Internet, as a new channel of WOM, enables consumers to get multiply WOM messages. However, there is a very real consumer situation that consumers may receive opposite messages (positive-negative) from the same sources. According to tie strength, this paper divides e-WOM sources into strong tie sources and weak tie sources, examining how e-WOM sources moderate the influence of e-WOM presentatio...

Firms use social media marketing to promote products and collect consumer feedback for the product development process. Their practice of investing in retailer-hosted Word-of-Mouth (internal WOM) is supported by a positive feedback mechanism between internal WOM and retail sales. Internal WOM is a sales influencer: consumers can get informed about a product by a large volume of internal WOM. It...

A2 W of mouth (WOM) plays an increasingly important role in shaping consumers’ attitudes and buying behaviors. Prior work in marketing has mainly focused on the aggregate impact of WOM on product sales as well as the generation of WOM. Very little attention has been paid to the consumption or usage of WOM. In this paper, utilizing a unique data set that collects information from the automobile ...

Consumer opinions, experiences, and product recommendations posted on online WOM sites have become a major information source in consumer purchase decisions. However, prior research has largely focused on the influence of a single source of WOM – particularly retailer-hosted WOM. This study investigates the relative impact of multiple WOM information on retail sales. We collected a panel of sal...

Recent years have witnessed the explosive growth of research on online social networks (OSNs), which provide a perfect platform for observing the Word-of-Mouth (WOM) propagation. However, recent research regarded OSNs as homogeneous networks, while the real-world OSNs are heterogeneous. This paper considered the heterogeneity of OSNs, proposed a WOM propagation model called HOSN to simulate WOM...

Social broadcasting networks like Twitter in the U.S. and “Weibo” in China are transforming the way online word-of-mouth is disseminated and consumed in our society. We investigate whether and how Twitter WOM affects movie sales using publicly available Twitter data and common text mining algorithms. We find that more Twitter WOM messages always leads to more movie sales, however, the magnitude...

representanve' La 1011a' CA (Us) The invention provides a family of 2-Write WOM-codes, pre (73) Assigneez THE REGENTS OF THE ferred embodiments of Which provide improved WOM-rates. UNIVERSITY OF CALIFORNIA Embodiments of the invention provide constructs for linear Oakland CA (Us) ' codes C having a 2-Write WOM-code. Embodiments of the ' invention provide 2-Write WOM-codes that improve the best ...

WOM elasticity values show a significant difference between physical and service product categories. In addition, all effective respondents in this research are highly sensitive to WOM relating to specific products. This shows that WOM is not only a key variable of tourism products but also validates that WOM communications are meaningful for tourism customers. The authors contributes to touris...

We collect Word-of-mouth (WOM) data on movies from Twitter and employ both a time-series model and a dynamic panel data model to study the influence of WOM on movie box office revenues. Compared with most previous literature that measures WOM through its volume or dispersion, we directly measure the number of recipients of each WOM message using the unique social structural information on Twitt...

The authors study the effect of word-of-mouth (WOM) marketing on member growth at an Internet social networking site and compare it with traditional marketing vehicles. Because social network sites record the electronic invitations from existing members, outbound WOM can be precisely tracked. Along with traditional marketing, WOM can then be linked to the number of new members subsequently join...