Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

SS Kamble, A Gunasekaran, SA Gawankar - International Journal of …, 2020 - Elsevier
The lack of industrialization, inadequacy of the management, information inaccuracy, and
inefficient supply chains are the significant issues in an agri-food supply chain. The …

[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 …

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 …

An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia

JL Hopkins - Computers in Industry, 2021 - Elsevier
As supply chains recover from the impact of COVID-19, a sudden acceleration of interest in
digitalization and automation is expected, as firms increasingly look towards digital …

Internet of things, big data analytics and operational performance: the mediating effect of supply chain visibility

AW Al-Khatib - Journal of Manufacturing Technology Management, 2023 - emerald.com
Purpose This paper aims to investigate hypothesized relationships between the Internet of
things (IoT) and big data analytics (BDA) with supply chain visibility (SCV) and operational …

Big Data in operations and supply chain management: a systematic literature review and future research agenda

S Talwar, P Kaur, S Fosso Wamba… - International Journal of …, 2021 - Taylor & Francis
In the era of digitalisation, the role of Big Data is proliferating, receiving considerable
attention in all sectors and domains. The domain of operations and supply chain …

Big data-driven supply chain performance measurement system: a review and framework for implementation

SS Kamble, A Gunasekaran - International journal of production …, 2020 - Taylor & Francis
Performance measures and metrics (PMM) is identified to be an essential aspect of
managing diverse supply chains. The PMM improves the firm's performance by providing …

Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society

NJ Ogbuke, YY Yusuf, K Dharma… - Production Planning & …, 2022 - Taylor & Francis
This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …

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 …

The impact of using digital technologies on supply chain resilience and robustness: the role of memory under the covid-19 outbreak

MZ Alvarenga, MPV Oliveira… - … Chain Management: An …, 2023 - emerald.com
Purpose This paper's main aim is to check the mediating effect of supply chain memory in
the relationship between using digital technologies and both supply chain resilience and …