2019-01-012024-05-17https://scholars.lib.ntu.edu.tw/handle/123456789/672786摘要：世界各國政府越來越多地利用群眾的智慧通過社交媒體解決公共問題（Saxton等人，2013年），如眾包（Liu 2017a）和開放式創新（Liu 2017b）。現有的研究討論了引導用戶效應（Mart&#237;nez-Torres 2014），社會學習效應（Albors等人，2008），以及通過在線參與產生建設性思想的集體智慧效應（Kozinets等人，2008）。通過應用社交網絡分析，本研究將揭示決定或緩和在線創意產生結果的不太明顯的網絡效應。更具體地說，這項研究將測試網絡中心性（Simula和Ahola 2014），位置（Grewal等人2006）和結構（Gonzalez-Bailon等人2010）如何與創意產生相關聯。<br> Abstract: Governments around the world increasingly utilize the wisdom of crowds for resolving public problems through social media (Saxton et al. 2013), such as crowdsourcing (Liu 2017a) and open innovation (Liu 2017b). Existing studies debate about the lead-user effect (Mart&#237;nez-Torres 2014), social learning effect (Albors et al. 2008), and collective intelligence effect (Kozinets et al. 2008) on generating constructive ideas through online participation. By applying social network analysis, this study will reveal the less visible network effects that determine or moderate the outcomes of online idea generation. More specifically, this study will test how network centrality (Simula and Ahola 2014), position (Grewal et al. 2006), and structure (Gonzalez-Bailon et al. 2010) are associated with idea generation.眾包社交網絡分析crowdsourcingsocial network analysis