Dynamic Collective Work [Guest editors' introduction]
The Internet's growth, and the proliferation of online collaboration tools and platforms and the federated systems that support them, have enabled ad hoc processes in which people interact in a dynamic collective way. Such activities are characterized by their flexibility and data-driven nature...
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Veröffentlicht in: | IEEE internet computing 2013-09, Vol.17 (5), p.6-9 |
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creator | Lakshmanan, G. T. Khalaf, R. Dustdar, S. |
description | The Internet's growth, and the proliferation of online collaboration tools and platforms and the federated systems that support them, have enabled ad hoc processes in which people interact in a dynamic collective way. Such activities are characterized by their flexibility and data-driven nature, which makes them more difficult to analyze and support than traditionally rigid processes. Systems that handle dynamic collective work activities must address three main challenges: finding patterns in ad hoc execution behavior, handling concurrent users and concurrently executing tasks, and providing operational support. This special issue provides a snapshot of ongoing work in this area that addresses these challenges. |
doi_str_mv | 10.1109/MIC.2013.94 |
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T.</au><au>Khalaf, R.</au><au>Dustdar, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Collective Work [Guest editors' introduction]</atitle><jtitle>IEEE internet computing</jtitle><stitle>MIC</stitle><date>2013-09-01</date><risdate>2013</risdate><volume>17</volume><issue>5</issue><spage>6</spage><epage>9</epage><pages>6-9</pages><issn>1089-7801</issn><eissn>1941-0131</eissn><coden>IICOFX</coden><abstract>The Internet's growth, and the proliferation of online collaboration tools and platforms and the federated systems that support them, have enabled ad hoc processes in which people interact in a dynamic collective way. Such activities are characterized by their flexibility and data-driven nature, which makes them more difficult to analyze and support than traditionally rigid processes. 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subjects | Collaborative work dynamic collective work Knowledge management knowledge workers online collaboration Online services Special issues and sections Teamworking Workflow management software workflows |
title | Dynamic Collective Work [Guest editors' introduction] |
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