Citation

Li J, Feng Y, Li G, Sun X. Ann. Tour. Res. 2020; 84: 102986.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.annals.2020.102986

PMID

32834224 PMCID

Abstract

Tourism is a risk-prone industry. But most studies focus on tourist risk perception while ignoring company risk exposure. As service providers, the companies play an important role in tourism activities, and systematically identifying the risks they face is vital to the development of the tourism industry. This paper attempts to identify tourism companies' risk exposures based on textual risk disclosure of financial statements. Using 51,008 risk headings of 255 public companies, we adopt Sentence-Latent Dirichlet Allocation (Sent-LDA) method to discover 30 risk exposures of the tourism industry. Further, we discuss the universality and industry representativeness of these risk exposures, as well as risk differences between different sub-industries and years.

FINDINGS can help stakeholders develop reasonable and timely risk management strategies.

Language: en

Keywords

Text mining; Company risk exposure; Form 10-K; Risk identification; Tourism risk