Patton et al. (1983) list a range of factors that might be used to measure the
relative riskiness of audit units: quality of the internal control system, competence
of management, time since last audit, liquidity of assets, complexity of transactions,
distance from main office, changes in accounting systems, unit size, and level of
employee morale. An effective optimizing model would incorporate some or all of
these factors in estimating the losses that accrue in the absence of auditing. It is
noteworthy that prior research has not attempted to incorporate actual risk data,
probably due to access and measurement difficulties. Rather, in applying the models
variations in risk have been calibrated for hypothetical audit units.
Patton et al. (1983) list a range of factors that might be used to measure the
relative riskiness of audit units: quality of the internal control system, competence
of management, time since last audit, liquidity of assets, complexity of transactions,
distance from main office, changes in accounting systems, unit size, and level of
employee morale. An effective optimizing model would incorporate some or all of
these factors in estimating the losses that accrue in the absence of auditing. It is
noteworthy that prior research has not attempted to incorporate actual risk data,
probably due to access and measurement difficulties. Rather, in applying the models
variations in risk have been calibrated for hypothetical audit units.
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