Do Larger Audiences Generate Greater Revenues under Pay What You Want? Evidence from a Live Streaming Platform

直播流媒体 收入 广告 业务 互联网隐私 计算机科学 多媒体 财务
作者
Shijie Lu,Dai Yao,Xingyu Chen,Rajdeep Grewal
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:3
标识
DOI:10.2139/ssrn.3516777
摘要

As live streaming of events gains traction, pay-what-you-want (PWYW) pricing strategies are emerging as critical monetization tools. We assess the viability of PWYW by examining the relationship between popularity (i.e., audience size) of a live streaming event and the revenue it generates under a PWYW scheme. On the one hand, increasing audience size may enhance voluntary payment/tips if social image concerns are important, because larger audiences amplify the utility pertaining to social image. On the other hand, increasing audience size may reduce tips if gaining the broadcaster’s reciprocal acts motivates tipping because larger audiences are associated with fiercer competition for reciprocity. To examine these trade-offs in the relationship between audience size and revenue under PWYW, we manipulate audience size by exogenously adding synthetic viewers in live streaming shows on a platform in China. The results reveal a mostly positive relationship between audience size and average tip per viewer, which suggests that social image concerns dominate seeking reciprocity. In support of herding, adding synthetic viewers also increases the number of real viewers. Social image concerns and herding together explain the finding that adding one additional viewer improves the tipping revenue per minute by approximately .01 Yuan (1% of the mean level). Further, famous female broadcasters who use recognition-related words frequently during the event benefit the most from an increase in audience size. Overall, the results indicate that revenues under PWYW do not scale linearly and support the relevance of social image concerns in driving individual payment decisions under PWYW.
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