794 resultados para Corruption policière


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By focusing on major Australian overseas aid not-for-profit organisations (NFPOs), this study has found that NFPOs’ public disclosures lack appropriate commentary relating to anti-corruption measures. We found that this could be due to a break down in regulatory oversight caused by a lack of mandatory reporting standards. This finding reinforces the experience of NFPOs in terms of addressing anti-corruption issues. The key lesson is that there is a need for significant improvement in the anti-corruption regulations, hence associated disclosure practices within the NFPOs sector.

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While extant studies have greatly advanced our understanding of corruption, we still know little of the processes through which specific practices or events come to be labeled as corruption. In a time when public attention devoted to corruption and other forms of corporate misbehavior has exploded, this thesis raises – and seeks to answer – crucial questions related to how the phenomenon is socially and discursively constructed. What kinds of struggles are manifested in public disputes about corruption? How do constructions of corruption relate with broader conceptions of (il)legitimacy in and around organizations? What are the discursive dynamics involved in the emergence and evolution of corruption scandals? The thesis consists of four essays that each employ different research designs and tackle these questions in slightly different theoretical and methodological ways. The empirical focus is on the media coverage of a number of significant and widely discussed scandals in Norway in the period 2003-2008. By illuminating crucial processes through which conceptions of corruption were constructed, reproduced, and transformed in these scandals, the thesis seeks to paint a more nuanced picture of corruption than what is currently offered in the literature. In particular, the thesis challenges traditional conceptions of corruption as a dysfunctional feature of organizations in and of itself by emphasizing the ambiguous, temporal, context-specific, and at times even contradictory features of corruption in public discussions.

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Bain, William, 'In Praise of Folly: International Administration and the Corruption of Humanity', International Affairs, (2006) 82(3) pp.525-538 RAE2008

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This paper provides a summary of our studies on robust speech recognition based on a new statistical approach – the probabilistic union model. We consider speech recognition given that part of the acoustic features may be corrupted by noise. The union model is a method for basing the recognition on the clean part of the features, thereby reducing the effect of the noise on recognition. To this end, the union model is similar to the missing feature method. However, the two methods achieve this end through different routes. The missing feature method usually requires the identity of the noisy data for noise removal, while the union model combines the local features based on the union of random events, to reduce the dependence of the model on information about the noise. We previously investigated the applications of the union model to speech recognition involving unknown partial corruption in frequency band, in time duration, and in feature streams. Additionally, a combination of the union model with conventional noise-reduction techniques was studied, as a means of dealing with a mixture of known or trainable noise and unknown unexpected noise. In this paper, a unified review, in the context of dealing with unknown partial feature corruption, is provided into each of these applications, giving the appropriate theory and implementation algorithms, along with an experimental evaluation.

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This article evaluates the anti-corruption campaign instituted in Nigeria following on the post-authoritarian transition in the country, with specific focus on political corruption. The anti-corruption campaign is being prosecuted within a context where law is as critical a factor as politics. This article examines whether the judiciary, in view of its accountability deficit, can offer legitimacy to the campaign. How has its questionable credentials impacted on its involvement in the campaign to sanitise public life? What has been the impact of the judicial role on the rule of law? These are some of the important questions this article seeks to answer. The inquiry in this article demonstrates how the guardian institution of the rule of law faces an uphill task in the performance of that role in a post-authoritarian context.

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Would multinational corporation (MNC) subsidiaries be more profitable in host countries where corruption is less severe? Would MNC subsidiaries be more profitable in less corrupt countries if they focus on local sales? This paper examines the impact of the level of corruption on the profitability of US MNCs in the Asia Pacific region. Using foreign direct investment (FDI) data archived by the US Bureau of Economic Analysis and corruption data reported by the World Bank, we find that MNC subsidiaries located in countries with a lower level of corruption are more profitable. In addition, MNC subsidiaries with a greater focus on local sales are more profitable when the corruption level is low. This study contributes to the literature by showing that when local sales are important to MNC subsidiaries, a lower level of corruption by host countries positively affects the profitability of the MNC subsidiaries.

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Why did banking compliance fail so badly in the recent financial crisis and why, according to many, does it continue to do so? Rather than point to the lack of oversight of individuals in bank compliance roles, as many commentators do, in this paper I examine in depth the organizational context that surrounded people in such roles. I focus on those compliance personnel who did speak out about risky practices in their banks, who were forced to escalate the problem and 'whistle-blow' to external parties, and who were punished for doing so. Drawing on recent empirical data from a wider study, I argue that the concept of dependence corruption is useful in this setting, and that it can be extended to encompass interpersonal attachments. This, in turn, problematises the concept of dependence corruption because interpersonal attachments in organisational settings are inevitable. The paper engages with recent debates on whether institutional corruption is an appropriate lens for studying private-sector organisations by arguing for a focus on roles, rather than remaining at the level of institutional fields or individual organisations. Finally, the paper contributes to studies on banking compliance in the context of the recent crisis; without a deeper understanding of those who were forced to extremes to simply do their jobs, reform of the banking sector will prove difficult.

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In this paper we address the idea of ‘legal but corrupt’ through a discussion of two cases: abuse scandals in the Irish Catholic Church and the financial services industry in the wake of the Global Financial Crisis. We identify two important dynamics that generated the scandals: that they were driven by strong and stable groups existing within a peculiar kind of ‘accountability space’ that we describe as ‘monastic’ and that those groups persisted with tacit or explicit support from the state. ‘Legal but corrupt’ is, we argue, a matter of insider incomprehension sustained by the ceding of sovereignty over some aspect of social or economic life.

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Our discussion focuses on the state’s ceding administrative power to special claimants for the state’s inattention. Legal corruption, by our lights, is less about explicit or implicit exchange relationships, and more about law being employed to carve out spaces where the state actively cedes spaces to private ‘sovereigns’ – sovereigns within the space, after it has been carved out – where they can regulate themselves as they see fit and where they can project their power over others without the state stepping in.

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This paper presents a novel method of audio-visual fusion for person identification where both the speech and facial modalities may be corrupted, and there is a lack of prior knowledge about the corruption. Furthermore, we assume there is a limited amount of training data for each modality (e.g., a short training speech segment and a single training facial image for each person). A new representation and a modified cosine similarity are introduced for combining and comparing bimodal features with limited training data as well as vastly differing data rates and feature sizes. Optimal feature selection and multicondition training are used to reduce the mismatch between training and testing, thereby making the system robust to unknown bimodal corruption. Experiments have been carried out on a bimodal data set created from the SPIDRE and AR databases with variable noise corruption of speech and occlusion in the face images. The new method has demonstrated improved recognition accuracy.