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2016 | OriginalPaper | Chapter

1. Why Network Impact?

Author : J. M. Hurst

Published in: The Impact of Networks on Unemployment

Publisher: Palgrave Macmillan UK

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Abstract

This introductory chapter outlines a research rationale in network impact and uses unemployment policy as a test case. It claims the literature has overlooked the multi-dimensional impacts of the network concept and that it skews network definitions and governance thinking toward network and organisational participant level impact more than outcomes for citizens. In response, a multi-theoretical and methodological framework approach guides the systematic investigation of the empirical puzzle: why neighbourhood unemployment persists despite the existence of networks. Specifically, the approach examines how five factors: central environment, area-based factors, network structure, network processes and the individual’s actions may affect socially optimal or suboptimal network outcomes, understood at three impact levels: network, organisational/participant and neighbourhood. A further discussion reviews network performance concepts and outcome indictors, and links the empirical puzzle to a policy network typology.

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Footnotes
1
‘Actor’ is a gender-neutral concept, interchangeable with ‘network participant’; both terms represent the policy sector and organisation in which they function to tackle local unemployment.
 
2
A ‘sanction’, states MacInnes et al. (2013: 146), is ‘a reduction in or suspension of Jobseeker’s Allowance (JSA) on account of a breach of the terms of a jobseeker’s agreement’.
 
3
For further information on the ideal-type, prescriptive and descriptive policymaking models, see Hogwood and Gunn (1986: 42–64), and for the stages model see Hill and Hupe (2009: 115–120).
 
4
Socio-economic policy studies have found evidence of ‘The Matthew Effect’, a term attributed to Merton, who claims that individuals or institutions with initial advantage, wealth or status, accumulate advantages and get richer, whereas the disadvantaged become poorer as the cost of acquiring information, knowledge and resources may be too high (see Rigney on Merton 2010: 46).
 
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Metadata
Title
Why Network Impact?
Author
J. M. Hurst
Copyright Year
2016
DOI
https://doi.org/10.1057/978-1-349-66890-8_1