University of Wollongong
Browse

Follow the labour process: Constructing explanations and making a difference through multi-sited ethnographic methods

journal contribution
posted on 2025-03-31, 03:57 authored by Andrew WarrenAndrew Warren, Christopher GibsonChristopher Gibson
This Exchanges commentary adds to recent dialogue in economic geography on how methodological approaches, explanatory goals and political standpoints intersect. Drawing lessons from collaborative projects that have sought to understand the concrete, place-based experiences of labouring in industries amidst capitalist and environmentally induced restructuring, we describe and advocate for a multi-sited ethnographic approach that we call ‘following the labour process’. We highlight three recurring challenges for researchers adopting such an approach to building explanations that purposefully centre labour: (1) developing and maintaining different relationships, (2) making sense of difference and (3) making a difference. Multi-sited following illuminates moral and political aspects of commodity relations, prompting reflection on the ethics of research engagement and knowledge production. While requiring engagement in/across different, interconnected sites, multi-sited ethnographic following can help yield rich empirical insights capable of deepening scholarly explanations, engaging diverse audiences and articulating normative viewpoints.

Funding

Economic geographies of transition: beyond Australian automotive production : Australian Research Council (ARC) | DE180100492

Continuity and change in the Australian industrial landscape : Australian Research Council (ARC) | DP200100633

Sustaining critical infrastructure: the integral role of port workers : Australian Research Council | DP250102201

History

Journal title

Environment and Planning A: Economy and Space

Publisher

SAGE Publications

Publication status

  • Published online

Language

en

Usage metrics

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC