A Quantitative Assessment of Disaster Recovery and Business Continuity Frameworks in Capital Market IT Infrastructure

Abstract

This study addresses the critical problem of insufficiently tested and unevenly governed disaster recovery and business continuity frameworks in capital market IT infrastructure, where system failures can disrupt high-value, time-sensitive financial operations. The purpose of the research is to quantitatively assess how disaster recovery planning, business continuity practices, backup and recovery systems, testing and simulation, risk assessment and governance, and disaster recovery maturity influence IT infrastructure resilience. A quantitative, cross-sectional, case-based design was adopted using cloud and enterprise capital market IT environments as the empirical context. Data were collected from 206 valid respondents out of 250 distributed questionnaires, representing professionals in IT operations, cybersecurity, risk, and continuity management, using a five-point Likert scale instrument. The key variables included disaster recovery planning, business continuity practices, backup and recovery systems, disaster recovery testing and simulation, risk assessment and governance, disaster recovery maturity, and IT infrastructure resilience. The analysis plan incorporated descriptive statistics, reliability testing with Cronbach’s Alpha exceeding 0.80 for all constructs, correlation analysis, and multiple regression modeling. The findings revealed strong positive relationships among all variables, with backup and recovery systems showing the highest correlation with resilience (r = 0.72, p < 0.01) and the strongest predictive effect (β = 0.29, p < 0.001). The regression model explained 62.4% of the variance in IT infrastructure resilience (R² = 0.624, F = 55.08, p < 0.001). Disaster recovery planning (β = 0.22), governance (β = 0.20), and business continuity practices (β = 0.18) also showed significant contributions; while testing and simulation had a comparatively weaker effect (β = 0.14). The Disaster Recovery Maturity Index averaged 4.05, with 69.9% of institutions classified as highly mature, and critical system ranking identified trading platforms as the highest recovery priority (mean = 4.63). The study implies that integrated, well-governed, and technically validated recovery frameworks significantly enhance resilience in financial IT systems and should be continuously improved through testing and maturity-based assessment.