A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks

Chu, Chih-Yuan; Park, Kijung; Kremer, Gül E.

doi:10.1016/j.aei.2020.101053

Cited by 84 publications

(35 citation statements)

References 52 publications

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“…e current market competition is a more direct competition between supply chains, especially the global supply chain competition has become a consensus [31]. However, the current supply chain risk evaluation and management are mainly concentrated in the manufacturing supply chain or the domestic supply chain field, and there are relatively few studies on the supply chain risk management issues of the cross-border e-commerce industry.…”

Section: Review Of Literaturesmentioning

confidence: 99%

Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model

Fang

Wang

2021

Security and Communication Networks

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As a main new business model of Internet plus foreign trade, cross-border e-commerce has become an important way and breakthrough for China creating new foreign trade requirements in Internet economy. Cross-border supply chain management is one of the most important supports for cross-border e-commerce. Compared with domestic e-commerce, the supply chain of cross-border e-commerce faces more risks. In order to effectively identify and avoid the operational risks in the cross-border e-commerce supply chain, this article firstly analyzes the cross-border e-commerce supply chain risks from the operation process of the cross-border e-commerce supply chain. The risks include product selection management risks, cross-border transaction risks, and customs clearance risks that exist in the operation of cross-border e-commerce. Secondly, the cross-border e-commerce supply chain risk evaluation index system is established based on the risk elements. Finally, the risk evaluation is carried out through the FUZZY-ISM evaluation method, and the internal connection of each risk factor and the risk generation mechanism are revealed through structural model analysis, which provides a theoretical reference for cross-border e-commerce enterprise supply chain risk management.

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Section: Review Of Literaturesmentioning

confidence: 99%

Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model

Fang

Wang

2021

Security and Communication Networks

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“…At the same time, global resource use and pressure on the environment are constantly increasing [1][2][3]. During the coronavirus pandemic, a number of previous challenges have come to the fore, among others: the complexity of international supply chains; the crossborder dependency system as a risk factor; the opacity of supply chains; unexpected crises; developments in international trade policy trends; political factors; promoting environmental and social responsibility; the expectations of some multinational companies towards partners or even countries; cultural differences [4][5][6][7][8].…”

Section: The Role Of Global and Local Trends In World Economic Processesmentioning

confidence: 99%

Development of the Concept of Circular Supply Chain Management—A Systematic Review

et al. 2021

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This systematic review presents the most important characteristics and trends of research in circular supply chain management (CSCM), taking into account the impact of COVID. In addition, the similarities and differences between the basic concepts often used as synonyms for sustainability are also presented. First, the sample database (39,000 records) was based on a search containing publications’ titles regarding supply chain management (SCM). After narrowing the topic from SCM towards CSCM, the considered paper characteristics were expanded, including abstract and author keywords, to get a manageable number of samples for the systematic analysis (6095 documents) and the most accurate results possible. The analysis’ base sample was divided into two periods (before and after 2012) due to a significant increase and change in the number of publications, their subject, characteristic journals and geographical location. Sustainability has emerged since 2012, while a circular approach emerged after 2017 with a significant share of research, mainly thanks to relevant EU policies. Although the role of the US has been decisive in the field, the European research bases of previous years have increasingly been replaced by Far Eastern dominance. Currently, CSCM’s most important journal is the International Journal of Supply Chain Management (Elsevier), but most articles on the impact of COVID have been published in Sustainability (MDPI). More effective policy implementation and the fight against COVID in the development of supply chains are also likely to spread the circular economic model in the future.

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“…Kim et al [9] explored sustainable supply chain management trends and firms' strategic positioning and execution based on news articles and sustainability reports with text-mining algorithms. Chu et al [10] proposed a text-mining-based global supply chain risk management framework to identify region-specific supply chain risks. Chircu et al [11] presented research examining the use of business analytics, big data, and business intelligence methods in operations and supply chain management by analyzed 625 published papers with text mining.…”

Section: Supply Chain Management and Enterprises' Technological Innovationmentioning

confidence: 99%

Knowledge organization of node enterprises’ technological innovation under supply chain environment

Zhang

2021

Complex Intell. Syst.

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An improved text classification method based on domain ontology is proposed in this paper to organize the mass information that records node enterprises’ innovation activities under the supply chain environment. This method can classify the documents of node enterprises under the supply chain without a training set. It achieves a precision of 80% for documents’ classification, which outperforms the baseline method. Besides, the paper constructs a domain ontology of enterprises’ technological innovation under the supply chain that effectively enhances the semantic relationship between words. Therefore, it can summarize and classify the textual information generated by node enterprises in product design, production, storage, logistics, and sales.

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A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks

Cited by 84 publications

References 52 publications

Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model

Cross-Border E-Commerce Supply Chain Risk Evaluation with FUZZY-ISM Model

Development of the Concept of Circular Supply Chain Management—A Systematic Review

Knowledge organization of node enterprises’ technological innovation under supply chain environment

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