Growth of born globals: the role of the entrepreneur’s personal factors and venture capital

This paper examines to what extent the human capital of entrepreneurs and the receipt of venture capital (VC) financing affect the growth of born globals (BGs). The study analyzes a sample of 242 BGs resulting from a survey on high-tech start-ups operating in the ICT and electronics sectors, located in different countries throughout the world. A multivariate explorative analysis controlling for the endogenous nature of VC is conducted. The results indicate that the experience of the entrepreneur in having previously established another entrepreneurial firm positively affects the growth of BGs. A negative effect is associated with the presence of heterogeneity in the management team in terms of education background. With regard to the linkage between financial capital and growth, it is found that both VC financing and the number of founders (a proxy for the availability internal capital) positively influence the growth of BGs.     

Bounds for the mean residual life function of a <Emphasis Type="Italic">k</Emphasis>-out-of-<Emphasis Type="Italic">n</Emphasis> system

In the reliability studies, k-out-of-n systems play an important role. In this paper, we consider sharp bounds for the mean residual life function of a k-out-of-n system consisting of n identical components with independent lifetimes having a common distribution function F, measured in location and scale units of the residual life random variable X _t  = (X−t|X > t). We characterize the probability distributions for which the bounds are attained. We also evaluate the so obtained bounds numerically for various choices of k and n.     

Allocative efficiency of rural water supply – a globally flexible SGM cost frontier

This contribution investigates the efficiency of water suppliers in rural areas of East and West Germany. A non-radial measure of input specific allocative inefficiency is used to reduce the distributional dependency with respect to the inefficiency parameters. It is based on the demand system of a flexible cost function for the variable inputs labour, energy and chemicals modelled by applying a modified symmetric generalized McFadden functional form. Concavity restrictions, as required by economic theory, are imposed. The analysis reveals that efforts towards increasing suppliers’ allocative efficiency should focus on the relatively inefficient usage of the input chemicals. The input specific allocative model specification was found to be superior to the overall allocative specification.

$$\mathcal{D}$$-optimal Minimum Support Mixture Designs in Blocks

An easy method to construct efficient blocked mixture experiments in the presence of fixed and/or random blocks is presented. The method can be used when qualitative variables are involved in a mixture experiment as well. The resulting designs are -optimal in the class of minimum support designs. It is illustrated that the minimum support designs are more efficient than orthogonally blocked mixture experiments presented in the literature and only slightly less efficient than -optimal designs.     

A note on least squares estimation and the blue in a generalized linear regression model

In a generalized linear regression model, least squares and Gauss-Markov estimators differ, in general, if the variance-covariance matrix of the disturbances is singular. In the present note it is shown that, nevertheless, the conventional least squares procedure leads to a Gauss-Markov estimator if it is applied to a modified model which results from adding dummy constraints to the original model. These constraints reflect the effects of the singularity of the variance- convariance matrix. As a consequence, a Gauss-Markov estimate may always be obtained by standard least squares minimization, which offers considerable computational advantages.     

Earthquake triggered networked risk and response: based on relevant literature

Death, injury, conflict, and disorder caused by natural and man-made disasters have resulted in significant challenges to good governance and impeded the goal of achieving the benign development of society. This paper uses a particular method for analyzing the research situation and identifying current trends and focuses. It then proceeds to explore future research needs. The study finds that future researchers will shift their emphasis from the risks caused by natural disasters to those arising from man-made disasters; meanwhile, the study will consider the complex systems of interaction to understand causality. The objectives of management, hence, should change from investigating the impacts of risks to crisis control. Eventually, an evolutionary disaster-based social-risk framework is established, and some suggestions for future research are provided.     

Rush,delay or money burning: Informational biases in policy decisions

We examine the consequences when the public is unsure about the ability of governments to foresee the effects of decisions. Governments with much information should invest either immediately or never. Governments that are not well informed should wait for better information. But since governments want to signal their abilities to solve problems, we observe rash decisions and problems are portrayed as crises. We also show that excessive delay can occur. Delay or rush occur even if there is very little uncertainty about abilities of governments. We discuss three institutional rules to alleviate the rush and delay bias: Limiting expenditures before elections, experimental clauses or money burning.