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Article
Publication date: 8 August 2018

Viktoria Gallova, Marek Palasinski, Neil Shortland, Michael Humann and Lorraine Bowman Grieve

The purpose of this paper is to determine the potential predictors of anxiety about digital security, terrorist threats and support for high-tech counter measures.

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Abstract

Purpose

The purpose of this paper is to determine the potential predictors of anxiety about digital security, terrorist threats and support for high-tech counter measures.

Design/methodology/approach

In Study 1, 195 participants indicated their anxiety about digital security systems, data protection and social networking sites. In Study 2, 107 participants indicated their anxiety about domestic terrorism, international terrorism and extremist groups. In Study 3, 261 participants indicated their support for high-tech counter-terrorism measures.

Findings

Study 1 suggests that whereas anxiety about digital security systems, data protection and social networking sites was positively predicted by right-wing authoritarianism, anxiety about social networking was also negatively predicted by time spent online. Study 2 shows that time spent online was a negative predictor of anxiety about domestic terrorism. Study 3 indicates that the strongest positive predictor of support for all the measures was right-wing authoritarianism, followed by national identity.

Research limitations/implications

The findings show the relevance of terror management theory to digital security and counter-terrorism.

Practical implications

It appears that right-wing authoritarianism and national identity may serve as mechanisms for people to subjectively counter the presented threats. This notion may inform relevant policy and practice aimed at making communities safer and potentially helps introduce counter-terror measures with less public backlash.

Social implications

When designing counter-terror measures, policy makers should consider compound national identities (e.g. Catalan or Basque people).

Originality/value

The paper makes contribution to under-explored areas of terrorism anxiety and support for counter-terror measures.

Details

Safer Communities, vol. 17 no. 3
Type: Research Article
ISSN: 1757-8043

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Article
Publication date: 23 July 2020

David Holdsworth and Adam Zagorecki

Effective Emergency Response Management (ERM) system evaluation is vital to the process of continual improvement within emergency response organizations. The purpose of this paper…

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Abstract

Purpose

Effective Emergency Response Management (ERM) system evaluation is vital to the process of continual improvement within emergency response organizations. The purpose of this paper is to investigate if an entire ERM system can be captured and encoded within a standardized framework.

Design/methodology/approach

Employing an exploratory approach the authors apply a mixed methods case study design and inductive reasoning to analyse documentary evidence provided during the inquest into the London Bombings 2005. The authors use content analysis to investigate the nature of ERM system data availability and apply principals of Network Theory to iteratively develop a framework within which data can be encoded.

Findings

The authors find that complex ERM system data can be captured and stored within a standardized framework. The authors present a conceptual framework and multi-stage mixed methods process, the Standardized Emergency Response Incident Evaluation System (SERIES) model, to support data collection, storage and interpretation. The findings demonstrate that ERM system evaluation can benefit from the adoption of a standardized mixed-methods approach employing data transformation and triangulation. The authors also demonstrate the potential of the proposed standardized model, by integrating qualitative and quantitative data, to support interpretation and reporting through the use of appropriate data visualization.

Originality/value

The SERIES model provides a practical tool and procedural guidelines to capture and share vital ERM system data and information across all emergency services. It also presents an opportunity to develop a large comprehensive multi-incident dataset to support academic inquiry and partnership between academics and practitioners.

Details

International Journal of Emergency Services, vol. 9 no. 3
Type: Research Article
ISSN: 2047-0894

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