Work

Business Continuity Planning and Learning Based on an Extension to the JDL Data Fusion Model

Year: 2019

Type: article

Abstract: Small businesses are likely to suffer severely from any disaster.Only half of businesses had any kind of plan in place to recover from such unforeseen events.The pain of disaster will be felt not only by the businesses themselves, but by their customers.Not surprisingly, this lead to a lot of customer loss where they will switch vendors due to "unreliable business systems".Business continuity planning (BCP) is the process of creating systems of prevention and recovery to deal with potential threats to a company.This summary paper presents an extended model of JDL BCP by adding two essential levels including machine learning and workflow integration.The Node-Red workflow integration platform is suggested to be used for BCP prototyping and recovery.

Source: International journal of disaster recovery and business continuity

DOI: 10.33832/ijdrbc.2019.10.01

Authors: Sami Mohammed, Sabah Mohammed, Jinan Fiaidhi

Institutions: University of Victoria, Lakehead University

Language: English

Topic: Supply Chain Resilience and Risk Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: bronze

Funder: Natural Sciences and Engineering Research Council of Canada

OpenAlex ID: W3025259956

FWCI: 0.387

Cites: 8

Cited by: 2

Related to: 10