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Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA)
Purpose The purpose of this paper is to identify and discuss the most important research
areas on information sharing in supply chains and related risks, taking into account their …
areas on information sharing in supply chains and related risks, taking into account their …
Managing supply chain resources with Big Data Analytics: a systematic review
ABSTRACT Big Data Analytics (BDA) has the potential to improve demand forecasting,
communications and better manage supply chain resources. Despite such recognised …
communications and better manage supply chain resources. Despite such recognised …
Develo** a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic
The pandemic has created a restrictive working system including remote working, and
flexible hours for the firms and employees all around the globe, thus transforming into a …
flexible hours for the firms and employees all around the globe, thus transforming into a …
Impact of the US–China trade war on the operating performance of US firms: The role of outsourcing and supply base complexity
Multinational corporations have benefited tremendously from free trade in the past few
decades. However, the dynamism of international relations, paired with the global recession …
decades. However, the dynamism of international relations, paired with the global recession …
Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects
Purpose Coronavirus disease 2019 (COVID-19) has disrupted global supply chains,
revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle …
revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle …
A big data driven framework for demand-driven forecasting with effects of marketing-mix variables
This study aims to investigate the contributions of promotional marketing activities, historical
demand and other factors to predict, and develop a big data-driven fuzzy classifier-based …
demand and other factors to predict, and develop a big data-driven fuzzy classifier-based …
Analysis of factors impacting survivability of sustainable supply chain during COVID-19 pandemic: an empirical study in the context of SMEs
Purpose Nowadays, many firms are finding ways to enhance the survivability of sustainable
supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of …
supply chains (SUSSCs). The present study aims to develop a model for the SUSSCs of …
Similarities and contrasts of complexity, uncertainty, risks, and resilience in supply chains and temporary multi-organization projects
Although complexity, uncertainty, risk, and resilience are concepts of growing interest, there
is a lack of structured synthesis of these concepts and their relationships in supply chain …
is a lack of structured synthesis of these concepts and their relationships in supply chain …
Improving of supply chain collaboration and performance by using block chain technology as a mediating role and resilience as a moderating variable
The lack of collaboration among the members of the supply chain is one of the main reasons
for the functional weakness of a supply chain. In today's innovative world, organizations …
for the functional weakness of a supply chain. In today's innovative world, organizations …
Cluster-based hierarchical demand forecasting for perishable goods
Demand forecasting is of particular importance for retailers in the context of supply chains of
perishable goods and fresh food. Such goods are daily produced and delivered as they …
perishable goods and fresh food. Such goods are daily produced and delivered as they …