Money Talks: Field Experiment Evidence Regarding Online Referral Propensities

M. Shi, Andrea C. Wojnicki
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引用次数: 6

Abstract

This paper investigates the impact of various motivational tactics - tangible or intangible and selfish or altruistic - on online referral rates, utilizing a unique dataset matching a large-scale survey with an online field experiment. The authors develop an economic model of referral and derive a tobit model for estimation. Overall, the empirical results of the model indicate that "money talks" - that is, referral rates are higher when tangible rewards are conferred, particularly tangible and selfish tactics, particularly for Internet Opinion Leaders, and particularly for males. However, for target segments with higher education levels, when intangible or psychological benefits are emphasized, tactics more altruistic in nature are more effective than tactics that are more selfish in nature. Importantly, the authors demonstrate how our model and analysis can help managers design optimal WOM campaigns, depending on their consumer profile.
金钱说话:关于在线推荐倾向的现场实验证据
本文研究了各种激励策略——有形的或无形的,自私的或利他的——对在线转诊率的影响,利用了一个独特的数据集,将大规模调查与在线现场实验相匹配。作者建立了一个转诊的经济模型,并推导了一个tobit估计模型。总体而言,模型的实证结果表明,“金钱万能”——也就是说,当给予有形奖励时,特别是有形和自私的策略,特别是对于网络意见领袖,特别是对于男性,推荐率更高。然而,对于受教育程度较高的目标群体,当强调无形利益或心理利益时,本质上更利他的策略比本质上更自私的策略更有效。重要的是,作者展示了我们的模型和分析如何帮助管理者根据他们的消费者概况设计最佳的口碑营销活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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