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Modelling and simulating a multi-modal and multi-dimensional technology interaction framework: The case of vehicle powertrain technologies in the US market

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

Abstract

A multi-modal and multi-dimensional technology interaction framework is constructed to systematically and dynamically model and simulate the dimension, extent, and modes of multi-technology interactions. Using the Technological Innovation System (TIS), it is argued that a TIS’ internal dynamics couple with the internal dynamics of neighbouring TISs vis-à-vis what is referred to as ‘co-dynamics’ which trade a mix of positive and negative externalities in the form of biological relationship modes. Based on the Lotka-Volterra equations, the framework is quantified and simulated via a computerised System Dynamics model, for the case of internal combustion engine, hybrid, and battery electric vehicles over 1985–2050 in the US market. The pure competition view in the strategic management literature is extended by the nuanced multi-modal interactions in ecology such as parasitic, commensal and amensalism modes. Additionally, the single-path view in the path dependency literature is extended by the nuanced multi-dimensional interactions such as knowledge cross-path interaction and market cross-path interaction. Furthermore, the TIS framework is made more outward orientated by proposing the notion of ‘co-dynamics’ and motors of ‘creative destruction’ and ‘creative accumulation’. It is concluded that innovation policy mixes can possess a triple nature of ‘creation’, ‘destruction’ and ‘accumulation’ for interacting TISs through positive and negative internalities and externalities.

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  • 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).
    • Handle: RePEc:eee:tefoso:v:175:y:2022:i:c:s004016252100843x
    DOI: 10.1016/j.techfore.2021.121412
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    1. Andersson, Martin & Baltzopoulos, Apostolos & Lööf, Hans, 2012. "R&D strategies and entrepreneurial spawning," Research Policy, Elsevier, vol. 41(1), pages 54-68.
    2. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    3. Köhler, Jonathan & Whitmarsh, Lorraine & Nykvist, Björn & Schilperoord, Michel & Bergman, Noam & Haxeltine, Alex, 2009. "A transitions model for sustainable mobility," Ecological Economics, Elsevier, vol. 68(12), pages 2985-2995, October.
    4. Sperling, Dan & Collantes, Gustavo O, 2008. "The origin of California’s zero emission vehicle mandate," Institute of Transportation Studies, Working Paper Series qt9pd8m8gs, Institute of Transportation Studies, UC Davis.
    5. Marc Dijk, 2014. "A socio-technical perspective on the electrification of the automobile: niche and regime interaction," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 14(2), pages 158-171.
    6. Barker, Terry & Ekins, Paul & Foxon, Tim, 2007. "The macro-economic rebound effect and the UK economy," Energy Policy, Elsevier, vol. 35(10), pages 4935-4946, October.
    7. Barbieri, Nicolò, 2016. "Fuel prices and the invention crowding out effect: Releasing the automotive industry from its dependence on fossil fuel," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 222-234.
    8. Francesco Schiavone, 2014. "Innovation Approaches For Old Products Revitalisation After Technological Change: The Rise Of Technology Reverse," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-21.
    9. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
    10. Zolfagharian, Mohammadreza & Walrave, Bob & Raven, Rob & Romme, A. Georges L., 2019. "Studying transitions: Past, present, and future," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    11. Stephan, Annegret & Schmidt, Tobias S. & Bening, Catharina R. & Hoffmann, Volker H., 2017. "The sectoral configuration of technological innovation systems: Patterns of knowledge development and diffusion in the lithium-ion battery technology in Japan," Research Policy, Elsevier, vol. 46(4), pages 709-723.
    12. Dijk, Marc & Orsato, Renato J. & Kemp, René, 2015. "Towards a regime-based typology of market evolution," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 276-289.
    13. Murmann, Johann Peter & Frenken, Koen, 2006. "Toward a systematic framework for research on dominant designs, technological innovations, and industrial change," Research Policy, Elsevier, vol. 35(7), pages 925-952, September.
    14. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    15. Bergek, Anna & Berggren, Christian & Magnusson, Thomas & Hobday, Michael, 2013. "Technological discontinuities and the challenge for incumbent firms: Destruction, disruption or creative accumulation?," Research Policy, Elsevier, vol. 42(6), pages 1210-1224.
    16. Collantes, Gustavo & Sperling, Daniel, 2008. "The origin of California's zero emission vehicle mandate," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1302-1313, December.
    17. Pasaoglu, Guzay & Harrison, Gillian & Jones, Lee & Hill, Andrew & Beaudet, Alexandre & Thiel, Christian, 2016. "A system dynamics based market agent model simulating future powertrain technology transition: Scenarios in the EU light duty vehicle road transport sector," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 133-146.
    18. Simon Sharpe & Timothy M. Lenton, 2021. "Upward-scaling tipping cascades to meet climate goals: plausible grounds for hope," Climate Policy, Taylor & Francis Journals, vol. 21(4), pages 421-433, April.
    19. Raven, Rob & Walrave, Bob, 2020. "Overcoming transformational failures through policy mixes in the dynamics of technological innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Kivimaa, Paula & Kern, Florian, 2016. "Creative destruction or mere niche support? Innovation policy mixes for sustainability transitions," Research Policy, Elsevier, vol. 45(1), pages 205-217.
    21. Jonathan Köhler & Fjalar de Haan & Georg Holtz & Klaus Kubeczko & Enayat Moallemi & George Papachristos & Emile Chappin, 2018. "Modelling Sustainability Transitions: An Assessment of Approaches and Challenges," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(1), pages 1-8.
    22. Jean‐Philippe Vergne & Rodolphe Durand, 2010. "The Missing Link Between the Theory and Empirics of Path Dependence: Conceptual Clarification, Testability Issue, and Methodological Implications," Journal of Management Studies, Wiley Blackwell, vol. 47(4), pages 736-759, June.
    23. Sierzchula, William & Nemet, Gregory, 2015. "Using patents and prototypes for preliminary evaluation of technology-forcing policies: Lessons from California's Zero Emission Vehicle regulations," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 213-224.
    24. Pistorius, C. W. I. & Utterback, J. M., 1997. "Multi-mode interaction among technologies," Research Policy, Elsevier, vol. 26(1), pages 67-84, March.
    25. Torchio, Marco F. & Santarelli, Massimo G., 2010. "Energy, environmental and economic comparison of different powertrain/fuel options using well-to-wheels assessment, energy and external costs – European market analysis," Energy, Elsevier, vol. 35(10), pages 4156-4171.
    26. Magnusson, Thomas & Berggren, Christian, 2018. "Competing innovation systems and the need for redeployment in sustainability transitions," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 217-230.
    27. Dierk Bauknecht & Allan Dahl Andersen & Karoline Dunne, 2020. "Challenges for electricity network governance in Energy transitions: Insights from Norway," Working Papers on Innovation Studies 20200115, Centre for Technology, Innovation and Culture, University of Oslo.
    28. Malhotra, Abhishek & Schmidt, Tobias S. & Huenteler, Joern, 2019. "The role of inter-sectoral learning in knowledge development and diffusion: Case studies on three clean energy technologies," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 464-487.
    29. Andersson, Bjorn A. & Jacobsson, Staffan, 2000. "Monitoring and assessing technology choice: the case of solar cells," Energy Policy, Elsevier, vol. 28(14), pages 1037-1049, November.
    30. Popp, David & Newell, Richard, 2012. "Where does energy R&D come from? Examining crowding out from energy R&D," Energy Economics, Elsevier, vol. 34(4), pages 980-991.
    31. Jun, Seung-Pyo & Yeom, Jaeho & Son, Jong-Ku, 2014. "A study of the method using search traffic to analyze new technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 82-95.
    32. Alkemade, Floortje & Suurs, Roald A.A., 2012. "Patterns of expectations for emerging sustainable technologies," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 448-456.
    33. Péter Érdi & Kinga Makovi & Zoltán Somogyvári & Katherine Strandburg & Jan Tobochnik & Péter Volf & László Zalányi, 2013. "Prediction of emerging technologies based on analysis of the US patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 225-242, April.
    34. Ron Adner & Daniel Snow, 2010. "Old technology responses to new technology threats: demand heterogeneity and technology retreats," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(5), pages 1655-1675, October.
    35. 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.
    36. Sandén, Björn A. & Hillman, Karl M., 2011. "A framework for analysis of multi-mode interaction among technologies with examples from the history of alternative transport fuels in Sweden," Research Policy, Elsevier, vol. 40(3), pages 403-414, April.
    37. Lee Fleming & Charles King & Adam I. Juda, 2007. "Small Worlds and Regional Innovation," Organization Science, INFORMS, vol. 18(6), pages 938-954, December.
    38. Wesseling, J.H. & Faber, J. & Hekkert, M.P., 2014. "How competitive forces sustain electric vehicle development," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 154-164.
    39. Markard, Jochen & Hoffmann, Volker H., 2016. "Analysis of complementarities: Framework and examples from the energy transition," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 63-75.
    40. Walrave, Bob & Raven, Rob, 2016. "Modelling the dynamics of technological innovation systems," Research Policy, Elsevier, vol. 45(9), pages 1833-1844.
    41. Ulrich Dewald & Bernhard Truffer, 2011. "Market Formation in Technological Innovation Systems—Diffusion of Photovoltaic Applications in Germany," Industry and Innovation, Taylor & Francis Journals, vol. 18(3), pages 285-300.
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    More about this item

    Keywords

    Co-dynamics; Inter-technology relationship; Lotka-Volterra equation; System dynamics modelling; Simulation; Technological innovation system; Vehicle powertrain technologies;
    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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