Drivers of new product recommending and referral behaviour on social network sites

被引:103
作者
Chatterjee, Patrali [1 ]
机构
[1] Montclair State Univ, Sch Business, Montclair, NJ 07043 USA
关键词
Censored probit; Clickstream analysis; Online word of mouth; Recommending behavior; Referral Visit; Sample selection; Social network site; WORD-OF-MOUTH; INFLUENCE MODEL; CONSUMERS; COMMUNITIES; PLATFORMS; INTERNET; PC;
D O I
10.2501/IJA-30-1-077-101
中图分类号
F [经济];
学科分类号
02 ;
摘要
Managers of new brands seek to leverage positive WOM and establish a critical mass of consumers who interact with their brands on social network sites (SNSs). Effective selection of 'seeds', or influencers, on SNSs, who will recommend the product and leverage the power of their social networks to influence other consumers is key to organic growth. This research examines the role of an influencer's activity on a social network website (network size, membership duration, share-of-posts), brand message source (marketer-generated versus member-generated), and recipient type (SNS member versus nonmember) on an influencer's decision to recommend a new brand and the recipient's decision to make a referral visit. Empirical analyses of clickstream data from SNSs at a commercial website show that marketer- and consumer-generated brand ads differ in their impact on recommending propensity for high share-of-posts and long-term influencers, and for member and non-member recipients, which has implications for referral management.
引用
收藏
页码:77 / 101
页数:25
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