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Enregistrement W3004401024 · doi:10.1108/jfc-05-2019-0056

Using the risk-based approach to curb modern slavery in the supply chain

2020· article· en· W3004401024 sur OpenAlexaboutno aff
Ehi Esoimeme

Notice bibliographique

RevueJournal of Financial Crime · 2020
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueInsurance and Financial Risk Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMoney launderingTerrorismTask forceTransparency (behavior)FinanceAccountingBusinessEconomicsLawPublic administrationPolitical science

Résumé

récupéré en direct d'OpenAlex

Purpose This paper aims to critically examine the modern slavery statements of Anglo American Plc. and Marks and Spencer Group Plc. to determine the level of effectiveness of the risk assessment and risk mitigation measures of both companies and provide recommendations on how the risk assessment and risk mitigation measures of both companies could be strengthened. Design/methodology/approach The analysis took the form of a desk study, which analysed various documents and reports such as the UK Modern Slavery Act 2015, the UK Modern Slavery Act 2015 (Transparency in Supply Chains) Regulations 2015, the UK Guidance issued under Section 54(9) of the Modern Slavery Act 2015, the 2018 Global Slavery Index, funded by Forrest’s Walk Free Foundation, the Anglo American Plc. Modern Slavery Statement of 2017/18, the Marks and Spencer Modern Slavery Statement of 2017/18, the Financial Action Task Force Guidance on the Risk Based Approach to Combating Money Laundering and Terrorist Financing (High Level Principles and Procedures) 2007, the Financial Action Task Force International Standards On Combating Money Laundering and the Financing of Terrorism and Proliferation (The FATF Recommendations) 2012, the Australia Anti-Money Laundering and Counter-Terrorism Financing Rules Instrument 2007 (No. 1) (as amended), the Financial Transactions and Reports Analysis Centre of Canada Guidance on the risk-based approach to combatting money laundering and terrorist financing 2017 and the Central Bank of Nigeria (Anti-Money Laundering and Combating the Financing of Terrorism in Banks and Other Financial Institutions in Nigeria) Regulations, 2013. Findings This paper determined that the standard due diligence measures and the enhanced due diligence measures of Anglo American Plc. are not effective enough to identify/assess the risk(s) of modern slavery in the supply chains reason being that Anglo American Plc. does not use diverse methods/methodologies for her due diligence programme. This paper, however, determined that the standard due diligence measures and the enhanced due diligence measures of Marks and Spencer Group Plc. are effective enough to identify/assess the risk(s) of modern slavery in the supply chains because Marks and Spencer adopts diverse methods/methodologies for her due diligence programme. This paper also determined that both Anglo American Plc. and Marks and Spencer Group Plc. adopt diverse methods for the monitoring of their corrective action plans which are designed to mitigate the modern slavery risk(s) associated with high-risk suppliers. For example, Anglo American Plc. monitors anti-modern slavery compliance with the use of both internal Anglo American teams and third-party auditors to ensure that the identified issues are adequately addressed. Research limitations/implications This paper focuses on Section 54 of the UK Modern Slavery Act 2015 and the Modern Slavery Statements of Anglo American Plc. and Marks and Spencer Group Plc for the year 2017/18. Originality/value Several articles have been published on this topic. Among them, is an article by Stefan Gold, Alexander Trautrims and Zoe Trodd titled “Modern slavery challenges to supply chain management”, Supply Chain Management: An International Journal , Vol. 20 Issue: 5, pp.485-494 and an article by Stephen John New titled “Modern slavery and the supply chain: the limits of corporate social responsibility?”, Supply Chain Management: An International Journal , Vol. 20 Issue: 6, pp.697-707. The article by Stefan Gold, Alexander Trautrims and Zoe Trodd drew attention to the challenges modern slavery poses to supply chain management. Although the article briefly talked about the risk-based approach to monitoring supply chains for slavery, it did not discuss about the due diligence measures that UK firms are required to apply during risk identification and risk assessment, and the risk mitigation measures that will address the risk(s) that have been identified. The article by Stephen John New examines legal attempts to encourage supply chain transparency and the use of corporate social responsibility methods. Though the article mentions the UK Modern Slavery Act 2015, more attention was paid to the California Transparency in Supply Chains Act [S.B. 657], State of California, 2010), enacted in 2011 and in effect from 2012. The article analysed the California Act without critically discussing the risk assessment procedures for UK companies. In addition to discussing the different stages of the risk assessment/risk management process, this paper will examine the modern slavery statements of Anglo American Plc. and Marks and Spencer Group Plc. This paper will provide recommendations on how the risk assessment/risk mitigation measures of both companies could be strengthened. This is the only paper to adopt this kind of approach. The analysis/recommendations in this paper will help UK companies to design effective due diligence procedures for their supply chain.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,029
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0150,029
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0040,002
Études des sciences et des technologies0,0050,014
Communication savante0,0120,012
Science ouverte0,0020,010
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,067
Tête enseignante GPT0,244
Écart entre enseignants0,177 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2020
Routes d'admission1
Résumé présentoui

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