Using artificial intelligence to tackle food waste and enhance the circular economy: Maximising resource efficiency and Minimising environmental impact: A review

H Onyeaka, P Tamasiga, UM Nwauzoma, T Miri… - Sustainability, 2023 - mdpi.com
Food waste is a global issue with significant economic, social, and environmental impacts.
Addressing this problem requires a multifaceted approach; one promising avenue is using …

Leveraging artificial intelligence for enhanced supply chain optimization: a comprehensive review of current practices and future potentials

OS Joel, AT Oyewole, OG Odunaiya… - International Journal of …, 2024 - fepbl.com
The integration of artificial intelligence (AI) technologies into supply chain management has
emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in …

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic

S Balasubramanian, V Shukla, N Islam… - … Journal of Production …, 2023 - Taylor & Francis
The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and
highlighted the need for innovative, technology-driven solutions like Artificial Intelligence …

Impact of population aging on food security in the context of artificial intelligence: Evidence from China

CC Lee, J Yan, F Wang - Technological Forecasting and Social Change, 2024 - Elsevier
As population aging becomes the new demographic norm in China, its workforce structure is
changing, and its demographic dividend is about to disappear. Artificial intelligence (AI) has …

The precursors of AI adoption in business: Towards an efficient decision-making and functional performance

AM Baabdullah - International Journal of Information Management, 2024 - Elsevier
Artificial intelligence (AI) is a highly effective solution for enhancing decision-making
efficiency and optimising the functional performance of organisations. However, there have …

Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns

AM Baabdullah - Technological Forecasting and Social Change, 2024 - Elsevier
This study aims to identify and empirically examine the influence of the main factors related
to the content quality of generative conversational AI agents on decision-making efficiency …

Exploring the nexus of digital transformation and sustainability in agribusiness: Advancing a research agenda

MC Annosi, FP Appio, ER Brenes, F Brunetta - … Forecasting and Social …, 2024 - Elsevier
The development and diffusion of digital technologies are transforming industries, including
the agrifood sector, which is experiencing significant changes driven by the “Digital …

[HTML][HTML] Factors influencing readiness for artificial intelligence: a systematic literature review

W Ali, AZ Khan - Data Science and Management, 2024 - Elsevier
Public-and private-sector organizations have adopted artificial intelligence (AI) to meet the
challenges of the Fourth Industrial Revolution. The successful implementation of AI is a …

AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

H Jain, R Dhupper, A Shrivastava, D Kumar… - Computational Urban …, 2023 - Springer
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …

Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government …

S Wang, H Zhang - Technology in Society, 2024 - Elsevier
This study investigates the integral role of generative artificial intelligence (GAI) in
enhancing green entrepreneurship success, focusing on the interconnected dynamics of …