To paraphrase an old bromide, "you are what you consume." Consumers derive their sense of self through products, brands, performances and a host of other meaning-laden materials that they consume. The marketing literature has long recognized possessions as an extension of the self-concept. Although hundreds of studies have examined the linkage between consumption and the self, surprisingly few have examined a related phenomenon - the relationship between the self-concept and word of mouth (WOM). A handful of studies have demonstrated the use of WOM to enhance the consumer's self-image, but most extant research focuses on how the act of engaging in WOM is used to build the self-concept. To date there has not been an extensive examination of the process by which WOM transfers the meaning of a product, brand, advertisement or narrative from one consumer to another as part of identity construction. This dissertation attempts to answer the following research questions: 1. Do self-concept and identity motivate consumers to engage in electronic word-of-mouth (eWOM)? 2. Is there a conceptual model to represent the effects of message characteristics, product/brand characteristics and individual personality differences on the self-enhancement value of eWOM and resulting eWOM behaviors? A conceptual model was proposed and, using an experimental research design, hypotheses were tested using structural equation modeling (SEM). The results suggest that self-concept and identity indeed motivate consumers to engage in eWOM, and a number of brand and message traits comprise eWOM's self-enhancement value. This dissertation both contributes to the theoretical understanding of eWOM and assists managers in developing marketing strategy. The use of WOM for identity construction remains an understudied area in marketing when compared to the consumption of products as self-expression. This research provides suggestions for practitioners in harnessing the potential of eWOM as a marketing strategy through message development and targeting of lucrative segments with viral campaigns.

Old Spice cleverly used a handsome actor to play the Old Spice Man character for a Super Bowl commercial in 2010. After the game, this Old Spice commercial was viewed more than 13 million times on YouTube, a social media video-sharing site. This viral marketing campaign, also known as electronic word-of-mouth (E-WOM), propelled the Old Spice brand into the forefront of consumers’ minds, increased brand awareness, and inspired people to share the video links with their family, friends, and co-workers. The rapid growth of E-WOM is an indication of consumers’ increased willingness to convey marketing messages to others. However, despite this development, marketing academics and practitioners do not fully understand this powerful form of marketing. This dissertation enriches our understanding of E-WOM and how e-servicescape may lead to E-WOM. To that end, stimulus-organism-response theory and the network co-production model of E-WOM are applied to investigate the relationships between e-servicescape, trust, E-WOM intentions, customer loyalty, and purchase intentions. Two forms of E-WOM were examined, namely emails and social network postings. E-servicescape is defined as the online environmental factors of a marketer’s website. E-servicescape is composed of three main dimensions, including aesthetic appeal, financial security, and layout and functionality. This study used cross-sectional customer data from a single e-tailer. Structural equation modeling was used to analyze the responses. Customer reviews was added as an additional sub-dimension of e-servicescape. The findings suggest e-servicescape positively impacts trust, which in turn positively influences E-WOM and customer loyalty. Moreover, two groups of customers were compared using multi-group analysis, where one group of users received emails and the other group received social network postings from the same e-tailer. Overall, the results indicated emails had a stronger impact on e-servicescape, E-WOM, and customer loyalty. Social networking site postings had slightly greater influence on trust, and two sub-dimensions of e-servicescape, i.e., interactivity and ease of payment. These findings contribute to the marketing research on E-WOM theory and electronic commerce shopping behavior. In particular, the sub-dimension of customer reviews is added to e-servicescape. This study yields practical implications for marketers in understanding consumers’ perceptions of websites and how to better design sites. In addition, these findings add to knowledge on how to engender consumers’ trust and customer loyalty online. Finally, this research provides suggestions for firms wanting to create marketing campaigns that will lead to E-WOM.

My dissertation aims to contribute to a more comprehensive understanding of how consumers make sense of online word-of-mouth. Each essay in my dissertation probes beyond the effect of rating valence and explores the role of textual content. In the first essay, I explore negativity bias among online consumers evaluating peer information about potential sellers. I propose that both the likelihood of negativity bias and resistance to change after a trust violation will depend on the domain of information discussed in a review. Three experiments showed that negativity bias is more prominent for information regarding sellers' integrity than information regarding their competence. These findings suggest that the universality of negativity bias in a seller review setting has been exaggerated. In the second essay, I examine the impact of emotional arousal on the perceived helpfulness of text reviews. I propose an inverse U-shaped relationship by which the arousal conveyed in a text review will be associated by readers with lower perceived helpfulness only beyond an optimal level, and that the detrimental effect of arousal is present for negative reviews even when objective review content is controlled for. To test these hypotheses, two studies were conducted in the context of Apple's mobile application market. In Study 1, I collected actual review data from Apple's App Store, coded those reviews for arousal using text analysis tools, and examined the non-linear relationship between arousal and review helpfulness. In Study 2, I experimentally manipulated the emotional arousal of reviews at moderate to high levels while holding objective content constant. Results were largely consistent with the hypotheses. This essay reveals the necessity of considering emotional arousal when evaluating review helpfulness, and the results carry important practical implications. In the third essay, I explore effects of the emotions embedded in a seller review on its perceived helpfulness to readers. I propose that over and above the well-known negativity bias, the impact of discrete emotions in a review will vary, and that one source of this variance is perceptions of reviewers' cognitive effort. I focus on the roles of two distinct, negative emotions common to seller reviews: anxiety and anger. In Studies 1 and 2, experimental methods were utilized to identify and explain the differential impact of anxiety and anger in terms of perceived reviewer effort. In Study 3, actual seller reviews from Yahoo! Shopping websites were collected to examine the relationship between emotional review content and helpfulness ratings. These findings demonstrate the importance of discriminating between discrete emotions in online word-of-mouth, and they have important repercussions for consumers and online retailers.