Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework.
| Publicado en: | Journal of Business Ethics Vol. 186; no. 1; pp. 137 - 159 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Aug2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=166104786&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 166104786 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 01674544 BET jtl: Journal of Business Ethics issn: 01674544 maglogo: N pubinfo: dt: Aug2023 vid: 186 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 166104786 10.1007/s10551-022-05120-2 ppf: 137 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 729KB tig: atl: Using Machine Learning to Predict Corporate Fraud: Evidence Based on the GONE Framework. aug: au: Xu, Xin Xiong, Feng An, Zhe affil: Department of Accounting, School of Management, Xiamen University, Siming South Rd. 422, 361005, Xiamen, Fujian Province, China Center for Accounting Studies of Xiamen University, Department of Accounting, School of Management, Xiamen University, Siming South Rd. 422, 361005, Xiamen, Fujian Province, China Department of Banking and Finance, Monash Business School, Monash University, 3800, Melbourne, VIC, Australia pubtype: Academic Journal doctype: Article src: R ab: language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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