3.2 Operationalising Statement Quality: Detection, Due Diligence, and Remediation
Operationalising modern slavery disclosure quality requires a systematic secondary document analysis framework that differentiates symbolic corporate compliance from substantive risk detection and remediation mechanisms across multi-tier procurement networks. In evaluating corporate reporting practices, this study establishes a content-analytic schema grounded in secondary data extraction from mandatory annual transparency statements. Stevenson and Cole (2018) demonstrate that secondary data analysis of corporate modern slavery statements enables researchers to capture the heterogeneity of organisational responses, particularly concerning how enterprises report detection practices, remediation pathways, and risk avoidance measures within complex supply chains. By categorising disclosures across distinct thematic operational areas, this methodological framework examines whether corporate reporting moves beyond generic social responsibility policies toward targeted operational responses that address the hidden nature of labour exploitation (Stevenson & Cole, 2018). Furthermore, the analytical model incorporates institutional determinants to account for the organisational drivers of reporting compliance. Methodologically, assessing corporate transparency demands accounting for structural factors such as firm size, industry sector risk, and existing commitments to social responsibility (Flynn & Walker, 2019). By structuring the coding protocol around these institutional dimensions, the research design isolates the conditions under which corporations satisfy statutory reporting criteria versus instances where disclosures remain decoupled from vertical supply chain due diligence (Flynn & Walker, 2019). Consequently, this secondary document methodology offers a rigorous, replicable protocol for evaluating the substantive depth of corporate modern slavery disclosures across capital market entities.