<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T06:25:36Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2445/147234" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2445/147234</identifier><datestamp>2025-12-05T10:58:59Z</datestamp><setSpec>com_2072_1057</setSpec><setSpec>col_2072_478917</setSpec><setSpec>col_2072_478932</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_2445-147234" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:2445/147234">
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                  <mods:namePart>Ramos-Villagrasa, Pedro J.</mods:namePart>
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                  <mods:namePart>Marques-Quinteiro, Pedro</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Navarro Cid, José</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Rico, Ramón</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2020-01-08T15:26:39Z2020-01-08T15:26:39Z2017-05-162020-01-08T15:26:39Z</mods:dateIssued>
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               <mods:abstract>At the turn of the century Arrow, McGrath, and Berdahl (2000) portrayed teams as complex adaptive systems (CAS). And yet, despite broad agreement that this approach facilitates a better understanding of teams, it has only now been timidly incorporated into team research. To help fully incorporate the logic of teams as CAS in the science of teams, we review extant research on teams' approached from a nonlinear dynamical system theory. Using a systematic review approach, we selected 92 articles published over the last 17 years, in order to integrate what we know about teams as CAS. Our review reveals the evidence supporting teams as CAS, and the set of analytical techniques to analyze team data from this perspective. Our work contributes to teams' theory and practice by offering ways to identify both research methods and managing techniques that scholars and practitioners may apply to study and manage teams as CAS.</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">(c) Ramos-Villagrasa, P. J. et al., 2017 info:eu-repo/semantics/openAccess</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Sistemes complexos</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Caos (Teoria de sistemes)</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Sistemes no lineals</mods:topic>
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               <mods:subject>
                  <mods:topic>Complex systems</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Chaotic behavior in systems</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Nonlinear systems</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Teams as Complex Adaptive Systems: Reviewing 17 Years of Research</mods:title>
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