "COVID-19" and "policy" of the social science domain, and published from the first day of 2020 to the search time (September 10, 2020). The final dataset consists of 384 valid documents analysed by descriptive statistics, and co-occurrence analysis was applied in R. Among 46 countries, the United States, the United Kingdom, Australia, China, India, and Italy are the leading countries that published these studies. Almost all the funded scholars focused on Europe, the Americas, and Asia. The main topics of the articles are "working in COVID-19 period", "community health and social support," "using ICT in teaching and learning," "human rights." Within funded studies, four interesting topics are "social well-being," "ICT infrastructure," "agricultural policy," and "born-digital." This study presents the current situation of how studies concerning policy issues have been issued to respond to the COVID-19 pandemic.
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