A Heuristic Model of Network-Based Group Decision Making for E-Services

Decision making in groups can ease personal biases which enables the participants discuss, argue and coordinate the ideas of coalitions. The final outcome of a group decision making process reaches a consensus decision. However, using one particular model should not preclude the consideration of oth...

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Bibliographic Details
Published in2009 Sixth International Conference on Information Technology: New Generations pp. 326 - 331
Main Authors Wei-Lun Chang, Yi-Ping Lo, Yu-Ting Hong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
collective intelligence
Creep
Decision making
Delphi method
Extrapolation
group decision making
Information technology
Intelligent networks
Predictive models
Social network
Social network services
Technology forecasting
Voting
Winches
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Summary:Decision making in groups can ease personal biases which enables the participants discuss, argue and coordinate the ideas of coalitions. The final outcome of a group decision making process reaches a consensus decision. However, using one particular model should not preclude the consideration of other models or other means of assessing group decision making. This study aims to provide a Delphi-based group decision model of collective intelligence. Many research mainly focus on how to attain the consensus; however, rarely further investigate the expert selection process. Hence, this work (1) furnishes a group decision process that takes into account the people from social network, (2) empowers the collective intelligence from social network, and (3) leverages the decision effort of experts.
ISBN:1424437709
9781424437702
DOI:10.1109/ITNG.2009.140