Contributing Factors in the adoption of RFID in Emergency Management: A Multiple Case study

By presenting emergency management organizations of developed countries as early adopter of RFID in emergency management, this paper aims to minimize the disastrous impacts of emergencies currently faced by mankind; especially in developing countries. We conduct a study in the context of RFID adoption in emergency management and seek to answer the question - What are the contributing factors in the adoption of RFID in emergency management? In order to answer this question, a research framework is proposed by using a rather loose interpretation of task-technology fit (TTF) model. Multiple case study method has been employed to explore the contributing factors of RFID adoption. It is anticipated that the findings of this research will not only enhance the research in technology adoption, but also assist the emergency management organizations to better plan the adoption of pertinent technologies such as RFID for emergency operations

Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review

Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of \emph{animal welfare} in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of \emph{smart computing and sensing} is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare

Effects of Knowledge Management System in Disaster Management through RFID Technology Realization

AbstractBased on experiences through different disasters, particularly earthquakes in Iran, we can assume that one of the main problems is lack of an exact and efficient identification system through which the victims, especially all those under the debris can be identified. Type of knowledge related to the disastrous situation and the relevant technology to handle the knowledge, which can speed up the search, rescue, relief, and as a whole Disaster Management process are highly important. In this paper, we suggest Radio Frequency Identification System used in coordination with Oracle as Data Base Management System with a dedicated network system. Finally, due to the importance of technology and knowledge type and sharing, a Knowledge Management System model is proposed. The proposed model intends to focus on knowledge, human and technology-related issues of Emergency Coordination Center. Emergency Coordination Center is Disaster Management headquarters center in which Knowledge Management System model is designed to address its relevant issues and challenges

Evaluation of medical response in disaster preparedness : with special reference to full-scale exercises

Background: Disaster exercises and simulations serves as teaching and training tool for improving medical response in disaster preparedness. Rapid and effective medical response in major incidents is known as a “key phase” to optimise resources, and this requires that management systems have an “all hazards” approach. Decision-making at all levels of management is based on available information and involves allocation of medical resources and triage decisions. Aim: The overall aim of this thesis was to increase our knowledge of the impact of quantitative evaluation of medical response on disaster preparedness. The specific aims were: to increase the ability to learn from full-scale exercises by applying quality indicators at two levels of command and control (I, II); to identify key indicators essential for initial disaster medical response registration (III); to explore ambulance staff attitudes towards practising triage tagging (IV); and to increase our knowledge of the applicability of a technical support system and its potential to provide real-time, overall situation awareness available to those overseeing the medical management of the operation. Methods: Study I, II and V were observational studies based on data collections from full-scale exercises. Templates with measurable performance indicators for evaluation of command and control were used in Study I and II and the same performance indicators combined with outcome indicators was also included in Study II. A consensus method, the Delphi technique, with 30 experts was used in Study III. Study IV used mixed methods, a pre-and post web survey answered by ambulance nurses and physicians (n=57 respectively 57) before and after a time limited strategy with triage tags and three focus groups interviews comprising 21 ambulance nurses and emergency medical technicians. Study V used major two incidents simulations to test the applicability of Radio Frequency Identification (RFID tags) technology and compare it with traditionally paper-based triage tags (n= 20 respectively 20). The quantitative data were analysed using descriptive statistics, and content analysis was used for the qualitative data. Results: The evaluation model exposed several problems occurring in the initial decision-making process that were repeatedly observed (I, II). These results in study II also demonstrated to have a major impact on patient outcome.Out of 17 severely injured patients five respectively seven were at risk for preventable death. A total of 97 statements were generated, of these 77 statements reached experts consensus, and 20 did not (III). Ambulance staffs believe in the usefulness of standardised triage methods, but the sparse application of triage tags at the scene indicates that the tags are not used frequently. Infrequent use in daily practice prevents participants from feeling confident with the triage tool (IV).The Radio Frequency Identification system improved situational awareness in disaster management. Triage information was available at least one hour earlier compared to a paper-based triage system (V). Conclusions: The presented evaluation model can be used in an objective, systematic and reproducible way to evaluate complex medical responses, which is a prerequisite for quality assurance, identification of problems, and the development of disaster preparedness

Emerging Informatics

The book on emerging informatics brings together the new concepts and applications that will help define and outline problem solving methods and features in designing business and human systems. It covers international aspects of information systems design in which many relevant technologies are introduced for the welfare of human and business systems. This initiative can be viewed as an emergent area of informatics that helps better conceptualise and design new world-class solutions. The book provides four flexible sections that accommodate total of fourteen chapters. The section specifies learning contexts in emerging fields. Each chapter presents a clear basis through the problem conception and its applicable technological solutions. I hope this will help further exploration of knowledge in the informatics discipline

Strategies to Mitigate Supply Chain Disruptions in Grocery Businesses

Supply chains have become more complex in the global economy, which has made supply chain disruptions inevitable. Disruptions can cause loss of profitability and hinder business growth. The goal of this multiple case study was to explore strategies to mitigate the effects of disruption in grocery store supply chains. The conceptual framework for this study was the resource dependency theory, which stipulates that firms rely on other businesses in the external environment for critical resources to create a competitive edge. Four purposively selected participants from 4 grocery store businesses in Northwest Arkansas participated in semistructured interviews and provided organizational documentation for this study. The participants were supply chain managers who had knowledge about disruptions and had successfully mitigated disruptions in their grocery stores\u27 supply chains. Yin\u27s 5-step process was used to analyze data, which involved compiling the database, disassembling data, reassembling data, interpreting data, and making a conclusion. Four themes emerged from the data analysis: supply chain partners\u27 collaboration, multiple supply base and supplier qualification, inventory management, and information technology and communication. The uninterrupted flow of grocery merchandise to the community could result in a positive social change by helping to ensure that community members have timely access to food

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

This chapter deals with the development of a management system, which integrates the use of IoT in natural risk detection, revention, and management with economic evaluation of each stage. In the introductory part, recent data are presented that document the importance that natural disasters have for the environment and for the Italian economy. Section 2 presents the Inte.Ri.M. project—the Internet of Things for Natural Risk Management—its purpose, activity plan, and bodies involved. Technical aspects are treated in Section 3 with the choice of hardware and software components and the solutions for collecting and transmitting data. Section 4 is about the economic aspects considering the stages of prevention, intervention, and restoration and the relation between the intensity of human activity and environment to define a range of situations. These scenarios call for different economic methodologies useful to estimate economic implications of each stage in the short, medium, and long term. Section 5 describes the structure of the Inte.Ri.M. management system and the foreseen functionalities. In the conclusion, the critical points are discussed, and the steps for the transposition of the work carried out on the territory are outlined, according to the provisions of the work program

A Wearable Platform for Patient Monitoring during Mass Casualty Incidents

Based on physiological data, intelligent algorithms can assist with the classification and recognition of the most severely impaired victims. This dissertation presents a new sensorbased triage platform with the main proposal to join different sensor and communications technologies into a portable device. This new device must be able to assist the rescue units along with the tactical planning of the operation. This dissertation discusses the implementation and the evaluation of the platform

A Wearable Platform for Patient Monitoring during Mass Casualty Incidents

Based on physiological data, intelligent algorithms can assist with the classification and recognition of the most severely impaired victims. This book presents a new sensorbased triage platform with the main proposal to join different sensor and communications technologies into a portable device. This new device must be able to assist the rescue units along with the tactical planning of the operation. This work discusses the implementation and the evaluation of the platform

Horizon Report 2009

El informe anual Horizon investiga, identifica y clasifica las tecnologías emergentes que los expertos que lo elaboran prevén tendrán un impacto en la enseñanza aprendizaje, la investigación y la producción creativa en el contexto educativo de la enseñanza superior. También estudia las tendencias clave que permiten prever el uso que se hará de las mismas y los retos que ellos suponen para las aulas. Cada edición identifica seis tecnologías o prácticas. Dos cuyo uso se prevé emergerá en un futuro inmediato (un año o menos) dos que emergerán a medio plazo (en dos o tres años) y dos previstas a más largo plazo (5 años)