Homogeneous National Management Policies or Autonomous Choices by Administrative Units? Inter- and Intra-Country Management Tools Use Variations in European Central Government Administrations

ABSTRACT

This article presents an original research on the use of management tools in central government departments and agencies in 16 European countries. It is based on a survey conducted among senior managers (n?=?5,998). The analysis shows that the use of management tools results from a combination of top-down implementation of a list of management tools at the national level, combined with a bottom-up independent selection of tools by administrative units. The variation in management tool use depends on the type of tool. While the uses of a HRM tool, such as performance-related pay, or a financial tool, such as risk management, are heavily influenced by national public management policies, service quality-type tools, such as user surveys or quality management systems, tend to be chosen in a more autonomous manner by different administrative units, especially agencies.     

Macroeconomic Development and Civil Litigation

This paper contributes to the explanation of the tremendous rise in civil litigation activity in Austria over the last four decades by analysing the influence of macroeconomic conditions on civil litigation. We find that the number of transactions per individual—proxied by the level of real per capita GDP—positively influences the amount of litigation per capita. Inertia in litigious behavior reinforces effects. In the short run, however, we observe a countercyclical pattern of litigious activity. Cointegration analysis confirms the short run negative association, and a long run cointegrating relationship between GDP and civil litigation. Several robustness tests corroborate our results. Rent-seeking interpretations, and possible detrimental effects on the long run growth prospects cannot be excluded.     

Nationalism and Cultural Memory in Poland: The European Union Turns East

The eastern expansion of the European Union confronts the process of European integration with the phenomenon of cultural and ethnic nationalism. This paper examines the situation of Poland, using Jan Assmann's theory of cultural memory to reconstruct the historical dimension of Polish nationalism which underlies the current constructions of the Polish nation. Understanding itself as the antemurale Europae christianiae, Poland owns an old tradition of resistance. This tradition allowed this country to survive times of division and oppression but now turns against the European Union.     

Umweltproduktrecht – Konturen,Systematik und praktische Bedeutung

Natur und Recht - Erst der sog. Abgasskandal scheint ein stärkeres Bewusstsein für das Umweltproduktrecht in jüngerer Vergangenheit wieder geweckt zu haben. Dabei existiert diese...     

Classification of firing pin impressions using HOG-SVM

Crimes, such as robbery and murder, often involve firearms. In order to assist with the investigation into the crime, firearm examiners are asked to determine whether cartridge cases found at a crime scene had been fired from a suspect's firearm. This examination is based on a comparison of the marks left on the surfaces of cartridge cases. Firing pin impressions can be one of the most commonly used of these marks. In this study, a total of nine Ruger model 10/22 semiautomatic rifles were used. Fifty cartridges were fired from each rifle. The cartridge cases were collected, and each firing pin impression was then cast and photographed using a comparison microscope. In this paper, we will describe how one may use a computer vision algorithm, the Histogram of Orientated Gradient (HOG), and a machine learning method, Support Vector Machines (SVMs), to classify images of firing pin impressions. Our method achieved a reasonably high accuracy at 93%. This can be used to associate a firearm with a cartridge case recovered from a scene. We also compared our method with other feature extraction algorithms. The comparison results showed that the HOG-SVM method had the highest performance in this classification task.