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 …

Pandemic, war, natural calamities, and sustainability: Industry 4.0 technologies to overcome traditional and contemporary supply chain challenges

A Raja Santhi, P Muthuswamy - Logistics, 2022 - mdpi.com
Background: The supply chain ecosystem is becoming fragile and difficult to manage due to
the complexities in its interlinked functions such as planning, procurement, production …

Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework …

D Kumar, RK Singh, R Mishra, TU Daim - Technological Forecasting and …, 2023 - Elsevier
Abstract Blockchain and Internet of Things (IoT) technologies have considerable potential to
achieve sustainability in logistics and supply chain management. However, the integration of …

RFID-integrated blockchain-driven circular supply chain management: A system architecture for B2B tea industry

T Paul, N Islam, S Mondal, S Rakshit - Industrial Marketing Management, 2022 - Elsevier
Circular supply chain management (CSCM) is required for the tea industry to transition from
a linear economic model to a more productive circular economic model. However, tracking …

Big data analytics in mitigating challenges of sustainable manufacturing supply chain

R Raj, V Kumar, P Verma - Operations Management Research, 2023 - Springer
Abstract Manufacturing Supply Chain (MSC) becomes more complex not only from the
business viewpoint but also for environmental care and sustainability. Despite the current …

[HTML][HTML] Role of lean, agile, resilient, green, and sustainable paradigm in supplier selection

H Sonar, A Gunasekaran, S Agrawal, M Roy - Cleaner Logistics and Supply …, 2022 - Elsevier
During the new COVID-19 outbreak, companies are looking to sourcing leaders to assist
them diversify their supply base and prepare for a number of situations. In recent days, the …

Determining the factors influencing business analytics adoption at organizational level: a systematic literature review

OM Horani, A Khatibi, AR Al-Soud, J Tham… - Big Data and Cognitive …, 2023 - mdpi.com
The adoption of business analytics (BA) has become increasingly important for
organizations seeking to gain a competitive edge in today's data-driven business landscape …

Analysis of the challenges for blockchain technology adoption in the Indian health-care sector

S Dhingra, R Raut, A Gunasekaran… - Journal of Modelling in …, 2024 - emerald.com
Purpose This paper aims to discover and analyze the challenges hampering blockchain
technology's (BT's) implementation in the Indian health-care sector. A total of 18 challenges …

Edge computing data optimization for smart quality management: Industry 5.0 perspective

B Bajic, N Suzic, S Moraca, M Stefanović, M Jovicic… - Sustainability, 2023 - mdpi.com
In the last decade, researchers have focused on digital technologies within Industry 4.0.
However, it seems the Industry 4.0 hype did not fulfil industry expectations due to many …

Impact pathways of emerging ITs to mitigate supply chain vulnerability: A novel DEMATEL-ISM approach based on grounded theory

X Guo, Z Yang, J Sun, Y Zhang - Expert Systems with Applications, 2024 - Elsevier
Enterprises leverage emerging ITs like big data analytics, the Internet of Things, and
blockchain to enhance the resilience of their supply chains in volatile environments …