Green supply chain innovation: Emergence, adoption, and challenges

Y Feng, K Lai, Q Zhu - International Journal of Production Economics, 2022 - Elsevier
Alongside many studies on greening efforts for supply chain activities, there is a research
gap in understanding the emergence and adoption of green supply chain innovation (GSCI) …

Big data analytics in supply chain management: A systematic literature review and research directions

I Lee, G Mangalaraj - Big data and cognitive computing, 2022 - mdpi.com
Big data analytics has been successfully used for various business functions, such as
accounting, marketing, supply chain, and operations. Currently, along with the recent …

How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?

S Mithas, ZL Chen, TJV Saldanha… - Production and …, 2022 - journals.sagepub.com
Emerging technologies such as artificial intelligence, blockchain, additive manufacturing,
advanced robotics, autonomous vehicles, and the Internet of Things are frequently …

Digital transformation for green supply chain innovation in manufacturing operations

K Lai, Y Feng, Q Zhu - Transportation Research Part E: Logistics and …, 2023 - Elsevier
In the digital era, green supply chain management (GSCM) is undergoing transformations
associated with innovation and performance improvements. Manufacturers adopt these …

Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions

D Kumar, RK Singh, R Mishra… - International Journal of …, 2024 - Taylor & Francis
Supply chain decarbonisation has become a strategic requirement in the era of a net-zero
economy. Despite the significant role of Big Data Analytics (BDA) in decarbonising the …

Supervised machine learning for theory building and testing: Opportunities in operations management

YC Chou, HHC Chuang, P Chou… - Journal of Operations …, 2023 - Wiley Online Library
Abstract Machine learning's (ML's) unique power to approximate functions and identify non‐
obvious regularities in data have attracted considerable attention from researchers in natural …

Risks to big data analytics and blockchain technology adoption in supply chains

VS Narwane, RD Raut, SK Mangla, M Dora… - Annals of Operations …, 2023 - Springer
Supply chains (SCs) are susceptible to risks because of their dynamic and complex nature.
Big data analytics (BDA) through blockchain technology (BCT) can significantly contribute to …

Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

WA Khan, HL Ma, X Ouyang, DY Mo - Transportation Research Part E …, 2021 - Elsevier
Accurate prediction of the aircraft trajectory and associated fuel consumption has become an
important research topic owing to the increasing importance of air traffic management …

A systematic review of artificial intelligence applied to facility management in the building information modeling context and future research directions

R Pedral Sampaio, A Aguiar Costa, I Flores-Colen - Buildings, 2022 - mdpi.com
Throughout the operation and maintenance (O&M) stage, facility management (FM) teams
collect and process data from different sources, often needing to be adequately considered …

Digital-enabled supply chain innovation and CO2 emissions: The contingent role of first-tier supplier's structural holes

X Wang, T Gong - Technological Forecasting and Social Change, 2024 - Elsevier
The literature on sustainable supply chains primarily delves into how lead firms manage the
CO 2 emissions of various tiers of their suppliers by employing market-oriented solutions like …