MICROWAVE: A GENERIC FRAMEWORK FOR MICRO SIMULATIONBASED EX ANTE POLICY EVALUATION

This paper presents the MicroWave approach that has been developed to improve the process of modeling in the context of micro simulation. It leads to a more efficient model development, better quality of models and their output and improvement in knowledge management. A conceptual framework has been developed and translated into a hierarchical structure of GAMS program code. Besides, several software applications and other tools have been developed for support. These products are presented and some examples illustrate how MicroWave can be applied. MicroWave is especially useful in interdisciplinary research in which different persons are involved in the modeling process and when different models have to be combined.Research Methods/ Statistical Methods,

Zit de nieuwe Steve Jobs in de klas? Naar een betekenisvol stimuleren van ondernemingszin in het basisonderwijs

In this paper, an artificial immune system (AIS) algorithm for the resource availability cost problem (RACP) is presented, in which the total cost of the (unlimited) renewable resources required to complete the project by a pre-specified project deadline should be minimized. The AIS algorithm makes use of mechanisms inspired by the vertebrate immune system and includes different algorithmic components, such as a new fitness function, a probability function for the composition of the capacity lists, and a K-means density function in order to avoid premature convergence. All components are explained in detail and computational results for the RACP are presented

Pediatric Pneumococcal Serotypes in 4 European Countries

TOC Summary: Non–heptavalent pneumococcal conjugate vaccine serotypes have increased in Spain, France, Belgium, and England and Wales

Effecto: Op weg naar effectief ondernemerschapsonderwijs in Vlaanderen

Performance assessment of innovation projects is a central issue in innovation management research. Using existing literature, a model is developed to assess the performance of new product and new service development projects. In this model, project performance is defined as a combination of a formatively indicated operational performance construct and a reflectively indicated product performance construct. The validity of this model is tested based on a sample of 219 innovation projects assessed by innovation managers. Using only the innovation managers' responses, it is, however, not possible to distinguish between operational and product performance. The impact of common method bias and informant bias is subsequently assessed using a subsample of 128 of these 219 innovation projects that are assessed by the innovation manager and the project leader. These latter results show that operational and product performance are two distinct constructs. In addition, the multitrait–multimethod analyses show that especially the more abstract items of performance, such as the perceptions of quality, captured knowledge, competitive advantage, gained reputation, and customer satisfaction, suffer from random error and informant bias. Project leaders appear to be better informed to assess operational performance, while innovation managers are better in assessing product performance. The paper concludes with a qualitative comparison of several alternative performance models: the project performance model as derived from the literature, a similar (misspecified) reflective performance model, two stand-alone models in which operational and product performance are assessed separately, and a mixed model that uses a combination of innovation managers' and project managers' data. Based on this comparison, it is advised to use either the stand-alone models for operational performance and product performance or the mixed model whereby the project leader assesses operational performance and the innovation manager the product performance of an innovation project