AUDITING IN THE INFORMATION AGE:
A PROPOSED INTELLIGENT SYSTEM

Frank A. Buckless, Julia B. Earp, and Laura R. Ingraham

ABSTRACT

New audit methodologies are needed to more closely align with today's information age and the ongoing changes in business organizations. To effectively assess an organization's ability to create value and generate cash flows, the auditor needs a comprehensive understanding of the organization's value chain and its ability to create and sustain a competitive advantage (Porter, 1980; KPMG, 1997). Accounting firms, recognizing the importance of a value-added approach for the services they deliver, have broadened the focus of their audit methodology to that of all risks to a business, rather than just the accounting records and resultant financial statements. Thus, audits now examine the ability of a company's process to consider significant existing risks as well as emerging risks, the impact of which is still uncertain. This new audit focus suggests a need for the investigation and development of new tools to help with risk assessment. This research responds to that need by proposing the development of an intelligent system utilizing fuzzy logic that can help automate the risk assessment component of auditing. New audit methodologies are needed to more closely align with today's information age and the ongoing changes in business organizations. To effectively assess an organization's ability to create value and generate cash flows, the auditor needs a comprehensive understanding of the organization's value chain and its ability to create and sustain a competitive advantage (Porter, 1980; KPMG, 1997). Accounting firms, recognizing the importance of a value-added approach for the services they deliver, have broadened the focus of their audit methodology to that of all risks to a business, rather than just the accounting records and resultant financial statements. Thus, audits now examine the ability of a company's process to consider significant existing risks as well as emerging risks, the impact of which is still uncertain. This new audit focus suggests a need for the investigation and development of new tools to help with risk assessment. This research responds to that need by proposing the development of an intelligent system utilizing fuzzy logic that can help automate the risk assessment component of auditing.

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