Florian E. Klonek, Fabiola H. Gerpott, N. Lehmann-Willenbrock, S. Parker
{"title":"是时候疯狂了:如何用高分辨率概念化和衡量真实团队中的过程动态","authors":"Florian E. Klonek, Fabiola H. Gerpott, N. Lehmann-Willenbrock, S. Parker","doi":"10.1177/2041386619886674","DOIUrl":null,"url":null,"abstract":"Team processes are interdependent activities among team members that transform inputs into outputs, vary over time, and are critical for team effectiveness. Understanding the temporal dynamics of team processes and related team phenomena with a high-resolution lens (i.e., methods with high sampling rates) is particularly challenging when going “into the wild” (i.e., studying teams operating in their full situated context). We review quantitative field studies using high-resolution methods (e.g., video, chat/text data, archival, wearables) and map out the various temporal lenses for studying team dynamics. We synthesize these different lenses and present an integrated temporal framework that is of help in theorizing about team dynamics. We also provide readers with a “how to” guide that summarizes four essential steps along with analytical methods (e.g., sequential and pattern analyses, mixed-methods research, abductive reasoning) that are applicable to the broad scope of high-resolution methods.","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/10.1177/2041386619886674","citationCount":"31","resultStr":"{\"title\":\"Time to go wild: How to conceptualize and measure process dynamics in real teams with high-resolution\",\"authors\":\"Florian E. Klonek, Fabiola H. Gerpott, N. Lehmann-Willenbrock, S. Parker\",\"doi\":\"10.1177/2041386619886674\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Team processes are interdependent activities among team members that transform inputs into outputs, vary over time, and are critical for team effectiveness. Understanding the temporal dynamics of team processes and related team phenomena with a high-resolution lens (i.e., methods with high sampling rates) is particularly challenging when going “into the wild” (i.e., studying teams operating in their full situated context). We review quantitative field studies using high-resolution methods (e.g., video, chat/text data, archival, wearables) and map out the various temporal lenses for studying team dynamics. We synthesize these different lenses and present an integrated temporal framework that is of help in theorizing about team dynamics. We also provide readers with a “how to” guide that summarizes four essential steps along with analytical methods (e.g., sequential and pattern analyses, mixed-methods research, abductive reasoning) that are applicable to the broad scope of high-resolution methods.\",\"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/10.1177/2041386619886674\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Organizational Psychology Review\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/2041386619886674\",\"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/10.1177/2041386619886674","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
Time to go wild: How to conceptualize and measure process dynamics in real teams with high-resolution
Team processes are interdependent activities among team members that transform inputs into outputs, vary over time, and are critical for team effectiveness. Understanding the temporal dynamics of team processes and related team phenomena with a high-resolution lens (i.e., methods with high sampling rates) is particularly challenging when going “into the wild” (i.e., studying teams operating in their full situated context). We review quantitative field studies using high-resolution methods (e.g., video, chat/text data, archival, wearables) and map out the various temporal lenses for studying team dynamics. We synthesize these different lenses and present an integrated temporal framework that is of help in theorizing about team dynamics. We also provide readers with a “how to” guide that summarizes four essential steps along with analytical methods (e.g., sequential and pattern analyses, mixed-methods research, abductive reasoning) that are applicable to the broad scope of high-resolution methods.
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.