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The present research aims to examine selfie-marketing from a consumer behavior perspective. Creating and sharing selfies are gaining popularity among millennials. The authors seek to understand how this popularity relates to classic research on narcissism and self-concept and to determine the effectiveness of selfie-marketing in visual user-generated content.

A mixed methods approach is used across two studies. Study 1’s qualitative exploration uses the grounded theory method by analyzing semi-structured interviews with millennials. The findings produce three research propositions. These propositions are further developed into testable hypotheses in Study 2’s quantitative investigation, featuring analysis of the variance of online survey data collected from millennials.

The findings suggest that narcissism positively relates to millennials’ attitudes toward and intent to participate in selfie-marketing on visual content-sharing apps. Results also demonstrate that millennials seek to use selfies to present their self-concepts differently in various visual content-sharing environments.

The present research is among the first to focus on the importance of self-presentation and narcissism in regard to consumers’ attitudes and behavioral responses toward selfie-marketing. For marketers, this underscores the importance of understanding the unique nature of user-generated visual content on social media.

The authors' research examines how negative electronic word-of-mouth (e-WOM) alters focal customers' post-recovery justice perceptions and attitudes to determine their future behavior with the service provider. Specifically, this paper develops and tests a conceptual model to investigate how negative e-WOM alters focal customers' perceptual and attitudinal outcomes after the service recovery experience. It also examines the post-recovery effect of negative e-WOM on focal customers’ willingness to patronize the service after their recovery experience.

To test the hypotheses, two pretests and two experimental studies with created scenarios in the retail context were conducted.

The authors' findings reveal that services are judged during and well beyond failure and recovery occurrences. To maintain a loyal customer base, service managers should develop processes that address service complaints both within and beyond the service consumption stage. The authors also find that despite a favorable recovery, focal customers gravitate toward the failure experience and develop unfavorable attitudes toward the service provider, leading to likely defections.

The authors' research demonstrates the persuasive power of negative e-WOM at the post-service recovery stage, making a unique contribution to the service recovery literature. This research also contributes to the persuasive effect of negative e-WOM, demonstrating message context as a boundary condition of negative e-WOM effects. In general, the authors' work highlights the importance of understanding the psychological processes involved in eliciting the persuasive influence of negative e-WOM in the post-service recovery stage that may lead to the defection of “so-called” successfully recovered customers.

Online consumer reviews (OCRs) have emerged as a particularly important type of user-generated information about a brand because of their widespread adoption and influence on consumer decision-making. Much of the existing OCR research focuses on quantifiable OCR features such as star ratings and volume. More research that examines the influence of review elements, aside from numeric ratings, such as the verbatim text, particularly in services contexts is needed. The purpose of this research is to investigate the impact of service failures on consumer arousal and emotions.

The authors present three behavioral experiments that manipulate service failure and linguistic elements of OCRs by using galvanic skin response, survey measures and automated facial expression analysis.

Negative OCRs lead to the greatest levels of arousal when consumers read OCRs. Service failure severity impacts anger, and referential cohesion, an observable property of text that helps a reader better understand ideas in the text, negatively moderates the relationship between service failure severity and anger.

The authors are among the first to empirically test the effect of emotional contagion in a user-generated content context, demonstrating that it can occur when consumers read such content, even if they did not experience the events being described. The research uses a self-report and physiological measures to assess consumer perceptions, arousal and emotions related to service failures, increasing the robustness of the literature. These findings contribute to the marketing literature on OCRs in service failures, physiological measures of consumers’ emotions, the negativity bias and emotional contagion in a user-generated content context.

Policy leadership infiltrates the lives of citizens everywhere. Though this type of leadership is implicit and ubiquitous, a theoretically-based model specifically intended for policy leaders is not readily available in academic literature. This article serves to address this gap by proposing a conceptual model of the policy leadership framework. The model expounds upon previous literature and identifies 16 areas vital to the policy process. Implications of the model relate to equipping leadership educators in the classroom and in the community with enhanced policy leadership research and curriculum.

Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers.

A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data.

Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants.

AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.

The need for individuals capable of leading change has become pronounced based on the changes occurring within the higher education system. The purpose of this study was to examine if participation in the LEAD21 leadership development program, a national leadership program for faculty emerging as leaders in the land-grant university system, changed participant levels of change leadership. The longitudinal analysis included comparisons across members of three classes in the LEAD21 program, as well as the aggregated data from all three years. Results indicated overall level of change leadership rose by an average of 28.8%. Additionally, the study established benchmarks for pre-program and post-program levels of change leadership. Leadership educators can use the results to inform future leadership education initiatives. Furthermore, the study presents a Leading Change Scale that may be appropriate for future leadership program evaluations. Ongoing evaluations of leadership programs are encouraged.