Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review

ED Zamani, C Smyth, S Gupta, D Dennehy - Annals of Operations …, 2023 - Springer
Abstract Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to
significantly improve resilience of supply chains and to facilitate more effective management …

Artificial intelligence as a disruptive technology—a systematic literature review

VD Păvăloaia, SC Necula - Electronics, 2023 - mdpi.com
The greatest technological changes in our lives are predicted to be brought about by
Artificial Intelligence (AI). Together with the Internet of Things (IoT), blockchain, and several …

Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy

M Sharma, S Luthra, S Joshi, A Kumar - Government Information Quarterly, 2022 - Elsevier
Abstract The growing Artificial Intelligence (AI) age has been flooded with several
innovations in algorithmic machine learning that may bring significant impacts to industries …

AI applications of data sharing in agriculture 4.0: A framework for role-based data access control

K Spanaki, E Karafili, S Despoudi - International Journal of Information …, 2021 - Elsevier
Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in
various fields. Industry 4.0 also manifests in the farming sector, where the wave of …

AI based decision making: combining strategies to improve operational performance

A Al-Surmi, M Bashiri, I Koliousis - International Journal of …, 2022 - Taylor & Francis
This study investigates the strategic alignment between marketing and information
technology (IT) strategies and provides production and operations decision makers a model …

Adoption of smart farming technologies in field operations: A systematic review and future research agenda

HY Osrof, CL Tan, G Angappa, SF Yeo, KH Tan - Technology in Society, 2023 - Elsevier
The agriculture sector, worldwide, faces grand challenges that significantly threaten food
security and environmental sustainability. Smart farming technologies (SFTs) have emerged …

A structured literature review on the interplay between emerging technologies and COVID-19–insights and directions to operations fields

MM Queiroz, S Fosso Wamba - Annals of Operations Research, 2024 - Springer
In recent years, emerging technologies have gained popularity and being implemented in
different fields. Thus, critical leading-edge technologies such as artificial intelligence and …

Understanding ecological agricultural technology adoption in China using an integrated technology acceptance model—theory of planned behavior model

H Dong, H Wang, J Han - Frontiers in Environmental Science, 2022 - frontiersin.org
With the development of the economy and society, environmental pollution and resource
waste problems are emerging, especially in agricultural production, and the adoption of …

An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms

H Issa, R Jabbouri, M Palmer - Technological Forecasting and Social …, 2022 - Elsevier
With recent technological advancements, empowered by the self-learning capabilities of
algorithms and increasing power of machine computation, artificial intelligence (AI)-driven …

Analyzing agrifood-tech e-business models

M Vlachopoulou, C Ziakis, K Vergidis, M Madas - Sustainability, 2021 - mdpi.com
The agribusiness sector shows tremendous growth and sustainability prospects by
exploiting the challenges of “AgriFood-Tech” business models in the digital environment, by …