Audit fees, non-audit fees and auditor going-concern reporting decisions in the United Kingdom

The accounting profession has come under increased scrutiny over recent years about the growing number of non-audit fees received from audit clients and the possible negative impact of such fees on auditor independence. The argument advanced is that providing substantial amounts of non-audit services to clients may make it more likely that auditors concede to the wishes of the client management when difficult judgments are made. Such concerns are particularly salient in the case of reporting decisions related to going-concern uncertainties for financially stressed clients. This study empirically examines audit reports provided to financially stressed companies in the United Kingdom and the magnitude of audit and non-audit service fees paid to the company’s auditors. We find that the magnitude of both audit fees and non-audit fees are significantly associated with the issuance of a going-concern modified audit opinion. In particular, financially stressed companies with high audit fees are more likely to receive a going-concern modified audit opinion, whereas companies with high non-audit fees are less likely to receive a goingconcern modified audit opinion. Additional analyses indicate that the results are generally robust across alternative model and variable specifications. Overall, evidence supports the contention that high non-audit fees have a detrimental effect on going-concern reporting judgments for financially stressed U.K. companies.

Modelling and improving maintenance decisions:Having foresight with simulation and artificial intelligence

Machine breakdowns are one of the main sources of disruption and throughput fluctuation in highly automated production facilities. One element in reducing this disruption is ensuring that the maintenance team responds correctly to machine failures. It is, however, difficult to determine the current practice employed by the maintenance team, let alone suggest improvements to it. 'Knowledge based improvement' is a methodology that aims to address this issue, by (a) eliciting knowledge on current practice, (b) evaluating that practice and (c) looking for improvements. The methodology, based on visual interactive simulation and artificial intelligence methods, and its application to a Ford engine assembly facility are described. Copyright © 2002 Society of Automotive Engineers, Inc.

Modelling the relationship between local logistics management decisions and overall supply chain performance:A research agenda

Supply chains are advocated widely as being the new units for commercial competition and developments have made the sharing of supply chain wide information increasingly common. Most organisations however still make operational decisions intended to maximise local organisational performance. With improved information sharing a holistic focus for operational decisions should now be possible. The development of a pan supply chain performance framework requires an examination of the conditions under which holistic-decisions provide benefits to either the individual enterprise or the complete supply chain. This paper presents the background and supporting methodology for a study of the impact of an overall supply chain performance metric framework upon local logistics decisions and the conditions under which such a framework would improve overall supply chain performance. The methodology concludes a simulation approach using a functionally extended Gensym's e-SCOR model, together with case based triangulation, to be optimum. Copyright © 2007 Inderscience Enterprises Ltd.

Evaluating approaches to product design and sourcing decisions in multinational companies

Product design and sourcing decisions are among the most difficult and important of all decisions facing multinational manufacturing companies, yet associated decision support and evaluation systems tend to be myopic in nature. Design for manufacture and assembly techniques, for example, generally focuses on manufacturing capability and ignores capacity although both should be considered. Similarly, most modelling and evaluation tools available to examine the performance of various solution and improvement techniques have a narrower scope than desired. A unique collaboration, funded by the US National Science Foundation, between researchers in the USA and the UK currently addresses these problems. This paper describes a technique known as Design For the Existing Environment (DFEE) and an holistic evaluation system based on enterprise simulation that was used to demonstrate the business benefits of DFEE applied in a simple product development and manufacturing case study. A project that will extend these techniques to evaluate global product sourcing strategies is described along with the practical difficulties of building an enterprise simulation on the scale and detail required.