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来源类型Working Paper
规范类型报告
DOI10.3386/w28882
来源IDWorking Paper 28882
Biased Sampling of Early Users and the Direction of Startup Innovation
Ruiqing Cao; Rembrand M. Koning; Ramana Nanda
发表日期2021-06-07
出版年2021
语种英语
摘要Using data from a prominent online platform for launching new digital products, we document that the composition of the platform's ‘beta testers’ on the day a new product is launched has a systematic and persistent impact on the venture's success. Specifically, we use word embedding methods to classify products on this platform as more or less focused on the needs of female customers. We then show that female-focused products launched on a typical day – when nine in ten users on the platform are men – experience 45% less growth in the year after launch. By isolating exogenous variation in the composition of beta testers unrelated to the characteristics of launched products on that day, we find that on days when there are unexpectedly more women, this gender-product gap shrinks towards zero. Further, consistent with a sampling bias mechanism, we find that the composition of beta testers appears to impact VC decision making and the entrepreneur's subsequent product development efforts. Overall, our findings suggest that the composition of early users can induce systematic biases in the signals of startup potential, with consequential effects – including a shortage of innovations aimed at consumers who are underrepresented among early users.
主题Industrial Organization ; Market Structure and Firm Performance ; Other ; Accounting, Marketing, and Personnel ; Development and Growth ; Innovation and R& ; D
URLhttps://www.nber.org/papers/w28882
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/586556
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GB/T 7714
Ruiqing Cao,Rembrand M. Koning,Ramana Nanda. Biased Sampling of Early Users and the Direction of Startup Innovation. 2021.
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