Digital transformation and environmental sustainability: A review and research agenda

AK Feroz, H Zo, A Chiravuri - Sustainability, 2021 - mdpi.com
Digital transformation refers to the unprecedented disruptions in society, industry, and
organizations stimulated by advances in digital technologies such as artificial intelligence …

Applications of smart technologies in logistics and transport: A review

SH Chung - Transportation Research Part E: Logistics and …, 2021 - Elsevier
The emergence of smart technologies (STs) is inducing significant transformation in logistics
and transport nowadays. STs refer to the applications of artificial intelligence and data …

Data science and big data analytics: A systematic review of methodologies used in the supply chain and logistics research

H Jahani, R Jain, D Ivanov - Annals of Operations Research, 2023 - Springer
Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey

Y Song, FR Yu, L Zhou, X Yang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Logistics is a driver of countries' and firms' competitiveness and plays a vital role in
economic growth. However, the current logistics industry still faces high costs and low …

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

IM Cavalcante, EM Frazzon, FA Forcellini… - International Journal of …, 2019 - Elsevier
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …

[HTML][HTML] Industry 4.0 implementation: Environmental and social sustainability in manufacturing multinational enterprises

JJ Ferreira, JM Lopes, S Gomes, HG Rammal - Journal of Cleaner …, 2023 - Elsevier
By introducing digital technologies, Industry 4.0 may be transforming the traditional systems
of the manufacturing industries, which are often blamed for high environmental degradation …

Big data analytics in operations management

TM Choi, SW Wallace, Y Wang - Production and operations …, 2018 - journals.sagepub.com
Big data analytics is critical in modern operations management (OM). In this study, we first
explore the existing big data‐related analytics techniques, and identify their strengths …

Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda

CJC Jabbour, PDC Fiorini, NO Ndubisi… - Science of the total …, 2020 - Elsevier
While the potential benefits of integrating digital technologies and supply chain
management have been widely reported, less is known concerning the current state-of-the …

Linking big data analytics and operational sustainability practices for sustainable business management

RD Raut, SK Mangla, VS Narwane, BB Gardas… - Journal of cleaner …, 2019 - Elsevier
Big data analytics is becoming very popular concept in academia as well as in industry. It
has come up with new decision tools to design data-driven supply chains. The …

[HTML][HTML] The role of artificial intelligence in the procurement process: State of the art and research agenda

M Guida, F Caniato, A Moretto, S Ronchi - Journal of purchasing and …, 2023 - Elsevier
Artificial intelligence (AI) is widely adopted in many areas, but it is still in its infancy in
procurement, despite its potential. To map the state of the art of both research and practice …