Controlling in einem deutsch-chinesischen Joint Venture - Ein Erfahrungsbericht

Ohne Zusammenfassung     

Airline Codeshare Alliances

The paper juxtaposes the challenges that airline codeshare alliances create for analytical information systems on the one hand and their motivation from a marketing perspective on the other. The authors review the state-of-the-art literature on potential marketing benefits and analyze the impact on airline planning systems. In this regard, revenue management systems are of particular interest. Based on a simulation study, the authors infer a severe impact of decentralized codeshare controls as currently widely implemented in the industry on revenue management performance. In the scenarios examined, complementary codesharing reduces alliance-wide revenues by up to 1 %. Losses increase when a carrier experiences high local demand or a high degree of codeshare demand, and disseminate over the whole network. Virtual codeshares also cause losses of 0.3 % to 1.5 % depending on the discount level offered by the marketing carrier and on the demand structure. Finally, the authors formulate a set of managerial implications based on these findings.     

Portfolio selection: An extreme value approach

We show theoretically that lower tail dependence (χ), a measure of the probability that a portfolio will suffer large losses given that the market does, contains important information for risk-averse investors. We then estimate χ for a sample of DJIA stocks and show that it differs systematically from other risk measures including variance, semi-variance, skewness, kurtosis, beta, and coskewness. In out-of-sample tests, portfolios constructed to have low values of χ outperform the market index, the mean return of the stocks in our sample, and portfolios with high values of χ. Our results indicate that χ is conceptually important for risk-averse investors, differs substantially from other risk measures, and provides useful information for portfolio selection.     

Multi-Market Collusion with Demand Linkages and Antitrust Enforcement

This paper analyzes dynamic cartel formation and antitrust enforcement when firms operate in demand-related markets. We show that cartel prosecution can have a knock-on effect: bringing down a cartel in one market reduces profits and cartel stability and leads to the break-up of the cartel in the adjacent market. Cartel prosecution can also have a waterbed effect: disrupting a cartel increases cartel stability in the adjacent market and induces cartel formation in previously competitive markets. We discuss the impact of dynamic cartel formation on consumer surplus, explore antitrust spillovers, the optimal scope of antitrust interventions and cartel formation with local firms.     

Multi-regime nonlinear capital asset pricing models

A multiple-regime threshold generalized autoregressive conditionally heteroskedastic capital asset pricing model is introduced. The model captures asymmetric risk through allowing market beta to change discretely between regimes that are driven by market information. Asymmetric volatility and mean equation dynamics are also captured. We confirm the time-varying nature of market risk, in response to changes in the market, and that this discrete time variation can differ across assets. These findings could have important implications for optimizing investment decisions: e.g. in risk assessment, portfolio selection and hedging decisions.     

Consumer views of self-service technologies

This study examined how customers perceived and classified a set of 12 self-service technologies (SSTs) based on multidimensional scaling. The authors describe first, how the classifications developed by Lovelock are perceived by consumers and then, how the individual SSTs map onto those classifications. Results of the study show that 67% of the variance in classification is explained by two dimensions of customization/standardization and separability/inseparability. The authors also propose a typology for the SSTs based on their groupings in the classification framework. The authors discuss the managerial implications of the findings and suggest directions for future academic research.     

Perceived risk and e-banking services: An analysis from the perspective of the consumer

This research investigates the premise that purchasing e-banking services is perceived to be riskier than purchasing traditional banking services. Unlike previous studies on perceived risk that typically focused on the relationship of perceived risk and information search, this exploratory study examines the dynamics of perceived risk throughout the various stages of the consumer buying process. A survey of 159 respondents reveals a risk premium for e-banking services that follows a systematic pattern throughout the consumer buying process. When viewed as a dynamic process, perceived risk for e-banking services shows more radical changes in risk levels than traditional banking services. The analyses indicate that financial risk drives the risk premium while psychological, physical and time risk play ancillary roles as risk drivers at certain stages of the consumer buying process. A major implication of this study is that there is a risk premium for e-banking services and the risk premium permeates all stages of the consumer buying process. Risk mitigation strategies are addressed.