Performance information and issue prioritization by political and managerial decision-makers: A discrete choice experiment

• 成果类型: Article
• 署名作者: van der Voet, Joris; Lerusse, Amandine
• 署名单位: Leiden University - Excl LUMC; Leiden University
• 刊物名称: JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY
• ISSN/ISSBN: 1053-1858
• DOI: 10.1093/jopart/muae011
• 发表日期: 2024
• 页码: 582-597
• 关键词: aspiration levels; attitudes; MODEL; POWER

摘要

Issue prioritization is the first stage of attention-based theories of decision-making, but remains theoretically and empirically uncharted territory in public administration research. We propose and test how issue prioritization is informed by the characteristics of the performance information on which decision-makers rely, in particular its source (internal or external information), nature (objective or subjective information), aspiration level (historical, social, or coercive aspirations), and required cognitive effort (attention costs). Furthermore, we theorize how these characteristics of performance information determine issue prioritization decisions of political and managerial decision-makers in different ways. We empirically examine issue prioritization decisions in road maintenance and primary school education using a discrete choice experiment among 2,313 local government officials. The experiment reveals that decision-makers are more likely to prioritize issues that are signaled through objective performance measures and that are articulated relative to coercive aspirations, but that the effects of the information's source and attention costs differ between policy domains. Comparison of observational variation regarding decision-makers' roles indicates that public managers more strongly prioritize road maintenance issues that are articulated in objective performance information, but not in primary school education. The study advances public administration research and theory with a horizontal behavioral perspective on decision-makers' information processing to prioritize between simultaneous performance issues.