A 3-FACTOR MODEL RELATING COMMUNICATION TO RISK MITIGATION OF EXTENDED INFORMATION SYSTEM FAILOVER Cover Image

A 3-FACTOR MODEL RELATING COMMUNICATION TO RISK MITIGATION OF EXTENDED INFORMATION SYSTEM FAILOVER
A 3-FACTOR MODEL RELATING COMMUNICATION TO RISK MITIGATION OF EXTENDED INFORMATION SYSTEM FAILOVER

Author(s): Athanasios Podaras
Subject(s): Media studies, Business Economy / Management, Theory of Communication, Social Informatics, ICT Information and Communications Technologies
Published by: University of Lincoln and World Experience Campus Foundation
Keywords: Extended Information System Outage; Risk Mitigation; Effective Communication; Information System Recovery; Composite Risk Index;

Summary/Abstract: This paper aims to analyse the relation between timely and effective communication and risk mitigation of late recovery after an unexpected information system outage in enterprises. An unforeseen information system failure in modern enterprise units, may result to significant operational and financial damage. In such a critical incident, effective communication between the team leaders and the recovery team involved, can minimize or even eliminate this negative impact. An extended information system outage can be perceived as a time deviation from the Maximum Accepted Outage (ΜΑΟ) timeframe, proposed by the business continuity management, according to the value of which dependent business functions may be interrupted without any serious effects to the company. The paper examines the relation between 3 basic factors and the efficient communication between team members. The factors are: timely information distribution, staff availability and network availability. Through the current paper, the author proposes a risk analysis model, based on the Composite Risk Index theory of Risk Management, which can significantly diminish the possibility of an extended information system outage, as well as calculate the extended time required to recover a system when the aforementioned factors emerge in their worst form. The precise calculation of recovery time can be achieved via the execution of business continuity tests which include scenarios, according to which an unexpected system outage coexists with delayed information distribution as well as low staff and network availability.

  • Issue Year: 1/2015
  • Issue No: 2
  • Page Range: 93-105
  • Page Count: 13
  • Language: English