This thesis examines the role of corporate power in the decision making and regulatory processes for major hazard sites in the UK. In particular, emphasis is placed on the role of risk analytical techniques and the associated use of technical expertise in the public inquiry process by focusing on two areas, Canvey Island (Essex) and Ellesmere Port (Cheshire), over a twenty year period. Evidence shows that the ability of public groups to intervene effectively in the decision making process varies both .spatially and temporally. In order to set this data within a theoretical framework the analysis of public inquiries in these areas takes place in the context of three competing perspectives on power, namely pluralist, elitist and Marxist. Through the use of a number of mediating concepts the three theoretical persectives on power are married to the empirical data derived for the two areas. The research shows that each of the perspectives fails to provide an adequate explanation for events. Against this background some of the models of scientific expertise within decision making are evaluated and it is suggested that such models need to be set in a wider economic and social framework than had previously been allowed for by some authors. It is argued that risk analysis can be used to support the interests of powerful groups and as a consequence its validity as an input into decision making needs to be subjected to more critical scrutiny than has previously been the case. The thesis concludes by making a number of recommendations for the various bodies involved in making judgements about major hazards.

No description available.

Thesis (Ph.D.)--Michigan State University. Dept. of Marketing and Supply Chain Management, 2008. / Title from PDF t.p. (viewed on Mar. 30, 2009) Includes bibliographical references (p.192-207). Also issued in print.

Thesis (Ph. D.)--University of Wisconsin, 1966. / Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Bibliography: leaves 246-251.

Thesis (Ph. D.)--University of Hong Kong, 1996. / Includes bibliographical references.

Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 104-106). Available also in a digital version from Dissertation Abstracts.

This thesis describes in depth what the steps for a successful business project are: from an idea to its implementation. Every business project may be regarded as an investment. I followed the institutions involved and then the instruments needed, but the next logical step in order to complete the picture would be the human factor. Because all the knowledge base on how to support the mission (idea and its goal), how to manage the project, and what kind of players to involve in the end is executed by people. Humans are incapable of predicting the future, but are perfect in adapting to new realities. Similarly, no capital budget can be perfectly coinciding with expected performance. No matter how many times the facts are checked the perfect balance is lost with time. My goal with this topic was to show that in order to bring business value and competitive advantage, good knowledge of the processes and methods is paramount. Careful planning and execution can bring in synchrony idea, raising capital, risk management, capital budgeting and execution close enough, so that in the end a business project may be titled successful.

Vienas iš darbo tikslų yra apžvelgti rizikos sąvokos aiškinimus, jos rūšis, veiksnius bei vertinimo ir analizės metodus. Šio darbo tyrimo tikslas – vertinti pasirinktos įmonės X riziką pagal finansinių ataskaitų duomenis. Siekiant įvertinti įmonės riziką ateičiai, darbe prognozuosime 2007 -2008 metams statistinius įmonės dydžius: nuosavo kapitalo vertę, grynąjį pelną, įsipareigojimus, turtą ir kt. Pagal realius ir prognozuotus duomenis skaičiuosime finansinius rodiklius. Prognozes atliksime pagal tiesinius ir netiesinius prognozavimo metodus. / Risk is interpreted and explained very various. The risk is necessary in Lithuanian economical system, because the produce are begun to make earlier than demand begin to grow. The purpose of this work is to review interpretation of risk, it’s kinds, factors, methods of analysis and estimation. In this work, risk of the firm estimate by statistical data of financial accounts. We forecast statistical firm’s data: the capital, the net profit, the liabilities, the assets and etc.; for 2007 and 2008 years. We compute financial indexes by real and forecast data. In this work, we forecast number by trends with seasonal decompositions, curve of Regression, Moving Average method, Simple Exponential smoothing method, Autoregressive model and Autoregressive Integrated Moving Average (ARIMA) model. We use the statistical and analytical software package STATISTICA. After forecasting number of assets, liabilities we got that Polynomial trend with seasonal components is the best model for them. Logarithmical trend with seasonal components is the most infallible model for capital’s forecasting number. The best model for interest is Autoregressive model. The best model for net profit is Regression model. Risk of the firm is estimated by calculated financial indexes ROCE, ROA, ROI.

This master thesis is focused on risk management in company, specifically on risk management in a building company. There are concisely defined risks which can endanger the company. These risks are further analyzed in detail. Qualitative and quantitative analyses were used for that analyses, they were based on questionnaires in company and an analysis of costs and revenues. Measures are proposed for risks which significantly endanger the company. They could prevent and relieve the risks and their negative effect to company. Among the critical risks belongs serious failure of machinery and equipment, lack of expertise of the staff and the mismatch between company objectives and objectives of individual employees, while economic risks are assessed positively. For risk management is crucial that the company aware of the risks and they should be included their management in the strategic management of the company.

The main goal of this thesis is proposal and implementation of the support of decision making with help of Business Inteligence tools in bank environment for deparment of the risk management. The proposal include enlargement of the current used dimensions with new ones. Designed system should fully replace contemporary system and extend possibilities of obtaining informations from data resources and improve the quality of decision making. Designed system will be part of portfolio quality review of multiple business products. The next goal of this work is to analyse current trends in Business Inteligence and analyse the usage of BI in banking. Further analyse the support of BI from operative to strategic decision making. The goals are achieved on the basis of analyses accessible relevant electronic and printed resources, further from knowledge and experience of bank's analysts from deparment of the risk management and BI. Further from service documentation and further from my work experience in deparment of the risk management and from implementation of credit scoring projects. As the personal contribution of the author is possible to consider the demonstration of the usage of BI in bank risk management and at the same time the proposal of one possible way of solving implementation of the supports of decision making in bank's environment.