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Measuring destabilization and consolidation in scientific knowledge evolution

Author

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  • Jiexun Li

    (Western Washington University)

  • Jiyao Chen

    (Oregon State University)

Abstract

The dynamic process of knowledge evolution can be divided into two routes: (1) new knowledge is cumulatively built upon past scientific achievements, and (2) the new replaces the old in a non-cumulative fashion. While existing measures such as citation counts are central to assessing the impact of articles and the viability of research streams, they do not quantify the two routes of knowledge evolution. In this research we develop two indexes, destabilization (D) and consolidation (C), that measure the effects that an article may have on the subsequent use of its predecessors—whether it consolidates or destabilizes the existing literature in terms of the influences on its predecessors’ future usage. Using a dataset of 45,616 papers from 24 premium business journals, this study shows that the D and C indexes are complementary to the citation count to measure the impact of a scientific article and capture the two directions of knowledge evolution.

Suggested Citation

  • Jiexun Li & Jiyao Chen, 2022. "Measuring destabilization and consolidation in scientific knowledge evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5819-5839, October.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:10:d:10.1007_s11192-022-04479-3
    DOI: 10.1007/s11192-022-04479-3
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    References listed on IDEAS

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    1. Lingfei Wu & Dashun Wang & James A. Evans, 2019. "Large teams develop and small teams disrupt science and technology," Nature, Nature, vol. 566(7744), pages 378-382, February.
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    4. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    5. Schoenmakers, Wilfred & Duysters, Geert, 2010. "The technological origins of radical inventions," Research Policy, Elsevier, vol. 39(8), pages 1051-1059, October.
    6. Sarath Balachandran & Exequiel Hernandez, 2018. "Networks and Innovation: Accounting for Structural and Institutional Sources of Recombination in Brokerage Triads," Organization Science, INFORMS, vol. 29(1), pages 80-99, February.
    7. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    8. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    9. Chen, Jiyao & Shao, Diana & Fan, Shaokun, 2021. "Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology," Research Policy, Elsevier, vol. 50(1).
    10. Russell J. Funk & Jason Owen-Smith, 2017. "A Dynamic Network Measure of Technological Change," Management Science, INFORMS, vol. 63(3), pages 791-817, March.
    11. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    12. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
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    1. Naudé, Wim, 2024. "Is the Scholarly Field of Entrepreneurship at Its End?," IZA Discussion Papers 16916, Institute of Labor Economics (IZA).

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