Tae Woo Kim, Li Jiang, A. Duhachek, Hyejin Lee, Aaron M. Garvey
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引用次数: 16
Abstract
The use of Artificial Intelligence (AI) has grown rapidly in the service industry and AI’s emotional capabilities have become an important feature for interacting with customers. The current research examines personal disclosures that occur during consumer interactions with AI and humans in service settings. We found that consumers’ lay beliefs about AI (i.e., a perceived lack of social judgment capability) lead to enhanced disclosure of sensitive personal information to AI (vs. humans). We identify boundaries for this effect such that consumers prefer disclosure to humans over AI in (i) contexts where social support (rather than social judgment) is expected and (ii) contexts where sensitive information will be curated by the agent for social dissemination. In addition, we reveal underlying psychological processes such that the motivation to avoid negative social judgment favors disclosing to AI whereas seeking emotional support favors disclosing to humans. Moreover, we reveal that adding humanlike factors to AI can increase consumer fear of social judgment (reducing disclosure in contexts of social risk) while simultaneously increasing perceived AI capacity for empathy (increasing disclosure in contexts of social support). Taken together, these findings provide theoretical and practical insights into tradeoffs between utilizing AI versus human agents in service contexts.
期刊介绍:
The Journal of Service Research (JSR) is recognized as the foremost service research journal globally. It is an indispensable resource for staying updated on the latest advancements in service research. With its accessible and applicable approach, JSR equips readers with the essential knowledge and strategies needed to navigate an increasingly service-oriented economy. Brimming with contributions from esteemed service professionals and scholars, JSR presents a wealth of articles that offer invaluable insights from academia and industry alike.