A mini-review of machine learning in big data analytics: Applications, challenges, and prospects

IK Nti, JA Quarcoo, J Aning… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

[HTML][HTML] Big data stream analysis: a systematic literature review

T Kolajo, O Daramola, A Adebiyi - Journal of Big Data, 2019 - Springer
Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …

The challenges and countermeasures of blockchain in finance and economics

L Zhang, Y Xie, Y Zheng, W Xue… - Systems Research …, 2020 - Wiley Online Library
As a new technology, blockchain can be used to analyse and process the data through the
effective integration of financial resources. New financial formats or service models are …

[HTML][HTML] State-of-the-art of artificial intelligence and big data analytics reviews in five different domains: a bibliometric summary

PV Thayyib, R Mamilla, M Khan, H Fatima, M Asim… - Sustainability, 2023 - mdpi.com
Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

Decoding the data economy: a literature review of its impact on business, society and digital transformation

A Sestino, A Kahlawi, A De Mauro - European Journal of Innovation …, 2023 - emerald.com
Purpose The data economy, emerging from the current hyper-technological landscape, is a
global digital ecosystem where data is gathered, organized and exchanged to create …

An ROI-based review of HR analytics: practical implementation tools

H Chalutz Ben-Gal - Personnel Review, 2019 - emerald.com
Purpose The purpose of this paper is to provide a return on investment (ROI) based review
of human resources (HR) analytics. The objectives of this paper are twofold: first, to offer an …

A big data driven analytical framework for energy-intensive manufacturing industries

Y Zhang, S Ma, H Yang, J Lv, Y Liu - Journal of Cleaner Production, 2018 - Elsevier
Energy-intensive industries account for almost 51% of energy consumption in China. A
continuous improvement in energy efficiency is important for energy-intensive industries …

Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model

S Chehbi-Gamoura, R Derrouiche… - … Planning & Control, 2020 - Taylor & Francis
When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …

Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan

AW Al-Khatib - EuroMed Journal of Business, 2022 - emerald.com
Purpose The purpose of this study is to identify the impact of intellectual capital on the
innovation performance of the Jordanian banking sector and identify the moderating role of …

Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia

EM Ghazali, DS Mutum, JH Chong… - Asia Pacific Journal of …, 2018 - emerald.com
Purpose Mobile shopping is expected to emerge as a new way of shopping as the Asia
Pacific region moves towards the digital era. It is important to understand factors that …