Revealing industry challenge and business response to covid-19: A text mining approach
International Journal of Contemporary Hospitality Management
; 33(4):1230-1248, 2021.
Artigo
em Inglês
| APA PsycInfo | ID: covidwho-2287558
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. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
Texto completo:
Disponível
Coleções:
Bases de dados de organismos internacionais
Base de dados:
APA PsycInfo
Idioma:
Inglês
Revista:
International Journal of Contemporary Hospitality Management
Ano de publicação:
2021
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS