Successful implementation of business continuity management in selected financial institutions

Financial institutions in Malaysia are under the supervision and governance of Bank Negara Malaysia. Despite regulator’s stringent control for a stable operational environment, there were technical hiccups that crippled the financial systems: Hong Leong Bank’s IT system experienced intermittent dis...

Full description

Saved in:
Bibliographic Details
Main Author: Leong, Lai Hoong
Format: Thesis
Published: 2014
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Financial institutions in Malaysia are under the supervision and governance of Bank Negara Malaysia. Despite regulator’s stringent control for a stable operational environment, there were technical hiccups that crippled the financial systems: Hong Leong Bank’s IT system experienced intermittent disruption for 5 days before a festival in 2006 and technical glitches suspended the Malaysia stock trading for 1.5 days in two occasions in 2008. Prior studies recognized the importance of BCM as an organization’s strategic direction and regulators are pushing for BCM as part of corporate governance. However, the enablers and inhibitors of the implementation are not well understood. Tornatzky and Fleischer’s technology–organization–environment (TOE) framework is a popular theoretical model for studying innovation adoption but it has a number of known gaps. This research aims to study the phenomenon of BCM implementation, at the same time to extend TOE framework for process adoption and close the known TOE’s gaps. This research developed a model to study the determinants of BCM implementation by examining the influence from technological, organizational, environmental and individual contexts. A survey instrument was developed to collect primary data from 208 BCM and DRP professionals from the financial institutions in Malaysia. Data gathered were used to test the relationships between the research model constructs using a Structural Equation Modeling (SEM) approach.