Virtual operators in the mobile industry: a techno-economic analysis

For a company planning to become a mobile operator, two alternative ways to enter the market exist. In addition to the traditional way of acquiring a spectrum license and building a mobile network, market entrance is also possible by becoming a virtual operator and utilizing the existing networks of incumbent operators. Potentially, virtual operators will have an important role in shaping the mobile market structure and competition. In this paper, techno-economic modeling methods are used to analyze the position of virtual operators in the mobile communications industry. Four alternative virtual operator scenarios are constructed and analyzed using a linear, deterministic, and quantitative techno-economic model. The results highlight the importance of wholesale contracts with incumbent mobile network operators in determining the virtual operators’ business profitability. Unbalance in termination prices between fixed and mobile networks is shown to give incentives for virtual operators to invest in their own network infrastructure.     

Forecasting performances of three automated modelling techniques during the economic crisis 2007–2009

In this work we consider the forecasting of macroeconomic variables during an economic crisis. The focus is on a specific class of models, the so-called single hidden-layer feed-forward autoregressive neural network models. What makes these models interesting in the present context is the fact that they form a class of universal approximators and may be expected to work well during exceptional periods such as major economic crises. Neural network models are often difficult to estimate, and we follow the idea of White (2006) of transforming the specification and nonlinear estimation problem into a linear model selection and estimation problem. To this end, we employ three automatic modelling devices. One of them is White’s QuickNet, but we also consider Autometrics, which is well known to time series econometricians, and the Marginal Bridge Estimator, which is better known to statisticians. The performances of these three model selectors are compared by looking at the accuracy of the forecasts of the estimated neural network models. We apply the neural network model and the three modelling techniques to monthly industrial production and unemployment series from the G7 countries and the four Scandinavian ones, and focus on forecasting during the economic crisis 2007–2009. The forecast accuracy is measured using the root mean square forecast error. Hypothesis testing is also used to compare the performances of the different techniques.     

Simon's and Siegel's responses to the 'mixed strategy anomaly': a missed case in the sensitivity of economics to empirical evidence

In some of their papers published in the 1950s, Herbert Simonand Sidney Siegel responded to the so-called mixed strategyanomaly in ways which deserve more attention. They producednot only (i) immediate defences of the economic theory of theirown time, but also (ii) ideas and solutions that have laterturned out to be significant contributions to the developmentof the economic theory of choice and decision-making and theseparation of experimental economics from experimental psychology.These observations suggest that economics can be more responsiveto empirical anomalies than has been assumed. Furthermore, knowledgeof the desirable responsiveness to anomalies can provide meansof avoiding the non-desirable immunity to anomalies.     

Language and the Circuits of Power in a Merging Multinational Corporation

abstract    We argue in this paper that corporate language policies have significant power implications that are easily overlooked. By drawing on previous work on power in organizations ( Clegg, 1989 ), we examine the complex power implications of language policy decisions by looking at three levels of analysis: episodic social interaction, identity/subjectivity construction, and reconstruction of structures of domination. In our empirical analysis, we focus on the power implications of the choice of Swedish as the corporate language in the case of the recent banking sector merger between the Finnish Merita and the Swedish Nordbanken. Our findings show how language skills become empowering or disempowering resources in organizational communication, how these skills are associated with professional competence, and how this leads to the creation of new social networks. The case also illustrates how language skills are an essential element in the construction of international confrontation, lead to a construction of superiority and inferiority, and also reproduce post-colonial identities in the merging bank. Finally, we also point out how such policies ultimately lead to the reification of post-colonial and neo-colonial structures of domination in multinational corporations.