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Showing result 1 - 5 of 82 swedish dissertations matching the above criteria.
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1. Adaptive blind deconvolution using third-order moments : exploiting asymmetry
Abstract : This thesis focuses on the use of third-order statistics in adaptive blind deconvolution of asymmetric impulsive signals. Traditional methods are typically based on fourthorder moments, which can discriminate signals with heavy-tailed probability functions (i.e. `spiky' signals) from corresponding filtered versions. READ MORE
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2. Enterprise Social Media in Project-based Knowledge Work : A contextualized view through the lens of activity theory
Abstract : Project-based knowledge work is characterised by decentralised and dynamic team-based structures, different from the traditional, bureaucratic organisation. Arguably, this flexible and collaborative work setting could benefit from enterprise social media, which helps facilitate how people connect, collaborate and share information across organisational boundaries. READ MORE
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3. Essays on Information and Conflicts of Interest in Stock Recommendations
Abstract : This thesis brings together three separate empirical essays on the information and conflicts of interest in stock recommendations. The first essay analyzes stock-price reactions to recommendations published in printed Swedish media and also trading volumes at and around the publication day, bid/ask spreads, and the post-publication drift in recommended stocks for the period 1995-2000. READ MORE
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4. Demand and Supply of Information on Intangibles: The Case of Knowledge-Intense Companies
Abstract : This doctoral thesis has its theoretical origin in the notion that the information flow between management teams, financial analysts and investors is especially exposed to information asymmetry when knowledge-intense companies are concerned. Information asymmetry may aggravate agency problems and risk causing an impairment of the efficient allocation of capital on the stock market. READ MORE
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5. Essays on information asymmetry, disclosures and the financing of R&D. The case of the biotechnology industry
Abstract : Investments in research and development (R&D) are an important driver of innovation, productivity and economic growth. Despite the importance of R&D investments to society, it is commonly known that R&D activities are difficult to finance in a competitive marketplace. READ MORE