4 resultados para Business policy

em Helda - Digital Repository of University of Helsinki


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The growth of the information economy has been stellar in the last decade. General-purpose technologies such as the computer and the Internet have promoted productivity growth in a large number of industries. The effect on telecommunications, media and technology industries has been particularly strong. These industries include mobile telecommunications, printing and publishing, broadcasting, software, hardware and Internet services. There have been large structural changes, which have led to new questions on business strategies, regulation and policy. This thesis focuses on four such questions and answers them by extending the theoretical literature on platforms. The questions (with short answers) are: (i) Do we need to regulate how Internet service providers discriminate between content providers? (Yes.) (ii) What are the welfare effects of allowing consumers to pay to remove advertisements from advertisement-supported products?(Ambiguous, but those watching ads are worse off.) (iii) Why are some markets characterized by open platforms, extendable by third parties, and some by closed platforms, which are not extendable? (It is a trade-off between intensified competition for consumers and benefits from third parties) (iv) Do private platform providers allow third parties to access their platform when it is socially desirable? (No.)

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In a framework of Intellectual Capital (IC), the effects and interactions of a Worksite Fitness Program (WFP) policy was studied with a multidisciplinary approach. In a preliminary study, indicators for physical activity (PAI), physical fitness (PFI), activity in WFP on a regular (WFPI) and on a events basis (WFPE) were created in line with positive findings regarding the associations between physical activity and fitness patterns and sick leave, perceived health, and self-assessed work ability. The intensity of physical activity was found to be the most important variable to predict positive associations with the above mentioned wellness parameters. In four case study follow-up settings, the effects and interactions of physical activity and fitness patterns and the company’s WFP-policy on different elements of IC were studied. Qualitative methods were applied in constructing indicators and a descriptive IC measure for each case company. In cross-sectional and follow-up settings, several findings with respect to IC were found regarding physical activity in general and activity in WFP in particular. Findings were relatively strong in health and wellness related indicators in Human Capital, where, as also in Structural Capital indicators such as the company climate and employee-superior relationship, revealed positive associations. Physical activity patterns were found to act in minor role in Relational Capital. Overall, WFP was seen to be an integrated part of Structural Capital. From the viewpoint of Worksite Fitness Program as a phenomenon, this study positioned WFP as an active element of Intellectual Capital. The literature in the field of WFP emphasizes the role of WFP as an instrument to activate employees in physical activity, and thus promote their health and wellbeing. With the wider perspective the active and long range WFP policy can support a company’s Structural and Relational Capital in line with the fundamental role it has on Human Capital.

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In this paper I investigate the exercise policy, and the market reaction to that, of the executive stock option holders in Finland. The empirical tests are conducted with aggregated firm level data from 34 firms and 41 stock option programs. I find some evidence of an inverse relation between the exercise intensity of the options holders and the future abnormal return of the company share price. This finding is supported by the view that information about future company prospect seems to be the only theoretical attribute that could delay the exercise of the options. Moreover, a high concentration of exercises in the beginning of the exercise window is predicted and the market is expected to react to deviations from this. The empirical findings however show that the market does not react homogenously to the information revealed by the late exercises.

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Perhaps the most fundamental prediction of financial theory is that the expected returns on financial assets are determined by the amount of risk contained in their payoffs. Assets with a riskier payoff pattern should provide higher expected returns than assets that are otherwise similar but provide payoffs that contain less risk. Financial theory also predicts that not all types of risks should be compensated with higher expected returns. It is well-known that the asset-specific risk can be diversified away, whereas the systematic component of risk that affects all assets remains even in large portfolios. Thus, the asset-specific risk that the investor can easily get rid of by diversification should not lead to higher expected returns, and only the shared movement of individual asset returns – the sensitivity of these assets to a set of systematic risk factors – should matter for asset pricing. It is within this framework that this thesis is situated. The first essay proposes a new systematic risk factor, hypothesized to be correlated with changes in investor risk aversion, which manages to explain a large fraction of the return variation in the cross-section of stock returns. The second and third essays investigate the pricing of asset-specific risk, uncorrelated with commonly used risk factors, in the cross-section of stock returns. The three essays mentioned above use stock market data from the U.S. The fourth essay presents a new total return stock market index for the Finnish stock market beginning from the opening of the Helsinki Stock Exchange in 1912 and ending in 1969 when other total return indices become available. Because a total return stock market index for the period prior to 1970 has not been available before, academics and stock market participants have not known the historical return that stock market investors in Finland could have achieved on their investments. The new stock market index presented in essay 4 makes it possible, for the first time, to calculate the historical average return on the Finnish stock market and to conduct further studies that require long time-series of data.