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Adaptive E-Business Continuity Management: Evidence from the Financial Sector

Milica Labus¹, Marijana Despotović-Zrakić¹, Zorica Bogdanović¹, Dušan Barać¹ and Snežana Popović²

1. Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154
   11000 Belgrade, Serbia
   {milica, maja, zorica, dusan}@elab.rs
2. School for Computing, Union University, Knez Mihajlova 6/VI
   11000 Belgrade, Serbia
   spopovic@raf.edu.rs

Abstract

This paper focuses on business continuity management in organizations that use modern e-business technologies: the Internet, mobile computing, e-services, and virtual infrastructure. The aim is to make the shift from traditional Business Continuity Management (BCM) towards “e-Business Continuity Management” (e-BCM) suitable for modern technological environments. We have defined a comprehensive framework for the implementation of an adaptive e-BCM adjustable to changes in the business environment. The framework consists of practical steps for defining elements of a business continuity management system: business impact analysis, risk assessment, and a business continuity plan. We have implemented and evaluated the framework within three financial organizations. The key finding is that Business Impact Analysis and the continual improvement of the Business Continuity Management System are the driving factors for the effective establishment of an adaptive e-BCM. The proposed framework is general, and can be applied to any organization that uses modern e-business technologies.

Key words

E-Business Continuity Management, Business Impact Analysis, Business Continuity Plan, ISO 22301

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS190202037L

Publication information

Volume 17, Issue 2 (June 2020)
Year of Publication: 2020
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

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How to cite

Labus, M., Despotović-Zrakić, M., Bogdanović, Z., Barać, D., Popović, S.: Adaptive E-Business Continuity Management: Evidence from the Financial Sector. Computer Science and Information Systems, Vol. 17, No. 2, 553–580. (2020), https://doi.org/10.2298/CSIS190202037L