Compared to offline Word-of-Mouth (WOM) senders, online WOM senders play
important role. However, managers have an insufficient understanding on the WOM
motivation of online WOM senders. Film adopted traditional marketing campaigns to
lock them could easily lead to failure. Therefore, if the differences of WOM
motivations between offline and online WOM senders can be clarified, it could help
managers to lock online WOM senders to urge them to become spokesmen of an
enterprise. This study applied the theory of uses and gratifications to compare the
WOM motivations differences between offline and online WOM senders. Meanwhile,
this study further examines the moderating effects of product type and gender on the
relationship between the offline/online WOM senders and WOM motivation. 588
samples were used to investigate six products/services, and Two-Way ANOVA were
used to test the hypotheses. The results show that, as compared to offline WOM
senders (i.e., opinion leaders, early adopters and market mavens), the online WOM
senders (i.e., viral marketing mavens) can easily be intrigued by the WOM
motivations of online message, economic incentives, affective communication with
others, helping others, adopt new products and social enhancement. Market mavens
prefer to help others and easily to be influenced by economic incentives. Early
adopters prefer to adopt new products and also easily to be influenced by economic
incentives. Among all WOM motivations, opinion leaders has higher degree in
adopted new products. In addition, product type and gender can moderate the
relationship between the offline/online WOM senders and WOM motivations. In other
words, viral marketing mavens prefer to provide service product related messages to
help others and for that social enhancement; offline WOM senders prefer to provide
tangible product messages to help others. Furthermore, female early adopters and viral
marketing mavens and male market mavens can easily be influenced by economic
incentives. The conclusions of this study can help academics and practitioners to
understand the differences of WOM motivations between offline and online WOM
senders. Finally, this study discusses the implications of these findings and offers
directions for future research.