Strategic Patenting in Biotechnology

Patents can be used by their owners in a variety of strategic ways in the market place that do not necessarily conform with the original idea of patents as a remedy against market failure. More patenting does not lead to more innovation in all cases. This article looks at the relevance of patents and their strategic uses in the biotechnology industry. The article considers the different motives for applying for patents and various strategies. Theoretical considerations are made based on empirical findings from a survey of the Swiss biotechnology industry carried out in 2003. The empirical data confirm that patents for biotechnological inventions are important as an incentive for investment in R&D and that patents are an efficient tool for protecting biotechnological inventions. Strategic patenting is not very common in Switzerland and there are no signs for an abusive level of strategic patenting.     

Innovation Offshoring,Institutional Context and Innovation Performance: A Meta‐Analysis

Innovation offshoring (IO) has become a widespread management practice. Yet, evidence on the performance implications is inconsistent, and scattered across disciplines and contexts. We argue that the benefits firms can derive from IO depend on the institutional environment at home. Drawing on recent work on institutional theory in international business, we explore institutions that facilitate reverse knowledge transfer and/or institutional arbitrage with respect to innovation‐related activities. The results of our meta‐analysis that synthesizes evidence from 48 samples show that IO is related positively to innovation performance. As predicted, this relationship is moderated by differences in the institutional environments across countries. Specifically, when national innovation systems are weak at home, IO appears to enable institutional arbitrage strategy whereas Confucian cultures enable more effective reverse knowledge transfer. However, contrary to our expectations, the beneficial effects of IO appear to have diminished over time.     

Under what conditions may social contracts arise? Evidence from the Hanseatic League

Social contractarians commonly take social contracts to be solely hypothetical and refrain from elaborating on the factors that influence the feasibility of the formation of social contracts. In contrast, this paper aims at providing a discussion of the conditions affecting the feasibility of social contracts. I argue that the more aligned the preferences of group members for public goods are, the more the individuals share similar social norms, and the smaller the group is the more feasible a genuine social contract becomes. I provide evidence in support of my contention from the medieval Hanseatic League. At the Hanseatic Kontor in Novgorod, one of the four major trading posts of the Hanseatic League in cities outside of Germany, German merchants agreed to live under the rule of a constitution that gave rise to a political authority for the Kontor society.     

The Global Distribution of Trademarks: Some Stylised Facts

This paper provides the first empirical analysis of the global distribution of trademarks. It is based on a new dataset compiled by the authors from the statistical information published by the World Intellectual Property Organisation (WIPO). The questions analysed include the distribution of trademarks among countries of different income levels, the share of trademark registrations accounted for by foreign residents and its variation across different income groups, the extent to which poor countries participate in the international trademark system, and the distribution of registrations across different sectors of the economy. The evidence presented in this paper is relevant for assessing possible welfare implications of changes in intellectual property protection and evaluating the role of reputational assets in determining international trading patterns.     

What you are is what you like—similarity biases in venture capitalists' evaluations of start-up teams

This paper extends recent research studying biases in venture capitalist's decision making. We contribute to this literature by analyzing biases arising from similarities between a venture capitalist and members of a venture team. We summarize the psychological foundations of such similarity effects and derive a set of hypotheses regarding the impact of similarity on the assessment of team quality. Using data from a conjoint experiment with 51 respondents, we find that venture capitalists tend to favor teams that are similar to themselves in type of training and professional experience. Our results have important implications for academics and practitioners alike.     

Patent Protection, Transnational Corporations, and Market Structure: A Simulation Study of the Indian Pharmaceutical Industry

This study examines the role of patent protection on the behavior of transnational corporations and market structure in the Indian pharmaceutical industry. The method of analysis is the calibration of a theoretical model to firm-level data from two therapeutic groups of the Indian pharmacy market, and a simulation analysis asking the hypothetical question of what the market structure would be if India granted patent protection to pharmaceutical products. The model developed for the simulation analysis explicitly accounts for the complex demand structure for pharmaceutical goods that results from the presence of therapeutic substitute drugs, and product differentiation among chemically equivalent drugs.     

Modelling and forecasting liquidity supply using semiparametric factor dynamics

We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are modelled jointly with best bid and best ask quotes using a vector error correction specification. Applying the framework to four stocks traded at the Australian Stock Exchange (ASX) in 2002, we show that the suggested model captures the spatial and temporal dependencies of the limit order book. We find spill-over effects between both sides of the market and provide evidence for short-term quote predictability. Relating the shape of the curves to variables reflecting the current state of the market, we show that the recent liquidity demand has the strongest impact. In an extensive forecasting analysis we show that the model is successful in forecasting the liquidity supply over various time horizons during a trading day. Moreover, it is shown that the model's forecasting power can be used to improve optimal order execution strategies.