000 02597nam a2200421Ii 4500
001 9781787430853
003 UtOrBLW
005 20210303084812.0
006 m o d
007 cr un|||||||||
008 191018t20192019enk o 000 0 eng d
020 _a9781787430853 (e-book)
040 _aUtOrBLW
_beng
_erda
_cUtOrBLW
050 4 _aHG173
_b.R88 2019
072 7 _aKFC
_2bicssc
072 7 _aBUS001000
_2bisacsh
080 _a332
082 0 4 _a332
_223
245 0 0 _aRutgers studies in accounting analytics :
_baudit analytics in the financial industry /
_cedited by Jun Dai, Miklos A. Vasarhelyi, and Ann F. Medinets.
264 1 _bEmerald Publishing Limited,
300 _a1 online resource (x, 235 pages) ;
_ccm.
490 1 _aRutgers studies in accounting analytics
520 _aIn Audit Analytics in the Financial Industry, editors Jun Dai, Miklos A. Vasarhelyi and Ann F. Medinets bring together a cast of expert contributors to explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry.Separated into six parts, the contributors take a variety of approaches to this exploration. In Part One, the contributors present two articles illustrating the process of applying Audit Analytics to solving audit problems. Part Two contains four studies that use various Audit Analytics techniques to discover fraud risks and potential frauds in the credit card sector. In Part Three, the chapter focus on the insurance sector and show the application of clustering techniques in auditing. Part Four includes two chapters on how to employ Audit Analytics in the transitory system for fraud/anomaly detection. Finally, Parts Five and Six illustrate the use of Audit Analytics to assess risk in the lawsuit and payment processes. For students, researchers, and professionals in the accounting sector, this is an unmissable read exploring the latest research in Audit Analytics.
650 0 _aFinancial services industry
_xAuditing.
650 0 _aAccounting.
650 7 _aBusiness & Economics
_xAccounting
_xGeneral.
_2bisacsh
650 7 _aAccounting.
_2bicssc
700 1 _aDai, Jun,
_eeditor.
700 1 _aVasarhelyi, Miklos A.,
_eeditor.
700 1 _aMedinets, Ann F.,
_eeditor.
776 _z9781787430860
830 0 _aRutgers studies in accounting analytics.
856 4 0 _uhttps://www.emerald.com/insight/publication/doi/10.1108/9781787430853
999 _c29615
_d29615