Social Factors
This domain covers the S in ESG: workforce, supply chain, customers, communities and human rights. The exam tests categories and their financial transmission, plus the standards that define corporate obligations. Social factors are harder to measure than governance or emissions, and questions often reward precision about that difficulty.
The main categories
Human capital: health and safety, pay and living wage, diversity and inclusion, training, labour relations, restructuring. Supply chain: forced labour, child labour, modern slavery, supplier auditing, conflict minerals. Customers: product safety and quality, data privacy and cybersecurity, responsible marketing, access and affordability. Communities: licence to operate, indigenous rights, land use, local employment. Human rights: the UN Guiding Principles on Business and Human Rights set out the state duty to protect, corporate responsibility to respect, and access to remedy, operationalised through human rights due diligence.
Regulation and instruments
Modern Slavery Acts (UK 2015, Australia 2018) require supply-chain transparency statements; the EU Corporate Sustainability Due Diligence Directive pushes mandatory due diligence; ILO core conventions define labour standards. Social bonds follow ICMA's Social Bond Principles, and the just transition links decarbonisation with workforce and community impacts.
Worked example
An apparel brand sources from a tier-2 fabric mill with reported overtime breaches. The analyst should not conclude reputational risk alone. Channels: lost orders from buyers with due-diligence obligations; remediation and audit costs; potential import bans; higher staff turnover and defect rates. That converts to a cost and revenue effect rather than an intangible. The correct framework reference is human rights due diligence, not philanthropy.
Traps that cost marks
Assuming social issues are immaterial to value; treating charitable giving as management of a social factor; confusing the company's own workforce with its supply chain; ignoring jurisdictional differences in labour law; overlooking data privacy as a social (customer) factor and misplacing it under governance.
Measurement difficulty
Data is sparse, self-reported and inconsistent across countries, so analysts rely on controversies, NGO and media sources, and site-level audits. Concentration and sector matter more than headline scores.