6 research outputs found
Agricultural Production and Externalities Simulator (APES) prototype to be used in Prototype 1 of SEAMLESS-IF
The Agricultural Production and Externalities Simulator is a modular simulation system targeted at estimating the biophysical behaviour of agricultural production systems in response to the interaction of soil-weather and different options of agro-technical management. APES is currently meant to be used at field scale, simulating 1-D fluxes (future version will also use 2-D fluxes to account for multiple cropping). All modules of this release are first prototypes linked to test the hypothesis on the component based structure and to evaluate consequent modelling and technical issues; outputs should not be analyzed to evaluate model performance at this stage
Library of model components for process simulation relevant to production activities, Prototype 1 versions
Library of model components for process simulation relevant to production activities, Prototype 1 versions
Comparing the generalizability of online and mail surveys in cross-national service quality research
To compare the generalizability of online and mail surveys in a cross-national service quality study, the authors use G-theory and find a comparable level of generalizability, though online surveys benefited from considerably lower costs. This article contributes to the current comparison of the response quality between online and mail surveys. Furthermore, the authors illustrate how G-theory can be used to compare online and mail surveys and take data collection costs into account. Important implications include the process and results of comparing two survey modes and the effects for service research. Copyright Springer Science + Business Media, Inc. 2006Online marketing research, Response quality, Generalizability theory,