
Abstract Classic rule-based systems appeared to have enormous potential for accounting and auditing problems. Unfortunately, there has been limited adoption of those systems. Why have those systems not lived up to their promise? This paper pursues one potential explanation. Typically, expert systems require that the user provides it with environmental assessments. Unfortunately, those assessments vary based on who is making the assessment. This paper finds that a group of partners and managers, when compared to a group of staff, each generated different environmental assessments to the same situation. However, in a rule-based system, different assessments can lead the user to different recommendations. As a result, different users in the same situations can generate different solutions from the same system. Accordingly, the quality of the recommendations from an expert systems are not “user neutral.”.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
