Yang, Mu and Han, Chunjia (2021) Revealing industry challenge and business response to Covid-19: a text mining approach. International Journal of Contemporary Hospitality Management 33 (4), pp. 1230-1248. ISSN 0959-6119.
Abstract
Purpose: This study aims to conduct a “real-time” investigation with user-generated content on Twitter to reveal industry challenges and business responses to the coronavirus (Covid-19) pandemic. Specifically, using the hospitality industry as an example, the study analyses how Covid-19 has impacted the industry, what are the challenges and how the industry has responded. Design/methodology/approach: With 94,340 tweets collected between October 2019 and May 2020 by a programmed Web scraper, unsupervised machine learning approaches such as structural topic modelling are applied. Originality/value: This study contributes to the literature on business response during crises providing for the first time a study of using unstructured content on social media for industry-level analysis in the hospitality context.
Metadata
| Item Type: | Article |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Depositing User: | Chunjia Han |
| Date Deposited: | 20 Jun 2022 12:49 |
| Last Modified: | 02 Aug 2023 18:15 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/47583 |
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