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Article
Publication date: 7 August 2024

Charunayan Kamath and Sivakumar Alur

The widespread use of mobile apps in marketing has resulted in in-app advertising to promote products and services. Research on in-app advertising has focused on several…

Abstract

Purpose

The widespread use of mobile apps in marketing has resulted in in-app advertising to promote products and services. Research on in-app advertising has focused on several dimensions but not on the modality of ad generation. The use of artificial intelligence (AI) and memes as advertisements has paved the way for multiple ways to create them. This study aims to understand the effect of various advertisement generation modalities on an individual’s trust, attitude toward the advertisement, subjective norms, intentions and use of a particular product.

Design/methodology/approach

Using the theoretical lens of reasoned action and trust, the authors explored through an experimental study (five treatments-AI-generated ad and meme, human-created ad and meme and user-generated meme, and (n = 300) the consumer’s intention to purchase a fictitious shampoo brand based on in-app advertising. The respondents were exposed to one of the treatments without knowledge of the ad generation modality.

Findings

Trust differed significantly across all the experimental conditions. Furthermore, the authors observe that the theory of reasoned action holds for all advertising generation modalities.

Originality/value

The use of AI in advertising is increasing exponentially, and brands are using AI-generated content to engage with their audiences on various platforms. To the best of the authors’ knowledge, this is one of the first studies to attempt to understand the effects of various ad generation modalities on the trust, attitude and behavior of individuals. Furthermore, this study examines both AI and human-created memes and their effects. The authors suggest optimizing the prompt engineering to develop AI-generated images.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 16 April 2024

Chenchen Weng, Martin J. Liu, Jun Luo and Natalia Yannopoulou

Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what…

Abstract

Purpose

Drawing on the social presence theory, this study aims to explore how supplier–customer social media interactions influence supplier observers’ trust in the customers and what mechanisms contribute to variation in trust experience.

Design/methodology/approach

A total of 36 semi-structured interviews were conducted with Chinese suppliers using WeChat for business-to-business interactions. Data were analyzed in three steps: open coding, axial coding and selective coding.

Findings

Findings reveal that varied trust is based not only on the categories of social presence of interaction – whether social presence is embedded in informative interactions – but also on the perceived selectivity in social presence. Observer suppliers who experience selectivity during social and affective interactions create a perception of hidden information and an unhealthy relationship atmosphere, and report a sense of emotional vulnerability, thus eroding cognitive and affective trust.

Originality/value

The findings contribute new understandings to social presence theory by exploring the social presence of interactions in a supplier–supplier–customer triad and offer valuable insights into business-to-business social media literature by adopting a suppliers’ viewpoint to unpack the mechanisms of how social presence of interaction positively and negatively influences suppliers’ trust and behavioral responses.

Details

Industrial Management & Data Systems, vol. 124 no. 5
Type: Research Article
ISSN: 0263-5577

Keywords

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