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Despite the importance of online word-of-mouth (WOM) communication to senders, receivers and concerned companies alike, a surprisingly limited amount of research exists on the impacts of online WOM participation on the senders themselves. Motivated by an attempt to fill this significant gap in the literature, this paper aims to investigate the sender outcomes of online WOM participation.

The authors draw on insights from focus group studies and psychological theories of emotions, catharsis and regret and the signaling theory to develop a conceptual model linking the drivers and content characteristics of online WOM participation and sender outcomes.

The findings show that sender outcomes from online WOM transmission differ by the types of drivers stimulating the online sharing activity and the level of exaggeration in the senders’ self-generated contents. Specifically, online WOM triggered by emotions leads to catharsis and emotional homeostasis among the senders, while that stimulated by motivational drivers such as altruism, reciprocity, self-enhancement and belongingness leads to sender happiness. Exaggeration in self-generated WOM contents by the senders, in turn, leads to delayed outcomes of sender regret and reduced sender trust in general online WOM contents.

The most important contribution to online WOM research lies in the study of the outcomes of WOM transmission from a sender’s point of view. By drawing on our exploratory findings and psychological theories of emotions, catharsis and regret and the signaling theory, the authors develop a conceptual model linking the drivers and the exaggeration nature of online WOM participation and sender outcomes.

Managers should realize that the most fundamental way of ensuring positive consumption experiences is to listen to customer voices, including even the most negative of feedback shared privately or publicly, and use that information to improve essential customer experience aspects. The finding on the effects of online WOM exaggerations on sender regret suggests that companies and consumers alike should work on ensuring producing more accurate and complete online customer reviews. The finding on the negative effect of online WOM exaggerations on sender trust raises an important question on the meaning of high quality reviews from the company’s perspective. To pursue high quality reviews, merchants should not only aim at receiving the highest possible numeric ratings but also encourage most truthful accounts of purchase and usage experiences. In turn, online platforms such as Amazon should also factor the quality of online ratings more effectively into their product recommendation algorithms.

In further consideration of consumer welfare implications, online WOM transmissions should be more recognized as a tool for allowing consumers to cleanse their emotions associated with marketing stimuli.

Overall, the qualitative study and proposed conceptual model contribute to a more thorough and deeper understanding of individual-level sender outcomes of online WOM participation.

Purpose: In this chapter, we develop a conceptual model, the relational anger model (RAM). The model aims to better understand the receivers' attributions and emotion regulation strategies used in the face of intense workplace anger. We also report a test of this model in a workplace setting. Study Design/Methodology/Approach: The data were collected through a survey using a split administration design conducted in various industries. The analysis used PROCESS based on data gathered from 122 employees. Findings: The results indicated that perceptions of greater anger intensity are associated with lower target positive health (e.g., lowered work functionality). When attributions of higher sender anger intensity are viewed as appropriate, targets experience better health outcomes. Targets' attribution of lower sender anger intensity appropriateness is also associated with targets' reporting higher negative health outcomes (e.g., lowered self-esteem). Support for the full moderated mediation model of the effects of the ER strategies is not found. However, separate paths within the model are significant as outlined in the analysis throughout this chapter. Originality/Value: Overall, the RAM increases our understanding of a receivers' internal cognitive and affective processes in the face of workplace anger manifestations in organizations. Research Limitations: There is a possibility of common method variance affecting the study results, but a split administration design was used to minimize this effect. The study may also be affected by memory of the anger incident, which we tried to overcome using the Day Reconstruction Method.

We investigate the role of group identity in delegated decision-making. Our framework considers the impact of group identity (based on racial segregation in post-Apartheid South Africa) on decisions to appoint a representative in a trust game with delegated decision-making, where information on the race group of other players is either common or private knowledge. We test our framework experimentally on a sample of young South Africans who had never been exposed to experimental economics research. By exogenously matching parties according to their race group, we observe their endogenous trust and delegation behavior. Our results suggest that white players try to use information about group identity to increase profits, albeit unsuccessfully. This may help to explain distrust and coordination failures observed in real-life interactions.

The purpose of this study is to conduct a systematic study of important research trends and published electronic word of mouth (eWOM) studies over the past 20 years in the emerging economy. This research is designed to identify the key areas of eWOM based on the Antecedents-Consequence-Intervention (ACI) framework. This paper is also aimed to analyze the current research status of each WOM area and critically review each area for developing future research directions.

616 articles were selected from 112 journals for in-depth review analysis. For the systematic review of articles, an ACI framework was adopted. This paper used systematic review analysis methodology to critically analyze important research studies in each area of the ACI framework with a set of research questions.

Results identify six significant areas of eWOM, i.e. WOM antecedents, outcomes, senders, receivers, eWOM platform and eWOM management representing the whole environment. The result highlights increasing research interest on mixed eWOM and rich eWOM content and market-level source credibility factors. Research also identifies research gaps based on the ACI framework.

Analyzing the recent trends in the eWOM environment with the SLR approach and linking these trends to the ACI framework with a future research agenda in the emerging market indicated a pioneering attempt in eWOM research.

In order to gain a rich understanding of the phenomenon of cyberbullying among college students, we conducted a series of focus groups on the campus of a large southwestern university. Employing a grounded theory approach to the data analysis, major themes emerged. The roles of sender, receiver, and audience member are very fluid in the cyber-environment. Misinterpretation and miscommunication can result in unintentional cyberbullying; audience comments can easily escalate a benign comment into a major incident. Focus group participants generally believed that the receiver's interpretation rather than the intent of the sender determines whether a communication constitutes cyberbullying. Because of the potential for misinterpretation of messages, anyone can be a (perhaps unintentional) cyberbully. Participants believed that the anonymity of the Internet encouraged cyberbullying, as did the desire for instant gratification and impulsivity. Students who are different in some way (race, ethnicity, sexual orientation, religion, and appearance) are perceived as being more vulnerable to being victimized in cyberspace, and students with high profiles (e.g., athletes and student government officers) were also noted as likely targets. Despite being able to describe the dynamics of cyberbullying in detail and provide numerous examples of it happening in the campus community, members of the focus groups were reluctant to characterize cyberbullying as a problem at their university and uncertain whether the university should intervene. They did, however, offer many suggestions that will be useful to universities seeking to develop policies, educational programs, and intervention strategies for their campuses.

With the advent of increasingly sophisticated AI, the nature of work in the service frontline is changing. The next frontier is to go beyond replacing routine tasks and augmenting service employees with AI. The purpose of this paper is to investigate whether service employees augmented with AI-based emotion recognition software are more effective in interpersonal emotion regulation (IER) and whether and how IER impacts their own affective well-being.

For the underlying study, an AI-based emotion recognition software was developed in order to assist service employees in managing customer emotions. A field study based on 2,459 call center service interactions assessed the effectiveness of the AI in augmenting service employees for IER and the immediate downstream consequences for well-being relevant outcomes.

Augmenting service employees with AI significantly improved their IER activities. Employees in the AI (vs control) condition were significantly more effective in regulating customer emotions. IER goal attainment, in turn, mediated the effect on employee affective well-being. Perceived stress related to exposure to the AI augmentation acted as a competing mediator.

Service firms can benefit from state-of-the-art AI technology by focusing on its capacity to augment rather than merely replacing employees. Furthermore, signaling IER goal attainment with the help of technology may provide uplifting consequences for service employee affective well-being.

The present study is among the first to empirically test the introduction of an AI-fueled technology to augment service employees in handling customer emotions. This paper further complements the literature by investigating IER in a real-life setting and by uncovering goal attainment as a new mechanism underlying the effect of IER on the well-being of the sender.

This study investigates the way in which acquisition-related human factors affect knowledge transfer in the context of Chinese cross-border M&A for strategic assets. The authors find that the process of knowledge transfer is reciprocal for revenue and cost synergies, including explicit and tacit knowledge. The establishment of joint ventures (JV) in China after the takeover boosts product-oriented knowledge transfer from overseas-acquired firms in mature markets to Chinese acquirers. The promotion of overseas synergies stimulates complementary knowledge transfer flow, which is reversely transferred from Chinese acquirers to overseas-acquired subsidiaries such as low-saving sourcing and new market applications. This study identifies three acquisition-related human factors that impact overseas knowledge senders for knowledge transfer. These human factors are implemented by Chinese strategic investors as new shareholders during the loosen integration phase. The first facilitator is all-round communication programs with top management involvement, aiming to build up constructive communication channels to boost knowledge transfer. The second facilitator is competence-based trust, which stimulates cooperation and application based on similar professional competence between Chinese acquirers and their overseas-acquired subsidiaries. The impeder is a high turnover of key skilled workers at Chinese acquirers to undermine the effectiveness of knowledge transfer.

Recent developments in identity theory are used to understand emotions in distributive justice theory. Three issues are examined: the consistency vs. enhancement dynamic, the status dynamic, and the resource dynamic. Results reveal individuals initially react positively to over-rewards; later they react more negatively. We suggest that the enhancement process occurs initially; the consistency process occurs later. Regarding status, persons respond negatively to unjust outcomes when they come from higher status persons. Finally, positive emotions are a resource for individuals initially and across encounters, buffering the effect of repeated unjust outcomes. Overall, this study helps develop emotions in distributive justice theory.