Digitalization and artificial knowledge for accountability in SCM: a systematic literature review

A Di Vaio, B Latif, N Gunarathne, M Gupta… - Journal of Enterprise …, 2023 - emerald.com
Purpose In this study, the authors examine artificial knowledge as a fundamental stream of
knowledge management for sustainable and resilient business models in supply chain …

Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions

LP Vishwakarma, RK Singh, R Mishra… - International Journal of …, 2023 - Taylor & Francis
Recent years have witnessed increased pressure across the global healthcare system
during the COVID-19 pandemic. The COVID-19 pandemic shattered existing healthcare …

The effect of customer and supplier concentrations on firm resilience during the COVID‐19 pandemic: resource dependence and power balancing

S Jiang, ACL Yeung, Z Han… - Journal of Operations …, 2023 - Wiley Online Library
The COVID‐19 pandemic has created significant disruptions in both demand and supply.
Our study makes use of such dramatic changes in demand and supply during the pandemic …

Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises

PK Dey, S Chowdhury, A Abadie… - … Journal of Production …, 2023 - Taylor & Francis
Despite the exponential growth of artificial intelligence (AI) research in operations, supply
chain, and productions management literature, empirical insights on how organisational …

Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022

DK Pandey, AI Hunjra, R Bhaskar, MAS Al-Faryan - Resources Policy, 2023 - Elsevier
Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …

Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review

H Liao, Y He, X Wu, Z Wu, R Bausys - Information Fusion, 2023 - Elsevier
Multi-criterion decision making (MCDM) methods can derive alternative rankings as
solutions to decision-making problems based on survey or historical data about the …

Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: a dynamic capability theory perspective

M Xi, Y Liu, W Fang, T Feng - International Journal of Production Economics, 2024 - Elsevier
The occurrence of unexpected crises, such as the COVID-19 pandemic, creates a serious
disruption in business operations, causing many companies to reassess the way they …

[HTML][HTML] The Digitalization Paradigm: Impacts on Agri-Food Supply Chain Profitability and Sustainability

Y Dong, SF Ahmad, M Irshad, M Al-Razgan, YA Ali… - Sustainability, 2023 - mdpi.com
Digitization has completely changed the landscape of supply chain management, which
enables businesses to streamline their processes and attain higher levels of profitability and …

[HTML][HTML] An integrated MCDM-ML approach for predicting the carbon neutrality index in manufacturing supply chains

V Dohale, S Kamble, P Ambilkar, S Gold… - … Forecasting and Social …, 2024 - Elsevier
Organizations across the globe are devising novel approaches to strive for carbon neutrality.
Global institutions have manifested the critical need to develop reasonable strategies in …

Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks

A Brintrup, E Kosasih, P Schaffer, G Zheng… - … Journal of Production …, 2024 - Taylor & Francis
Digital Supply Chain Surveillance (DSCS) is the proactive monitoring and analysis of digital
data that allows firms to extract information related to a supply network, without the explicit …