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My dissertation examines how individuals respond to workplace social comparisons. I measure the explicit set of referent others that individuals compare themselves against in order to evaluate their own level of performance. I examine how the social context of these comparisons impact discretionary performance related behaviors by examining how an individual’s position within a social network and the structural characteristics of an individual’s reference group influences the experience of discrete emotions. Specifically, I examine how malicious envy and benign envy mediate the relationship between social comparison and workplace behavior in a field setting. Results indicate that social network structure plays a significant role in motivating both productive and counterproductive responses to social comparison. Whether or not an employee responds to upward social comparisons by increasing their own work effort or engaging in deviant behavior is influenced by the experience of benign and malicious envy, which is in turn influencedby the network structure of reference groups. Furthermore, social network position plays a moderating role in the occurrence of workplace deviance by either enhancing or limiting the opportunities an employee has to engage in deviant behavior.

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The current study examined the relationship between affect changes or lack thereof when one logs onto Facebook or Yahoo!. Facebook was specifically chosen for examination in the current study due to its widespread use, its vast effect on society, and its unique features that allow users to obtain information and have social interaction at the same time. Yahoo! served as a control due to the fact that it is a highly popular site that has similar features of Facebook without having the social functions. Both sites allow users to observe news that is pertinent and of interest to them and both are popular; the main difference between the two sites is the social component that Facebook can offer that Yahoo! is unable to offer users. Findings suggest that logging onto Facebook increases positive affect and joy, but this is short lived. After a period of time on the website negative affect and anger increase. Further research needs to be conducted in order to understand what activities on Facebook lead to more or less affect modulation and future studies are discussed.

<p>This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as continuous dimensions. </p><p>Study I consisted of a meta-analysis of decoding accuracy of discrete emotions (anger, fear, happiness, love-tenderness, sadness) within and across cultures. Also, the literature on acoustic characteristics of expressions was reviewed. Results suggest that vocal expressions are universally recognized and that there exist emotion-specific patterns of voice-cues for discrete emotions.</p><p>In Study II, actors vocally portrayed anger, disgust, fear, happiness, and sadness with weak and strong emotion intensity. The portrayals were decoded by listeners and acoustically analyzed with respect to 20 voice-cues (e.g., speech rate, voice intensity, fundamental frequency, spectral energy distribution). Both the intended emotion and intensity of the portrayals were accurately decoded and had an impact on voice-cues. Listeners’ ratings of both emotion and intensity could be predicted from a selection of voice-cues.</p><p>In Study III, listeners rated the portrayals from Study II on emotion dimensions (activation, valence, potency, emotion intensity). All dimensions were correlated with several voice-cues. Listeners’ ratings could be successfully predicted from the voice-cues for all dimensions except valence.</p><p>In Study IV, continua of morphed expressions, ranging from one emotion to another in equal steps, were created using speech synthesis. Listeners identified the emotion of each expression and discriminated between pairs of expressions. The continua were perceived as two distinct sections separated by a sudden category boundary. Also, discrimination accuracy was generally higher for pairs of stimuli falling across category boundaries than for pairs belonging to the same category. This suggests that vocal expressions are categorically perceived.</p><p>Taken together, the results suggest that a discrete-emotions approach provides the best account of vocal expression. Previous difficulties in finding emotion-specific patterns of voice-cues may be explained in terms of limitations of previous studies and the coding of the communicative process.</p>

This thesis investigated whether vocal emotion expressions are conveyed as discrete emotions or as continuous dimensions. Study I consisted of a meta-analysis of decoding accuracy of discrete emotions (anger, fear, happiness, love-tenderness, sadness) within and across cultures. Also, the literature on acoustic characteristics of expressions was reviewed. Results suggest that vocal expressions are universally recognized and that there exist emotion-specific patterns of voice-cues for discrete emotions. In Study II, actors vocally portrayed anger, disgust, fear, happiness, and sadness with weak and strong emotion intensity. The portrayals were decoded by listeners and acoustically analyzed with respect to 20 voice-cues (e.g., speech rate, voice intensity, fundamental frequency, spectral energy distribution). Both the intended emotion and intensity of the portrayals were accurately decoded and had an impact on voice-cues. Listeners’ ratings of both emotion and intensity could be predicted from a selection of voice-cues. In Study III, listeners rated the portrayals from Study II on emotion dimensions (activation, valence, potency, emotion intensity). All dimensions were correlated with several voice-cues. Listeners’ ratings could be successfully predicted from the voice-cues for all dimensions except valence. In Study IV, continua of morphed expressions, ranging from one emotion to another in equal steps, were created using speech synthesis. Listeners identified the emotion of each expression and discriminated between pairs of expressions. The continua were perceived as two distinct sections separated by a sudden category boundary. Also, discrimination accuracy was generally higher for pairs of stimuli falling across category boundaries than for pairs belonging to the same category. This suggests that vocal expressions are categorically perceived. Taken together, the results suggest that a discrete-emotions approach provides the best account of vocal expression. Previous difficulties in finding emotion-specific patterns of voice-cues may be explained in terms of limitations of previous studies and the coding of the communicative process.

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.