因果关系(物理学)
公制(单位)
透视图(图形)
转化式学习
计算机科学
先验与后验
性能指标
绩效衡量
知识管理
管理科学
社会学
认识论
管理
经济
人工智能
运营管理
物理
哲学
量子力学
教育学
作者
Chris Skelcher,Helen Sullivan
标识
DOI:10.1080/14719030802423103
摘要
Abstract Abstract The theory-driven approach to analysing and assessing collaborative performance provides an important tool for researchers and policy-makers seeking to understand collaborative performance. It explains performance deductively, in terms of the a priori causality of relationships between variables. Different theoretical domains provide different insights into collaborative performance. The theory-driven approach to collaborative performance contrasts with the metric-driven approach. Here, performance is defined in terms of what can be measured, and causality is then inferred inductively. Five performance domains are identified, covering the democratic, integrative, transformative, policy, and sustainability dimensions of collaboration. These draw on democratic theory, exchange and power-dependency theory, institutional theory, policy network theory, and discourse theory. The analytical consequences of each theory-driven approach are examined through three case studies. The article concludes that each theoretical perspective provides a distinctive insight into collaborative performance, thus more accurately reflecting its multifaceted mature than is possible with a metric-driven approach. Key words: Collaborationevaluationgovernanceperformancetheory Notes 1 This article draws on research supported by the UK Economic and Social Research Council (ESRC) under Research Award RES-000-23-1295 'Democratic anchorage of governance networks in European countries'. The article arose from an interactive Symposium on Performance Measures for Collaborative Networks, held at the XI Conference of the International Research Society for Public Management, Potsdam, Germany, April 2007.
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