Reshoring concepts: definitions and a structured bibliometric review DOI Creative Commons

Muhammad Rawish Siddiqui,

Waqas Khalid, Muhammad Arsalan

et al.

Modern Supply Chain Research and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

Purpose The aim of this paper is to clearly mark the clusters in related literature using bibliometric analysis and draw useful implications for academic research purposes especially stream Supply Chain Management (SCM). Design/methodology/approach By employing rigorous selection criteria, sample articles were selected synthesizing conducting a analysis. This tries identify significance concept reshoring with aspect SCM, operations, logistics etc. Starting from selection, systematic criteria has been used generate database, Scopus. size was 184. Using VOSViewer, statistical graphical representations generated that will be judging trends under shoring concepts. Findings show unclear difference compared other supply chain concepts obstructs further theory development within To address challenge, review categorizes themes defines boundaries. Based on findings, advocates additional areas are crucial but have received limited or no attention. Specifically, there need action motivations, governance modes, location concerning decisions. Research limitations/implications few limitations. absence publications language, than English, may result significant loss knowledge. cited relevant form conference papers, industry reports, books, book chapters. Nonetheless, they excluded organized audit. advance knowledge field, exploratory longitudinal case studies bring focus changes manufacturing strategies stages. Practical A current example French company named Stil (Terzian, 2020) which brought its glass thermometer production back home after unexpected closure suppliers China. Another Italian firm restarted disposal bio-degradable face masks 15 years compete low-cost alternatives China (Greco, 2020). Reshoring now consideration organizations including Boeing, Bosch, Phillips more. Originality/value best our knowledge, represents one earliest efforts conceptualize define concepts, aiming distinguish them another appropriately. accomplish this, earlier demarcated precede section’s classification illustrated Table 8. synthesis definitions thematic above, we concluded emerging field. It intended contribute practitioner support decisions by clarifying dimensions.

Language: Английский

The Role of Business Environment and Digital Government in Mitigating Supply Chain Vulnerability—Evidence from the COVID-19 Shock DOI Open Access
Huimin Liu, Yupeng Shi,

Xuze Yang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(3), P. 2323 - 2323

Published: Jan. 27, 2023

In recent years, the continuous spread of COVID-19 epidemic has impacted supply chain enterprises. Mitigating chain’s vulnerability great significance for survival and development Optimizing business environment building a digital government will help improve external enterprise development. However, its impact on yet to be studied. Taking as an example, this paper uses survey data nearly 40,000 enterprises National Federation Industry Commerce in 2020 “10,000 private evaluating environment”, conduct systematic empirical research fill gap area. The study indicates that can significantly mitigate chain. This conclusion is still valid after series robustness tests. Mechanism analysis demonstrates prompt introduce effective mitigation measures promptly, better guarantee production factors logistics, thus deepens our understanding economic outcome also sheds new light management.

Language: Английский

Citations

5
Digital Transformation of Supply Chain Management - Challenges and Strategies for Successfully Implementing Data Analytics in Practice DOI
Patrick Brandtner

Published: May 28, 2024

Language: Английский

Citations

1
An Offline Digital Twin for Resilience and Supplier Reliability in Perishable Food Supply Chains DOI Open Access

Pranav Sanjay Sutar,

Jessica Olivares-Aguila, Alejandro Vital-Soto

et al.

Published: Nov. 14, 2023

Supply chain resilience and supplier reliability are crucial for highly perishable agricultural goods.The disruptions in these supply chains can severely affect goods, leading to revenue loss.This research proposes an approach that integrates iterative simulation machine learning techniques assess the chain's resiliency predict supplier's strawberry chain.The methodology begins by generating data involved entities replicate real-world dynamics.A discrete-event environment helps modeling intricate interactions, capturing time-dependent events, evaluating impact of a controlled virtual environment.The model forecasts scores, introducing dynamism uncertainty into simulation.The is trained learning, training, multiple classifiers, such as XGBoost, Random Forest, SVM, Logistic Regression, KNN, Naive Bayes, Decision Tree, predictive comparative performance.Sensitivity analysis conducted test robustness varying input parameters.Integrating this with product enhances decisionmaking, enabling proactive measures be taken response potential shutdowns.The proposed provides comprehensive practical solution improving managing chain.Integrating decision-makers optimize operations mitigate disruptions, benefiting entire food ecosystem.Hence, offers valuable insights goods reliability.The findings help devise strategies timely choices sustain robust reliable chain.

Language: Английский

Citations

1
Reshoring concepts: definitions and a structured bibliometric review DOI Creative Commons

Muhammad Rawish Siddiqui,

Waqas Khalid, Muhammad Arsalan

et al.

Modern Supply Chain Research and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

Purpose The aim of this paper is to clearly mark the clusters in related literature using bibliometric analysis and draw useful implications for academic research purposes especially stream Supply Chain Management (SCM). Design/methodology/approach By employing rigorous selection criteria, sample articles were selected synthesizing conducting a analysis. This tries identify significance concept reshoring with aspect SCM, operations, logistics etc. Starting from selection, systematic criteria has been used generate database, Scopus. size was 184. Using VOSViewer, statistical graphical representations generated that will be judging trends under shoring concepts. Findings show unclear difference compared other supply chain concepts obstructs further theory development within To address challenge, review categorizes themes defines boundaries. Based on findings, advocates additional areas are crucial but have received limited or no attention. Specifically, there need action motivations, governance modes, location concerning decisions. Research limitations/implications few limitations. absence publications language, than English, may result significant loss knowledge. cited relevant form conference papers, industry reports, books, book chapters. Nonetheless, they excluded organized audit. advance knowledge field, exploratory longitudinal case studies bring focus changes manufacturing strategies stages. Practical A current example French company named Stil (Terzian, 2020) which brought its glass thermometer production back home after unexpected closure suppliers China. Another Italian firm restarted disposal bio-degradable face masks 15 years compete low-cost alternatives China (Greco, 2020). Reshoring now consideration organizations including Boeing, Bosch, Phillips more. Originality/value best our knowledge, represents one earliest efforts conceptualize define concepts, aiming distinguish them another appropriately. accomplish this, earlier demarcated precede section’s classification illustrated Table 8. synthesis definitions thematic above, we concluded emerging field. It intended contribute practitioner support decisions by clarifying dimensions.

Language: Английский

Citations

0