GOV 39/2 2026-03-22
Original A Certain Set of Skills? Pre‐Appointment Careers of Danish Ministerial Advisors
JOP — 2026-03-20
Original When Realism Demands the Unfeasible Functional Binds, Functional Prompts, and the European Union
Carlo Burelli
Abstract
(原文未提供摘要)
中文 当现实主义要求不可行之事:功能束缚、功能提示与欧洲联盟
Carlo Burelli
摘要
原文未提供摘要
关键词
现实主义、可行性、欧洲联盟、功能束缚、功能提示、政治理论
DOI: 10.1086/741452
JOP — 2026-03-20
Original Sentiment on the Campaign Trail: Gender Differences in Candidates’ Use of Emotive Language
AJPS — 2026-03-19
Original You and whose economy? Group‐based retrospection in economic voting
AJPS — 2026-03-19
Original Using large language models to analyze political texts through natural language understanding
Kenneth Benoit, Scott De Marchi, Conor Laver, Michael Laver, Jinshuai Ma
AJPS — 2026-03-19
Original Rulers on the road: Itinerant rule in the Holy Roman Empire, AD 919–1519
GOV 39/2 2026-03-19
Original Challenging Conventional Wisdom on Administrative Capacity With Open Data: Could ‘Administrative Throughput’ Be the Missing Link Between Administrative Inputs and Outputs?
PA — 2026-03-19
Original Academic Experts in Policymaking: Divergent Patterns but Persistent Profiles Across Parliament, Government, and Media
Janne Ingelbeen, Tessa Haesevoets, Bram Wauters
PMR — pp. 1-27 2026-03-18 Original Beyond problemistic search: a contingency perspective on organizational response to performance feedback
Taek Kyu Kim, Weijie Wang
Abstract
Using the behavioral theory of the firm, we develop a contingency perspective of organizational search. Based on an analysis of the risk preference and learning needs of high- and low-performing organizations, we propose that low-performing, risk-tolerant organizations benefit most from searching across boundaries for new knowledge. Conversely, high-performing, risk-averse organizations benefit from internal searches to refine existing routines. We tested these propositions using a regression discontinuity design, analyzing New York City public schools’ responses to academic performance signals. Our empirical results largely support our propositions, enriching the understanding of organizations’ adoption of different search strategies in response to performance signals.
PSJ — 2026-03-17
Original Understanding Citizens' Acceptance of AI in Policymaking: How Policy Domains, Levels of AI Involvement, and Stereotypical Perceptions Shape Public Support