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

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

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 (doi:https://doi.org/10.1108/IJCHM-08-2020-0920)

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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 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.

Findings
The results show that: (1) despite the adverse consequences from the pandemic, the hospitality industry has shown increasing interests in finding ways to survive, such as looking into novel technologies and adopting new business strategies; (2) the pandemic has created an opportunity for organisations to jump out from their daily business operations and rethink about the future development of the industry; (3) the Covid-19 impact is not only shown on the reduction in the job demand but also a change in the demand structure of the job market; (4) the use of novel text mining approaches on unstructured social media data is effective in identifying industry-level challenge and response to public emergencies.

Originality
This study contributes to the literature on business response during crises providing for the first time a study of utilising unstructured content on social media for industry- level analysis in the hospitality context.

Item Type: Article
Uncontrolled Keywords: Covid-19, business challenge, hospitality industry, topic modelling, social media, user-generated content
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of Systems Management & Strategy
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified: 26 Jul 2021 12:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/30512

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