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Group Wisdom Support Systems: Aggregating the Insights of many trough Information Technology
Journal
Issues in Information Systems (IIS)
ISSN-Digital
1529-7314
Type
journal article
Date Issued
2008-10-01
Author(s)
Wagner, Christian
Research Team
IWI3
Abstract
Evidence from a variety of domains suggests that the wisdom of crowds, the aggregated insights and judgments of large groups of non-experts, can generate results that are equal or better to those of experts. Traditionally, aggregating the insights of many has been a tedious and often infeasible task. Even the group decision support systems of a few years ago were not ready for this challenge. They would usually only facilitate small or medium sized groups and not easily scale. Recent developments in ICTs, however have made the access to large groups of diverse individuals significantly more feasible, suggesting the feasibility of group wisdom support systems (GWSSs). Within this article we determine key requirements for a GWSS, based on the characteristics to be fulfilled for collective intelligence to successfully emerge. We then discuss specific system requirements for two types of systems, a Type 1 numeric belief aggregation system, and a Type 2 knowledge aggregation system. Type 1, represented for instance by prediction markets is relatively simpler, while Type 2, represented for instance by wiki-like mechanisms, is considerable more complex (not necessarily in the software, but in the processes that make the system work). The article concludes with design suggestions.
Language
English
Keywords
Knowledge Management
HSG Classification
not classified
Refereed
Yes
Publisher
International Association for Computer Information Systems
Publisher place
Stillwater, Okla.
Volume
9
Number
2
Start page
343
End page
350
Pages
8
Official URL
Subject(s)
Division(s)
Eprints ID
67617
File(s)