Johan L. Perols

发表

Finding Needles in a Haystack: Using Data Analytics to Improve Fraud Prediction

Carsten Zimmermann, Johan L. Perols, Robert M. Bowen, 2015 .

Information Technology Continuance: A Theoretic Extension and Empirical Test

Anol Bhattacherjee, Clive Sanford, Johan L. Perols, 2008, J. Comput. Inf. Syst..

Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms

Johan L. Perols, 2011 .

Information Market Based Decision Fusion

Manish Agrawal, Kaushal Chari, Johan L. Perols, 2009, ICIS.

Information fusion in continuous assurance

Uday S. Murthy, Johan L. Perols, 2012, ECIS.

Reducing uncertainty in supplier selection decisions: Antecedents and outcomes of procedural rationality

Johan L. Perols, Dominik F. Riedl, Lutz Kaufmann, 2013 .

Detecting financial statement fraud: three essays on fraud predictors, multi-classifier combination and fraud detection using data mining

Jacqueline L. Reck, Johan L. Perols, K. Chari, 2008 .

The relation between earnings management and financial statement fraud

Johan L. Perols, Barbara A. Lougee, 2011 .

- 1-Information Market Based Decision Fusion 1

Johan L. Perols, K. Chari, M. Agrawal, 2007 .

On the relationship between supplier integration and time-to-market

Johan L. Perols, S. Kortmann, Carsten Zimmermann, 2013 .

The Theoretical Case of Agile Ambidexterity

Johan L. Perols, S. Kortmann, Carsten Zimmermann, 2023, Open Journal of Business and Management.

Earnings management strategies to maintain a string of meeting or beating analyst expectations

Johan L. Perols, Thomas Joseph Smith, Dahlia Robinson, 2018, Advances in Accounting.