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This paper aims to determine the effect of the congruence between a website's background color and its context (product category) on online trust and resulting behavioral intentions in emerging markets.

An online experiment, conducted on 240 web-surfers, compared two versions of a website (high vs low color-context congruence) in terms of online trust and resulting behavioral intentions. The authors also studied the moderating role of the online shopping experience on the color-context congruence impact on online trust.

Results revealed that a website's color-context congruence enhances online trust. The authors have also demonstrated that online trust plays a mediating role in the relationship between color-context congruence and behavioral intentions. Moreover, they found out that the influence of the color-context congruence on online trust is enhanced when the web-surfer is highly experienced in online shopping.

This research contributes to fill in the theoretical gaps and to better understand the influence of color-context congruence on online trust and behavioral intentions in emerging markets. Indeed, past studies had focused on the color impact on online trust without taking into consideration congruence with the website context. However, this study is limited to a single category of products (tourist products) and only two colors (blue and red) were manipulated in the experiment.

This study highlights the importance of selecting a background's color that matches with the sold product category to reassure web-surfers so that they trust the commercial website and express some favorable intentions like buying.

Prior studies had focused on the website's color effect on online trust neglecting color-context congruence. Our study helps to highlight the importance of selecting background colors matching the product category.

The colors of change is an overview of change paradigms, created about two decades ago, that has been intensively used, tested, refined, shared, and elaborated by practitioners and academics alike. Here, the “color theory” is presented as it is now, and is situated within the literature. Its four main applications are described as well as rules of thumb that have been derived from reflective practice. This chapter illustrates that the color theory is clearly not one thing to all people, as it is understood in very different ways, both in terms of its theoretical foundations as well as the complexity of its applications. This probably adds to the versatility of the theory. Bringing together key insights about the color theory for academics and practitioners, this chapter strives both to give a concise overview and to explore its richness.

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.

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.

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.

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.

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.

The present research provides a novel understanding of how visual features, such as color can influence the effectiveness of AI influencers.