Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Agency, temporalities and the mediation of COVID within global production networks

Fuller, Crispian ORCID: https://orcid.org/0000-0002-8399-7963 2024. Agency, temporalities and the mediation of COVID within global production networks. Economic Geography 100 (3) , pp. 274-292. 10.1080/00130095.2024.2357093
Item availability restricted.

[thumbnail of Fuller 2024 Agency temporalities postprint.pdf] PDF - Accepted Post-Print Version
Restricted to Repository staff only until 30 May 2025 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (235kB)

Abstract

While the global production networks (GPNs) approach produces important conceptual insights into the causal factors influencing GPNs, studies have been less concerned with the temporal intricacies of decision-making by actors. This article extends the GPN approach by examining why and how firms in the Welsh automotive sector have constructed and performed particular temporalities in response to the upheavals of COVID. A process philosophy perspective is utilized for examining how temporalities are socially constructed by human actors through actual occasions. Actors weave the past, present, and future together in socially constructed temporalities, which are imbricated with the space-times of actual occasions. The article finds that the temporalities and space-times of actions to mediate COVID have been configured around reducing and maintaining costs, and increasing risk management.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Publisher: Taylor and Francis Group
ISSN: 1944-8287
Date of First Compliant Deposit: 16 May 2024
Date of Acceptance: 3 May 2024
Last Modified: 06 Aug 2024 20:43
URI: https://orca.cardiff.ac.uk/id/eprint/168973

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics