Risk response compliance framework for organizational information systems: Architecture and sectoral diagnostics

Abstract

Risk Response Compliance – the degree to which an organization’s actual information-system risk-response actions match its documented response plans, control requirements and regulatory obligations – remains weakly operationalized as a governance-level indicator, even though it is embedded in established enterprise risk-management practice. The aim of the article is to specialize a governance-level Key Performance Indicator framework to Risk Response Compliance and to give it a measurement-ready, self-diagnostic structure. The research methodology combines a design-science construction with a measurement model aligned to international information-security measurement standards: seven cross-cutting Risk Response Compliance metrics are defined – Control Implementation Rate, Control Effectiveness Index, Response Plan Adherence Ratio, Audit Defensibility Score, Regulatory Mandate Coverage, Median Time to Compliance and Compliance Stability Index – each normalized to a common dimensionless scale and aggregated by both a linear and a weakest-link (generalized-mean) rule. The scientific novelty is a three-directional decomposition of each metric against quality attributes, sectoral compliance constructs and additional dependency families, together with an entropy-based diagnostic index that signals when the metric set must evolve. The results are sector-specific weighting profiles derived by expert pairwise comparison, an illustrative numerical example demonstrating the metric algebra, and a boundedness proof for the diagnostic index. The practical significance is a conceptual framework that lets organizations measure risk-response compliance jointly as immediacy and defensibility; full empirical validation is defined as future work.