How Auditors Or Accountants Can Detect And Prevent Payroll Fraud Through An Expert System
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How Auditors Or Accountants Can Detect and Prevent Payroll Fraud Through an Expert System
The book is written with the objective of automating the audit decision in detecting variations or exceptional data between the current and preceding month in payroll processing, using an Expert System. Expert systems are in the category of Artificial Intelligence (AI) application. They are now in the class of electronic spreadsheets and are commercially available and affordable having been in existence since the 1970s. The necessary steps to the development of an expert system have been covered. The payroll audit decision expert system is therefore highly commended to Auditors or Accountants seeking to detect and prevent Payroll fraud through an Expert System.
Payroll Fraud Detection and Prevention Audit Expert System
The book is written with the objective of automating the audit decision in detecting variations or exceptional data between the current and preceding or penultimate month in payroll processing, using an Expert System. The book begins in Chapter one with an introduction. Chapter two is a review of the expert system theory and empirical literature on its use in business applications while Chapter three presents the methodology of research. Chapter Four dwells on the design and development of the expert system software for payroll audit. Finally, Chapter Five concludes with a summary and recommendations. The payroll audit decision expert system is therefore highly commended to end-users such as internal or external auditors, accountants, fraud examiners, risk consultants and enthusiastic readers seeking to detect and prevent Payroll fraud through an Expert System. The book is also written for the consumption of interested Expert System researchers.
Audit Effectiveness
In Audit Effectiveness, Dr Kamil Omoteso examines how information technology is changing the landscape for the audit profession as IT tools and techniques continue to be developed for auditors in the pursuit of quality, efficiency and effectiveness. In addition to shedding light on practical subjects such as audit automation, continuous online auditing and computer auditing, this book introduces some theory that helps explain the motivation for the use of new tools and techniques, and assists understanding of their impact on the quality of audit judgment. The book proposes a three-layered model - an integration of contingency, socio-technical systems and structuration theories - for a comprehensive understanding of IT’s impact on audit. The model advocates that the use of IT in audits is a function of certain contingent factors that determine an optimal mix of human skills and technological capabilities, which would lead to changes in the nature of auditors’ roles and outputs and audit organisations’ structures. Dr Omoteso puts forward an audit automation maturity model that can help audit firms/departments to understand their current level of IT integration and how to systematically enhance their capabilities with a view to meeting modern IT challenges - taking them from the position of mere ’followers of technology’ to that of effective ’leaders of technology’. Audit Effectiveness is for anyone practising in auditing or accounting automation, as well as for those with an academic or research interest in the challenges posed by technological advances for auditors in particular, and for managers in general.