Data‐driven auditing: A predictive modeling approach to fraud detection and classification

• Author: Markus Vejvar,Kee‐hung Lai,Nitin Singh,T. C. Edwin Cheng
• Published date: 01 October 2019
• DOI: http://doi.org/10.1002/jcaf.22411
• Date: 01 October 2019

ERRATUM

Data-driven auditing: A predictive modeling approach to fraud

detection and classification

Nitin Singh

1

| Kee-hung Lai

2

| Markus Vejvar

2

| T. C. Edwin Cheng

2

1

Department of Operations Management, India Institute of Management Kashipur, India

2

Department of Logistics and Maritime Studies, Faculty of Business, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Correspondence

Kee-hung Lai, Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, People's Republic of China.

Email: mike.lai@polyu.edu.hk

J Corp Acct Fin. 2019;30:64-82.

DOI: 10.1002/jcaf.22389

In the above-mentioned article, the author biography for Nitin Singh should read “Nitin Singh is Associate Professor of Oper-

ations Management & Decision Sciences at IIM Kashipur, India.”We apologize for this error.

DOI: 10.1002/jcaf.22411

J Corp Acct Fin. 2019;30:121. wileyonlinelibrary.com/journal/jcaf © 2019 Wiley Periodicals, Inc. 121