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People invest much time and money in consuming knowledge. We argue that people systematically vary in the types of knowledge they prefer to know and that such preferences can have broad implications for consumer behavior. We illustrate this in the context of the preference for practical versus theoretical knowledge. Specifically, we propose and show that some people prefer to know more about how to apply and make use of phenomena they encounter, whereas others prefer to know more about what explicates and underlies the phenomena. We further propose and demonstrate that the extent to which people prefer practical versus theoretical knowledge can help predict their behaviors in a wide variety of consumption domains such as education (e.g., choice of learning materials, preference for different MBA programs), marketing information (e.g., skepticism toward advertising and reference prices), and intertemporal discounting (e.g., reaction to service delays; preference for fast food restaurants).

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.