5 research outputs found

    Correction to: Beyond valence: a meta-analysis of discrete emotions in firm-customer encounters

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    Tables 4, 5 and 6 in the original version of this article contained some incorrect calculations. The correct tables are shown below

    The multilevel nature of customer experience research: an integrative review and research agenda

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    Over the last three decades, customer experience (CE) has developed from a burgeoning concept to a widely recognized phenomenon in terms of both research and practice. To account for the complexity of consumption decisions, the CE literature encompasses both the rational information processing approach to consumer decision‐making and the experiential approach, which includes emotions, feelings and sub‐consciousness. The authors classify and examine CE research on two levels. Studies on static CE analyze experiences during touchpoints at one point in time, while studies on dynamic CE assess how experiences evolve over time. Furthermore, both static and dynamic CE research take place from two distinct theoretical perspectives: the organization and the consumer. As both theoretical perspectives essentially deal with the same phenomenon – the organizational perspective with the creation of CEs and the consumer perspective with the perception of customer experiences – there is potential for a productive symbiosis between them. The authors propose that connecting insights from both perspectives can contribute to a better understanding of what constitutes a CE for consumers and how firms can effectively manage it. First, the authors discuss the development of CE and argue that it has evolved into a broad and fragmented ‘umbrella construct’. Second, after distinguishing and defining static and dynamic CE, they systematically evaluate the state of knowledge in both the organizational and consumer perspectives. Finally, they develop an agenda for future research that integrates the consumer perspective into organizational CE research

    Outsourcing the pain, keeping the pleasure: Effects of outsourced touchpoints in the customer journey

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    Firms struggle to manage touchpoints in their customer journey that consumers perceive as dissatisfying. Based on attribution theory and associative learning we examine branded outsourcing as a strategic means to reduce such touchpoints’ negative impact on brand evaluations. We find in the field and in a series of experimental studies that brands can reduce the detrimental impact of dissatisfying touchpoints. This effect is reversed for satisfying touchpoints. Importantly, we find that the explanation for the effect of branded outsourcing goes beyond consumers’ responsibility attributions. Rather, we find evidence that branded outsourcing reduces the extent to which consumers mentally associate the focal brand with the outsourced touchpoint, which results in a shift in brand evaluations. In an additional study we show that a strong third-party brand is not always more beneficial than a weak third-party brand, which further enhances the managerial relevance of our findings

    Beyond valence:a meta-analysis of discrete emotions in firm-customer encounters

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    Distinguishing between consumers’ positive and negative affect is a popular approach in both marketing research and practice, but such valence-based approaches sacrifice specificity and explanatory power.As emotions of the same valence can greatly differwith regard to their underlying appraisal patterns, they also differently affect consumer judgment and behavior. Ourmeta-analysis of 1035 effect sizes (N = 40,777) across 10 discrete emotions shows that analyzing discrete emotions clearly outperforms models of core affect (valence and arousal) when studying firm–customer encounters. Specifically, we find that the greatest impact stems from the medium-arousal emotion of gratitude and that positive emotions show consistently stronger effect sizes than do negative emotions. We also examine how effects are moderated by situational characteristics of the experience triggering the emotion. Based on our findings, we develop recommendations that help marketers identify and manage consumers’ emotions more effectively
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