GDPR: A Step Towards a User-centric Internet?

While the potential empowering impact of the GDPR is huge, we argue that the ambivalent attitudes of users towards data protection, as well as the risk of differentiation of legal practice among member states, can seriously limit the real effects of the privacy reform.     

Adaptation and Performance in New Businesses: Understanding the Moderating Effects of Independence and Industry

New ventures as well as new business units experience significant difficulties in finding a viable business model. They often need to adapt their initial business model due to the presence of uncertainty and ambiguity. Technology-based companies are confronted with particularly high degrees of uncertainty and ambiguity. We hypothesize that adaptation is crucial for the performance (measured as survival) of these businesses, but that this effect is moderated by the (in)dependence of the new technology-based business and by the industry in which it is active. We test the adaptation-performance hypothesis through a survival analysis of a sample of 117 independent new ventures and business units. Our findings suggest that adaptation is beneficial in less mature, capital-intensive and high-velocity industries but not so in more mature, stable industries. Also, adaptation reduces failure rates in dependent business units as compared to independent ventures.     

The influence of the political environment and destination governance on sustainable tourism development: a study of Bled,Slovenia

In the context of sustainable tourism development, there are many studies about the exchange process between residents and tourism, yet this issue is practically unexplored with respect to the political environment of tourism. Therefore, this paper introduces and posits that the political environment is a necessary enabler for implementing sustainable tourism. The authors extend the established three-pillar sustainability concept by adding in the political dimension. Then they surveyed how residents' positive and negative perceptions of tourism impacts determine their satisfaction with life in the tourism destination and thus their support for tourism in their community. The model was empirically tested within the context of the long-established Alpine destination of Bled in Slovenia. The findings confirm the importance of the political environment and question the sustainability of Bled's tourism development. It is suggested that the community has relatively weak destination governance due to the underdeveloped political environment. The survey expands and deepens the tourism sustainability debate by adding in the political environment and how it relates to the emerging growth of research on destination governance. The proposed model can be adapted and applied to any destination in order to improve its governance, including the implementation of sustainable tourism development.     

On measuring skewness and kurtosis

The paper considers some properties of measures of asymmetry and peakedness of one dimensional distributions. It points to some misconceptions of the first and the second Pearson coefficients, the measures of asymetry and shape, that frequently occur in introductory textbooks. Also it presents different ways for obtaining the estimated values for the coefficients of skewness and kurtosis and statistical tests which include them.     

The development of contract research organisations in Sweden: health care,privatisation and neo‐liberalism

This paper examines changes in local working conditions instigated by the development of contract research organisations in pharmaceutical development. These developments are seen as occurring in the context of Sweden's ‘circumscribed neoliberalization’. It is shown how staff remain ambivalent about the shifts of location and identity that these developments imply.     

Variable neighborhood search heuristic for nonconvex portfolio optimization

Abstract

In this article we consider a portfolio optimization problem under multiple real-world constraints, such as: cardinality constraints, tracking error, active share, and turnover. We propose a heuristic based on variable neighborhood search (VNS) that effectively addresses additional constraints that introduce non-convexities. In the VNS-based heuristic, several neighborhood structures are introduced and fast local search is implemented. We develop a VNS portfolio rebalancing framework (VNS-PRF) with two rebalance strategies. Data sets provided by a financial investment firm are used to evaluate the validity and reliability of the proposed VNS-PRF. Computational experiments and different portfolio performance measures indicate that our approach is able to obtain solutions with competitive quality and can be applied on large-scale data sets.     

Matching As An Econometric Evaluation Estimator

This paper develops the method of matching as an econometric evaluation estimator. A rigorous distribution theory for kernel-based matching is presented. The method of matching is extended to more general conditions than the ones assumed in the statistical literature on the topic. We focus on the method of propensity score matching and show that it is not necessarily better, in the sense of reducing the variance of the resulting estimator, to use the propensity score method even if propensity score is known. We extend the statistical literature on the propensity score by considering the case when it is estimated both parametrically and nonparametrically. We examine the benefits of separability and exclusion restrictions in improving the efficiency of the estimator. Our methods also apply to the econometric selection bias estimator.