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With rising globalization, Western and Eastern brands are increasingly collaborating and co-branding. Drawing on the theory of dialectical self that captures the degree of cognitive tendency to tolerate conflicts, inconsistencies and ambiguities in self-concept, this paper investigates the effect of consumer dialectical self on co-branding that encompasses Western and East Asian cultural brand personality traits.

Two studies were conducted using Chinese participants to examine the effects of the dialectical self on co-brand evaluation under single-and dual-personality conditions and to explore the mediating role of ideal social self-congruence and the moderating role of product type (high vs low conspicuous).

The findings suggest that counterintuitive to the received wisdom, the dialectical self negatively influences one's attitude towards a co-brand in the dual-personality condition only. Further, ideal social self-congruence mediates the relationship between the dialectical self and dual-personality co-brand evaluation in the high conspicuous product condition only.

Important implications are offered to international marketing managers for managing the dialectical self that lead to positive co-brand evaluations. Moreover, managers should highlight ideal social self-congruence for co-branding success for particular product types.

This paper examines co-branding from a novel perspective of consumer dialectical self and shows the pivotal role it plays when brands carry varying cultural traits engage in co-branding. By identifying the role of the dialectical self and the important mediator and moderator, the paper fulfils an important gap in co-branding literature and offers key implications.

Sports advertisements such as the Super Bowl showcase products and brands that have invested increasingly large sums financially to gain viewers’ attention. However, how audio features in advertisements impact viewers' behavior remains unexplored.

Using the lens of signaling theory, this research uses advanced data analytics of voice and music audio in Super Bowl advertisements to examine its impacts on viewers.

Results show that advertisement viewers prefer more voiced frames and have a greater liking behavior of voiced frames with a low intensity (less loud) and a higher F1 frequency, which is typically associated with male vocal tracts. A fast music tempo works better for longer advertisements. The model controls for various types of ad appeals. The research underlines the importance of voice and music in signaling successful brand features that are likely to increase the ad-liking behavior of consumers (positive effect).

The current research implies that brands advertising through sports ads must carefully select voice actors and music in order to provide the most positive signals for a brand to have the most significant effect and, thus, a greater return on the high sums invested in the ads.

First, this research contributes in terms of a new research process for using audio analytics in advertising. The detailed research process outlined can be used for future research examining audio and music from advertisements. Second, our findings provide additional support to the important role of voice features (e.g. intensity and frequency) as signals in inducing responses from consumers (Biswas et al., 2019; Hagtvedt and Brasel, 2016). Third, the study surfaces a new theoretical association: the effect of tempo in moderating the relationship between duration and propensity to like an ad.

While customer perceived augmented reality (AR) values have generally enhanced customer experience, AR value would be appreciated the most by a consumer segment that remains unexplored. Drawing from human value orientation theory and consumption value theory, this research proposes a new model analysing the effects of human value orientation (openness to change, conservation, self-transcendence, and self-enhancement) on perceived AR values (playful, social, visual appeal, usability) and subsequently the effects on customer satisfaction.

:The authors employed a two-step online data collection. The first step was to identify those who had used retailers' AR applications, who were then invited to participate in the full survey in the second step. A sample of 253 AR technology users' data was analysed using partial least square and structural equation modelling.

The results reveal that each human value orientation is associated with its unique perceived AR values and that various perceived AR values influence customer satisfaction differently.

This study shows the pivotal role human value orientation plays in influencing customer perceived AR values and their impacts on customer satisfaction. The findings offer key implications for digital marketing segmentation.