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Collective intelligence for idea management with Internet‐based information aggregation markets

Efthimios Bothos (Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece)
Dimitris Apostolou (University of Piraeus, Piraeus, Greece)
Gregoris Mentzas (Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece)

Internet Research

ISSN: 1066-2243

Article publication date: 30 January 2009

1867

Abstract

Purpose

The purpose of this paper is to explore the use of information aggregation markets (IAMs) for community‐based idea management and to present IDeM, a novel Internet‐based software tool that can be used for generating and evaluating new ideas utilizing the concept of IAMs.

Design/methodology/approach

Starting with a review of existing methods for collective intelligence, IAMs are identified as a prominent method for collective intelligence. Specific requirements for exploring IAMs for idea management are derived. Based on these requirements, a software tool for implementing IAMs in the context of idea management is developed (IDeM). IDeM has been evaluated and evaluation results are used to identify IDeM's benefits and limitations. A review of related work points out the innovative characteristics of IDeM.

Findings

Evaluation results indicate that IAMs is an efficient method for idea generation and evaluation. Moreover IDeM is perceived both as easy to use and efficient in supporting idea generation and evaluation.

Practical implications

IDeM can be used by commercial or other organizations for supporting generation and evaluation of new ideas.

Originality/value

IDeM's innovative aspects are: in addition to trading, it allows users involvement by means of new idea submission, rating of ideas and commenting on ideas; it confronts the uncertainty of new idea related events by offering an expert based valuation mechanism.; and it extends the typical output of IAM tools – which is price of idea‐stocks – by calculating the volume weighted average price.

Keywords

Citation

Bothos, E., Apostolou, D. and Mentzas, G. (2009), "Collective intelligence for idea management with Internet‐based information aggregation markets", Internet Research, Vol. 19 No. 1, pp. 26-41. https://doi.org/10.1108/10662240910927803

Publisher

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Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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