Role of analytics for operational risk management in the era of big data

OM Araz, TM Choi, DL Olson, FS Salman - Decision Sciences, 2020 - Wiley Online Library
Operational risk management (ORM) is critical for any organization, and in the big data era,
analytical tools for operational risk management are evolving faster than ever. This paper …

Digital supply chain to unlock new agility: a TISM approach

A Choudhury, A Behl, PA Sheorey… - … : an international journal, 2021 - emerald.com
Purpose Traditional supply chain arrangements have failed to keep up with escalating
customer demands and breakthrough innovations. The way forward is a flexible yet …

Mediating effect of industry 4.0 technologies on the supply chain management practices and supply chain performance

V Sharma, RD Raut, M Hajiaghaei-Keshteli… - Journal of …, 2022 - Elsevier
The ever-growing concern of sustainability and survivability attracts academicians and
practitioners to develop strategies and supply chain capabilities that cater to the challenges …

Big data meets metaverse: A survey

J Sun, W Gan, Z Chen, J Li, PS Yu - arXiv preprint arXiv:2210.16282, 2022 - arxiv.org
We are living in the era of big data. The Metaverse is an emerging technology in the future,
and it has a combination of big data, AI (artificial intelligence), VR (Virtual Reality), AR …

An integrated smart, green, resilient, and lean manufacturing framework: A literature review and future research directions

FE Touriki, I Benkhati, SS Kamble, A Belhadi - Journal of Cleaner …, 2021 - Elsevier
Today, manufacturers are under pressure to manage their activities and resources more
efficiently while maximizing profitability. At the same time, they are required to minimize the …

When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?

TM Choi, S Guo, S Luo - Transportation Research Part E: Logistics and …, 2020 - Elsevier
Social media analytics is very critical in modern supply chain operations management
(SCOM). However, in terms of methods, conducting social media analytics (SMA) for SCOM …

The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain

W Liu, X Yan, X Li, W Wei - Transportation Research Part E: Logistics and …, 2020 - Elsevier
This study investigates a platform's preferences between agency selling and reselling
considering the impact of data-driven marketing (DDM). Four models are built: No-DDM+ …

[HTML][HTML] Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance

D de Oliveira-Dias, JM Maqueira-Marin… - International Journal of …, 2023 - Elsevier
Abstract The adoption of Industry 4.0 (I4. 0) technologies in recent years has generated
conditions for substantial changes in supply chain management. However, research is still …

The impact of digitalization and inter-organizational technological activities on supplier opportunism: the moderating role of relational ties

L Yang, B Huo, M Tian, Z Han - International Journal of Operations & …, 2021 - emerald.com
Purpose Digitalization encourages the manufacturer to engage in inter-organizational
technological activities (ie supplier IT integration and supply visibility) with its major supplier …

Demand forecasting with supply‐chain information and machine learning: Evidence in the pharmaceutical industry

X Zhu, A Ninh, H Zhao, Z Liu - Production and Operations …, 2021 - journals.sagepub.com
Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …