Line item budgeting is a widely used managerial control device in governmental and nonprofit organizations. In this study, we explicitly model the relationship between input quantities and their prices with particular focus on the line item budgeting assumption of input separability, i.e.,...

Recent revelations by several high profile instances of fraudulent financial reporting provided the motivation for this paper. This case highlights the weaknesses of the accrual-deferral basis of accounting which provides the theoretical foundations for both the U.S. Generally Accepted...

This paper reports the results of a survey and focus group designed to explores alternative mentoring approaches and its benefits for both mentors and mentees. It was motivated by the experience of the first author who had been quot;significantly influenced and affected by informal mentoring...

Linearity and separability assumptions are pervasive in most not-for-profit governance and performance measurement systems. In this paper, we employ both parametric and nonparametric econometric methodologies to test the linearity and separability assumptions using data collected from the...

This is the first published study, to our best best knowledge, to look at the junk IPOs in a systematic manner using a quasi-experimental design. The study abandons the notion of homogeneous market for IPOs, and instead focuses on the differential demand for information across identifiable...

This paper presents evidence suggesting that artificial neural networks approach (ANNs) outperform traditional statistical methods and can forecast equity premiums reasonably well. The study replicates out-of-sample estimates of regression using ANN with economic fundamentals as inputs. The...

This paper predates the Sarbanes-Oxley Act of 2002 (Section 704: Study of Enforcement Actions) by six years. We used seven red flags which are composed of four financial red flags and three non-financial turnover red flags in order to predict the targets of the SEC's investigation of fraudulent...