The roles of privacy concerns and trust in voluntary use of governmental proximity tracing applications
A growing aspect of e-government is healthcare-related. Although preventative e-health
services provided by governments like proximity tracing applications (PTAs) can bring …
services provided by governments like proximity tracing applications (PTAs) can bring …
Determining ergonomic appraisal factors affecting the learning motivation and academic performance of students during online classes
MJJ Gumasing, FMF Castro - Sustainability, 2023 - mdpi.com
Throughout the COVID-19 pandemic, students face intolerable mental and physical
discomfort when taking online classes, directly impacting their learning motivation and …
discomfort when taking online classes, directly impacting their learning motivation and …
Factors affecting customer satisfaction in fast food restaurant “Jollibee” during the COVID-19 pandemic
Jollibee is one of the most widely known fast food in Filipino-based restaurants in the world.
However, the COVID-19 pandemic has impacted restaurants across the world. The …
However, the COVID-19 pandemic has impacted restaurants across the world. The …
Utilization of random forest and deep learning neural network for predicting factors affecting perceived usability of a COVID-19 contact tracing mobile application in …
The continuous rise of the COVID-19 Omicron cases despite the vaccination program
available has been progressing worldwide. To mitigate the COVID-19 contraction, different …
available has been progressing worldwide. To mitigate the COVID-19 contraction, different …
Utilization of random forest classifier and artificial neural network for predicting factors influencing the perceived usability of COVID-19 contact tracing “Morchana” in …
With the constant mutation of COVID-19 variants, the need to reduce the spread should be
explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread …
explored. MorChana is a mobile application utilized in Thailand to help mitigate the spread …
Purchasing intentions analysis of hybrid cars using random forest classifier and deep learning
In developed or first-world countries, hybrid cars are widely utilized and essential in
technological development and reducing carbon emissions. Despite that, develo** or third …
technological development and reducing carbon emissions. Despite that, develo** or third …
Antecedents predicting digital contact tracing acceptance: a systematic review and meta-analysis
KM Kuo - BMC Medical Informatics and Decision Making, 2023 - Springer
An awareness of antecedents of acceptance of digital contact tracing (DCT) can enable
healthcare authorities to design appropriate strategies for fighting COVID-19 or other …
healthcare authorities to design appropriate strategies for fighting COVID-19 or other …
Antecedents of behavioral intentions for purchasing hybrid cars using sustainability theory of planned behavior integrated with UTAUT2
Hybrid cars were developed and are widely utilized in developed countries due to their
sustainability advantages. However, develo** countries were seen to underutilize this …
sustainability advantages. However, develo** countries were seen to underutilize this …
Classification modeling of intention to donate for victims of Typhoon odette using Deep Learning Neural Network
The need for stability in the economy for world development has been a challenge due to
the COVID-19 pandemic. In addition, the increase of natural disasters and their aftermath …
the COVID-19 pandemic. In addition, the increase of natural disasters and their aftermath …
The behavioral intention to adopt circular economy-based digital technology for agricultural waste valorization
Thailand generates considerable amounts of agricultural food waste. This research focuses
on the manufacturing and retail agricultural food system in the northeastern region of …
on the manufacturing and retail agricultural food system in the northeastern region of …