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This paper aims to build on research on the art infusion effect (Hagtvedt and Patrick, 2008a). It investigates the effect of using fine art in advertising and addresses additional factors that have not been assessed to understand and describe the process of art infusion more thoroughly. Thereby, the moderating role of the art interest of individuals and its interplay with the hedonic value of the product is studied. Effects on attitude and willingness to pay are revealed and the perceived value for money as a further mediating variable that drives the art infusion effect under some conditions is investigated. Moreover, the study examines the effect of the artwork’s familiarity.

The experimental study follows a 3 (ad picture: photo, unknown painting, well-known painting) × 2 (art interest: low, high) × 2 (product type: highly hedonic, moderately hedonic) between-subjects-design. In total, 447 consumers were surveyed in museums, art exhibitions and neutral public spaces.

For a clearly hedonic product, the art infusion effect is independent of consumers’ art interest. For an only moderately hedonic and more ambiguous product, this effect only occurs for highly art interested individuals. Moreover, different mediating processes are revealed for these two product types in a moderated mediation model. An effect of familiarity cannot be verified.

Research on effects of art on consumer responses to brands and products is still very limited. In addition to existing research, this paper adds to the identification of boundary conditions and the explanation of drivers of the art infusion effect. Moreover, this is the first study that provides insights on how an artwork affects consumers’ willingness to pay.

Augmented reality (AR) has emerged as a new interactive technology, swiftly transforming the field of marketing. Driven by its rapid uptake in marketing practices, academic research on AR has proliferated. This study aims to offer a holistic view of the past, present and future of augmented reality marketing (ARM) scholarship by analyzing its current and evolving research profile as well as its social and conceptual structures to inspire further research.

This study enriches the ARM scholarship by integrating a quantitative bibliometric analysis with a chronological-thematic review and a qualitative content analysis to develop a more comprehensive understanding of this novel area and suggest future research courses.

The bibliometric analysis reveals the key performance indicators as well as the social and conceptual structure of the ARM research field. The chronological-thematic review exhibits the advancement of ARM research over time and forecasts the emerging trends for the domain. Finally, the content analysis of recent articles reveals the current research hotspots and provides future research directions.

The database limits the selection of literature, as the information in databases such as Scopus is updated regularly, resulting in alterations in the number of articles and citations.

AR developers and brand managers may use this study’s findings to understand the current ARM landscape better and make strategic decisions based on AR adoption and consumption patterns.

This study is singular in using a mixed methods approach by integrating the findings from bibliometric and content analyses for more reliable results and to offer a holistic perspective of the ARM sector, thereby significantly advancing the field of technology-led marketing.