What's the problem? : how crowdsourcing and text-mining may contribute to the understanding of unprecedented problems such as COVID-19
Julian Wahl, Johann Füller and Katja Hutter
| Year of publication: |
2022
|
|---|---|
| Authors: | Wahl, Julian ; Füller, Johann ; Hutter, Katja |
| Published in: |
R & D management. - Oxford : Wiley-Blackwell, ISSN 1467-9310, ZDB-ID 2016955-3. - Vol. 52.2022, 2, p. 427-446
|
| Subject: | Crowdsourcing | Text | Coronavirus | Tourismuswirtschaft | Tourism industry | Wirkungsanalyse | Impact assessment |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/radm.12526 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013163149