時(shí)間：11月29日（周一）上午9:30-11:30
騰訊會(huì)議號(hào)：211 160 268
報(bào)告人簡介：
洪一立現(xiàn)任美國休斯頓大學(xué)C. T. Bauer人工智能與數(shù)字社會(huì)講席教師，商學(xué)院博士項(xiàng)目主管。洪教授2014年畢業(yè)于美國天普大學(xué)福克斯商學(xué)院管理科學(xué)系，獲得管理信息系統(tǒng)博士學(xué)位。洪教授于2018年在亞利桑那州立大學(xué)凱瑞商學(xué)院破格晉升為副教授（終身教授）。在2020年加入休斯頓大學(xué) C. T. Bauer商學(xué)院任正教授（終身教授）。
洪教授的研究領(lǐng)域包括互聯(lián)網(wǎng)金融、人機(jī)交互、人工智能、共享經(jīng)濟(jì)、數(shù)字平臺(tái)、數(shù)字經(jīng)濟(jì)、在線社交媒體、及互聯(lián)網(wǎng)用戶行為。洪教授目前擔(dān)任國際商科知名學(xué)術(shù)刊物《生產(chǎn)和運(yùn)營管理》(POM)的資深編輯，《信息系統(tǒng)研究雜志》(ISR)和《信息系統(tǒng)協(xié)會(huì)雜志》(JAIS)的副編輯。洪教授的研究成果在各大國際會(huì)議上獲得最佳論文獎(jiǎng)。洪教授的論文還獲得了2014年的2項(xiàng)信息系統(tǒng)領(lǐng)域最佳博士論文獎(jiǎng)。洪教授的研究在《Management Science》、《Information Systems Research》、《MIS Quarterly》、《Production and Operations Management》、《INFORMS Journal on Computing》等眾多國際知名學(xué)術(shù)刊物上發(fā)表。洪教授指導(dǎo)的博士生和博士后現(xiàn)在就職于美國和亞洲各大高校，如威斯康辛大學(xué)麥迪遜分校，杜蘭大學(xué)，康涅的格大學(xué)，麻省大學(xué)，休斯頓大學(xué)，中國人民大學(xué)，北京郵電大學(xué)等。洪教授是多家科技創(chuàng)業(yè)企業(yè)和五百強(qiáng)的企業(yè)的學(xué)術(shù)和企業(yè)顧問，如阿里巴巴達(dá)摩院，邁金科技，Summer社交，美國的Lyft, 澳洲的Freelancer,日本的Fits.me, 美國華人創(chuàng)業(yè)的亞米網(wǎng)，和美國在線教育企業(yè)Picmonic公司等。
報(bào)告內(nèi)容摘要：
Online platforms for synchronized content, such as live streaming, have gained considerable popularity most recently. These platforms involve engaging a large number of users and facilitate their interactions in a real-time setting. One key difference between asynchronous platforms (e.g., Reddit, Wikipedia) and synchronous platforms (e.g., Twitch, Youtube Live) is the real-time interactivity. As group size increases, real-time interactivity scales rapidly, making the engagement interface erratic and fast-paced. While the existing literature finds that the group size of peers has a positive effect on user engagement on asynchronous platforms, how group size affects synchronous interactions, particularly with the presence of bot and human moderators, is unclear. In this work, we leverage exogenous increases in live streaming viewers (from the Raid function in Twitch), to empirically examine how group size affects viewers’ real-time engagement and how moderators affect this relationship. Collecting and analyzing entire chat histories of 8,396 playbacks on Twitch, our results suggest that a) the live streaming channel generally engages more viewers after group size increases; b) however, existing viewers (users are already in the live streaming channel before the Raid) tend to engage less after the increases in group size; c) there are more diverse topics covered in the chat room after group size increases; and d) live streaming channels adopting bot moderators can better sustain viewer engagement after group size increases while human moderator can better organize the chat content. The findings in this paper indicate a congestion effect of increasing group size viewer engagement in the synchronous communication setting and suggest the beneficial role of content moderators, which extends the prior literature on user engagement in online platforms.
（承辦：管理工程系、科研與學(xué)術(shù)交流中心）
