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作者:

Qiao, Yali (Qiao, Yali.) | Wang, Xuefeng (Wang, Xuefeng.) | Huang, Ying (Huang, Ying.) | Zhang, Shuo (Zhang, Shuo.) | Yang, Xuemei (Yang, Xuemei.)

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摘要:

Identifying potentially disruptive technologies is challenging but important for innovators. The existing research based on the tech mining approach pays much attention to technological change but less attention to characterizing its disruptive process and effects. In this article, we suggest a novel perspective to help understand and identify potentially disruptive technology that displaces the mainstream technology (termed "alternative disruption") by modeling it as a process in which alternative technologies compete against incumbent technology. Accordingly, we propose a systematic framework to identify this type of technological disruptors by quantitatively characterizing its disruptive process and effects. To illustrate the alternative features, uniquely, the framework is solutions focused that answer the same technological problem as the mainstream one in which subject-action-object semantic analysis and community detection algorithm are used to mine and cluster the found solutions into groups as candidate technologies, including mainstream technologies and potentially alternative ones. Incorporating disruptive characteristics of technological advance, technology applicability, and market niche, the alternative one with a highest comprehensively competitive position against mainstream technologies remains as the most disruptive potential. Finally, the case of cancer treatments verifies the feasibility and effectiveness of this framework. Also, this proposed framework can provide quantitative information for decision making in promising technologies deployment and resource allocation.

关键词:

text mining disruptive technology technological alternatives subject-action-object (SAO) semantic analysis Competitiveness measurement

作者机构:

  • [ 1 ] [Qiao, Yali]Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China
  • [ 2 ] [Wang, Xuefeng]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
  • [ 3 ] [Huang, Ying]Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China
  • [ 4 ] [Huang, Ying]Katholieke Univ Leuven, Ctr R&D Monitoring ECOOM, Dept MSI, B-3000 Leuven, Belgium
  • [ 5 ] [Zhang, Shuo]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Xuemei]Chinese Acad Med Sci, Inst Med Informat, Beijing 100021, Peoples R China

通讯作者信息:

  • [Qiao, Yali]Tsinghua Univ, Sch Publ Policy & Management, Beijing 100084, Peoples R China;;[Wang, Xuefeng]Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China;;

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来源 :

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

ISSN: 0018-9391

年份: 2024

卷: 71

页码: 5921-5938

5 . 8 0 0

JCR@2022

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SCOPUS被引频次: 3

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