Swans and elephants: A typology to capture the challenges of food supply chain risk assessment

Manning, Louise; Birchmore, Ian; Morris, W. E.

doi:10.1016/j.tifs.2020.10.007

Cited by 23 publications

(20 citation statements)

References 89 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Generally, banks promise enterprise loans only on realizable-asset collateral or powerful thirdparty guarantee. Yet, under such conditions, most Chinese SMEs will be shut out from the financial support of financial institutions, thus limiting their development [3,4]. For a long time, financing difficulties have always been the obstacles on the path of Chinese SMEs' advancement; the emergence of Supply Chain (SC) Financing [SCF] might just be tailor-made for this problem.…”

Section: Introductionmentioning

confidence: 99%

Internet-based supply chain financing-oriented risk assessment using BP neural network and SVM

Zhang

Huang

2022

PLoS ONE

View full text Add to dashboard Cite

To better prevent the potential risks in Internet-based Supply Chain Financing (SCF) products, this paper optimizes and evaluates the Internet-based SCF-oriented Credit Risk Evaluation (CRE) method. Firstly, this paper summarizes 12 risk factors of SCF business, establishes a Risk Assessment Index System (RAIS) with good consistency and stability; then, the principles of Backpropagation (BP) Neural Network (NN) is expounded together with Support Vector Machines (SVM) and Genetic Algorithm (GA) model. Consequently, a CRE model is implemented by the NN tools in MATLAB based on the collection of multiple groups of SCF-oriented risk assessment samples. Subsequently, the assessment samples are trained and tested. Finally, the SCF-oriented CRE model is proposed and verified. The results show that the BP-GA model has presented high prediction consistency with the actual classification. According to the comparison of classification results of SVM, BP model, and BP-GA model, the classification accuracy of test samples of the proposed Internet-based SCF-oriented CRE system using BP-GA model reaches 97.19%; the Type I and Type II error rate of the CRE system based on BP-GA model is 7.2% and 14.21%, respectively. Therefore, a suitable SCF-oriented CRE method is put forward for China’s commercial banks along with scientific and feasible suggestions to manage SCF-oriented credit risks more reasonably and effectively.

show abstract

Section: Introductionmentioning

confidence: 99%

Internet-based supply chain financing-oriented risk assessment using BP neural network and SVM

Zhang

Huang

2022

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The frequency of purposive official controls sampling for foods originating from specific countries depends on the regulator’s assessment of a given food safety issue and the associated pre-determined risk to public health [ 13 ]. Thus, the presence of Salmonella or ethylene oxide as a contaminant of sesame seeds is an example of a grey swan, i.e., it is a food safety risk that is knowable, assessable, and can be mitigated for, even eliminated, with appropriate official controls and business level controls in place [ 78 , 79 , 80 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Food Safety Governance and Guardianship: The Role of the Private Sector in Addressing the EU Ethylene Oxide Incident

Kowalska

Manning

2022

Foods

Self Cite

View full text Add to dashboard Cite

Sesame seeds within the European Union (EU) are classified as foods not of animal origin. Two food safety issues associated with sesame seeds have emerged in recent years, i.e., Salmonella contamination and the presence of ethylene oxide. Fumigation with ethylene oxide to reduce Salmonella in seeds and spices is not approved in the EU, so its presence in sesame seeds from India was a sentinel incident sparking multiple trans-European product recalls between 2020–2021. Following an interpretivist approach, this study utilises academic and grey sources including data from the EU Rapid Alert System for Food and Feed (RASFF) database to inform a critical appraisal of current EU foods not of animal origin legislation and associated governance structures and surveillance programs. This is of particular importance as consumers are encouraged towards plant-based diets. This study shows the importance of collaborative governance utilizing data from company testing and audits as well as official regulatory controls to define the depth and breadth of a given incident in Europe. The development of reflexive governance supported by the newest technology (e.g., blockchain) might be of value in public–private models of food safety governance. This study contributes to the literature on the adoption of risk-based food safety regulation and the associated hybrid public–private models of food safety governance where both regulators and private organizations play a vital role in assuring public health.

show abstract

“…Probability is the likelihood of the threat occurring, and severity is the amount of damage or harms a threat could create (BRC,2018). However, as this assessment works with food fraud which has multiple unknowns as described by Manning, Birchmore and Morris (2020) some factors used to determine probability in this assessment are more accurately described not as probability but as a subjective assessment of likelihood.…”

Section: Background Background Background Backgroundmentioning

confidence: 99%

The identification of beef crimes and the creation of a bespoke beef crimes risk assessment tool

et al. 2021

View full text Add to dashboard Cite

Swans and elephants: A typology to capture the challenges of food supply chain risk assessment

Cited by 23 publications

References 89 publications

Internet-based supply chain financing-oriented risk assessment using BP neural network and SVM

Internet-based supply chain financing-oriented risk assessment using BP neural network and SVM

Food Safety Governance and Guardianship: The Role of the Private Sector in Addressing the EU Ethylene Oxide Incident

The identification of beef crimes and the creation of a bespoke beef crimes risk assessment tool

Contact Info

Product

Resources

About