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Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology

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  • Chen, Jiyao
  • Shao, Diana
  • Fan, Shaokun

Abstract

The conventional wisdom classifies technologies into dichotomous types, such as competence-enhancing versus competence-destroying or sustaining versus disruptive. This categorization corresponds to the two routes of technology evolution: either consolidating or destabilizing past achievements. However, the combinational view suggests that a technology is a recombination of existing components, and hence it may consolidate some of its prior arts while destabilizing others. Therefore, we propose a dual technology can be simultaneously destabilizing and consolidating. To identify dual technologies, we develop the destabilization index (D) and the consolidation index (C) using patent citation networks. To validate the proposed indexes, we first select representative US patent examples to illustrate the face validity by showing how D and C indexes capture the dual characteristics. Secondly, we assess convergent and discriminant validity by examining the correlations between D and C indexes and other innovation measures. Finally, we evaluate nomological validity by studying the antecedents and the predictive power of the dual characteristics using 2.6 million patents from USPTO's dataset from 1976 to 2006. Regression results show that theory-driven factors such as patent novelty and government interest are associated with D and C indexes as expected. We also find that high D and C indexes are positively associated with patent value as perceived by its owner, and entity size moderates the effects of D and C indexes on patent value differently.

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  • 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).
  • Handle: RePEc:eee:respol:v:50:y:2021:i:1:s0048733320301906
    DOI: 10.1016/j.respol.2020.104115
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    3. Jiexun Li & Jiyao Chen, 2022. "Measuring destabilization and consolidation in scientific knowledge evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5819-5839, October.
    4. Wu, Lingfei & Kittur, Aniket & Youn, Hyejin & Milojević, Staša & Leahey, Erin & Fiore, Stephen M. & Ahn, Yong-Yeol, 2022. "Metrics and mechanisms: Measuring the unmeasurable in the science of science," Journal of Informetrics, Elsevier, vol. 16(2).
    5. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
    6. Lisa Balzarin & Francesco Zirpoli, 2022. "Facing technological change: addressing competence shift in a routines and identity perspective," Working Papers 03, Department of Management, Università Ca' Foscari Venezia.

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    More about this item

    Keywords

    A duality view; Dual technology; Innovation measurement; Network perspective; Citation network;
    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
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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