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
—