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This thesis is composed of two essays that study the effectiveness of shareholder democracy.In the first essay, I analyze the firm value implications of shareholder-initiated proposals. I show that managerial resistance precludes half of shareholder-init ...
Selection and aggregation of ranking criteria became an important topic in information retrieval as search is getting more specialized and as volume of electronically available information grows. In this context, document ranking has undergone a shift from ...
While technology is often claimed to be “democratizing”, the technologizing of society has more often yielded undemocratic or even anti-democratic outcomes. Is technology fundamentally at odds with democracy, or is it merely a rich and infinitely-adaptable ...
We consider online predictions of vote results, where regions across a country vote on an issue under discussion. Such online predictions before and during the day of the vote are useful to media agencies, polling institutes, and political parties, e.g., t ...
Voting can abstractly model any decision-making scenario and as such it has been extensively studied over the decades. Recently, the related literature has focused on quantifying the impact of utilizing only limited information in the voting process on the ...
White matter hyperintensities (WMH) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMH labour intensive and prone to subjective bias. T ...
We study the effect of strategic voting on the success and stability of international environmental agreements (IEAs). We assume that voters elect the government that negotiates an IEA in a framework of two asymmetric countries without transfers. We find t ...
Objectives. Models of economic voting have rarely been applied to referendum votes. We fill this gap by testing citizens’ voting behavior on environmental policy in relation to their perception of the business cycle. Thus, the study examines the personal, ...
This paper addresses the issue of segmentation and recognition of text embedded in video sequences from their associated text image sequence extracted by a text detection module. To this end, we propose a probabilistic algorithm based on Bayesian adaptive ...
