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Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry

机译:在线到离线:社交媒体对汽车工业离线销售的影响

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Given the limited research into the impact of social media on offline sales of durable goods, this study examines the dynamic relationships between firm-generated content (FGC), user-generated content (UGC), traditional media, and offline light vehicle sales. Data were collected from the official Facebook and Twitter pages of 30 U.S. car brands from 2009 to 2015. We utilized a panel vector autoregressive model to investigate the dynamic relationships among multiple time series variables while controlling for influential durable goods characteristics. The empirical results suggest that Facebook and Twitter have heterogeneous effects on offline vehicle sales. Moreover, FGC is more effective than UGC for influencing offline light vehicle sales. Viral impressions from Facebook and Twitter are essential, although the effects vary by social media platform (Facebook versus Twitter) and content type (FGC versus UGC). The result of the impulse response function analysis indicates that both the firm's marketing efforts (FGC and traditional media) and UGC have a long-term effect on offline sales, with the long-term effect of a firm's marketing efforts outlasting that of UGC. Incorporating FGC and UGC from Facebook and Twitter and traditional media could improve the performance of offline sales prediction. We also documented the within-Twitter synergistic effect between FGC and UGC for offline car sales and cross-channel substitution relationships (FGC on both Facebook and Twitter serves as a substitution to traditional media). Finally, we provide guidance for managers seeking to leverage multichannel marketing to boost the offline sales of durable goods.
机译:鉴于社交媒体对耐用品的离线销售影响有限,研究了公司生成内容(FGC),用户生成的内容(UGC),传统媒体和离线轻型车辆销售之间的动态关系。从2009年至2015年从官方Facebook和Twitter页面中收集了数据。我们利用了一个面板向量自回归模型来研究多个时间序列变量之间的动态关系,同时控制有影响力的耐用品特征。经验结果表明Facebook和Twitter对离线车辆销售具有异质效果。此外,FGC比UGC更有效,用于影响离线灯车销售。来自Facebook和Twitter的病毒印象是必不可少的,尽管效果因社交媒体平台(Facebook与Twitter)和内容类型而异(FGC与UGC)而异。脉冲响应函数分析的结果表明,公司的营销努力(FGC和传统媒体)和UGC对离线销售有了长期影响,并在营销努力延长UGC的营销努力的长期效果。来自Facebook和Twitter和传统媒体的FGC和UGC可以提高离线销售预测的性能。我们还记录了FGC和UGC之间的推特协同效应,用于离线汽车销售和跨通道替代关系(Facebook和Twitter的FGC作为传统媒体的替代)。最后,我们为寻求利用多通道营销的管理人员提供指导,以提高耐用品的离线销售。

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