{"title":"A Heuristic Model of Network-Based Group Decision Making for E-Services","authors":"Wei-Lun Chang, Yi-Ping Lo, Yu-Ting Hong","doi":"10.1109/ITNG.2009.140","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":347761,"journal":{"name":"2009 Sixth International Conference on Information Technology: New Generations","volume":"54 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Sixth International Conference on Information Technology: New Generations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNG.2009.140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
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.