Roots of Responsibilities to Financial Statement Fraud Control

被引:2
|
作者
Mohamed, Norazida [1 ]
Handley-Schachler, Morrison [2 ]
机构
[1] Univ Teknol MARA, Fac Accountancy, Kelantan Campus, Shah Alam, Selangor, Malaysia
[2] Univ Teesside, Middlesbrough, Cleveland, England
关键词
AGENCY;
D O I
10.1016/S2212-5671(15)01080-1
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Financial statement fraud cases also occur when weak internal controls exist. Besides these reasons, the research differentiates between the two major types of financial statement fraud. This research discusses the responsibilities of financial statement fraud control by looking at agency theory, stakeholder theory, public interest theory; capital needs theory and communication theory. This discussion is in tandem with the principal investigation of internal control strategies in relation to financial statement fraud control. The output of this paper provides a comprehensive understanding of responsibilities for financial statement fraud control in the context of the above theories and finally contributes recommendations for improvement in financial statement fraud control in public interest entities. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:46 / 52
页数:7
相关论文
共 50 条
  • [31] State of the art in financial statement fraud detection: A systematic review
    Shahana, T.
    Lavanya, Vilvanathan
    Bhat, Aamir Rashid
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 192
  • [32] Financial statement fraud litigation, material weaknesses, and board characteristics
    Manry, David
    Huang, Hua-Wei
    Yan, Yun-Chia
    ACCOUNTING RESEARCH JOURNAL, 2023, 36 (4/5) : 349 - 368
  • [33] Fraud detection in financial statement: a study using Beneish algorithm
    Sankar, B. P. Bijay
    Bhanawat, Hemant
    INTERNATIONAL JOURNAL OF MANAGERIAL AND FINANCIAL ACCOUNTING, 2024, 16 (04)
  • [34] Financial statement fraud detection through multiple instance learning
    Tang, Lingbing
    Peng, Pin
    Luo, Changqing
    Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2016, (03): : 146 - 155
  • [35] Externalities of Financial Statement Fraud on the Incoming Accounting Labor Force
    Carnes, Robert R.
    Christensen, Dane M.
    Madsen, Paul E.
    JOURNAL OF ACCOUNTING RESEARCH, 2023, 61 (05) : 1531 - 1589
  • [36] The use of machine learning algorithms to predict financial statement fraud
    Lokanan, Mark
    Sharma, Satish
    BRITISH ACCOUNTING REVIEW, 2024, 56 (06):
  • [37] RISK PREFERENCE, DECISION MOOD AND CEO FINANCIAL STATEMENT FRAUD
    Chen, Yan
    Shapeero, Mike
    Kong, Chen
    2016 BAASANA INTERNATIONAL CONFERENCE PROCEEDINGS, 2016, : 165 - 180
  • [38] Financial Statement Audit and Risk of Material Misstatement Formed by Fraud
    Domaracka, Denisa
    Hunyady, Katarina
    MANAGING AND MODELLING OF FINANCIAL RISKS, 8TH INTERNATIONAL SCIENTIFIC CONFERENCE, PTS I & II, 2016, : 166 - 169
  • [39] Increasing the Detection of Minority Class Instances in Financial Statement Fraud
    Moepya, Stephen Obakeng
    Nelwamondo, Fulufhelo V.
    Twala, Bhekisipho
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2017), PT II, 2017, 10192 : 33 - 43
  • [40] A Meta-Learning Approach to Predicting Financial Statement Fraud
    Mckee, Thomas E.
    JOURNAL OF EMERGING TECHNOLOGIES IN ACCOUNTING, 2009, 6 (01) : 5 - 26