[HTML][HTML] Investigation of statistical machine learning models for COVID-19 epidemic process simulation: Random forest, K-nearest neighbors, gradient boosting

D Chumachenko, I Meniailov, K Bazilevych… - Computation, 2022 - mdpi.com
COVID-19 has become the largest pandemic in recent history to sweep the world. This study
is devoted to developing and investigating three models of the COVID-19 epidemic process …

[HTML][HTML] E-commerce website usability analysis using the association rule mining and machine learning algorithm

B Kumar, S Roy, A Sinha, C Iwendi, Ľ Strážovská - Mathematics, 2022 - mdpi.com
The overall effectiveness of a website as an e-commerce platform is influenced by how
usable it is. This study aimed to find out if advanced web metrics, derived from Google …

Securing enterprises: harnessing blockchain technology against cybercrime threats

F Zidan, D Nugroho, BA Putra - International Journal of Cyber …, 2023 - iiast.iaic-publisher.org
In the face of increasingly sophisticated cybercrime threats, large companies now need
innovative solutions to protect their data and interests. Blockchain technology, which is …

E-commerce for a sustainable future: integrating trust, green supply chain management and online shopping satisfaction

F Jalil, J Yang, M Al-Okaily, SU Rehman - Asia Pacific Journal of …, 2024 - emerald.com
Purpose This study embarks on a comprehensive investigation into the intricate relationship
between consumer trust in e-commerce platforms and the adoption of Green Supply Chain …

[HTML][HTML] Live Commerce Platforms: A New Paradigm for E-Commerce Platform Economy

J Kim, N He, I Miles - Journal of Theoretical and Applied Electronic …, 2023 - mdpi.com
Live commerce is creating a new paradigm for e-commerce platform economy. This study
aims to provide effective strategies that can be used for live commerce platform operation …

[HTML][HTML] Emoji, text, and sentiment polarity detection using natural language processing

S Gupta, A Singh, V Kumar - Information, 2023 - mdpi.com
Virtual users generate a gigantic volume of unbalanced sentiments over various online
crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate …

E-commerce from the customer panel: The phenomenon of the pandemic increase and future challenge

A Jasińska-Biliczak - Business, Management and Economics …, 2022 - ceeol.com
Purpose–the purpose of the article is to present the customers (the auction site's users)
perception of the opportunities provided by e-commerce, especially increasing its meaning …

[HTML][HTML] Psychological and behavior changes of consumer preferences during COVID-19 pandemic times: an application of GLM regression model

L Ivascu, AE Domil, AE Artene, O Bogdan… - Frontiers in …, 2022 - frontiersin.org
The life we considered normal was disrupted due to measures taken to limit the spread of
the novel coronavirus. Quarantine, isolation, social distancing, and community containment …

The e-entrepreneurial intentions of Jordanian business students to start an online business in emerging economies: an application of planned behavior theory

S Abu Shriha, MA AL-Shboul, S Abaddi - … & Sustainability: An Arab …, 2024 - emerald.com
Purpose The purpose of this study is to assess the correlations between the e-
entrepreneurial intentions, attitude toward e-entrepreneurship, subjective norms, perceived …

[HTML][HTML] Impact of social media on knowledge of the COVID-19 pandemic on Bangladeshi university students

S Chowdhury, M Rahman, IA Doddanavar, NM Zayed… - Computation, 2023 - mdpi.com
This study aimed to examine the role and impact of social media on the knowledge of the
COVID-19 pandemic in Bangladesh through disseminating actual changes in health safety …