Rasha Kassem

University of Northampton

Lecturer in Accounting

Boughton Green Road

Park Campus Northampton Business School

Northampton, Northamptonshire NN2 7AL

United Kingdom

http://www.northampton.ac.uk

Loughborough University

Doctorate Candidate

Ashby Road

Nottingham NG1 4BU

Great Britain

  • University of Northampton

    • Email
    • Tel: +44 (0)1604 893326
    • Fax: +44 (0)1604 893537

  • Loughborough University

SCHOLARLY PAPERS

4

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Top 19,505

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5,036

SSRN CITATIONS

1

CROSSREF CITATIONS

5

Scholarly Papers (4)

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1.

Earnings Management and Financial Reporting Fraud: Can External Auditors Spot the Difference?

American Journal of Business and Management, Vol.1, No. 1, pp. 30-33, 2012
Number of pages: 4 Posted: 01 Aug 2012
Rasha Kassem
University of Northampton
Downloads 2,701 (9,844)

Abstract:

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financial reporting fraud, earnings management, fraud detection, occupational fraud

2.

Fraudulent Financial Reporting: Do Red Flags Really Help?

International Journal of Academic Research: Economics and Engineering, Vol.4, December 2010
Number of pages: 11 Posted: 25 Aug 2014
Rasha Kassem and Mohamed A. Hegazy
University of Northampton and Department of Accounting, The American University in Cairo
Downloads 2,335 (12,399)
Citation 1

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fraud, fraud detection, fraudulent financial reporting, red flags, auditing standards

3.

Financial Reporting Fraud: Are Standards’ Setters and External Auditors Doing Enough?

International Journal of Business and Social Science Vol. 3 No. 19, October 2012
Posted: 23 Oct 2013
Rasha Kassem and Andrew Higson
University of Northampton and Loughborough University

Abstract:

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fraud, fraudulent financial reporting, audit professional standards, audit expectation gap

4.

The New Fraud Triangle Model

Journal of Emerging Trends in Economics and Management Sciences (JETEMS), Vol. 3, No. 3, pp.191-195, (ISSN: 2141-7024), 2012
Posted: 01 Aug 2012
Rasha Kassem and Andrew Higson
University of Northampton and Loughborough University

Abstract:

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fraud, fraud triangle, Cressey’s fraud theory, fraud models, fraud detection