Radicalness of blockchain: an assessment based on its impact on the payments industry

Blockchain is receiving considerable attention among practitioners and academics. However, a detailed analysis investigating how the impact of blockchain is going to unfold is still missing. Our article sets out to assess the radicalness of blockchain at an early stage of its development and substantiates the analysis with evidence from the payments industry. We start by distilling five key aspects of radical innovation from extant literature. Our analysis of blockchain then focuses on the payments industry, which represents a major business field of banking and the cradle of this technology. The results of a Delphi study provide 17 statements about the current development of blockchain. The statements deliver insights into the impact of blockchain on the payments industry and reveal the radicalness of the technology. Based on these insights, we investigate how blockchain affects the five key aspects of radical innovation and develop contributions from an innovation management’s perspective.     

STEM selves: Women’s identity projects and their assessment of future employers in technical fields

In this paper, we take an identity project perspective on careers to explore how job seekers assess potential employers. Identity projects are individuals’ self-definitions in the light of their career development and personal aspirations and have the potential to further our understanding of careers. Drawing on focus group discussions of women seeking employment in STEM, we find four identity positioning strategies through which the women assess future employers. Our analysis illustrates the role of organizational images for shaping and realizing individuals’ identity projects. We contribute to research on identity projects by extending the concept’s focus to include job seekers as external organizational stakeholders and provide insight into their identity positioning. Furthermore, our study enhances the understanding of organizational image in the context of employee recruitment by outlining how individuals position themselves in relation to the organizational images they construct when reflecting on their identity projects and on the institutional context. Overall, we develop a more nuanced approach to understanding women’s interpretations of organizational identity claims (e.g., gender diversity claims) and thus extend current theorizing on recruiting women to STEM.     

The advantages of a small European Monetary Union

The question whether European Monetary Union should include all the EC countries from the start or should initially be limited to a few core countries is again being discussed more intensely. What advantages would a small EMU have from an economic point of view? Which countries should be its founder members?     

Strategic job analysis

The application of job analysis techniques makes the implicit assumption that information about a job as it presently exists may be used to develop programs to recruit, select, train, and appraise people for the job as it will exist in the future. Given a rapidly changing internal and external world it is likely that many jobs will change in the future. This article reviews some new techniques that, when added to traditional job analysis procedures, may facilitate strategic planning for the development of personnel procedures such as selection and training. Examples of the new technique are presented, followed by a discussion of some topics requiring future thought and research.     

Is the performance of the dollar a random process?

It is still frequently argued that a random process would be the best way of predicting the DM/dollar exchange rate. In the following empirical analysis, however, Dr. Rolf Schneider comes to the conclusion that the behaviour of the dollar can be explained largely in terms of basic economic variables.     

Optimal portfolios when volatility can jump

We consider an asset allocation problem in a continuous-time model with stochastic volatility and jumps in both the asset price and its volatility. First, we derive the optimal portfolio for an investor with constant relative risk aversion. The demand for jump risk includes a hedging component, which is not present in models without volatility jumps. We further show that the introduction of derivative contracts can have substantial economic value. We also analyze the distribution of terminal wealth for an investor who uses the wrong model, either by ignoring volatility jumps or by falsely including such jumps, or who is subject to estimation risk. Whenever a model different from the true one is used, the terminal wealth distribution exhibits fatter tails and (in some cases) significant default risk.