Predicting corporate innovation using machine learning and social media data
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Technovation
ISSN (print)
0166-4972
ISSN (electronic)
1879-2383
ISSN (linking)
0166-4972
Publisher
Elsevier
Publication forum ID
68123
Publication forum level
3
Publication AJG-level
3
Publication appears in FT-list
No
SNIP-level of the publication
3.15
Country of publication
Netherlands
Internationality
Yes
Detailed publication information
Publication year
2025
Reporting year
2025
Journal/series volume number
148
Article number
103322
DOI
10.1016/j.technovation.2025.103322
Language of publication
English
Co-publication information
International co-publication
No
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
512 Business and management
Keywords
Corporate innovation; Human resource policies; Machine learning; Social media analytics; Textual analysis
Research data information
Research data information in the publication
The authors do not have permission to share data.
Source database ID
Scopus ID
2-s2.0-105012600437