Advanced management accounting techniques were developed to provide information appropriate for decision making in changing internal and external environments. However, studies in the US and UK demonstrated that firms are slow to adopt such techniques. To examine whether and why this reluctance exists, manufacturers' adoption and utilization of advanced accounting techniques, plus perceived barriers to adoption, were examined. Data were collected from 165 New Zealand manufacturing sites, selected as representative of organizations facing major structural reform and environmental change, hence likely candidates for accounting system rejuvenation. Adoption, utilization, combinations of techniques, trends, perceived benefits, and barriers to adoption are discussed.

As set forth in SFAC

<p class="MsoBodyText" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in;"><span style="color: black; font-size: 10pt;"><span style="font-family: Times New Roman;">Prior studies (e.g., Greenburg et al., 1986; Murdoch and Krause, 1989) provide evidence that earnings outperforms historical cash flows in predicting future cash flows. Later research (e.g., Barth et al., 2001) demonstrates that the major accrual components of earnings each possess significant explanatory power in predicting future cash flows and that they augment, rather than replace, the predictive ability of aggregate earnings.<span style="mso-spacerun: yes;">&nbsp; </span>The current study furthers this work by examining the predictive power of another major component of earnings, i.e., sales.<span style="mso-spacerun: yes;">&nbsp; </span>Using share price as the dependent variable and as a proxy for future cash flows, this study compares the predictive abilities of changes in operating cash flows, earnings, and sales.<span style="mso-spacerun: yes;">&nbsp; </span>Similar to the findings in prior research, earnings predicts better than operating cash flows.<span style="mso-spacerun: yes;">&nbsp; </span>More importantly, however, sales predicts with greater accuracy than either operating cash flows or earnings.</span></span></p>

<p class="MsoBodyText" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in; mso-pagination: none;"><span style="font-size: 10pt;" lang="EN-AU"><span style="font-family: Times New Roman;">Bank failure prediction remains an important economic issue.<span style="mso-spacerun: yes;">&nbsp; </span>Although prior research investigates bank failure prediction, the opportunity to improve predictions exists.<span style="mso-spacerun: yes;">&nbsp; </span>The purpose of this present study is to investigate the possibility of improving prediction of bank failure by including loan default variables and regional variation in prediction of bank failure. The results of statistical analysis indicate loan default measures contain information content both in their own right and also incrementally above that of traditional CAMEL measures.<span style="mso-spacerun: yes;">&nbsp; </span>Furthermore, statistical analysis utilizing logit regression shows the superiority of bank failure prediction models that include consideration of geographic region.<span style="mso-spacerun: yes;">&nbsp; </span></span></span></p>

Prior studies have attempted to confirm or reject the FASB's assertion in its Conceptual Framework that accrual accounting measures provide better information for predicting cash flows than do cash basis measures.&nbsp; However, their results proved largely inconclusive and contradictory.&nbsp; The current study identifies research constructs that may be driven these inconsistent findings and makes adjustments to mitigate their effects.&nbsp; Univariate cash flow prediction models are developed for companies in the petroleum industry using a continuum of predictor variables.&nbsp; In predicting operating cash flows, one variable, net earnings plus depreciation and amortization, consistently achieves superior results.