A Typology of International New Ventures: Empirical Evidence from High‐Technology Industries

We examine determinants of different types of International New Ventures (INVs), namely Export Start‐up, Geographically Focused Start‐up, Multinational Trader, and Global Start‐up. Whereas this typology of INVs has been widely accepted in the literature, empirical testing of the determinants of INV types is largely missing. Our arguments build on the International New Venture Theory (INVT). Hypotheses generated from our framework are tested on 195 German high‐tech enterprises. Results show that growth orientation, prior international experience, knowledge intensity, product differentiation, and learning orientation distinguish significantly between the different INV types.     

The case of the ECB: Better to lean against the wind than to fight a hurricane

In the light of the recent financial crisis, the ECB has announced a slight shift in the reading of its monetary policy strategy and acknowledges that the case for a “leaning against the wind” strategy has strengthened. This implies that now, more than ever, the ECB is willing to dampen asset bubbles in the early stage of their formation. This article explains what the ECB can learn from historical asset bubbles in EU eurozone member countries. The empirical analysis indicates that asset bubbles in some member countries are mostly followed by asset bubbles in further member countries, which supports the ECB’s current reading of its monetary policy strategy.     

Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding

We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is, forecasters seem to intentionally scatter their forecasts around a consensus forecast. We further show that cross-sectional heterogeneity of forecasts with regard to anti-herding transmits onto cross-sectional heterogeneity of forecast accuracy. Specifically, we document that forecasters who herd provide more accurate forecasts than their colleagues who anti-herd.     

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

In order to assess damage risk caused by climate change in forest areas, Dempster–Shafer theory of evidence and fuzzy measures were applied to develop a framework for the estimation of economic forest damage. According to the definition of risk supported by the Intergovernmental Panel on Climate Change, a function of hazard and resilience lines of evidence was defined. The results of the hazard and resilience assessment were used to develop an economic framework based on Faustmann studies. The evaluation model, implemented through a spatial analysis procedure, was carried out linking Faustmann formula with hazard and resilience raster maps. The model permitted to estimate in monetary terms two possible costs to be supported: the first one is expressed as the expected damage to the forest crop on the basis of the current obtainable woody assortments and the second one referred to the potential expenses to pay in order to mitigate the risk. Finally, the framework was tested on an area of central Italy (Tuscany region).     

Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet

The fair use flat rate is a promising tariff concept for the mobile telecommunication industry. Similar to classical flat rates it allows unlimited usage at a fixed monthly fee. Contrary to classical flat rates it limits the access speed once a certain usage threshold is exceeded. Due to the current global roll-out of the LTE (Long Term Evolution) technology and the related economic changes for telecommunication providers, the application of fair use flat rates needs a reassessment. We therefore propose a simulation model to evaluate different pricing strategies and their contribution margin impact. The key input element of the model is provided by so-called discrete choice experiments that allow the estimation of customer preferences.     

Competition and managerial autonomy

I formalize and challenge the idea that competition forces managers to make better choices, thus favoring managerial autonomy in decision making. If managers care about keeping their position or avoiding interference, and they can make strategic choices that affect both expected firm profits and their riskiness, even if competition at first pushes the manager towards profit maximization, further increases in competition might lead him to take excessive risks. To curb this possibility, the principal owner optimally reduces the degree of autonomy granted to the manager. Hence, higher levels of managerial autonomy are more likely for intermediate levels of competition.     

The role of venture capitalist to enhance the growth of Spanish and Italian university spin-offs

The establishment of spin-offs to commercialise university knowledge/technology is a potential mechanism to promote economic and innovative development. Nevertheless, University Spin-Offs (USOs) are usually resource-constrained, especially in obtaining funding, limiting their growth. Venture Capital (VC) investors play an important role in the financing and the improvement of their managerial skills, which are critical for firm growth. This paper aims to explore both the effect of VC partners on the USOs’ growth and the cross-national differences in the role played by them. To study both issues, we empirically analysed 516 Spanish and 904 Italian USOs created by 50 Spanish and 57 Italian universities, respectively, and observed them between 2005 and 2013. The results showed different effects in the Spanish and Italian cases. While in Spain the presence of VC partners positively affects the USOs’ growth, in Italy there is not a significant effect. This evidence calls for systematic policies by public administrations and universities to foster USO growth.