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Exploration of Interdisciplinary Fusion and Interorganizational Collaboration With the Advancement of AI Research: A Case Study on Natural Language Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AB8YG67HV" target="_blank" >RIV/00216208:11320/23:B8YG67HV - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/abstract/document/10304405/" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10304405/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/tem.2023.3327209" target="_blank" >10.1109/tem.2023.3327209</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploration of Interdisciplinary Fusion and Interorganizational Collaboration With the Advancement of AI Research: A Case Study on Natural Language Processing

  • Original language description

    "Network analysis is increasingly being used as a decision-making support tool for science and technology policy and technology management through the understanding of the trends and structure of innovation activities and the prediction of their changes. Since convergence and diversity are generally regarded as opportunities for groundbreaking innovation, analysis of interdisciplinary fusion and interorganizational collaboration using network analysis is expected to provide useful suggestions for policy formation and technology management."

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    "IEEE Transactions on Engineering Management"

  • ISSN

    0018-9391

  • e-ISSN

  • Volume of the periodical

    ""

  • Issue of the periodical within the volume

    2023

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

  • EID of the result in the Scopus database