K. Mokhtari, N. A. Rahman, H. Soltani, Salim Al Rashdi, Kawkab Abdul Aziz Mohammed Al Balushi
{"title":"Security risk management: a case of Qalhat liquefied natural gas terminal","authors":"K. Mokhtari, N. A. Rahman, H. Soltani, Salim Al Rashdi, Kawkab Abdul Aziz Mohammed Al Balushi","doi":"10.1108/mabr-05-2020-0028","DOIUrl":null,"url":null,"abstract":"\nPurpose\nAt the substantive level, there exists a gap in knowledge about the position of security risk management (i.e. SRM) during the terminals’ operations and management; particularly when there is potential for deliberate anti-security acts. Correspondingly, the purpose of this paper is a need for more practical research to find out the justification for the existence of the SRM and different techniques for its appropriate execution on these logistics infrastructures principally with due regard to the potential requirements in the near future.\n\n\nDesign/methodology/approach\nBoth qualitative and quantitative techniques are used in this study incorporating fuzzy set theory and risk assessment matrix to achieve the research objective.\n\n\nFindings\nA designed SRM framework tailored for Qalhat liquefied petroleum gas (LNG) terminal in Sultanate of Oman was established to manage the security threats which can be resulted from any probable terrorist attacks.\n\n\nResearch limitations/implications\nThe limited numbers of experts for the purpose of the addressed SRM are causing challenges in data collection.\n\n\nPractical implications\nThe pressures for enhanced attention to critical infrastructure security have fostered new challenges for petrochemical seaports and terminals (PSTs). These tendencies dictate to maintain comprehensive security regimens that can be integrated with national and international strategies to support the country’s security against terrorism.\n\n\nOriginality/value\nThe development of the security risk factor table model in the case of Qalhat LNG Terminal.\n","PeriodicalId":43865,"journal":{"name":"Maritime Business Review","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2020-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maritime Business Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mabr-05-2020-0028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 2
Abstract
Purpose
At the substantive level, there exists a gap in knowledge about the position of security risk management (i.e. SRM) during the terminals’ operations and management; particularly when there is potential for deliberate anti-security acts. Correspondingly, the purpose of this paper is a need for more practical research to find out the justification for the existence of the SRM and different techniques for its appropriate execution on these logistics infrastructures principally with due regard to the potential requirements in the near future.
Design/methodology/approach
Both qualitative and quantitative techniques are used in this study incorporating fuzzy set theory and risk assessment matrix to achieve the research objective.
Findings
A designed SRM framework tailored for Qalhat liquefied petroleum gas (LNG) terminal in Sultanate of Oman was established to manage the security threats which can be resulted from any probable terrorist attacks.
Research limitations/implications
The limited numbers of experts for the purpose of the addressed SRM are causing challenges in data collection.
Practical implications
The pressures for enhanced attention to critical infrastructure security have fostered new challenges for petrochemical seaports and terminals (PSTs). These tendencies dictate to maintain comprehensive security regimens that can be integrated with national and international strategies to support the country’s security against terrorism.
Originality/value
The development of the security risk factor table model in the case of Qalhat LNG Terminal.