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The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting

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  • Coccia, Mario

Abstract

How to measure the evolution of technology in order to predict innovations that grow rapidly? This study suggests a new perspective based on the theory of technological parasitism, which can measure and assess the dynamics of technological evolution for technological forecasting. In particular, the evolution of technology is modelled here in terms of interaction between a host technology (system) and a parasitic technology (subsystem). The coefficient of evolutionary growth of the model here indicates the evolution of parasitic technology in relation to host technology, suggesting the evolutionary pathway of overall system of technology over time (i.e., underdevelopment, growth and development). This approach is illustrated with realistic examples using empirical data of of product and process technologies: farm tractor, freight locomotive, electricity generation and smartphone technology. Overall, then, the proposed model, based on the theory of technological parasitism, can be useful for bringing a new perspective to explain and generalize properties of the evolution of technology and predict which innovations are likely to evolve rapidly in society.

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  • Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    • Handle: RePEc:eee:tefoso:v:141:y:2019:i:c:p:289-304
    DOI: 10.1016/j.techfore.2018.12.012
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    1. Georgy Levit & Uwe Hossfeld & Ulrich Witt, 2011. "Can Darwinism be “Generalized” and of what use would this be?," Journal of Evolutionary Economics, Springer, vol. 21(4), pages 545-562, October.
    2. Farmer, J. Doyne & Lafond, François, 2016. "How predictable is technological progress?," Research Policy, Elsevier, vol. 45(3), pages 647-665.
    3. Magee, C.L. & Basnet, S. & Funk, J.L. & Benson, C.L., 2016. "Quantitative empirical trends in technical performance," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 237-246.
    4. Chun-Chieh Wang & Hui-Yun Sung & Mu-Hsuan Huang, 2016. "Technological evolution seen from the USPC reclassifications," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 537-553, May.
    5. William D. Nordhaus, 1996. "Do Real-Output and Real-Wage Measures Capture Reality? The History of Lighting Suggests Not," NBER Chapters, in: The Economics of New Goods, pages 27-70, National Bureau of Economic Research, Inc.
    6. Carranza, Juan Esteban, 2010. "Product innovation and adoption in market equilibrium: The case of digital cameras," International Journal of Industrial Organization, Elsevier, vol. 28(6), pages 604-618, November.
    7. Hall, Bronwyn H. & Jaffe, Adam B., 2018. "Measuring Science, Technology, and Innovation: A Review," Annals of Science and Technology Policy, now publishers, vol. 2(1), pages 1-74, March.
    8. Coccia, Mario, 2018. "A Theory of the General Causes of Long Waves: War, General Purpose Technologies, and Economic Change," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 287-295.
    9. Geoffrey M. Hodgson, 2002. "Darwinism in economics: from analogy to ontology," Journal of Evolutionary Economics, Springer, vol. 12(3), pages 259-281.
    10. Coccia, Mario, 2015. "General sources of general purpose technologies in complex societies: Theory of global leadership-driven innovation, warfare and human development," Technology in Society, Elsevier, vol. 42(C), pages 199-226.
    11. Christian Schubert, 2014. "“Generalized Darwinism” and the quest for an evolutionary theory of policy-making," Journal of Evolutionary Economics, Springer, vol. 24(3), pages 479-513, July.
    12. Pistorius, C. W. I. & Utterback, J. M., 1997. "Multi-mode interaction among technologies," Research Policy, Elsevier, vol. 26(1), pages 67-84, March.
    13. Coccia, Mario, 2012. "Driving forces of technological change in medicine: Radical innovations induced by side effects and their impact on society and healthcare," Technology in Society, Elsevier, vol. 34(4), pages 271-283.
    14. Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
    15. Mario Coccia, 2018. "Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations," The Journal of Technology Transfer, Springer, vol. 43(3), pages 792-814, June.
    16. Béla Nagy & J Doyne Farmer & Quan M Bui & Jessika E Trancik, 2013. "Statistical Basis for Predicting Technological Progress," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    17. Timothy F. Bresnahan & Robert J. Gordon, 1996. "The Economics of New Goods," NBER Books, National Bureau of Economic Research, Inc, number bres96-1, July.
    18. J. W. Stoelhorst, 2008. "The explanatory logic and ontological commitments of generalized Darwinism," Journal of Economic Methodology, Taylor & Francis Journals, vol. 15(4), pages 343-363.
    19. Richard Nelson, 2006. "Evolutionary social science and universal Darwinism," Journal of Evolutionary Economics, Springer, vol. 16(5), pages 491-510, December.
    20. Hodgson, Geoffrey M. & Knudsen, Thorbjorn, 2006. "Why we need a generalized Darwinism, and why generalized Darwinism is not enough," Journal of Economic Behavior & Organization, Elsevier, vol. 61(1), pages 1-19, September.
    21. Wright, Gavin, 1997. "Towards a More Historical Approach to Technological Change," Economic Journal, Royal Economic Society, vol. 107(444), pages 1560-1566, September.
    22. 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.
    23. Mario COCCIA, 2018. "Theorem of not independence of any technological innovation," Journal of Economics Bibliography, KSP Journals, vol. 5(1), pages 29-35, March.
    24. Giovanni Dosi, 2000. "Sources, Procedures, and Microeconomic Effects of Innovation," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 2, pages 63-114, Edward Elgar Publishing.
    25. Watanabe, Chihiro & Kanno, Genryo & Tou, Yuji, 2012. "Inside the learning dynamism inducing the resonance between innovation and high-demand consumption: A case of Japan's high-functional mobile phones," Technological Forecasting and Social Change, Elsevier, vol. 79(7), pages 1292-1311.
    26. Ulrich, Karl, 1995. "The role of product architecture in the manufacturing firm," Research Policy, Elsevier, vol. 24(3), pages 419-440, May.
    27. Rosenberg, Nathan, 1969. "The Direction of Technological Change: Inducement Mechanisms and Focusing Devices," Economic Development and Cultural Change, University of Chicago Press, vol. 18(1), pages 1-24, Part I Oc.
    28. Geoffrey Hodgson & Thorbjørn Knudsen, 2008. "In search of general evolutionary principles: Why Darwinism is too important to be left to the biologists," Journal of Bioeconomics, Springer, vol. 10(1), pages 51-69, April.
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    8. Coccia, Mario, 2019. "Why do nations produce science advances and new technology?," Technology in Society, Elsevier, vol. 59(C).
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    More about this item

    Keywords

    Measurement of technology; Technometrics; Technological evolution; Technological change; Coevolution; Nature of technology; Host technology; Parasitic technology; Technological parasitism; Technological innovation; Technological forecasting; Technology assessment; Technological progress;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • 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
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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