Purpose – The purpose of this paper is to show that market dynamics can significantly influence the lifecycle and value of a supply chain finance (SCF) arrangement. Design/methodology/approach – Based on a review of scientific and trade literature, the authors construct a model of market dynamics for reverse factoring, a specific type of SCF arrangement. The authors assume that firms’ participation in a reverse factoring arrangement is determined by the direct benefits they can derive from it. The authors analyse the model by means of simulation in system dynamics. Findings – The authors identify the following market factors as key for direct benefits: competition, interest rates, receivables volumes, and firms’ working capital goals. The authors find that reverse factoring can yield direct benefits for all supply chain participants, but that these benefits are highly sensitive to market conditions. Research limitations/implications – The model is stylized, but this study shows the need for further research on the dynamic aspects of SCF arrangements. Practical implications – The authors show that supply chain actors should carefully consider the expected evolution of market factors when deciding on participation in a reverse factoring arrangement. Originality/value – Existing research on SCF arrangements almost exclusively considers a static context, where market factors take fixed, known values. The authors provide the first study that links the direct benefits of SCF arrangements to dynamic, interacting market factors. The authors utilize system dynamics, a methodology well-suited to the analysis of such settings, to show that a comprehensive assessment of SCF arrangements cannot neglect the evolutionary perspective.
Background: The latest Liver Imaging Reporting and Data System (LI-RADS) classification by the American College of Radiology has been recently endorsed in the American Association for the Study of Liver Disease (AASLD) guidelines for Hepatocellular carcinoma (HCC) management. Although the LI-RADS protocol has been developed as a diagnostic algorithm, there is some evidence concerning a possible correlation between different LI-RADS classes and specific pathological features of HCC. We aimed to investigate such radiological/pathological correlation and the possible prognostic implication of LI-RADS on a retrospective cohort of HCC patients undergoing surgical resection. Methods: We performed a retrospective analysis of the pathological characteristics of resected HCC, exploring their distribution among different LI-RADS classes and analyzing the risk factors for recurrence-free, overall and cancer-specific survival Results: LI-RADS-5 (LR-5) nodules showed a higher prevalence of microvascular invasion (MVI), satellitosis and capsule infiltration, as well as higher median values of alpha-fetoprotein (αFP) compared to LI-RADS-3/4 (LR-3/4) nodules. MVI, αFP, satellitosis and margin-positive (R1) resection resulted as independent risk factors for recurrence-free survival, while LI-RADS class did not exert any significant impact. Focusing on overall survival, we identified patient age, Eastern Cooperative Oncology Group performance status (ECOG-PS), Model for End Stage Liver Disease (MELD) score, αFP, MVI, satellitosis and R1 resection as independent risk factors for survival, without any impact of LI-RADS classification. Last, MELD score, log10αFP, satellitosis and R1 resection resulted as independent risk factors for cancer-specific survival, while LI-RADS class did not exert any significant impact. Conclusions: Our results suggest an association of LR-5 class with unfavorable pathological characteristics of resected HCC; tumor histology and underlying patient characteristics such as age, ECOG-PS and liver disease severity exert a significant impact on postoperative oncological outcomes.
In 2020, the emergency due to the COVID-19 pandemic brought a drastic and sudden change in teaching practices, from the physical space of the classrooms to the virtual space of an e-environment. In this paper, through a qualitative analysis of 44 collected essays composed by Italian mathematics teachers from primary school to undergraduate level during the spring of 2020, we investigate how the Italian teachers perceived the changes due to the unexpected transition from a face-to-face setting to distance education. The analysis is carried out through a double theoretical lens, one concerning the whole didactic system where the knowledge at stake is mathematics and the other regarding affective aspects. The integration of the two theoretical perspectives allows us to identify key elements and their relations in the teachers’ narratives and to analyze how teachers have experienced and perceived the dramatic, drastic, and sudden change. The analysis shows the process going from the disruption of the educational setting to the teachers’ discovery of key aspects of the didactic system including the teacher’s roles, a reflection on mathematics and its teaching, and the attempt to reconstruct the didactic system in a new way.
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