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 …

Marketing analytics: The bridge between customer psychology and marketing decision‐making

R Basu, WM Lim, A Kumar, S Kumar - Psychology & Marketing, 2023 - Wiley Online Library
As modern marketing environments become increasingly data‐intensive, the role of
marketing analytics in illuminating the dynamics of customer psychology to inform marketing …

[HTML][HTML] Prescriptive analytics: Literature review and research challenges

K Lepenioti, A Bousdekis, D Apostolou… - International Journal of …, 2020 - Elsevier
Business analytics aims to enable organizations to make quicker, better, and more
intelligent decisions with the aim to create business value. To date, the major focus in the …

[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 …

Achieving superior organizational performance via big data predictive analytics: A dynamic capability view

S Gupta, VA Drave, YK Dwivedi, AM Baabdullah… - Industrial Marketing …, 2020 - Elsevier
The art of unwinding voluminous data expects the expertise in analyzing meaningful
decisions out of the acquired information. To encounter new age challenges, practitioners …

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 …

Big data and predictive analytics for supply chain and organizational performance

A Gunasekaran, T Papadopoulos, R Dubey… - Journal of Business …, 2017 - Elsevier
Scholars acknowledge the importance of big data and predictive analytics (BDPA) in
achieving business value and firm performance. However, the impact of BDPA assimilation …

Can big data and predictive analytics improve social and environmental sustainability?

R Dubey, A Gunasekaran, SJ Childe… - … forecasting and social …, 2019 - Elsevier
Although literature indicates that big data and predictive analytics (BDPA) convey a distinct
organisational capability, little is known about their performance effects in particular …

Understanding the determinants of big data analytics (BDA) adoption in logistics and supply chain management: An empirical investigation

Y Lai, H Sun, J Ren - The International Journal of Logistics …, 2018 - emerald.com
Purpose Based on previous literature on big data analytics (BDA) and supply chain (SC)
management, the purpose of this paper is to address the factors determining firms' intention …

Current landscape and influence of big data on finance

MM Hasan, J Popp, J Oláh - Journal of Big Data, 2020 - Springer
Big data is one of the most recent business and technical issues in the age of technology.
Hundreds of millions of events occur every day. The financial field is deeply involved in the …