2026 Research Framework

State of Supplier Compliance

Emissa is building a benchmark based on structured operating records rather than publishing invented market statistics. This page defines what will be measured, how findings will be protected and what conditions must be met before a public benchmark is released.

Planned benchmark measures

Evidence readiness

Percent of active evidence-required requirements supported by current approved evidence.

Certificate currency

Current, expiring and expired required certificates at the measurement date.

Supplier response time

Time from documented request issue to complete response at the defined review state.

CAPA closure time

Time from corrective-action creation to verified closure.

Buyer request reuse

Share of recurring request fields answerable from current approved structured data or evidence.

Compliance data reuse

Approved supplier data or evidence used across more than one distinct compliance workflow.

Publication threshold

No market finding will be published until the dataset supports it.

Emissa will only publish aggregate findings when production records use consistent metric definitions, demo and test data are excluded, cohort sizes protect participant anonymity and no single organization can dominate the result. Until those conditions are met, the research section documents the framework rather than presenting synthetic statistics.

What a future report can answer

Where evidence breaks down

Which requirement types produce the highest rates of missing, expired or unapproved evidence across sufficiently large anonymous cohorts.

Where time is lost

Which supplier request, certificate, due-diligence and CAPA workflows have the longest operating cycle times.

Where reuse creates leverage

How often approved supplier and evidence records support more than one buyer, regulatory or product-compliance workflow.

Build measurable supplier compliance operations.

Structured requirements, evidence, owners and approvals create the operational data needed for future benchmarks.

See the operating model