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10.1016/j.annals.2020.102986 http://scihub22266oqcxt.onion/10.1016/j.annals.2020.102986 C7324118!7324118!32834224     free     free     free       Ann+Tour+Res 2020 ; 84 (ä): 102986 Nephropedia Template TP {{tp|p=32834224|t=2020. Tourism companies risk exposures on text disclosure |pdf=|usr=}}{{32834224}} gab.com Text Tourism companies risk exposures on text disclosure JO: Ann Tour Res http://www.kidney.de/pget.php?&tw=1&pmid=32834224 #FOAvip 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. Twit Text FOAVip Tourism companies risk exposures on text disclosure ????Ann Tour Res http://www.kidney.de/pget.php?&tw=1&pmid=32834224 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32834224 #FOAvip English Wikipedia <ref>{{Cite pmid|32834224}}</ref> Tourism companies risk exposures on text disclosure #MMPMID32834224 Li J; Feng Y; Li G; Sun X Ann Tour Res 2020[Sep]; 84 (ä): 102986 PMID32834224show ga 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. äTourism companies risk exposures on text disclosure (epmc).pdf DeepDyve Pubget Overpricing