Supporting data for "Governing Complexity in Public Organizations: Information, Organizing, and Agent Behaviors "

This thesis develops a conceptual framework that outlines how critical variations in information properties defined in qualitative terms—interactive complexity and descriptive complexity—actively shape individual behaviors and organizational structures. It empirically tests the proposed framework through a series of analyses of policy crisis intelligence in China, examining how government agencies gather and process information during latent periods, when threats loom but have not yet erupted. The study employs causal process tracing (CPT) to analyze China’s policy intelligence management through official documents and field interviews with 10 governmental officials in mainland China. This dataset includes the informed consent letter and interview summary involved in this study.