70 resultados para knowledge management, enterprise resource planning systems, public sector, Delphi method, history


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The management of public sector risk is increasingly seen as a priority area of UK government policy. This has been highlighted recently by the Prime Minister Gordon Brown who stated that “the issue of public risk is one of the most challenging areas of policy-making for any government” (Strategic Risk, 2008). In response to these challenges, the UK Prime Minister has appointed a new body - the Risk and Regulation Advisory Council (RRAC) which is tasked with improving the way risk to the public is understood and managed. One area of particular concern with regard to the governance of public sector risks involves projects procured via the Private Finance Initiative (PFI). These projects involve long-term contracts, complex multi-party interactions and thus create various risks to public sector clients. Today, most PFI actors acknowledge the potentially adverse effects of these risks and make an effort to prevent or mitigate undesirable results. As a consequence, issues of risk allocation, risk transfer and risk management have become central to the PFI procurement process. This paper provides an overview of the risk categories and risk types which are relevant to the public sector in PFI projects. It analyses risk as a feature of uncertain future project-related events and examines potential pitfalls which can be associated with PFI risk management on the basis of a case study of a high-profile PFI hospital in Scotland. The paper concludes that, despite the trend towards diminished risk profiles during the operational phase, the public sector continues to be exposed to significant risks when engaging in PFI-based procurement.

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Despite an abundance of studies on hybridization and hybrid forms of organizing, scholarly work has failed to distinguish consistently between specific types of hybridity. As a consequence, the analytical category has become blurred and lacks conceptual clarity. Our paper discusses hybridity as the simultaneous appearance of institutional logics in organizational contexts, and differentiates the parallel co-existence of logics from transitional combinations (eventually leading to the replacement of a logic) and more robust combinations in the form of layering and blending. While blending refers to hybridity as an ‘amalgamate’ with original components that are no longer discernible, the notion of layering conceptualizes hybridity in a way that the various elements, or clusters thereof, are added on top of, or alongside, each other, similar to sediment layers in geology. We illustrate and substantiate such conceptual differentiation with an empirical study of the dynamics of public sector reform. In more detail, we examine the parliamentary discourse around two major reforms of the Austrian Federal Budget Law in 1986 and in 2007/2009 in order to trace administrative (reform) paradigms. Each of the three identified paradigms manifests a specific field-level logic with implications for the state and its administration: bureaucracy in Weberian-style Public Administration, market-capitalism in New Public Management, and democracy in New Public Governance. We find no indication of a parallel co-existence or transitional combination of logics, but hybridity in the form of robust combinations. We explore how new ideas fundamentally build on – and are made resonant with – the central bureaucratic logic in a way that suggests layering rather than blending. The conceptual findings presented in our article have implications for the literature on institutional analysis and institutional hybridity.

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What-if Simulations have been identified as one solution for business performance related decision support. Such support is especially useful in cases where it can be automatically generated out of Business Process Management (BPM) Environments from the existing business process models and performance parameters monitored from the executed business process instances. Currently, some of the available BPM Environments offer basic-level performance prediction capabilities. However, these functionalities are normally too limited to be generally useful for performance related decision support at business process level. In this paper, an approach is presented which allows the non-intrusive integration of sophisticated tooling for what-if simulations, analytic performance prediction tools process optimizations or a combination Of Such solutions into already existing BPM environments. The approach abstracts from process modelling techniques which enable automatic decision support spanning processes across numerous BPM Environments. For instance, this enables end-to-end decision support for composite processes modelled with the Business Process Modelling Notation (BPMN) on top of existing Enterprise Resource Planning (ERP) processes modelled with proprietary languages.