scholarly journals The SERIES model: development of a practitioner focused emergency response evaluation system

2020 ◽  
Vol 9 (3) ◽  
pp. 313-337
Author(s):  
David Holdsworth ◽  
Adam Zagorecki
Keyword(s):  
Mixed Methods ◽  
Emergency Response ◽  
Evaluation System ◽  
Emergency Services ◽  
Model Development ◽  
Inductive Reasoning ◽  
Data Availability ◽  
System Evaluation ◽  
Content Type ◽  
System Data

PurposeEffective 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/approachEmploying 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.FindingsThe 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/valueThe 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.

Assessing the benefits of organized voluntary emergency services

2016 ◽  
Vol 25 (3) ◽  
pp. 298-313 ◽  
Author(s):  
Gabriel Bachner ◽  
Sebastian Seebauer ◽  
Clemens Pfurtscheller ◽  
Anja Brucker
Keyword(s):  
Emergency Management ◽  
Case Studies ◽  
Emergency Service ◽  
Emergency Services ◽  
Data Availability ◽  
Content Type ◽  
Emergency Managers ◽  
Public Resources ◽  
Analyze Case ◽  
Practical Implications

Purpose – The purpose of this paper is to reveal the benefits of organized voluntary emergency services (OVES) in the case of flood events, since such information is mostly not available, but needed to analyze the total effects of disasters and respective responses. Moreover, the efficient allocation of scarce public resources for emergency and risk management should be based on empirical data. Design/methodology/approach – Based on a qualitative framework describing the benefits of OVES, the authors develop different tools for monetizing tangible as well as intangible benefits and apply them for case studies in Austria. Findings – The benefits of volunteer efforts for emergency management cannot be monetized easily, since they are often of intangible character. Nevertheless, we show that the benefits of OVES could be substantial. Research limitations/implications – As the authors analyze case studies, the results cannot be directly transferred to other regions, but illustrate the empirical dimension of the benefits of OVES. Further research should be undertaken to assess the benefits of avoided losses by OVES using single-object data. Practical implications – Since many emergency service institutions are involved during/after natural hazards, data availability and exchange should be improved. Objective decisions for investment in emergency services should be based on data of recent hazard events and case studies. Originality/value – The paper develops a toolbox to evaluate the benefits of OVES and is thus highly valuable for emergency managers, which are responsible for deploying volunteers and non-volunteers in emergency management.

Multi-response roles in emergency response personnel

2014 ◽  
Vol 3 (2) ◽  
pp. 162-178 ◽  
Author(s):  
Greg Linsdell ◽  
Colin Rogers
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Online Survey ◽  
Emergency Services ◽  
Social Preferences ◽  
Fire Service ◽  
Future Research ◽  
Decision Making Process ◽  
Content Type ◽  
Depth Analysis

Purpose – The purpose of this paper is to assess the decision-making process of multi-role emergency response volunteers and their preferences for which agency they would choose to volunteer for in an emergency, utilizing the New South Wales Rural Fire Service as an example. Design/methodology/approach – Large-scale online survey data collection method, which enabled in depth analysis of responses. Findings – There are a large number of individuals who hold multiple volunteer roles and their decisions as to which service they would prefer to volunteer for is influenced by many complex factors. Research limitations/implications – Research in this topic is rare and future research should be undertaken on a wider scale involving both quantitative and qualitative methods. Practical implications – Findings will help policy makers and those responsible for providing emergency services with an understanding of the decision-making process of volunteers. Social implications – The results may help to promote understanding of a volunteers social preferences when engaged in work for emergency services. Originality/value – This is an area that has had little research undertaken in and is therefore quite an original piece of work that will have resonance for emergency services across the globe.

The SERIES model: Can a standardized approach benefit practitioner evaluation of emergency response systems?

2021 ◽  
Vol 19 (3) ◽  
pp. 273-291
Author(s):  
David Holdsworth, PhD ◽  
Adam Zagorecki, PhD
Keyword(s):  
Organizational Development ◽  
Learning Outcomes ◽  
Emergency Response ◽  
Evaluation System ◽  
Fire Service ◽  
High Rise ◽  
Response Systems ◽  
System Data ◽  
Emergency Response Systems ◽  
Qualitative Characteristics

The purpose of this research was to investigate the use of a standardized model of data collection, storage, and interpretation to evaluate the organized response to emergencies. The Standardized Emergency Response Incident Evaluation System (SERIES) model was employed to support practitioner evaluation of a fire service response to a simulated high-rise building fire. A comprehensive dataset representing quantitative and qualitative characteristics of the emergency response is established through content analysis of documents produced during the response and interviews with responders post-incident. Data are encoded within a standardized framework employing network theory. This dataset is then evaluated by fire service subject matter experts to identify learning outcomes relevant to emergency response effectiveness and organizational development. The results demonstrate that emergency response management system data can be collected and stored within a standardized framework. The results also demonstrate that not only can the resultant dataset support the identification of a range of learning outcomes by fire service practitioners, but that this approach can lead to a more comprehensive understanding of the response and deeper learning than that provided by existing evaluation methods.

scholarly journals Big Data and what it means for evaluating integrated care programmes

2019 ◽  
Vol 27 (3) ◽  
pp. 249-258 ◽  
Author(s):  
Axel Kaehne
Keyword(s):  
Big Data ◽  
Integrated Care ◽  
Evaluation Studies ◽  
Model Development ◽  
Dynamic Modelling ◽  
Data Availability ◽  
Data Generation ◽  
Content Type ◽  
Care Integration ◽  
The Way

Purpose Big Data is likely to have significant implications for the way in which services are planned, organised or delivered as well as the way in which we evaluate them. The increase in data availability creates particular challenges for evaluators in the field of integrated care and the purpose of this paper is to set out how we may usefully reframe these challenges in the longer term. Design/methodology/approach Using the characteristics of Big Data as defined in the literature, the paper develops a narrative around the data and research design challenges and how they influence evaluation studies in the field of care integration. Findings Big Data will have significant implications for how we conduct integrated care evaluations. In particular, dynamic modelling and study designs capable of accommodating new epistemic foundations for the phenomena of social organisations, such as emergence and feedback loops, are likely to be most helpful. Big Data also generates opportunities for exploratory data analysis approaches, as opposed to static model development and testing. Evaluators may find research designs useful that champion realist approaches or single-n designs. Originality/value This paper reflects on the emerging literature and changing practice of data generation and data use in health care. It draws on organisational theory and outlines implications of Big Data for evaluating care integration initiatives.

scholarly journals Factors Driving Citizen Engagement With Government TikTok Accounts During the COVID-19 Pandemic: Model Development and Analysis

10.2196/21463 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e21463
Author(s):  
Qiang Chen ◽  
Chen Min ◽  
Wei Zhang ◽  
Xiaoyue Ma ◽  
Richard Evans
Keyword(s):  
Social Media ◽  
Information Dissemination ◽  
Emergency Services ◽  
Negative Binomial ◽  
Model Development ◽  
Emotional Valence ◽  
Citizen Engagement ◽  
Web Crawler ◽  
Content Type ◽  
Social Media Platforms

Background During the COVID-19 pandemic, growth in citizen engagement with social media platforms has enabled public health departments to accelerate and improve health information dissemination, developing transparency and trust between governments and citizens. In light of these benefits, it is imperative to learn the antecedents and underlying mechanisms for this to maintain and enhance engagement. Objective The aim of this study is to determine the factors and influencing mechanisms related to citizen engagement with the TikTok account of the National Health Commission of China during the COVID-19 pandemic. Methods Using a web crawler, 355 short videos were collected from the Healthy China account on TikTok (with more than 3 million followers throughout China), covering the period from January 21, 2020, to April 25, 2020. The title and video length, as well as the number of likes, shares, and comments were collected for each video. After classifying them using content analysis, a series of negative binomial regression analyses were completed. Results Among the 355 videos, 154 (43.4%) related to guidance for clinicians, patients, and ordinary citizens, followed by information concerning the government’s handling of the pandemic (n=100, 28.2%), the latest news about COVID-19 (n=61, 17.2%), and appreciation toward frontline emergency services (n=40, 11.3%). Video length, titles, dialogic loop, and content type all influenced the level of citizen engagement. Specifically, video length was negatively associated with the number of likes (incidence rate ratio [IRR]=0.19, P<.001) and comments (IRR=0.39, P<.001). Title length was positively related to the number of shares (IRR=24.25, P=.01), likes (IRR=8.50, P=.03), and comments (IRR=7.85, P=.02). Dialogic loop negatively predicted the number of shares (IRR=0.56, P=.03). In comparison to appreciative information, information about the government’s handling of the situation (IRR=5.16, P<.001) and guidelines information (IRR=7.31, P<.001) were positively correlated with the number of shares, while the latest news was negatively related to the number of likes received (IRR=0.46, P=.004). More importantly, the relationship between predictors and citizen engagement was moderated by the emotional valence of video titles. Longer videos with positive titles received a higher number of likes (IRR=21.72, P=.04) and comments (IRR=10.14, P=.047). Furthermore, for short videos related to government handling of the pandemic (IRR=14.48, P=.04) and guidance for stakeholders (IRR=7.59, P=.04), positive titles received a greater number of shares. Videos related to the latest news (IRR=66.69, P=.04) received more likes if the video title displayed higher levels of positive emotion. Conclusions During the COVID-19 pandemic, videos were frequently published on government social media platforms. Video length, title, dialogic loop, and content type significantly influenced the level of citizen engagement. These relationships were moderated by the emotional valence of the video’s title. Our findings have implications for maintaining and enhancing citizen engagement via government social media.

An integrated response model for business disruption

2019 ◽  
Vol 8 (3) ◽  
pp. 259-263
Author(s):  
Phillip Wilson ◽  
Karen Klockner
Keyword(s):  
Emergency Response ◽  
Emergency Services ◽  
Response Model ◽  
Operational Effectiveness ◽  
Content Type ◽  
Strategic Risk ◽  
Road Crash ◽  
Integrated Response ◽  
Commonwealth Games ◽  
Emergency Response Model

Purpose The purpose of this paper is to discuss the planning and use of an all-hazards emergency services approach to business disruption, which resulted from the hosting of the 2018 Commonwealth Games (GC2018) by Australia. It outlines how this emergency response model worked and how it can be transitioned into other operational areas. Design/methodology/approach Although the Commonwealth Games provided a unique opportunity for Australia to showcase its large event capability, it also highlighted the need for innovation due to business disruption for front-line emergency response agencies. The Queensland Fire and Emergency Services (QFES) was faced with the need to review the standard emergency response model and to come up with a way to maintain business as usual operational effectiveness. Findings An all-hazards approach to emergency response was ultimately achieved through expanded air operations (helicopters), the use of a multi-agency approach and the use of volunteers to achieve strategic risk management outcomes. Practical implications The practical solutions that emerged are discussed as the expanded response model and collaborative engagements to achieve risk reduction, readiness and preparation. Originality/value The solution to utilise an integrated emergency response methodology, including rapid and effective aerial support, reflected an all-hazards response to include deployment to road crash rescue, hazardous materials and structural fires. This business model ensured that QFES continued to meet its established “operational excellence” standards while pioneering options to address incident responses within the community wherein circumstances are considered exceptional.

Fiji's participation in the global coconut value chain: opportunities and challenges

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jessie Lin
Keyword(s):  
Mixed Methods ◽  
Value Chain ◽  
Institutional Quality ◽  
Data Availability ◽  
Primary Data ◽  
Structured Interviews ◽  
Content Type ◽  
Mixed Methods Approach ◽  
Challenges And Opportunities ◽  
The Government

PurposeThis paper explores the institutional challenges and opportunities in Fiji's integration into the global value chain. Fiji is naturally endowed with coconut palms across its many islands. However, the coconut sector remains rudimentary with little value-addition. Coconut products of high-value are now being produced and exported throughout the world. While many coconut producing countries have benefitted from this coconut demand surge, Fiji has been unable to benefit from the international market.Design/methodology/approachThis study utilizes a mixed-methods approach to analyze the challenges and opportunities. First, an analysis is done on a macro-level at the link between institutional quality and Fiji's export of coconut products. Then, primary data is collected with semi-structured interviews with key stakeholder groups in regions of Fiji. The goal is to gain an understanding of the perceived challenges and opportunities from each actor.FindingsThe empirical results show that institutional quality matters for Fiji's coconut exports. Increased scores in the government effectiveness and voice and accountability indicators enhance coconut exports from Fiji, suggesting that domestic institutions play an important role. Interviews with key actors reveal that communications among each stakeholder group are fragmented. The main institutional actors and the producers have different perceptions of the industry's challenges, thus resulting in different ideas on how to address the issues.Research limitations/implicationsThis study is limited by the data availability of coconut production and trade volume of more specific products. Furthermore, due to the transportation and weather constraints during our visit to Fiji, certain parts of the island were not accessible.Originality/valueThis paper uses a mixed-methods approach to assess a specific case study.

An empirical study on the performance evaluation of scientific data sharing platforms in China

2015 ◽  
Vol 33 (2) ◽  
pp. 211-229 ◽  
Author(s):  
Li Si ◽  
Yueting Li ◽  
Xiaozhe Zhuang ◽  
Wenming Xing ◽  
Xiaoqin Hua ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Data Sharing ◽  
Data Center ◽  
Evaluation System ◽  
Meteorological Data ◽  
Indicator System ◽  
Scientific Data ◽  
Data Availability ◽  
Science Data ◽  
Content Type

Purpose – The purpose of this paper is to conduct performance evaluation of eight main scientific data sharing platforms in China and find existing problems, thus providing reference for maximizing the value of scientific data and enhancing scientific research efficiency. Design/methodology/approach – First, the authors built an evaluation indicator system for the performance of scientific data sharing platforms. Next, the analytic hierarchy process was employed to set indicator weights. Then, the authors use experts grading method to give scored for each indicator and calculated the scoring results of the scientific data sharing platform performance evaluation. Finally, an analysis of the results was conducted. Findings – The performance evaluation of eight platforms is arranged by descending order by the value of F: the Data Sharing Infrastructure of Earth System Science (76.962), the Basic Science Data Sharing Center (76.595), the National Scientific Data Sharing Platform for Population and Health (71.577), the China Earthquake Data Center (66.296), the China Meteorological Data Sharing Service System (65.159), the National Agricultural Scientific Data Sharing Center (55.068), the Chinese Forestry Science Data Center (56.894) and the National Scientific Data Sharing & Service Network on Material Environmental Corrosion (Aging) (52.528). And some existing shortcomings such as the relevant policies and regulation, standards of data description and organization, data availability and the services should be improved. Originality/value – This paper is mainly discussing about the performance evaluation system covering operation management, data resource, platform function, service efficiency and influence of eight scientific data sharing centers and made comparative analysis. It reflected the reality development of scientific data sharing in China.

Organisational features and their effect on the perceived performance of emergency management organisations

2014 ◽  
Vol 23 (3) ◽  
pp. 222-242 ◽  
Author(s):  
Roshan Bhakta Bhandari ◽  
Christine Owen ◽  
Benjamin Brooks
Keyword(s):  
New Zealand ◽  
Theoretical Model ◽  
Emergency Management ◽  
Emergency Response ◽  
Emergency Services ◽  
Content Type ◽  
Emergency Operations ◽  
Management Personnel ◽  
Response Capacity ◽  
Response Performance

Purpose – This study reports on a survey of experienced emergency management personnel in Australia and New Zealand to identify the influence of organisational features in perceived emergency management performance. The purpose of this paper is to analyse the influence of organisational features in emergency response performance and to discuss how this knowledge can be used to enhance the response capacity of emergency services organisations. Design/methodology/approach – Based on a review of the literature, a conceptual theoretical model for organisational performance is first developed based on four organisational features found to be previously important in emergency management organisation. These are, adaptability, leadership, stability (mission and direction) and stakeholder communication. An organisational survey was distributed to all 25 fire and emergency services agencies in Australia and New Zealand which included indicators of these elements. Responses were received from experienced emergency management personnel from fire and emergency services agencies. The sample was stratified into the three main organisational types, namely, established, expanding and extending organisations. Findings – The findings reveal that the predictive significance of organisational features in emergency response performance vary among established, expanding and extending organisations. The predictive significance of stability, adaptability and leadership for perceived success is strong in all organisational types. It is interesting to note that the predictive significance of communication with external stakeholders is low in all organisation types. This indicates the preference of emergency services agencies to look internally within their own operations than externally to build relationships with different specialism. Originality/value – The theoretical model in this study makes a first attempt to understand the role of organisational features in emergency response performance of organisations in Australia and New Zealand. This work contributes to theorizing emergency operations by highlighting how organisations need to manage two orientations simultaneously: their own internal as well as external orientations, together with their processes for managing both mission and direction and the need for change and flexibility.

IMPLEMENTATIONS EMERGENCY RESPONSE SYSTEM IN CASE OF ACCIDENTS AND EMERGENCY SITUATIONS (ERA-GLONASS) FOR CARS AND TRUCKS IN UZBEKISTAN

2020 ◽  
Author(s):  
Akmal Rustamov
Keyword(s):  
Emergency Response ◽  
Call Center ◽  
Emergency Services ◽  
Main Idea ◽  
Emergency Situation ◽  
High Mountain ◽  
Additional Information ◽  
Emergency Situations ◽  
Emergency Response System ◽  
Response System

The paper addresses the problem of increasing transportation safety due to usage of new possibilities provided by modern technologies. The proposed approach extends such systems as ERA-GLONASS and eCall via service network composition enabling not only transmitting additional information but also information fusion for defining required emergency means as well as planning for a whole emergency response operation. The main idea of the approach is to model the cyber physical human system components by sets of services representing them. The services are provided with the capability of self- contextualization to autonomously adapt their behaviors to the context of the car-driver system. The approach is illustrated via an accident emergency situation response scenario. “ERA-GLONASS” is the Russian state emergency response system for accidents, aimed at improving road safety and reducing the death rate from accidents by reducing the time for warning emergency services. In fact, this is a partially copied European e Call system with some differences in the data being transmitted and partly backward compatible with the European parent. The principle of the system is quite simple and logical: in the event of an accident, the module built into the car in fully automatic mode and without human intervention determines the severity of the accident, determines the vehicle’s location via GLONASS or GPS, establishes connection with the system infrastructure and in accordance with the protocol, transfers the necessary data on the accident (a certain distress signal). Having received the distress signal, the employee of the call center of the system operator should call the on-board device and find out what happened. If no one answers, send the received data to Sistema-112 and send it to the exact coordinates of the team of rescuers and doctors, and the last one to arrive at the place is given 20 minutes. And all this, I repeat, without the participation of a person: even if people caught in an accident will not be able to independently call emergency services, the data on the accident will still be transferred. In this work intended to add some information about applying system project in Uzbek Roads especially mountain regions like “Kamchik” pass. The Kamchik Pass is a high mountain pass at an elevation of 2.306 m above the sea level, located in the Qurama Mountains in eastern Uzbekistan and its length is about 88km.The road to reach the pass is asphalted, but there are rough sections where the asphalt has disappeared. It’s called A373. The old road over the pass was by passed by a tunnel built in 1999. On the horizon, the snow-capped peaks of the Fan Mountains come into view. The pass is located in the Fergana Valley between the Tashkent and Namangan Regions.

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