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.
Which should people buy to make themselves happy: experiences or material goods? The answer depends in part on the level of resources already available in their lives. Across multiple studies using a range of methodologies, we found that individuals of higher social class, whose abundant resources make it possible to focus on self-development and self-expression, were made happier by experiential over material purchases. No such experiential advantage emerged for individuals of lower social class, whose lesser resources engender concern with resource management and wise use of limited finances. Instead, lower-class individuals were made happier from material purchases or were equally happy from experiential and material purchases.
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