Authentizität und Inszenierung von Bilderwelten

Ohne Zusammenfassung     

Country of origin: A competitive advantage?

Country of origin has been identified in the literature as an important cue that might be used by global marketers to influence consumers' valuation of the brand. Its effect on consumer perceptions, affect and behavioral intentions has been widely documented, based on consumer surveys and laboratory experiments. Despite this empirical evidence, we argue that country of origin is only one extrinsic cue among many extrinsic and intrinsic cues available to the consumer in a real purchase situation. Furthermore, in real life, consumers are likely to engage in some level of information search, which would further dilute the country of origin effect in the marketplace. Based on these arguments, we conclude that country of origin might not necessarily lead to a competitive (dis)advantage in terms of a price premium or discount. For a sample of products, we show that the objective product quality varies significantly by country of origin, and that these differences are consistent with extant research on country of origin effects on consumers' perceptions. After controlling for quality differences across brands, we demonstrate that marketers from different countries charge prices that are justified by differences in product quality. Price premiums or discounts are therefore explained by differences in product quality rather than the image effect produced by the country of origin cue.     

Financial intermediation and the role of price discrimination in the foreign exchange market

Foreign exchange trading is performed in opaque and decentralized markets. The two-tier market structure consisting of a customer segment and an interdealer segment to which only market makers have access gives rise to the possibility of price discrimination. We develop a theoretical pricing model that accounts for market-power considerations and analyze a database of the trades of a foreign exchange market maker. We find that the market maker generally exerts low bargaining power vis-á-vis customers. The dealer earns lower average spreads on trades with financial customers than commercial customers, even though the former are perceived to convey exchange-rate-relevant information.     

Human error in high hazard systems: Do we treat the problem in an appropriate way?

This article addresses the problem of human error within a technical environment. A model of a human-machine interface is presented to illustrate the work situation in an open perspective. The term human error is defined and briefly discussed. A general framework for controlling human error is presented with proactive and reactive approaches. Some well-known methods of human reliability assessment are discussed and the general limitations of the methods are elaborated. The reactive approaches are compared with proactive approaches, and the term 'safety culture' is elucidated. The importance of high reliability organizations to serve as model companies for other organizations is briefly discussed.     

Network topology of the interbank market

We provide an empirical analysis of the network structure of the Austrian interbank market based on Austrian Central Bank (OeNB) data. The interbank market is interpreted as a network where banks are nodes and the claims and liabilities between banks define the links. This allows us to apply methods from general network theory. We find that the degree distributions of the interbank network follow power laws. Given this result we discuss how the network structure affects the stability of the banking system with respect to the elimination of a node in the network, i.e. the default of a single bank. Further, the interbank liability network shows a community structure that exactly mirrors the regional and sectoral organization of the current Austrian banking system. The banking network has the typical structural features found in numerous other complex real-world networks: a low clustering coefficient and a short average path length. These empirical findings are in marked contrast to the network structures that have been assumed thus far in the theoretical economic and econo-physics literature.