{"title":"使用现场灾难演习研究极端环境下的大型多团队系统:方法和测量拟合","authors":"S. Waring","doi":"10.1177/2041386619892262","DOIUrl":null,"url":null,"abstract":"Multiteam systems (MTSs) are comprised of two or more teams working toward shared superordinate goals but with unique subgoals. In large MTSs operating in extreme environments, coordination difficulties have repeatedly been found, which compromise response effectiveness. Research is needed that examines MTSs in situ within extreme environments to develop temporal theories of inter-team processes and understanding of how coordination may be improved within these challenging contexts. Live disaster exercises replicate the complexities of extreme environments, providing a valuable avenue for observing inter-team processes in situ. This article seeks to contribute to MTS research by highlighting (i) a mixed-method framework for collecting data during live disaster exercises that uses both inductive and deductive approaches to promote methodological and measurement fit; (ii) ways in which data can be collected and combined to meet the appropriate standards of their methodological class; and (iii) a case example of a National exercise.","PeriodicalId":46914,"journal":{"name":"Organizational Psychology Review","volume":null,"pages":null},"PeriodicalIF":3.9000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/2041386619892262","citationCount":"6","resultStr":"{\"title\":\"Using live disaster exercises to study large multiteam systems in extreme environments: Methodological and measurement fit\",\"authors\":\"S. Waring\",\"doi\":\"10.1177/2041386619892262\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiteam systems (MTSs) are comprised of two or more teams working toward shared superordinate goals but with unique subgoals. In large MTSs operating in extreme environments, coordination difficulties have repeatedly been found, which compromise response effectiveness. Research is needed that examines MTSs in situ within extreme environments to develop temporal theories of inter-team processes and understanding of how coordination may be improved within these challenging contexts. Live disaster exercises replicate the complexities of extreme environments, providing a valuable avenue for observing inter-team processes in situ. This article seeks to contribute to MTS research by highlighting (i) a mixed-method framework for collecting data during live disaster exercises that uses both inductive and deductive approaches to promote methodological and measurement fit; (ii) ways in which data can be collected and combined to meet the appropriate standards of their methodological class; and (iii) a case example of a National exercise.\",\"PeriodicalId\":46914,\"journal\":{\"name\":\"Organizational Psychology Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/2041386619892262\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organizational Psychology Review\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/2041386619892262\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Organizational Psychology Review","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/2041386619892262","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Using live disaster exercises to study large multiteam systems in extreme environments: Methodological and measurement fit
Multiteam systems (MTSs) are comprised of two or more teams working toward shared superordinate goals but with unique subgoals. In large MTSs operating in extreme environments, coordination difficulties have repeatedly been found, which compromise response effectiveness. Research is needed that examines MTSs in situ within extreme environments to develop temporal theories of inter-team processes and understanding of how coordination may be improved within these challenging contexts. Live disaster exercises replicate the complexities of extreme environments, providing a valuable avenue for observing inter-team processes in situ. This article seeks to contribute to MTS research by highlighting (i) a mixed-method framework for collecting data during live disaster exercises that uses both inductive and deductive approaches to promote methodological and measurement fit; (ii) ways in which data can be collected and combined to meet the appropriate standards of their methodological class; and (iii) a case example of a National exercise.
期刊介绍:
Organizational Psychology Review is a quarterly, peer-reviewed scholarly journal published by SAGE in partnership with the European Association of Work and Organizational Psychology. Organizational Psychology Review’s unique aim is to publish original conceptual work and meta-analyses in the field of organizational psychology (broadly defined to include applied psychology, industrial psychology, occupational psychology, organizational behavior, personnel psychology, and work psychology).Articles accepted for publication in Organizational Psychology Review will have the potential to have a major impact on research and practice in organizational psychology. They will offer analyses worth citing, worth following up on in primary research, and worth considering as a basis for applied managerial practice. As such, these should be contributions that move beyond straight forward reviews of the existing literature by developing new theory and insights. At the same time, however, they should be well-grounded in the state of the art and the empirical knowledge base, providing a good mix of a firm empirical and theoretical basis and exciting new ideas.