Estruturas de capitais

Dissertação de Mestrado apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de Doutora Alcina Augusta Sena Portugal Dias

Intellectual Capital and Performance in Higher Education Organizations

This paper intends to explore the relative importance of different Intellectual Capital (IC) dimensions regarding their contribution to the perceived performance of an Higher Education Organization (HEO). It also seeks to discuss the role of IC and performance measurement in these organizations. This is done through a case study conducted in a Portuguese HEO. The particularities of this type of organization turns it into a very interesting empirical ground for IC research. Evidence suggests that although human, structural and relational capital should contribute as a “whole” to the performance of an HEO, human resources have an added importance as source of knowledge. Results also suggest an ‘overlap’ between IC and performance indicators. Despite the validity of the interpretations provided in the context of the case study, generalization to other situations should only be conducted in a theoretically framed manner. This paper contributes to the development of IC research in a specific type of organization: an HEO. This empirical context is still underexplored, namely regarding the relationship between IC and performance. This study provides important managerial implications for HEOs and their members, who are concerned with its performance and competitiveness.

An improved preemption delay upper bound for floating non-preemptive region

In embedded systems, the timing behaviour of the control mechanisms are sometimes of critical importance for the operational safety. These high criticality systems require strict compliance with the offline predicted task execution time. The execution of a task when subject to preemption may vary significantly in comparison to its non-preemptive execution. Hence, when preemptive scheduling is required to operate the workload, preemption delay estimation is of paramount importance. In this paper a preemption delay estimation method for floating non-preemptive scheduling policies is presented. This work builds on [1], extending the model and optimising it considerably. The preemption delay function is subject to a major tightness improvement, considering the WCET analysis context. Moreover more information is provided as well in the form of an extrinsic cache misses function, which enables the method to provide a solution in situations where the non-preemptive regions sizes are small. Finally experimental results from the implementation of the proposed solutions in Heptane are provided for real benchmarks which validate the significance of this work.