Abstract
This study examines how organizational management styles and artificial intelligence (AI) framing influence the decision-making behavior of street-level bureaucrats in citizen-facing contexts. Using an online survey experiment, participants will be randomly assigned to scenarios that manipulate management style (e.g., bureaucratic, innovative, and participatory) and AI system value framing. Participants will then respond to hypothetical situations and be asked to answer post-vignette survey questions, allowing researchers to assess how these factors shape their behavioral orientations and reliance on AI-assisted recommendations in a decision-making process.
This research project involves three research questions: 1) how does organizational management style interacted with role perceptions shape the behavioral orientation of street-level bureaucrats in citizen-facing situations? 2) how does the interaction between management style and AI value framing shape which behavioral logic street-level bureaucrats default to in citizen-facing situations? 3) does value congruence between management style and AI framing increase bureaucrats' willingness to rely on the AI system? Data collected will consist of survey responses to experimental vignettes and follow-up questions measuring attitudes, behavioral intentions, and perceived appropriateness of AI use.