Topical Collection "Supply Chain Management"

Editors

Prof. Dr. Virgilio Cruz-Machado
E-Mail Website
Collection Editor
Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 1099-085 Lisboa, Portugal
Interests: supply chain management
Prof. Dr. Helena Carvalho
E-Mail Website
Collection Editor
UNIDEMI, Department of Mechanical and Industrial Engineering, Faculty of Science and Technology, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
Interests: supply chain; sustainability; circular economy; industrial symbiosis; eco-innovation
Special Issues and Collections in MDPI journals

Topical Collection Information

Dear Colleagues,

Supply chain management has become a topic of very active research in operationsmanagements over the last few decades. Presently, research needs to provide ways to complement traditional approaches in terms of robust alternatives for development and innovation delivery. The field has expanded, with important advances in management paradigms (e.g., LARG—Lean, Agile, Resilient and Green), digitalization (e.g., Internet of Things and Block Chains), business models forcircular economy, sustainability and corporate responsibility, among others. This Topical Collection aims at collecting a number of new contributions, both at the theoretical level, as well as in terms of applications, to provide directions in which novel ideas might be applied in the context of supply chain management.

Prof. Dr. Virgilio Cruz-Machado
Prof. Dr. Helena Carvalho
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

  • LARGLean, Agile, Resilient and Green
  • Digitalization
  • Business models
  • Circular economy
  • Innovation

Published Papers (3 papers)

2020

Jump to: 2018

Article
Influence of Organisational Culture on Supply Chain Resilience: A Power and Situational Strength Conceptual Perspective
J. Risk Financial Manag. 2020, 13(7), 147; https://doi.org/10.3390/jrfm13070147 - 07 Jul 2020
Viewed by 957
Abstract
The purpose of this paper is to explore how organisational culture, represented by the competing values framework (CVF), and the relationship mechanisms of situational strength and power influence an organisation’s approach to supply chain resilience (SCRES). This is a conceptual paper which uses [...] Read more.
The purpose of this paper is to explore how organisational culture, represented by the competing values framework (CVF), and the relationship mechanisms of situational strength and power influence an organisation’s approach to supply chain resilience (SCRES). This is a conceptual paper which uses a multi-theoretical approach to create a framework outlining how organisations which possess different characteristics of culture within the CVF will work to achieve SCRES. Secondary analysis of four case examples as discussed in the supply chain and resilience literature are then used to support the development of propositions from this framework in more detail. The paper suggests that ‘flexibility focused’ cultures will create weaker situational strengths for supply chain partners when managing disruptions, while ‘stability focused’ cultures will create stronger situational strengths in the same scenarios. ‘Internally focused’ cultures may use coercive power with supply chain partners when managing disruptions, while ‘externally focused’ cultures will prefer non-coercive power in the same scenarios. The four case studies from the literature highlight that each type of culture within the CVF can enable an organisation to achieve SCRES. The practical implications of the findings are that managers should take into consideration how their organisation’s culture will influence their relationships with supply chain partners, depending on their application of power and situational strength. However, future research is required to empirically test the propositions. Full article
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2018

Jump to: 2020

Article
Identification of Core Suppliers Based on E-Invoice Data Using Supervised Machine Learning
J. Risk Financial Manag. 2018, 11(4), 70; https://doi.org/10.3390/jrfm11040070 - 26 Oct 2018
Viewed by 1301
Abstract
Since not all suppliers are to be managed in the same way, a purchasing strategy requires proper supplier segmentation so that the most suitable strategies can be used for different segments. Most existing methods for supplier segmentation, however, either depend on subjective judgements [...] Read more.
Since not all suppliers are to be managed in the same way, a purchasing strategy requires proper supplier segmentation so that the most suitable strategies can be used for different segments. Most existing methods for supplier segmentation, however, either depend on subjective judgements or require significant efforts. To overcome the limitations, this paper proposes a novel approach for supplier segmentation. The objective of this paper is to develop an automated and effective way to identify core suppliers, whose profit impact on a buyer is significant. To achieve this objective, the application of a supervised machine learning technique, Random Forests (RF), to e-invoice data is proposed. To validate the effectiveness, the proposed method has been applied to real e-invoice data obtained from an automobile parts manufacturer. Results of high accuracy and the area under the curve (AUC) attest to the applicability of our approach. Our method is envisioned to be of value for automating the identification of core suppliers. The main benefits of the proposed approach include the enhanced efficiency of supplier segmentation procedures. Besides, by utilizing a machine learning method to e-invoice data, our method results in more reliable segmentation in terms of selecting and weighting variables. Full article
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Article
Market Reactions to Supply Chain Management Excellence
by and
J. Risk Financial Manag. 2018, 11(4), 62; https://doi.org/10.3390/jrfm11040062 - 12 Oct 2018
Cited by 1 | Viewed by 1366
Abstract
A highly-respected public recognition of supply chain management (SCM) excellence is the Supply Chain Top 25 List, published annually by AMR Research. By employing event study method, this study extensively examined stock market reactions to annual announcements of the AMR Supply Chain Top [...] Read more.
A highly-respected public recognition of supply chain management (SCM) excellence is the Supply Chain Top 25 List, published annually by AMR Research. By employing event study method, this study extensively examined stock market reactions to annual announcements of the AMR Supply Chain Top 25 List, under various market scenarios. The results showed that SCM leading firms consistently outperform market portfolios around annual press-release dates. The mean abnormal returns observed in the event window (0, +1) were positive and statistically significant. In addition, the findings were robust across different estimation models and various market indexes adopted in the event study. At the same time, it is worth noting that the event effect on market performance was temporary and diminished within 5 trading days. This study makes contributions to the growing body of knowledge on the strategic values of firm reputation in general, and for SCM excellence in particular. Full article
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