Dimensions of uncertainty and their moderating effect on new product development project performance

In this study, we measure the dimensions of uncertainty, starting from the definitions constructed for and generally used in innovation projects. We then evaluate their direct and indirect effects on the performance of product and service development projects. Four dimensions of uncertainty are delimited with satisfactory validity and reliability, suggesting a differential moderating effect of the four types of uncertainty (technical and project uncertainty, market uncertainty, fuzziness and complexity) depending on the performance dimension (effectiveness and efficiency) and co‐moderator (project methods and human resource adequacy). Of the four dimensions explored, technical and project, and market uncertainty are true moderators and have the largest interactive effect, fuzziness has a strong direct effect on both performance dimensions whereas complexity weakly directly influences effectiveness. The latter two also influence the relations between performance and the factors related to human resources and project management methods.     

Competition effects in EU external aid supply tenders funded with the Pre-accession and Neighbourhood instruments

Empirica - This paper investigates empirically the competition effects on procurement costs for Europe Aid funded supply tenders in countries benefiting from the EU Pre-accession (IPA) and...     

Supra-National Money and the Euro Crisis: Lessons from Karl Polanyi

The paper seeks to examine some of the key features of Karl Polanyi’s ideas explaining the collapse of the pre-Great Depression unregulated market system by using his broad framework of analysis, as developed in The Great Transformation and published over 70 years ago, to explain the present Eurozone crisis. Emphasis is placed on the two key institutions of the pre-Depression era, namely haute finance and the gold standard, as well as his heterodox views on the nature and origin of money to shed light on the evolving crisis within the Eurozone. On the basis of Polanyi’s insights, the paper concludes that the cause of the latter crisis is similar and it lies primarily in the adoption of stateless or supra-national money that is even more restrictive on the behaviour of national authorities than the conditions imposed under the gold standard. The current situation of quasi-permanent austerity in the Eurozone is the inevitable consequence of its monetary architecture, and it will remain a long-term feature of Europe, unless significant institutional changes are put in place to bridge the gap between money and the state.     

The Relationships of Empathy,Moral Identity and Cynicism with Consumers’ Ethical Beliefs: The Mediating Role of Moral Disengagement

This study examines the relationships of empathy, moral identity and cynicism with the following dimensions of consumer ethics: the passive dimension (passively benefiting at the expense of the seller), the active/legal dimension (benefiting from questionable but legal actions), the ‘no harm, no foul’ dimension (actions that do not harm anyone directly but are considered unethical by some) and the ‘doing-good’/recycling dimension (pro-social actions). A survey of six hundred Australian consumers revealed that both empathy and moral identity were related to negative beliefs regarding the passive and the active/legal dimensions of consumer ethics and were related to positive beliefs regarding the ‘doing-good’/recycling dimension. Cynicism was related to positive beliefs regarding the passive dimension of consumer ethics and was related to negative beliefs regarding the ‘doing-good’/recycling dimension. The role of moral disengagement in mediating these relationships was examined. Empathy and moral identity were only indirectly negatively related to the ‘no harm, no foul’ dimension of consumer ethics through moral disengagement, while cynicism was indirectly positively related to this dimension through moral disengagement. Theoretical and practical implications of these findings are discussed.     

Italy’s Political Upheaval and the Consequences of Inequality

Intereconomics - Political upheaval, with the dangerous rise of the far right – in Italy and Europe – is likely to be stabilised when politics and policies again turn their attention to...     

Heterogeneous Firms,Globalisation and the Distance Puzzle

Despite the strong pace of globalisation, the distance effect on trade is persistent or even growing over time (Disdier and Head, 2008). To solve this distance puzzle, we use the recently developed gravity equation estimator from Helpman et al. (2008) (HMR henceforth). Using three different data sets, we find that the distance coefficient increases over time when ordinary least squares (OLS) is used, while the non‐linear estimation of HMR leads to a decline in the distance coefficient over time. The distance puzzle, thus, arises from a growing bias of OLS estimates. The latter is explained by an increase in the importance of the bias from omitting the number of heterogeneous exporting firms relative to the bias from omitting zero trade flows. Furthermore, we show that including zero trade flows cannot solve the distance puzzle when using HMR. The HMR estimates are strongly correlated with the time pattern in freight costs reported by Hummels (2007).     

Multi-product capacitated facility location problem with general production and building costs

This research introduces the multi-product capacitated facility location problem with general production and building costs (MP-CFLPGC). The MP-CFLPGC extends previous problems found in the literature by including multiple products and general production and building cost functions that allow the modeling of different behaviors like economies of scale and congestion. The MP-CFLPGC is formulated as a mixed integer linear program (MILP). To evaluate the performance of the proposed formulation we analyze the results of a commercial optimizer on a set of 288 randomly generated test instances that resemble the Colombian cement industry supply chain. After one hour the optimizer achieved an optimality gap of 1.0 % or less in 55 % out of the 288 test instances. On average the optimality gap was 3.57 %. Additionally, we propose a randomized mathematical-programming-based heuristic for the test instances where the MILP formulation presents significantly high optimality gaps.