15 research outputs found

    Multi-criteria ranking of corporate distress prediction models: empirical evaluation and methodological contributions

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    YesAlthough many modelling and prediction frameworks for corporate bankruptcy and distress have been proposed, the relative performance evaluation of prediction models is criticised due to the assessment exercise using a single measure of one criterion at a time, which leads to reporting conflicting results. Mousavi et al. (Int Rev Financ Anal 42:64–75, 2015) proposed an orientation-free super-efficiency DEA-based framework to overcome this methodological issue. However, within a super-efficiency DEA framework, the reference benchmark changes from one prediction model evaluation to another, which in some contexts might be viewed as “unfair” benchmarking. In this paper, we overcome this issue by proposing a slacks-based context-dependent DEA (SBM-CDEA) framework to evaluate competing distress prediction models. In addition, we propose a hybrid crossbenchmarking- cross-efficiency framework as an alternative methodology for ranking DMUs that are heterogeneous. Furthermore, using data on UK firms listed on London Stock Exchange, we perform a comprehensive comparative analysis of the most popular corporate distress prediction models; namely, statistical models, under both mono criterion and multiple criteria frameworks considering several performance measures. Also, we propose new statistical models using macroeconomic indicators as drivers of distress

    Strategic choices and strategic management accounting in large manufacturing firms

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    This study examines the relationship between strategic choices and the use of strategic management accounting (SMA) techniques in large manufacturing companies and investigates whether external factors such as environmental uncertainty and competitive forces affect the SMA system. The survey results show that SMA usage does not depend on strategy type and only marginally depends on geographic orientation. These findings have been integrated using qualitative data collected in seven large companies through interviews. Although significant progress has been made over the last two decades in describing SMA practices in Europe, the contribution of this study to the accounting (SMA) literature involves both the research content and design. Having identified gaps in previous SMA research, we design a study focused on large manufacturing firms that considers different hypotheses and adopts a mixed method approach
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