Deep transitions: A mixed methods study of the historical evolution of mass production

Laur Kanger, Frederique Bone, Daniele Rotolo, W. Edward Steinmueller, Johan Schot

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Industrial societies contain a range of socio-technical systems fulfilling functions such as the provision of energy, food, mobility, housing, healthcare, finance and communications. The recent Deep Transitions (DT) framework outlines a series of propositions on how the multi-system co-evolution over 250 years of these systems has contributed to several current social and ecological crises. Drawing on evolutionary institutionalism, the DT framework places a special emphasis on the concepts of ‘rules’ and ‘meta-rules’ as coordination mechanisms within and across socio-technical systems. In this paper, we employ a mixed-method approach to provide an empirical assessment of the propositions of the DT framework. We focus on the historical evolution of mass production from the 18th century to the present. Combining a qualitative narrative based on a synthesis of secondary historical literature with a quantitative text mining-based analysis of the corpus of Scientific American (1845–2019), we map the emergence and alignment of rules underpinning mass production. Our study concludes by reflecting on important methodological lessons for the application of text mining techniques to examine large-scale and long-term socio-technical dynamics.
    Original languageEnglish
    Article number121491
    Pages (from-to)1-24
    Number of pages24
    JournalTechnological Forecasting and Social Change
    Volume177
    Early online dateJan 2022
    DOIs
    Publication statusPublished - Apr 2022

    Funding

    This work was supported by James Anderson and Baillie Gifford & Co. The paper has been discussed with several colleagues at the Inter-national Sustainability Transitions 2019 conference and in a series of workshops, including the Deep Transitions research team and invited guests. We would like to thank David Nye, Phil Scranton and Carlota Perez for their informative comments, criticisms and suggestions on previous versions of this paper.

    FundersFunder number
    James Anderson and Baillie Gifford Co

      Keywords

      • Deep transitions
      • Socio-technical systems
      • Rules
      • Mass production
      • Mixed methods
      • Text mining
      • Historical sources

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