Knowledge-centered design of decision support systems for emergency management
This paper focuses on the design of decision support systems for emergency managers in charge of planning, coordinating and controlling the actions carried out to respond to a critical situation. A novel knowledge-centered design methodology is proposed and demonstrated through the application in a...
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Veröffentlicht in: | Decision Support Systems 2013-04, Vol.55 (1), p.336-347 |
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description | This paper focuses on the design of decision support systems for emergency managers in charge of planning, coordinating and controlling the actions carried out to respond to a critical situation. A novel knowledge-centered design methodology is proposed and demonstrated through the application in a concrete case study in the field of pandemic flu emergency management. Knowledge-centered design is based on a rational and structured approach to the elicitation and modeling of the knowledge concerning the target environment, the application domain, the intended users, their tasks, and the specific activities that the decision support system is expected to provide. Our proposal aims at overcoming some of the limitations of user-centered and activity-centered design in the specific context of decision support systems. Knowledge-centered design is based on an iterative process that goes through four main phases, namely: target environment identification, domain understanding, user characterization, and functional analysis. The paper illustrates each phase in detail and discusses the application in the proposed case study.
► Design of decision support systems for emergency management is discussed. ► A general design methodology based on a knowledge-centered approach is proposed. ► A large case study concerning pandemic flu emergency management is presented. ► A multifaceted approach to the evaluation of decision support systems is proposed. |
doi_str_mv | 10.1016/j.dss.2013.01.022 |
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► Design of decision support systems for emergency management is discussed. ► A general design methodology based on a knowledge-centered approach is proposed. ► A large case study concerning pandemic flu emergency management is presented. ► A multifaceted approach to the evaluation of decision support systems is proposed.</description><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Case studies</subject><subject>Computer science; control theory; systems</subject><subject>Control systems</subject><subject>Current carriers</subject><subject>Decision support systems</subject><subject>Decision theory. Utility theory</subject><subject>Design engineering</subject><subject>Emergency management</subject><subject>Emergency services</subject><subject>Epidemiology</subject><subject>Exact sciences and technology</subject><subject>General aspects</subject><subject>Influenza</subject><subject>Information systems. Data bases</subject><subject>Knowledge engineering</subject><subject>Knowledge management</subject><subject>Knowledge-centered design</subject><subject>Medical sciences</subject><subject>Memory organisation. Data processing</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Pandemics</subject><subject>Phases</subject><subject>Proposals</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Risk theory. Actuarial science</subject><subject>Software</subject><subject>Studies</subject><subject>Systems design</subject><subject>Tasks</subject><issn>0167-9236</issn><issn>1873-5797</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kMFq3DAQhkVoINtNHiA3Qyj0Yldj2ZJMTyWkTeiSXJKz0MrjRYstbTXehn37atmlhx4KAmnQN_8MH2O3wCvgIL9sq56oqjmIikPF6_qCLUArUbaqUx_YIjOq7Gohr9hHoi3nUigtF-z5Z4jvI_YbLB2GGRP2RY_kN6GIQ345Tz6Ggva7XUxzQQeacaJiiKnACdMGgzsUkw12k8swX7PLwY6EN-d7yd6-P7zeP5arlx9P999WpRNaz6UCaK0UKDsQLUqH1vHaNdBoydveQS1Qg7XKgeWOc63a_A3o1kIqXIMSS_b5lLtL8dceaTaTJ4fjaAPGPRloGq2g7VST0bt_0G3cp5C3M3l4Pi3oNlNwolyKRAkHs0t-sulggJujYbM12bA5GjYcTDacez6dky05Ow7Jhqzrb2OtRAcNP3JfTxxmI789JkPOZ3HY-4RuNn30_5nyB1wYj_0</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Fogli, Daniela</creator><creator>Guida, Giovanni</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20130401</creationdate><title>Knowledge-centered design of decision support systems for emergency management</title><author>Fogli, Daniela ; Guida, Giovanni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c388t-7115a63e69135e6ceac02c4148605dc123e81aa7c1a0c0087502c1ecb367eb173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Case studies</topic><topic>Computer science; control theory; systems</topic><topic>Control systems</topic><topic>Current carriers</topic><topic>Decision support systems</topic><topic>Decision theory. Utility theory</topic><topic>Design engineering</topic><topic>Emergency management</topic><topic>Emergency services</topic><topic>Epidemiology</topic><topic>Exact sciences and technology</topic><topic>General aspects</topic><topic>Influenza</topic><topic>Information systems. Data bases</topic><topic>Knowledge engineering</topic><topic>Knowledge management</topic><topic>Knowledge-centered design</topic><topic>Medical sciences</topic><topic>Memory organisation. Data processing</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Pandemics</topic><topic>Phases</topic><topic>Proposals</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Risk theory. Actuarial science</topic><topic>Software</topic><topic>Studies</topic><topic>Systems design</topic><topic>Tasks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fogli, Daniela</creatorcontrib><creatorcontrib>Guida, Giovanni</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision Support Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fogli, Daniela</au><au>Guida, Giovanni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Knowledge-centered design of decision support systems for emergency management</atitle><jtitle>Decision Support Systems</jtitle><date>2013-04-01</date><risdate>2013</risdate><volume>55</volume><issue>1</issue><spage>336</spage><epage>347</epage><pages>336-347</pages><issn>0167-9236</issn><eissn>1873-5797</eissn><coden>DSSYDK</coden><abstract>This paper focuses on the design of decision support systems for emergency managers in charge of planning, coordinating and controlling the actions carried out to respond to a critical situation. A novel knowledge-centered design methodology is proposed and demonstrated through the application in a concrete case study in the field of pandemic flu emergency management. Knowledge-centered design is based on a rational and structured approach to the elicitation and modeling of the knowledge concerning the target environment, the application domain, the intended users, their tasks, and the specific activities that the decision support system is expected to provide. Our proposal aims at overcoming some of the limitations of user-centered and activity-centered design in the specific context of decision support systems. Knowledge-centered design is based on an iterative process that goes through four main phases, namely: target environment identification, domain understanding, user characterization, and functional analysis. The paper illustrates each phase in detail and discusses the application in the proposed case study.
► Design of decision support systems for emergency management is discussed. ► A general design methodology based on a knowledge-centered approach is proposed. ► A large case study concerning pandemic flu emergency management is presented. ► A multifaceted approach to the evaluation of decision support systems is proposed.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.dss.2013.01.022</doi><tpages>12</tpages></addata></record> |
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subjects | Applied sciences Biological and medical sciences Case studies Computer science control theory systems Control systems Current carriers Decision support systems Decision theory. Utility theory Design engineering Emergency management Emergency services Epidemiology Exact sciences and technology General aspects Influenza Information systems. Data bases Knowledge engineering Knowledge management Knowledge-centered design Medical sciences Memory organisation. Data processing Operational research and scientific management Operational research. Management science Pandemics Phases Proposals Public health. Hygiene Public health. Hygiene-occupational medicine Risk theory. Actuarial science Software Studies Systems design Tasks |
title | Knowledge-centered design of decision support systems for emergency management |
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