Color effects on AI influencers’ product recommendations

IF 3.7 3区 管理学 Q2 BUSINESS European Journal of Marketing Pub Date : 2023-07-18 DOI:10.1108/ejm-03-2022-0185
Ka Wing Chan, F. Septianto, Junbum Kwon, Revathi Sridhar Kamal
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Abstract

Purpose This paper aims to theorize and investigate the use of effective color features in artificial intelligence (AI) influencers, an emerging marketing trend in the social media context. Design/methodology/approach By analyzing 6,132 pictures posted by ten AI influencers on Instagram, this paper examines the effect of warm colors in AI influencers’ social media posts on consumer responses, and how other color features may moderate the effect of warm color. In addition, two experimental studies reveal the underlying process driving the effect of warm color. Findings Warmer color generated more favorable consumer responses, with brightness significantly moderating the relationship between warm color and favorable consumer responses. Moreover, the results of the experiments establish that perceived warmth and emotional trust mediate the causal effect of warm colors on consumer responses. Research limitations/implications There is still little understanding about consumer perceptions of AI influencers and their acceptance of AI influencers’ product recommendations. As such, this research offers theoretical understanding of the color features influencing the effectiveness of recommendations by AI influencers. Practical implications Brands have started deploying AI influencers as their brand ambassadors to make product recommendations, representing a new wave of advertising on social media. The findings will thus benefit marketers in developing effective product recommendations using AI influencers. Originality/value The present research provides a novel understanding of how visual features, such as color can influence the effectiveness of AI influencers.
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人工智能网红推荐产品的颜色效果
目的本文旨在对人工智能(AI)影响者中有效颜色特征的使用进行理论化和调查,这是社交媒体背景下的一种新兴营销趋势。设计/方法/方法通过分析10位人工智能影响者在Instagram上发布的6132张图片,本文研究了人工智能影响人社交媒体帖子中暖色对消费者反应的影响,以及其他颜色特征如何调节暖色的影响。此外,两项实验研究揭示了驱动暖色效果的潜在过程。发现暖色产生了更有利的消费者反应,亮度显著调节了暖色和有利消费者反应之间的关系。此外,实验结果表明,感知到的温暖和情感信任介导了暖色对消费者反应的因果效应。研究局限性/含义对于消费者对人工智能影响者的看法以及他们对人工智能影响力者产品推荐的接受程度,仍然知之甚少。因此,这项研究提供了对影响人工智能影响者推荐有效性的颜色特征的理论理解。实际含义品牌已经开始部署人工智能影响者作为他们的品牌大使来进行产品推荐,这代表了社交媒体上的新一轮广告浪潮。因此,这些发现将有利于营销人员利用人工智能影响者开发有效的产品推荐。独创性/价值当前的研究为视觉特征(如颜色)如何影响人工智能影响者的有效性提供了一个新的理解。
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来源期刊
CiteScore
6.90
自引率
13.60%
发文量
126
期刊介绍: The EJM is receptive to all areas of research which are relevant to marketing academic research, some examples are: ■Sustainability and ethical issues in marketing ■Consumer behaviour ■Advertising and branding issues ■Sales management and personal selling ■Methodology and metatheory of marketing research ■International and export marketing ■Services marketing ■New product development and innovation ■Retailing and distribution ■Macromarketing and societal issues ■Pricing and economic decision making in marketing ■Marketing models
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