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Linking Decision Roles to Knowledge Utilization in US State Governments: A Mixed‐Method Study

PAR

2026-07-27

Original

Linking Decision Roles to Knowledge Utilization in US State Governments: A Mixed‐Method Study

Shuping Wang, Yuan (Daniel) Cheng, Chengxin Xu

Abstract

ABSTRACT The current movement for evidence‐based policymaking advocates the use of scientific knowledge in government. However, in practice, civil servants often prioritize different types of knowledge depending on their decision‐making roles and the context. Using survey responses from 259 civil servants across three US state governments and 36 semistructured interviews, we employ a mixed‐method approach to understand how civil servants strategically utilize various types of knowledge to meet different role requirements and decision‐making responsibilities. Consistent with our hypotheses, our findings indicate that civil servants involved in policy and legislative roles value political knowledge more, while those in contracting roles place greater importance on experiential knowledge. Contrary to our hypothesis, while civil servants in budgeting roles value political knowledge more than their counterparts in other decision roles, they show no such preference for scientific knowledge. Our qualitative interviews provide possible mechanisms for this unexpected finding.

中文

美国州政府中决策角色与知识利用的关联:一项混合方法研究

Shuping Wang, Yuan (Daniel) Cheng, Chengxin Xu

摘要

摘要:当前循证政策制定运动倡导在政府中运用科学知识。然而,在实践中,公务员往往根据其决策角色和情境而优先考虑不同类型的知识。我们使用来自美国三个州政府259名公务员的调查回应以及36次半结构化访谈,采用混合方法,以理解公务员如何策略性地利用各类知识来满足不同的角色要求和决策职责。与我们的假设一致,研究发现,参与政策和立法角色的公务员更重视政治知识,而承担合同角色的公务员则更看重经验知识。与我们的假设相反,尽管预算角色的公务员比其他决策角色的同行更重视政治知识,但他们并未表现出对科学知识的类似偏好。我们的定性访谈为这一意外发现提供了可能的机制。

关键词

循证政策制定、知识利用、决策角色、公务员、州政府、混合方法、美国、政治知识