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
Additional Information:	‘Publisher: Emerald Publishing Limited Copyright © 2021, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher’
Uncontrolled Keywords:	Covid-19; business challenge; hospitality industry; topic modelling; social media; user-generated content
Subjects:	H Social Sciences > H Social Sciences (General)
Faculty / School / Research Centre / 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:	07 Jul 2022 14:18
URI:	http://gala.gre.ac.uk/id/eprint/30512

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