Assessing supply chain risk for apparel production in low cost countries using newsfeed analysis

R Handfield, H Sun, L Rothenberg - Supply Chain Management: An …, 2020 - emerald.com
Purpose With the growth of unstructured data, opportunities to generate insights into supply
chain risks in low cost countries (LCCs) are emerging. Sourcing risk has primarily focused …

Perspectives in supply chain risk management

CS Tang - International journal of production economics, 2006 - Elsevier
To gain cost advantage and market share, many firms implemented various initiatives such
as outsourced manufacturing and product variety. These initiatives are effective in a stable …

Supply chain risk management

Y Khojasteh - Advanced tools, models, and developments, 2018 - Springer
Supply chains today are vulnerable to disruptions with a significant impact on firms' business
and performance. The aim of supply chain risk management is to identify the potential …

[HTML][HTML] Supply chain risk management: A content analysis-based review of existing and emerging topics

A Emrouznejad, S Abbasi, Ç Sıcakyüz - Supply Chain Analytics, 2023 - Elsevier
This paper presents a systematic review of the literature on Supply Chain Risk (SCR)
research, focusing on content-based analysis. The study comprehensively examines the …

Quantitative models for managing supply chain risks: A review

B Fahimnia, CS Tang, H Davarzani, J Sarkis - European journal of …, 2015 - Elsevier
As supply chain risk management has transitioned from an emerging topic to a growing
research area, there is a need to classify different types of research and examine the …

A survey on the suitability of risk identification techniques in the current networked environment

H Aboutorab, OK Hussain, M Saberi, FK Hussain… - Journal of Network and …, 2021 - Elsevier
Risk management is a necessary consideration in any decision-making activity. In global
supply chains that are increasingly becoming internetworked and data-centric, risk …

Supply chain risk management and artificial intelligence: state of the art and future research directions

G Baryannis, S Validi, S Dani… - International journal of …, 2019 - Taylor & Francis
Supply chain risk management (SCRM) encompasses a wide variety of strategies aiming to
identify, assess, mitigate and monitor unexpected events or conditions which might have an …

Categorizing supply chain risks: review, integrated typology and future research

M Louis, M Pagell - Revisiting supply chain risk, 2019 - Springer
Nowadays, supply chains operate in a dynamic environment where a potential unwanted
event that does not constitute a risk today may be a severe risk tomorrow. Recent events …

Utilizing big data and predictive analytics to manage supply chain risk

GL Schlegel - The Journal of Business Forecasting, 2014 - search.proquest.com
With our new norms in Operations Management, including globalization of our supply
chains, increasing demand and supply uncertainty, and supply chain network complexity …

A systematic investigation of the integration of machine learning into supply chain risk management

M Schroeder, S Lodemann - Logistics, 2021 - mdpi.com
The main objective of the paper is to analyze and synthesize existing scientific literature
related to supply chain areas where machine learning (ML) has already been implemented …