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

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.

Citation

Yang, M. and Han, C. (2021), "Revealing industry challenge and business response to Covid-19: a text mining approach", International Journal of Contemporary Hospitality Management, Vol. 33 No. 4, pp. 1230-1248. https://doi.org/10.1108/IJCHM-08-2020-0920