KDI: Knowledge Networking in the Public Sector

KDI：公共部门的知识网络

• 批准号: 9979839
• 负责人: Sharon Dawes
• 金额: $ 100万
• 依托单位: SUNY at Albany
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9979839&HistoricalAwards=false
• 关键词: KDI; Knowledge; Networking; Public; Sector

This study examines the formation and operation of Knowledge Networks (KNs) in the public sector. The study describes, evaluates, and compares several empirical cases involving groups of agencies in New York State engaged in programmatic or administrative innovations that depend on the sharing of knowledge and information across multiple organizations. The investigators identify the dimensions of success and evaluate how organizational, technological, and political factors influence results. The study produces and enhanced model of KN formation and operation in the public sector as well as recommendations to practitioners about planning and implementing knowledge networks.The three-year study addresses the following research questions:- what are the defining characteristics of successful knowledge networks in the public sector?- what activities comprise the processes of planning and implementing these networks? How does the order or combination of activities affect results?- what organizational, technological, and political factors influence public sector knowledge networks and how can they be measured? What is their relative importance at each stage of the planning and implementing process? How sensitive are they to different environmental conditions?The review of existing research on these questions establishes that previous researchers have applied a number of disciplinary lenses and identified an abundance of characteristics, activities, factors, and conditions as relevant to effective KNs. The complexity of the environment in which KNs develop is mirrored in the complexity of the research insights, yielding an understanding of this phenomenon that is both confusing and incomplete. This complexity is especially unsatisfying for practitioners, who have little guidance from the research literature that would help them maximize their chances for developing successful knowledge networks.The study addresses these questions through an in-vivo examination of actual public sector initiatives as they are being developed, together with a study of one successful benchmark initiative. Each of the seven initiatives is studied as a distinct case, using a comparative case study design. Because of the Center for Technology in Government's (CTG's) unique project based collaboration with New York State government agencies, the researchers in this study have exceptional access to these organizations, their staffs, their partners, and their customers. For the purpose of this investigation the researchers define a knowledge network as a combination of inter-organizational relationships, policies, information content, work processes and technology tools and architectures brought together to achieve collectively defined purposes. This definition is reflected in a preliminary framework that guides the data collection and analysis. A subsequent revised framework forms the basis for further research and serves as guidance for building and operating future KNs in the public sector.

本研究探讨公共部门知识网络的形成与运作。该研究描述、评估和比较了几个涉及纽约州机构群体的经验案例，这些机构从事依赖于跨多个组织共享知识和信息的程序性或行政创新。调查人员确定了成功的维度，并评估了组织、技术和政治因素如何影响结果。研究为公共部门知识网络的形成和运作提供了一个改进的模型，并为从业者提供了规划和实施知识网络的建议。这项为期三年的研究旨在探讨以下研究问题：公共部门成功的知识网络的决定性特征是什么？-哪些活动包括规划和实施这些网络的过程？活动的顺序或组合如何影响结果？-影响公共部门知识网络的组织、技术和政治因素是什么？如何衡量这些因素？它们在规划和实施过程的每个阶段的相对重要性是什么？它们对不同的环境条件有多敏感？对这些问题的现有研究的回顾表明，以前的研究人员已经应用了许多学科的视角，并确定了与有效的KNs相关的大量特征、活动、因素和条件。KNs发展环境的复杂性反映在研究见解的复杂性中，对这一现象的理解既令人困惑又不完整。对于实践者来说，这种复杂性尤其令人不满意，因为他们很少从研究文献中获得指导，而这些指导可以帮助他们最大化开发成功知识网络的机会。该研究通过对正在制定的实际公共部门倡议进行体内检查，并对一个成功的基准倡议进行研究，解决了这些问题。这七项举措中的每一项都作为一个独特的案例进行研究，使用比较案例研究设计。由于政府技术中心（CTG）与纽约州政府机构的独特项目合作，本研究的研究人员有特殊的机会接触这些组织、他们的员工、合作伙伴和客户。为了本研究的目的，研究者将知识网络定义为组织间关系、政策、信息内容、工作流程、技术工具和架构的组合，这些组合汇集在一起，以实现集体定义的目标。这一定义反映在指导数据收集和分析的初步框架中。随后修订的框架为进一步研究奠定了基础，并为公共部门未来建立和运营KNs提供指导。