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【明理講堂2020年第10期】暨百家大講堂ONLINE系列專題學(xué)術(shù)講座6-24復(fù)旦大學(xué) 偉德國(guó)際1946bv官網(wǎng)盧向華教授:Consumer Voice in Technology-based Self-service Retailing: The role of Descriptive Social Norm and Personal Control Over SSTs

  報(bào)告人:盧向華 教授 復(fù)旦大學(xué)偉德國(guó)際1946bv官網(wǎng)

  國(guó)家自然基金優(yōu)秀青年基金項(xiàng)目獲得者

  時(shí)  間:6月24日(星期三)15:00-16:30

  會(huì)議號(hào):騰訊會(huì)議 823 921 615

  內(nèi)容簡(jiǎn)介:

  With the advancement of artificial intelligence, technology-based self-service retail is gaining increasingly popular in practice. Yet, consumers report being frustrated with types of self-service technology (SST) failures. Without service personnel on site to interact and help, one way to alleviate the adverse effects of technology failure is to urge consumer voice proactively. Based on nudge theory, this study seeks to leverage descriptive social norm information to motivate consumer voice. In addition, with the consideration that voice in staffless retailing context requires consumer competence on control over the SSTs, we further investigate the role of two related personality traits, self-efficacy and social dependency, on consumers’ voice behavior. A preliminary field experiment has been conducted, and the findings support the motivating effect of priming descriptive social norm on consumer voice. 

  主講人簡(jiǎn)介:

  盧向華,復(fù)旦大學(xué)偉德國(guó)際1946bv官網(wǎng)信息管理與信息系統(tǒng)系教授,博士生導(dǎo)師,國(guó)家自然基金優(yōu)秀青年基金項(xiàng)目獲得者。盧向華教授的研究方向是互聯(lián)網(wǎng)用戶的在線行為量化實(shí)證分析及運(yùn)營(yíng)機(jī)制設(shè)計(jì),通過(guò)大數(shù)據(jù)分析與實(shí)地實(shí)驗(yàn)等方法研究用戶個(gè)人層面的行為偏好與規(guī)律,測(cè)度用戶對(duì)不同市場(chǎng)干預(yù)機(jī)制或政策的響應(yīng)效果。她在國(guó)內(nèi)外高水平期刊上發(fā)表學(xué)術(shù)論文30余篇,包括Management Science, Information Systems Research, Journal of Marketing, Marketing science, POMs,Journal of MIS等。她目前已經(jīng)作為負(fù)責(zé)人主持了5項(xiàng)國(guó)家自然基金項(xiàng)目,并獨(dú)立了完成了上海市哲學(xué)社科、上海市教育發(fā)展基金會(huì)晨光計(jì)劃等多項(xiàng)研究課題,負(fù)責(zé)完成了多項(xiàng)政府與企業(yè)橫向咨詢課題。

  主辦:研究生院      承辦:科研與學(xué)術(shù)交流中心

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