earticle

영어

The success of generative AI heavily relies on the quality of the information it generates in response to user prompts. However, there has been limited research focused on investigating the multifaceted dimensions of information quality and how they interact in the context of generative AI outputs. In an initial effort to fill this gap, our study embarked on identifying the key dimensions of information quality specific to generative AI (IQ-GAI) by integrating prior information/data quality studies with insights from a focus group of business analytics experts, and investigated the nomological networks through the cognitive mapping method. This exploration led to the identification of eleven IQ-GAI dimensions and their nomological networks. Our study is expected to offer valuable insights to assess and enhance the IQ-GAI outputs and to develop theoretical frameworks to assess the impact of IQ-GAI on the perceptions and behaviors of generative AI users.