921 resultados para ECONOMICS


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This thesis examines the transition of employees into entrepreneurship, with particular emphasis on the role of workplace characteristics in influencing this movement. The first main chapter examines whether the determinants of becoming an intrapreneur differ from those that support transitions into independent entrepreneurship. The results show that intrapreneurs resemble employees rather than entrepreneurs, contrary to what the entrepreneurship theory would suggest. Yet it shows that those intrapreneurs that expect to acquire an ownership stake in the business, unlike the rest of intrapreneurs, possess traditional entrepreneurial traits. Chapter 3 investigates how workers’ degree of specialisation determines their decision to found a firm. It shows that entrepreneurs emerging from small firms, i.e. generalists, transfer knowledge from more diverse aspects of the business and create firms more related to the main activity of their last employer. Workers in large firms, however, benefit from higher returns to human capital that increase their opportunity costs to switch to entrepreneurship. Since becoming an entrepreneur would make part of their specialised skills unutilised, the minimum quality of the idea at which they would be willing to leave will be higher and, therefore, entrepreneurs emerging from large firms will be of highest quality. Chapter 4 analyses whether the reason to terminate an employment contract is associated with the fact that the majority of entrepreneurs appear to set up their business after having worked for a small firm. Moreover, it studies how this pattern varies as the labour market conditions worsen. The effect of layoffs turns out to be a key driver in the entry to entrepreneurship and it is found to exert a greater effect the smaller the firm workers are dismissed from. This has been reflected in an overall larger flow of employees from small firms moving into entrepreneurship over the recession.

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This paper explores the economic thinking behind the UK Coalition government’s new framework for achieving local growth and the creation of Local Enterprise Partnerships in England. It does so in the light of recent debates about ‘space-neutral’ and ‘place-based’ policymaking. While the British government states its ambition to achieve greater spatial and industrial balance across England (and by implication the UK), we argue that so far at least there is a mismatch between the ‘rhetoric’ and ‘policies’ of local growth and its limitations. These relate to inconsistencies in the way that the different competing economic ideas in circulation within government have been adopted in practice. As a result, the paper highlights six key disconnects and limitations of the economics behind the move in England to local growth.

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The copyright industries — such as music, film, software and publishing — occupy a significant and growing share of economic activity. Current copyright law protects the creator for up to 70 years after their death, significantly longer than patent protection (20 years after invention). Copyright law aims to balance the incentive to create new work against the costs associated with high prices and restricted access to this work. This paper reviews the economic issues behind copyright and how these are challenged by changes in technology and market structure. While economics provides a powerful conceptual framework for understanding the trade-offs involved, the paper argues that our empirical knowledge base is very weak. Much more empirical analysis is needed to understand the impacts of changes to copyright legislation. Without such analysis, policy and legal debates will continue to be based largely on anecdote and rhetoric.

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An expert system (ES) is a class of computer programs developed by researchers in artificial intelligence. In essence, they are programs made up of a set of rules that analyze information about a specific class of problems, as well as provide analysis of the problems, and, depending upon their design, recommend a course of user action in order to implement corrections. ES are computerized tools designed to enhance the quality and availability of knowledge required by decision makers in a wide range of industries. Decision-making is important for the financial institutions involved due to the high level of risk associated with wrong decisions. The process of making decision is complex and unstructured. The existing models for decision-making do not capture the learned knowledge well enough. In this study, we analyze the beneficial aspects of using ES for decision- making process.