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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/28294

Title: Unravelling legacy: a triadic actor-network theory approach to understanding the outcomes of mega events
Authors: Dawson, Jordan O.
Jons, Heike
Keywords: Legacy
Mega events
Actor-network theory
London 2012
Queen Elizabeth Olympic Park
Issue Date: 2018
Publisher: © Taylor & Francis
Citation: DAWSON, J. and JONS, H., 2018. Unravelling legacy: a triadic actor-network theory approach to understanding the outcomes of mega events. Journal of Sport and Tourism, 22 (1), pp.43-65.
Abstract: Mega events have recently attracted the attention of social scientists due to their important role for festival capitalism, urban regeneration and political propaganda. Their planning stage often produces elaborate strategies for maximising the benefits before, during and after the actual event, which has given rise to interdisciplinary studies of event legacy and leveraging. This paper aims to advance ongoing debates on the outcomes of sports mega events by bringing together the literatures on mega event legacy, leveraging and actor-network theory. Drawing on a case study on the usage of the Queen Elizabeth Olympic Park, the main legacy of the London 2012 Olympic Games, the paper develops a novel conceptual framework for researching the multi-scalar outcomes of mega events and locating respective studies within the resulting wider research agenda. The proposed concept extends Preuss’ (2007) legacy cube in two ways by visualising its five research dimensions in the legacy rings and using three rather than two sub-dimensions per ring, thereby replacing the restrictive dyads of dualistic thinking through more comprehensive but still manageable triads of triadic thought (Jöns, 2006).
Description: This paper is closed access until 6 August 2019.
Version: Accepted for publication
DOI: 10.1080/14775085.2018.1432409
URI: https://dspace.lboro.ac.uk/2134/28294
Publisher Link: https://doi.org/10.1080/14775085.2018.1432409
ISSN: 1477-5085
Appears in Collections:Closed Access (Geography and Environment)

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