Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework

Dilshad Sarwar, Muthu Ramachandran, Amin Hosseinian-Far

Research output: Contribution to Book/Report typesChapter

Abstract

Recently, we have witnessed so many natural catastrophes such as earthquakes in Japan, severe floods in the UK, US and many other parts of the world. Consequently businesses have been losing tens of billions of dollars as a result of various natural and man-made disasters. Disaster Management System (DMS) have proven to be important means for reducing risks associated with such damages to businesses. A DMS can minimize and in some cases, eliminates the risks through technical, management or operational solutions (risk management effort). However, it is virtually impossible to eliminate all risks. Information technology systems are vulnerable for a variety of disruptions (e.g. short-term power outage, disk drive failure) as a result of natural disasters to terrorist actions. In many cases, critical resources may reside outside the organizations control (such as telecommunications or electric power), and the organization may be unable to ensure their availability. This paper proposes a model for Disaster Management System as an Element of Risk Management using the PESTLE framework. Thus, an effective Disaster Management System in the form of contingency planning, execution and testing are essential to mitigate the risk of system and service availability. We have developed a global model for disaster recover planning and management based on the PESTLE framework which can be customised and applied to a variety of disasters prone systems such natural, emergency, IT/Network/Security, Data recovery, and incident-response systems. To summarise, this paper aims to maximise the benefits of PESTLE analysis it should be used on a regular basis within an organisation to enable the identification of trends.
Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages191-204
Number of pages14
ISBN (Electronic)9783319510644
ISBN (Print)9783319510637
DOIs
Publication statusE-pub ahead of print - 4 Jan 2017

Publication series

NameCommunications in Computer and Information Science
Volume630

Fingerprint

Risk management
Disasters
Availability
Planning
Network security
Outages
Information technology
Telecommunication
Industry
Earthquakes
Recovery
Testing

Keywords

  • Disaster management system
  • Disaster preparedness
  • Emergency management and early warning
  • PESTLE
  • Recovery/reconstruction
  • Risk identification

Cite this

Sarwar, D., Ramachandran, M., & Hosseinian-Far, A. (2017). Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework. In Communications in Computer and Information Science (pp. 191-204). (Communications in Computer and Information Science; Vol. 630). Springer Verlag. https://doi.org/10.1007/978-3-319-51064-4_16
Sarwar, Dilshad ; Ramachandran, Muthu ; Hosseinian-Far, Amin. / Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework. Communications in Computer and Information Science. Springer Verlag, 2017. pp. 191-204 (Communications in Computer and Information Science).
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Sarwar, D, Ramachandran, M & Hosseinian-Far, A 2017, Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework. in Communications in Computer and Information Science. Communications in Computer and Information Science, vol. 630, Springer Verlag, pp. 191-204. https://doi.org/10.1007/978-3-319-51064-4_16

Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework. / Sarwar, Dilshad; Ramachandran, Muthu; Hosseinian-Far, Amin.

Communications in Computer and Information Science. Springer Verlag, 2017. p. 191-204 (Communications in Computer and Information Science; Vol. 630).

Research output: Contribution to Book/Report typesChapter

TY - CHAP

T1 - Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework

AU - Sarwar, Dilshad

AU - Ramachandran, Muthu

AU - Hosseinian-Far, Amin

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Y1 - 2017/1/4

N2 - Recently, we have witnessed so many natural catastrophes such as earthquakes in Japan, severe floods in the UK, US and many other parts of the world. Consequently businesses have been losing tens of billions of dollars as a result of various natural and man-made disasters. Disaster Management System (DMS) have proven to be important means for reducing risks associated with such damages to businesses. A DMS can minimize and in some cases, eliminates the risks through technical, management or operational solutions (risk management effort). However, it is virtually impossible to eliminate all risks. Information technology systems are vulnerable for a variety of disruptions (e.g. short-term power outage, disk drive failure) as a result of natural disasters to terrorist actions. In many cases, critical resources may reside outside the organizations control (such as telecommunications or electric power), and the organization may be unable to ensure their availability. This paper proposes a model for Disaster Management System as an Element of Risk Management using the PESTLE framework. Thus, an effective Disaster Management System in the form of contingency planning, execution and testing are essential to mitigate the risk of system and service availability. We have developed a global model for disaster recover planning and management based on the PESTLE framework which can be customised and applied to a variety of disasters prone systems such natural, emergency, IT/Network/Security, Data recovery, and incident-response systems. To summarise, this paper aims to maximise the benefits of PESTLE analysis it should be used on a regular basis within an organisation to enable the identification of trends.

AB - Recently, we have witnessed so many natural catastrophes such as earthquakes in Japan, severe floods in the UK, US and many other parts of the world. Consequently businesses have been losing tens of billions of dollars as a result of various natural and man-made disasters. Disaster Management System (DMS) have proven to be important means for reducing risks associated with such damages to businesses. A DMS can minimize and in some cases, eliminates the risks through technical, management or operational solutions (risk management effort). However, it is virtually impossible to eliminate all risks. Information technology systems are vulnerable for a variety of disruptions (e.g. short-term power outage, disk drive failure) as a result of natural disasters to terrorist actions. In many cases, critical resources may reside outside the organizations control (such as telecommunications or electric power), and the organization may be unable to ensure their availability. This paper proposes a model for Disaster Management System as an Element of Risk Management using the PESTLE framework. Thus, an effective Disaster Management System in the form of contingency planning, execution and testing are essential to mitigate the risk of system and service availability. We have developed a global model for disaster recover planning and management based on the PESTLE framework which can be customised and applied to a variety of disasters prone systems such natural, emergency, IT/Network/Security, Data recovery, and incident-response systems. To summarise, this paper aims to maximise the benefits of PESTLE analysis it should be used on a regular basis within an organisation to enable the identification of trends.

KW - Disaster management system

KW - Disaster preparedness

KW - Emergency management and early warning

KW - PESTLE

KW - Recovery/reconstruction

KW - Risk identification

UR - http://www.mendeley.com/research/disaster-management-system-element-risk-management-natural-disaster-systems-using-pestle-framework

U2 - 10.1007/978-3-319-51064-4_16

DO - 10.1007/978-3-319-51064-4_16

M3 - Chapter

SN - 9783319510637

T3 - Communications in Computer and Information Science

SP - 191

EP - 204

BT - Communications in Computer and Information Science

PB - Springer Verlag

ER -

Sarwar D, Ramachandran M, Hosseinian-Far A. Disaster management system as an element of risk management for natural disaster systems using the PESTLE framework. In Communications in Computer and Information Science. Springer Verlag. 2017. p. 191-204. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-51064-4_16