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Getting the Priorities Straight: Public Values in AI Adoption

PA — 2026-08-08 Original Getting the Priorities Straight: Public Values in AI Adoption Jinke M. Oostvogel, Matthew Young, Bram Klievink Abstract ABSTRACT Artificial Intelligence (AI) is adopted in public organizations as a transformative innovation, yet how value prioritizations unfold in AI adoption processes remains underexplored. Therefore, we ask: How do public values unfold in AI adoption processes in public organizations? We conducted a qualitative case study of an AI adoption process at the radiology department of a Dutch academic hospital after the decision to adopt is made and before implementation, using ethnographic fieldwork, interviews, and document analysis. Our findings highlight how public values and the AI adoption process are balanced in the transition from the initiation to the implementation stage. We find a recursive relationship between public values and the AI adoption process. We show an interplay of instrumental and intrinsic values. We highlight the importance of top‐down adoption decisions for how public values are perceived, and we show the importance of public organizations ensuring public values are safeguarded in public‐private partnerships.

Supply‐Side Policy Feedback

PSJ 54/3 2026-08-07 Original Supply‐Side Policy Feedback Isabel M. Perera Abstract ABSTRACT The scholarship on policy feedback has been among the most plentiful and successful of the policy sciences. Much of it has focused on the demand‐side, or on the political relationship between a public policy and its recipients. Less attention has been paid to the supply‐side: the political relationship between a public policy and its providers. Parents may care about education, patients about health care, and prisoners about criminal justice—but an emerging literature shows that teachers, hospital employees, and the police care just as, if not more, about these areas. This article builds on new work to introduce a theory of supply‐side policy feedback and outline a research agenda for its further investigation.

Institutional Pressures or Organizational Capacity? Antecedents of Digital Maturity in Local Governments

PA — 2026-08-06 Original Institutional Pressures or Organizational Capacity? Antecedents of Digital Maturity in Local Governments Sarah Van Impe, Lieselot Danneels, Ben Suykens Abstract ABSTRACT Public administration research has identified institutional pressures and organizational capacity as digital maturity (DM) antecedents, yet these are typically considered in isolation. Taking the proverbial next step, this study draws on primary survey data to explain the variation of DM among local governments in Flanders (the northern region of Belgium) by juxtaposing the explanatory power of institutional pressures on the one hand, and political and administrative capacity on the other hand. Using multiple regression analyses, our findings highlight the critical role of administrative capacity in advancing DM among local governments. In contrast, and somewhat surprisingly, political capacity and institutional pressures appear to play a more limited role. These findings challenge conventional assumptions in existing literature, indicating that institutional pressures may catalyze the initial stages of DT, whereas organizational capacity seems to be more influential in sustaining and advancing DM.