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Probability of discoveries between research fields to explain scientific and technological change

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  • Coccia, Mario

Abstract

One of the fundamental problems in science is the understanding of discovery and innovation process to explain scientific and technological change in society. The study confronts this problem here by analyzing the different probability of unique (singleton) and multiple discoveries between research fields to clarify the inventive behavior in science and technology. The method here supposes that the occurrence of discoveries between research fields follows the Poisson distribution. This probabilistic model is applied to determine the probability of singletons and multiple discoveries, and inventions in medicine and physics that are critical research fields to science and society. We find that, over a period of ten years, the probability that at least one discovery occurs in physics and medicine is a rather similar event (11.1%), whereas the probability that at least two discoveries occur in these research fields is less than 1%, i.e., a very rare event. Results also suggest that the probability of patented inventions in medicine is higher than physics. The different probability of patented inventions in medicine can be mainly due to more opportunistic scholars, scientific institutions and stakeholders, associated with university-industry collaborations to develop inventions and commercialize innovations to solve health problems in society. These findings show the property of heterogeneity in inventive process between research fields and specificity of scientific and technological paths based on nature and scientific ecosystem of each discipline. These characteristics contribute theoretically to extend the theories of scientific change and practically to improve the decision making of policymakers for better allocating resources and supporting scientific planning having a positive societal impact of science.

Suggested Citation

  • Coccia, Mario, 2022. "Probability of discoveries between research fields to explain scientific and technological change," Technology in Society, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x2200015x
    DOI: 10.1016/j.techsoc.2022.101874
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    References listed on IDEAS

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    1. David C. Stapleton, 1989. "Cohort Size and the Academic Labor Market," Journal of Human Resources, University of Wisconsin Press, vol. 24(2), pages 221-252.
    2. Ronald G. Ehrenberg, 1991. "A Stock Flow Model of Academic Labor Supply," NBER Chapters, in: Economic Challenges in Higher Education, pages 153-173, National Bureau of Economic Research, Inc.
    3. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
    4. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    5. Mario Coccia, 2018. "General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1265-1283, November.
    6. De Roeck, Albert, 2016. "The probability of discovery," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 13-19.
    7. Mario Coccia, 2001. "Satisfaction, work involvement and R&D performance," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 1(2/3/4), pages 268-282.
    8. 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.
    9. Coccia, Mario, 2019. "Why do nations produce science advances and new technology?," Technology in Society, Elsevier, vol. 59(C).
    10. Min, Chao & Bu, Yi & Sun, Jianjun, 2021. "Predicting scientific breakthroughs based on knowledge structure variations," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    11. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
    12. Guindalini, Camila & Verreynne, Martie-Louise & Kastelle, Tim, 2021. "Taking scientific inventions to market: Mapping the academic entrepreneurship ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Saeed Roshani & Mohammad-Reza Bagherylooieh & Melika Mosleh & Mario Coccia, 2021. "What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7859-7874, September.
    14. Young-Hwan Lee, 2021. "Determinants of research productivity in Korean Universities: the role of research funding," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1462-1486, October.
    15. Katy Börner & Wolfgang Glänzel & Andrea Scharnhorst & Peter Besselaar, 2011. "Modeling science: studying the structure and dynamics of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 347-348, October.
    16. Bettencourt, Luís M.A. & Kaiser, David I. & Kaur, Jasleen, 2009. "Scientific discovery and topological transitions in collaboration networks," Journal of Informetrics, Elsevier, vol. 3(3), pages 210-221.
    17. Mario Coccia, 2021. "Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9405-9429, December.
    18. Mario COCCIA, 2017. "Disruptive firms and industrial change," Journal of Economic and Social Thought, KSP Journals, vol. 4(4), pages 437-450, December.
    19. Small, Henry, 2018. "Characterizing highly cited method and non-method papers using citation contexts: The role of uncertainty," Journal of Informetrics, Elsevier, vol. 12(2), pages 461-480.
    20. Freeman, Richard B, 1975. "Supply and Salary Adjustments to the Changing Science Manpower Market: Physics, 1948-1973," American Economic Review, American Economic Association, vol. 65(1), pages 27-39, March.
    21. Mario Coccia, 2008. "New organisational behaviour of public research institutions: lessons learned from Italian case study," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 2(4), pages 402-419.
    22. Small, Henry & Tseng, Hung & Patek, Mike, 2017. "Discovering discoveries: Identifying biomedical discoveries using citation contexts," Journal of Informetrics, Elsevier, vol. 11(1), pages 46-62.
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    Cited by:

    1. Melika Mosleh & Saeed Roshani & Mario Coccia, 2022. "Scientific laws of research funding to support citations and diffusion of knowledge in life science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1931-1951, April.
    2. Mario Coccia & Saeed Roshani, 2024. "Evolution of topics and trends in emerging research fields: multiple analyses with entity linking, Mann–Kendall test and burst methods in cloud computing," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5347-5371, September.
    3. Coccia, Mario, 2023. "New Perspectives in Innovation Failure Analysis: A taxonomy of general errors and strategic management for reducing risks," Technology in Society, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    Discovery process; Novelty; Scientific breakthrough; Scientific discovery; Scientific change; Dynamics of science; Poisson distribution; Rare event; Research fields; Invention; Technological change;
    All these keywords.

    JEL classification:

    • B30 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals - - - General
    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • Z00 - Other Special Topics - - General - - - General
    • Z10 - Other Special Topics - - Cultural Economics - - - General
    • Z19 - Other Special Topics - - Cultural Economics - - - Other

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