Concepedia

TLDR

AI is rapidly adopted in marketing, yet how consumers trust AI‑generated information remains unclear, making it essential to study factors that influence acceptance. The study investigates whether the precision of numerical details in AI outputs influences consumer trust and, consequently, their judgments and behavioral intentions toward AI recommendations. Across five studies, precise numerical presentation increased evaluations and behavioral intentions, with consumer trust mediating this effect and the influence being stronger when AI accuracy and product quality were high, offering both theoretical and practical insights for AI marketing.

Abstract

Abstract When do consumers trust artificial intelligence (AI)? With the rapid adoption of AI technology in the field of marketing, it is crucial to understand how consumer adoption of the information generated by AI can be improved. This study explores a novel relationship between number presentation details associated with AI and consumers' behavioral and evaluative responses toward AI. We theorized that consumer trust would mediate the preciseness effect on consumer judgment and evaluation of the information provided by AI. The results of five studies demonstrated that the use of a precise (vs. imprecise) information format leads to higher evaluations and behavioral intentions. We also show mediational evidence indicating that the effect of number preciseness is mediated by consumer trust (Studies 2, 4, and 5). We further show that the preciseness effect is moderated by the accuracy of AI‐generated information (Study 3) and the objective product quality of the recommended products (Study 4). This study provides theoretical implications to the AI acceptance literature, the information processing literature, the consumer trust literature, and the decision‐making literature. Moreover, this study makes practical implications for marketers of AI businesses including those who strategically use AI‐generated information.

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