[HTML][HTML] Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing

O Rodríguez-Espíndola, S Chowdhury, PK Dey… - … Forecasting and Social …, 2022 - Elsevier
Abstract The Industry 4.0 (I4. 0) revolution has led to rapid digital transformation, automation
of manufacturing processes and efficient decision-making in business operations. Despite …

An AI-based decision support system for predicting mental health disorders

S Tutun, ME Johnson, A Ahmed, A Albizri, S Irgil… - Information Systems …, 2023 - Springer
Approximately one billion individuals suffer from mental health disorders, such as
depression, bipolar disorder, schizophrenia, and anxiety. Mental health professionals use …

The changing landscape of digital transformation in supply chains: Impacts of industry 4.0 in Vietnam

M Akbari, SK Kok, J Hopkins, GF Frederico… - … international journal of …, 2023 - emerald.com
Purpose The purpose of the article is to contribute to the body of research on digital
transformation among members of the supply chain operating in an emerging economy. This …

Data-driven digital transformation and the implications for antifragility in the humanitarian supply chain

S Bag, MS Rahman, G Srivastava, M Giannakis… - International Journal of …, 2023 - Elsevier
Digital technologies often create confusion among donors involved in the humanitarian
supply chain (HSC). Specifically, donors are unsure about whether to rely on their …

Rapid opioid overdose response system technologies

JTW Teck, A Oteo, A Baldacchino - Current Opinion in Psychiatry, 2023 - journals.lww.com
This review highlights the importance of technology applied to every aspect of ROORS. Key
areas of development include the need to protect marginalized groups from algorithmic bias …

A methodological and theoretical framework for implementing explainable artificial intelligence (XAI) in business applications

D Tchuente, J Lonlac, B Kamsu-Foguem - Computers in Industry, 2024 - Elsevier
Artificial Intelligence (AI) is becoming fundamental in almost all activity sectors in our society.
However, most of the modern AI techniques (eg, Machine Learning–ML) have a black box …

Understanding AI innovation contexts: a review and content analysis of artificial intelligence and entrepreneurial ecosystems research

PT Roundy, A Asllani - Industrial Management & Data Systems, 2024 - emerald.com
Purpose An emerging research stream focuses on the place-based ecosystems where
artificial intelligence (AI) innovations emerge and develop. This literature builds on the …

The Recursive Theory of Knowledge Augmentation: Integrating human intuition and knowledge in Artificial Intelligence to augment organizational knowledge

A Harfouche, B Quinio, M Saba, PB Saba - Information Systems Frontiers, 2023 - Springer
Artificial intelligence (AI) has increased the ability of organizations to accumulate tacit and
explicit knowledge to inform management decision-making. Despite the hype and popularity …

Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China

W Zhang, M Zeng - Energy Economics, 2024 - Elsevier
Artificial intelligence (AI) has experienced significant momentum worldwide in recent years.
However, its rapid growth has raised concerns about energy shortages due to its high …

Robust Testing of AI Language Model Resiliency with Novel Adversarial Prompts

B Hannon, Y Kumar, D Gayle, JJ Li, P Morreale - Electronics, 2024 - mdpi.com
In the rapidly advancing field of Artificial Intelligence (AI), this study presents a critical
evaluation of the resilience and cybersecurity efficacy of leading AI models, including …