Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society
This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …
The paper explored the application of big data in supply chain management and its benefits …
Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic
The spread of Covid-19 profoundly changed citizens' daily lives due to the introduction of
new modes of work and access to services based on smart technologies. Although the …
new modes of work and access to services based on smart technologies. Although the …
[HTML][HTML] Artificial intelligence empowering research on loneliness, depression and anxiety-using Covid-19 as an opportunity
The COVID-19 pandemic has had a profound impact on public mental health, leading to a
surge in loneliness, depression, and anxiety. And these public psychological issues …
surge in loneliness, depression, and anxiety. And these public psychological issues …
[HTML][HTML] Risk-taking, resilience, and state anxiety during the COVID-19 pandemic: A coming of (old) age story
J McCleskey, D Gruda - Personality and individual differences, 2021 - Elsevier
The current COVID-19 pandemic has created an unprecedented hostile psychological
environment for individuals. Against the backdrop of this exogenous shock and applying a …
environment for individuals. Against the backdrop of this exogenous shock and applying a …
Fair and explainable depression detection in social media
Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is
the same for identifying people suffering from depression. Nowadays, a number of …
the same for identifying people suffering from depression. Nowadays, a number of …
Emotion-infused models for explainable psychological stress detection
The problem of detecting psychological stress in online posts, and more broadly, of
detecting people in distress or in need of help, is a sensitive application for which the ability …
detecting people in distress or in need of help, is a sensitive application for which the ability …
Determining causal relationships in leadership research using Machine Learning: The powerful synergy of experiments and data science
Abstract Machine Learning (ML) techniques offer exciting new avenues for leadership
research. In this paper we discuss how ML techniques can be used to inform predictive and …
research. In this paper we discuss how ML techniques can be used to inform predictive and …
[HTML][HTML] Predicting generalized anxiety disorder from impromptu speech transcripts using context-aware transformer-based neural networks: model evaluation study
BG Teferra, J Rose - JMIR Mental Health, 2023 - mental.jmir.org
Background: The ability to automatically detect anxiety disorders from speech could be
useful as a screening tool for an anxiety disorder. Prior studies have shown that individual …
useful as a screening tool for an anxiety disorder. Prior studies have shown that individual …
The compatibility of theoretical frameworks with machine learning analyses in psychological research
Highlights•Supervised machine learning is frequently used in psychology
research.•Machine learning offers advantages over traditional statistical analyses.•Theory …
research.•Machine learning offers advantages over traditional statistical analyses.•Theory …
[HTML][HTML] I'm simply the best, better than all the rest: Narcissistic leaders and corporate fundraising success
We examine the relationship between leader grandiose narcissism, composed of admiration
and rivalry, and corporate fundraising success in a sample of 2377 organizational leaders …
and rivalry, and corporate fundraising success in a sample of 2377 organizational leaders …