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Designing Business Continuity Plan for It Organizations: A Systematic Literature Review and Meta-Analysis

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With the recent pandemic due to COVID-19 and several other uncertain events (due to human error or natural disaster), designing and implementation of Business Continuity Plan (BCP) has become a vital part of any organization. The organizations must prepare in advance and identify all possible uncertain events which may cause hindrance in their services. They must also access the consequences due to such events, which helps them devise such a plan that their operations do not pause even in such a disaster. This research explores the possibilities and finds a standard set of steps that must be taken care of while designing, testing, and implementing BCP. In this research paper, a systematic literature review has been performed on a previous research paper in the area of Business Continuity Plan to explore various options that an organization may adopt during a disaster. The studies were of moderate quality and had a low chance of being skewed by publishing prejudice. Subgroup analyses were not possible due to the heterogeneity of outcome tests, follow-up durations, and research forms. The new research should be used to help create and evaluate executive training strategies that facilitate long-term adaptive coping with PSP and reduce PTSIs. The aim of this systematic review and metanalysis is to assess PSP coping effects over time. The number of patients born with congenital heart disease need to be monitored for the rest of their lives. Discontinuity of treatment, on the other hand, is a well-known issue that tends to be worsening at the time of transition to adulthood.


Ritesh Kumar Tiwary, Raghav Sandhane. Designing Business Continuity Plan for It Organizations: A Systematic Literature Review and Meta-Analysis. Cardiometry; Issue 24; November 2022; p.849-858; DOI: 10.18137/cardiometry.2022.24.849858; Available from:


Business Continuity Plan (BCP),  Disaster Recovery Plan (DRP),  Information Technology (IT),  Risk Assessment,  COVID-19
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