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Major financial lease contracts are commonly written on a variable interest rate basis. The conditions of this sort of lease include an interest rate variation clause which provides for adjustments to be made to the rentals when interest rates change. Such adjustments are usually made periodically by applying the change in the interest rate (from the rate at the beginning of the lease) to the amount of the lessor's investment in the lease.

The evaluation of the after tax cost of leasing is rather complex and financial operators often fail to emphasise the cost/benefit balance. We propose an analytical formula for the direct calculation of the true cost of leasing which does not involve the study of cash flows. Our discussion concerns the situation that we know best, the Italian case, which can easily be used more generally.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This issue is a selected bibliography covering the subject of leadership.

In recent years, increasing scholarly attention has been directed towards the field of governing bodies research. However, little attention has been paid to the behavioural perspective on studying public boards. Aiming to fulfil this gap this paper offers a review of the international literature addressing boards behaviour within the unique organizational setting of public sector.

Considering as behavioural studies those publications focusing on actors, processes, decision-making, relationships and interaction inside and outside the boardroom, 91 papers were analysed. Adopting the framework provided by Huse (2007), the papers are classified following four behavioural dimensions/blocks which are crucial to understand board dynamics: board members, interactions, structures and leadership, decision-making culture.

The literature review shows the increasing production – in the last years – on the theoretical issues related to the behavioural perspective in public governance literature. The most relevant part of these contributions addresses the theoretical dimensions of the board member’s characteristics and of structural leadership.

The manuscript reveals the need to adopt a more organizational approach for studying the behavioural categories and levels of analysis proposed by public governance literature. Moreover, the article evidences some possible directions for future research that might further contribute to enrich the ‘behavioural governance perspective’ in public organizations.