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Revealing industry challenge and business response to Covid-19: a text mining approach

Yang, M., Han, C. (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. (doi:10.1108/IJCHM-08-2020-0920) (KAR id:89572)


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. © 2020, Emerald Publishing Limited.

Item Type: Article
DOI/Identification number: 10.1108/IJCHM-08-2020-0920
Uncontrolled keywords: Social Media; hospitality Industry; user-generated content; Covid 19; Topic Modelling; Business Challenge;
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Mu Yang
Date Deposited: 03 Aug 2021 08:58 UTC
Last Modified: 04 Mar 2024 17:43 UTC
Resource URI: (The current URI for this page, for reference purposes)

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