Role of Big Data Analytics in supply chain management: current trends and future perspectives

S Maheshwari, P Gautam, CK Jaggi - International Journal of …, 2021 - Taylor & Francis
It is a widely accepted fact that almost every research or business revolves around Data.
Data from various business sectors has been growing sharply and the management of this …

Sustainable manufacturing and industry 4.0: what we know and what we don't

R Sharma, CJC Jabbour… - Journal of Enterprise …, 2021 - emerald.com
Purpose The emergence the fourth industrial revolution, known as well as industry 4.0, and
its applications in the manufacturing sector ushered a new era for the business entities. It not …

A framework of digital technologies for the circular economy: Digital functions and mechanisms

Q Liu, AH Trevisan, M Yang… - Business Strategy and …, 2022 - Wiley Online Library
Digital technology is regarded as providing a promising means of moving production and
consumption towards the circular economy. However, it is still unclear which functions of …

Big data analytics adoption: Determinants and performances among small to medium-sized enterprises

P Maroufkhani, ML Tseng, M Iranmanesh… - International journal of …, 2020 - Elsevier
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …

Big data analytics in building the competitive intelligence of organizations

J Ranjan, C Foropon - International Journal of Information Management, 2021 - Elsevier
Over recent years, organizations have started to capitalize on the significant use of Big Data
and emerging technologies to analyze, and gain valuable insights linked to, decision …

Adoption of information and digital technologies for sustainable smart manufacturing systems for industry 4.0 in small, medium, and micro enterprises (SMMEs)

L Yang, H Zou, C Shang, X Ye, P Rani - Technological Forecasting and …, 2023 - Elsevier
An enterprise reference model in a conventional system paradigm guides users when
selecting manufacturing elements, configuring the required elements into a manufacturing …

Machine learning based digital twin framework for production optimization in petrochemical industry

Q Min, Y Lu, Z Liu, C Su, B Wang - International Journal of Information …, 2019 - Elsevier
Digital twins, along with the internet of things (IoT), data mining, and machine learning
technologies, offer great potential in the transformation of today's manufacturing paradigm …

The role of big data analytics in industrial Internet of Things

MH ur Rehman, I Yaqoob, K Salah, M Imran… - Future Generation …, 2019 - Elsevier
Big data production in industrial Internet of Things (IIoT) is evident due to the massive
deployment of sensors and Internet of Things (IoT) devices. However, big data processing is …

A survey towards an integration of big data analytics to big insights for value-creation

MK Saggi, S Jain - Information Processing & Management, 2018 - Elsevier
Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

Big data analytics in supply chain management: A state-of-the-art literature review

T Nguyen, Z Li, V Spiegler, P Ieromonachou… - Computers & operations …, 2018 - Elsevier
The rapidly growing interest from both academics and practitioners in the application of big
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …