Ownership identity, strategy and performance:business group affiliates versus independent firms in India

We consider whether the impact of entrepreneurial orientation on business performance is moderated by the company affiliation with business groups. Within business groups, we explore the trade-off between inter-firm insurance that enables risk-taking, and inefficient resource allocation. Risk-taking in group affiliated firms leads to higher performance, compared to independent firms, but the impact of proactivity is attenuated. Utilizing Indian data, we show that risk-taking may undermine rather than improve business performance, but this effect is not present in business groups. Proactivity enhances performance, but less so in business groups. Firms can also enhance performance by technological knowledge acquisition, but these effects are not significantly different for various ownership categories

A Multidimensional, Comparative Analysis of the Regional Entrepreneurship Performance in the Central and Eastern European EU Member Countries

Entrepreneurship research has changed considerably over the last 30 years, and today entrepreneurship is widely accepted as a major driving force of economic development, of the creation of employment and of innovation (Acs et al. 2008, 2009; Carree and Thurik 2003; Braunerhjelm et al. 2010; Lazear 2004). However, the dynamics of the effect of entrepreneurship are very diverse and depend on many factors such as the development level of the home country and the institutional context (Acs et al. 2008). Whilst previous studies on entrepreneurship have focused on examining the role of entrepreneurial activity and start-up rates, recent research has shown that not all entrepreneurial activity is effective. High growth rates, such as those achieved by innovative gazelle companies, are responsible for the bulk of new job creation and growth, whilst other non-innovative or traditional businesses have only minor economic influence (Acs and Mueller 2008; Baumol 1996; Wong et al. 2005)

Computational Homogenization of Architectured Materials

Architectured materials involve geometrically engineered distributions of microstructural phases at a scale comparable to the scale of the component, thus calling for new models in order to determine the effective properties of materials. The present chapter aims at providing such models, in the case of mechanical properties. As a matter of fact, one engineering challenge is to predict the effective properties of such materials; computational homogenization using finite element analysis is a powerful tool to do so. Homogenized behavior of architectured materials can thus be used in large structural computations, hence enabling the dissemination of architectured materials in the industry. Furthermore, computational homogenization is the basis for computational topology optimization which will give rise to the next generation of architectured materials. This chapter covers the computational homogenization of periodic architectured materials in elasticity and plasticity, as well as the homogenization and representativity of random architectured materials

Labor-managed cooperatives and private firms in North Central Italy: an empirical comparison

The authors compare the behavior of private firms with that of producer cooperatives in a matched sample of the two organizational types in Italy. Differences are found in labor relations, employment, pay, production methods, the relationship to the external market environment, and the level of economic performance. The authors find no significant differences in investment horizons or criteria for finance, despite theoretical assertions to the contrary. The cooperatives apparently have higher productivity, more labor-intensive production methods, lower income differentials, and a more tranquil industrial-relations environment than the private firms

Global entrepreneurship and institutions : an introduction

This article is an introduction to the special issue from the 4th Global Entrepreneurship Monitor Research Conference held at Imperial College Business School, London, in 2010. The article has two objectives. The first is to summarize the history of the GEM consortium, some of the contributions that it has delivered, and some challenges and opportunities ahead. The second is to present a summary of the papers in the context of the utility of GEM data in comparative entrepreneurship research