The Human, Learning, Systems approach to commissioning in complexity

Toby Lowe, Max French, Melissa Hawkins
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引用次数: 2

Abstract

This chapter assesses what is required of commissioners in order to create positive social outcomes (such as improved wellbeing, increased employment, or reduced crime) in complex environments. It considers this question through the lens of public sector performance measurement and management (PSPMM), and how this has evolved towards increased complexity by moving from an output (activity) to an outcome (results) focus. The chapter then looks at the different aspects of complexity that arise when seeking to commission activity that creates positive outcomes for citizens and what a complexity-informed response requires. It also reflects on the way in which these requirements challenge existing public management arrangements, particularly in the field of PSPMM, as it applies to commissioning and performance management. Finally, the chapter identifies the emergent 'Human, Learning, Systems' approach to the funding, commissioning, and management of public service, and provides examples of this approach in action.
以人、学习、系统为基础的复杂性委托方法
本章评估了在复杂的环境中,为了创造积极的社会成果(如改善福利、增加就业或减少犯罪),需要委托人做些什么。本章从公共部门绩效衡量与管理 (PSPMM) 的视角来探讨这一问题,以及公共部门绩效衡量与管理如何从注重产出(活动)转向注重结果(成果),从而不断提高复杂性。然后,本章探讨了在寻求开展能为公民创造积极成果的活动时所产生的不同方面的复杂性,以及以复杂性为基础的应对措施的要求。本章还反思了这些要求对现有公共管理安排的挑战,特别是在 PSPMM 领域,因为它适用于委托和绩效管理。最后,本章确定了新出现的 "人、学习、系统 "公共服务筹资、委托和管理方法,并提供了这一方法的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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