The Cyber Due Diligence Object Model (CDDOM) is a structured, extensible framework designed for SMEs to manage cybersecurity due diligence in digital supply chains. Aligned with regulations like NIS2, DORA, CRA, and GDPR, CDDOM enables continuous, automated, and traceable due diligence. It integrates descriptive schemas, role-specific messaging, and decision support to facilitate supplier onboarding, risk reassessment, and regulatory compliance. Validated in real-world scenarios, CDDOM supports automation, transparency, and interoperability, translating compliance and trust signals into machine-readable formats. It fosters resilient, decision-oriented cyber governance, addressing modern cybersecurity challenges outlined in recent research.
The Global Cybersecurity Outlook 2025 reveals escalating cyber risks due to geopolitical tensions, technological advancements, and supply chain vulnerabilities. Over 50% of organizations cite supply chain risks as their top concern. Experts stress updating technology, redefining risk management, and fostering collaboration to address growing cybercrime, AI threats, and regulatory challenges.
"We use #naturallanguageprocessing to #measure #supplychainrisk (#scr) faced by #us firms, as expressed in narratives of quarterly earnings conference calls."
While #financialrisks, #politicalrisks, #compliancerisks, and #cyberrisks are more easily quantifiable, #esgrisk presents a challenge for boards to identify, assess, and develop plans to its #riskmitigation. Using #nestlé USA as a case study, the article highlights how #esg#risks can migrate across different pillars: what initially appeared as #supplychainrisk moved across pillars into #litigation and #businessrisk before settling as ongoing ESG risk proper.
The #covid19 #pandemic revealed shortcomings in #supplychainmanagement and highlighted the need for rebuilding #supplychains for #resilience to respond to #systemwide #disruptions. This study outlines an approach to rebuilding supply chains for resilience, integrating innovation in areas critical to supply chain management. The authors focus on three areas deemed foundational to #supplychainresilience: forecasting, #supplychainrisk #riskmanagement, and product design.
"This Article provides a novel heuristic framework for understanding the three elements of Risk, Reward and Resilience (the Triple R Framework), which synthesizes and integrates insights from diverse disciplines and domains. It sets out the drivers of each element, shows how they are connected and sketches the policy choices which they present, before applying the framework to the COVID-19 supply chain shock and China’s economic coercion of Australia."
" I develop a firm-level measure of supply chain risk exposure from a novel source of unstructured data---managers' discussions of supply chain-related topics during earnings conference calls and Q&A sessions---using textual analysis techniques including seeded word embedding and bag-of-words-based content analysis."