Skip to main navigation Skip to search Skip to main content

Tourism companies' risk exposures on text disclosure

  • Jianping Li
  • , Yuyao Feng
  • , Guowen Li
  • , Xiaolei Sun*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number102986
JournalAnnals of Tourism Research
Volume84
DOIs
StatePublished - Sep 2020
Externally publishedYes

Keywords

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

Fingerprint

Dive into the research topics of 'Tourism companies' risk exposures on text disclosure'. Together they form a unique fingerprint.

Cite this