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A multi-stage model of word-of-mouth influence through viral marketing

机译:通过病毒式营销的口碑影响的多阶段模型

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With the growth and evolution of the Internet, electronic peer-to-peer referrals have become an important phenomenon, and marketers have tried to exploit their potential through viral marketing campaigns. At the same time, spam and e-mail-based viruses have cluttered electronic communications, making viral marketing campaigns problematic and challenging to deploy. The key driver in viral marketing is the effectiveness of unsolicited, electronic referrals to create awareness, trigger interest, and generate sales or product adoption. Yet, despite a large literature concerning interpersonal influence, little is known about how this electronic, or, indeed, any word-of-mouth process influences consumers' actual behaviors, particularly in a cluttered online environment. In this paper, we develop a model to help identify the role word-of-mouth plays during each stage of a viral marketing recipients' decision-making process, including the conditions that moderate such influence. We then present an innovative methodology for collecting data unobtrusively and in real time. We empirically test the model and methodology via a field study, where we observed the reactions of 1100 individuals after they received an unsolicited e-mail from one of their acquaintances, inviting them to take a survey and in turn spread the word about it. We found that characteristics of the social tie influenced recipients' behaviors, but had different effects at different stages: tie strength facilitated awareness, perceptual affinity triggered recipients' interest, and demographic similarity had a negative influence on each stage of the decision-making process. We conclude with a discussion of the theoretical and methodological contributions of our work and of managerial implications of these findings for online marketers interested in strategies for leveraging peer-to-peer referral networks.
机译:随着Internet的发展和发展,电子对等推荐已成为一种重要现象,营销人员已尝试通过病毒式营销活动来挖掘其潜力。同时,垃圾邮件和基于电子邮件的病毒使电子通信混乱不堪,从而使病毒式营销活动成问题并难以部署。病毒式营销的主要推动力是主动进行电子转介以提高知名度,激发兴趣并促进销售或产品采用的有效性。然而,尽管有大量关于人际关系影响的文献,但对于这种电子或实际上是任何口口相传的过程如何影响消费者的实际行为,尤其是在混乱的在线环境中,知之甚少。在本文中,我们开发了一个模型来帮助确定口碑​​在病毒式营销接受者决策过程的每个阶段所扮演的角色,包括缓解这种影响的条件。然后,我们提出了一种新颖的方法,可以毫不干扰地实时收集数据。我们通过现场研究对模型和方法进行了实证测试,我们观察了1100个人从他们的一个熟人那里收到未经请求的电子邮件后的反应,邀请他们进行调查并反驳此事。我们发现,社交关系的特征会影响接受者的行为,但在不同阶段会产生不同的影响:联系强度有助于意识,知觉亲和力触发接受者的兴趣,而人口统计学相似性对决策过程的每个阶段均具有负面影响。最后,我们讨论了我们工作的理论和方法论贡献,以及这些发现对那些对利用点对点推荐网络策略感兴趣的在线营销人员的管理意义。

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