The application of text mining methods in innovation research : current state, evolution patterns, and development priorities

Antons, David; Salge, Torsten-Oliver; Cichy, Patrick; Grünwald, Eduard

doi:SCOPUS:2-s2.0-85083650668

The application of text mining methods in innovation research : current state, evolution patterns, and development priorities

Antons, David (Corresponding author)^RWTH* ; Grünwald, Eduard (Corresponding author)^RWTH* ; Cichy, Patrick (Corresponding author)^RWTH* ; Salge, Torsten-Oliver (Corresponding author)^RWTH*

In
Special Issue: Innovation Management Research Methods / Issue Edited by: Paavo Ritala, Sabrina Schneider, Snejina Michailova

In
R & D management 50(3), Seiten/Artikel-Nr.:329-351

2020

ImpressumOxford : Wiley-Blackwell

ISSN1467-9310

Online
DOI: 10.18154/RWTH-2020-04895
DOI: 10.1111/radm.12408
10.1111/radm.12408
URL: http://publications.rwth-aachen.de/record/788955/files/788955.pdf

Einrichtungen

Lehrstuhl für Innovation, Strategie und Organisation (816410)

Thematische Einordnung (Klassifikation)
DDC: 650

OpenAccess:
PDF

Dokumenttyp
Journal Article/Contribution to a book

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85083650668
WOS Core Collection: WOS:000527273000001

Interne Identnummern
RWTH-2020-04895
Datensatz-ID: 788955

Beteiligte Länder
Germany

;

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