DocumentCode :
3651115
Title :
Supporting Collaborative Decision Processes
Author :
Roman Vaculín;Richard Hull;Maja Vukovic;Terry Heath;Nathaniel Mills; Yutian Sun
Author_Institution :
IBM T.J. Watson Res. Center, Hawthorne, NY, USA
fYear :
2013
fDate :
6/1/2013 12:00:00 AM
Firstpage :
651
Lastpage :
658
Abstract :
Collaborative Decision Processes focus on long-running, multi-faceted decisions (e.g., the planning and approval process for a municipal development project) made by teams of people. Such decisions can draw on the crowd in a variety of ways, by enabling large-scale on-line brainstorming, crowd-sourced queries, and text mining to determine public sentiments and derive new insights. Such decision processes consist of a combination of structured and highly unconstrained, human-drive activities. This paper describes a framework and a prototype system for support of collaborative decision processes based on declarative, data-centric dynamic artifacts and Advanced Case Management.
Keywords :
"Collaboration","GSM","Motion pictures","Data models","Planning","Proposals"
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2013 IEEE International Conference on
Type :
conf
DOI :
10.1109/SCC.2013.26
Filename :
6649753
Link To Document :
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