期刊名称：International Journal of Academic Research in Business and Social Sciences
电子版ISSN：2222-6990
出版年度：2018
卷号：8
期号：9
页码：1193-1210
DOI：10.6007/IJARBSS/v8-i9/4691
语种：English
出版社：Human Resource Management Academic Research Society
摘要：A study on several organizations in one of the districts of Kelantan that was severely affected by the massive floods in 2014 highlights a number of problems in managing data, notably critical data, owing to the lack of a standard operating procedure (SOP) that could be used as guidelines for data storage, data loss, and data inconsistency between organizations. Admittedly, there are several data management frameworks available, but in general, they are less effective for the management of data in times of crisis due to natural disasters. In view of this predicament, a critical data management framework was developed to serve as guidelines in dealing with the above prevailing issues. More specifically, the aim of this study is to identify and validate the components and elements of an appropriate assessment instrument using the Delphi technique to help formulate such a framework in dealing with the management of critical data in situations facing disasters. In this study, the validation of several selected components and elements through the Delphi technique was carried out in two rounds involving a panel of experts, consisting of three data managers, three ICT administrators from the public sector, and three academicians. The findings of the validation process showed that all the experts unanimously accepted and validated 10 components that were deemed vital for the formulation of the proposed critical data management framework. In fact, the formulation of the proposed framework was more compressive and holistic by focusing not only on the general aspects of data management but also on the critical aspects of disaster management, of which the latter could help organizations to handle important data in times when disasters occur unpredictably. Equipped with such a comprehensive framework, the researchers would be able to develop a critical data management system prototype to help organizations, with which organizations could use to help manage their important, valuable data in critical, precarious situations.
