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The evolution of dynamic interactions between the knowledge development of powertrain systems

Author

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  • Mirzadeh Phirouzabadi, Amir
  • Savage, David
  • Blackmore, Karen
  • Juniper, James

Abstract

Competition in the already highly competitive automotive industry intensified in the early 1990's. The ubiquitous internal combustion engine began to be challenged by the upstart alternatives of battery and hybrid electric vehicles, which has led to an intricate web of knowledge development. Our research aims to qualify and quantify the dynamic relationships that formed in the knowledge development of powertrains by adopting conceptual insights from evolutionary ecology. Specifically, the interdependent relationships observed in the Technological Innovation System (TIS) framework is similar to that between species such that powertrain systems can either support or inhibit the knowledge growth of one another over time. Our theoretical framework extends the economics of technical change within technologies vis-à-vis the concept of ‘positive and negative externalities’ and ‘knowledge development co-dynamics’. We use patents data extracted from Thomson Reuters' Derwent Innovations Index to measure the knowledge development in each technological field and apply the biological Lotka-Volterra (L-V) model to analyse the data across three separate time periods 1985–1996, 1997–2007, and 2008–2016. Our results show that the behaviour of the powertrain systems change over time as they have behaved as creative (or uncreative) and explorative (or exploitative). We also demonstrate that the powertrain systems go through temporal transitions where the relationship mode between them changes between amensalism, parasitism, commensalism, and symbiosis. In line with this we recommend that policy makers not only devise strategies (offensive or defensive) for each interaction modes but to also consider changing their strategies when there is transition between the modes. Furthermore, policy makers should consider the dual role of ‘creation’ and ‘destruction’ in their innovation policy mixes.

Suggested Citation

  • Mirzadeh Phirouzabadi, Amir & Savage, David & Blackmore, Karen & Juniper, James, 2020. "The evolution of dynamic interactions between the knowledge development of powertrain systems," Transport Policy, Elsevier, vol. 93(C), pages 1-16.
    • Handle: RePEc:eee:trapol:v:93:y:2020:i:c:p:1-16
    DOI: 10.1016/j.tranpol.2020.04.018
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    Cited by:

    1. Mirzadeh Phirouzabadi, Amir & Blackmore, Karen & Savage, David & Juniper, James, 2022. "Modelling and simulating a multi-modal and multi-dimensional technology interaction framework: The case of vehicle powertrain technologies in the US market," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Andrea Ferloni, 2021. "Transitions as a coevolutionary process: the urban emergence of electric vehicle inventions," GEIST - Geography of Innovation and Sustainability Transitions 2021(10), GEIST Working Paper Series.

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    More about this item

    Keywords

    Technological innovation system; Powertrain technologies; Knowledge development; Dynamic interaction; Patent analysis; Lotka-Volterra equations;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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