A modeling methodology for collaborative evaluation of future automotive innovations

Author(s):  
Maher Fakih ◽  
Oliver Klemp ◽  
Stefan Puch ◽  
Kim Grüttner
2019 ◽  
Author(s):  
Robin Glebes ◽  
Joshua Dustin ◽  
Jan-Anders Mansson

Author(s):  
Victor L. Shabanov ◽  
Marianna Ya Vasilchenko ◽  
Elena A. Derunova ◽  
Andrey P. Potapov

The aim of the work is to find relevant indicators for assessing the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports using tools for modeling the impact of innovation and investment development on increasing production and export potential in the context of the formation of an export-oriented agricultural economy. The modeling methodology and the proposed estimating and forecasting tools for diagnosing and monitoring the state of sectoral and regional innovative agricultural systems are used to analyze the relationship between investments in fixed assets in agriculture, gross output of the industry, and agricultural exports based on the construction of the classification of Russian regions by factors that aggregate these features to diagnose incongruence problems and to improve institutional management in regional innovative export-oriented agrosystems. Based on the results of the factor analysis application, an underestimated role of indicators of investment in agriculture, the intensity and efficiency of agricultural production, were established. Based on the results of the cluster analysis, the established five groups of regions were identified, with significant differences in the level of investment in agriculture, the volume of production of the main types of agricultural products, and the export and exported food. The research results are of practical value for use in improving institutional management when planning reforms and transformations of regional innovative agrosystems.


2021 ◽  
pp. 001316442110086
Author(s):  
Tenko Raykov ◽  
Natalja Menold ◽  
Jane Leer

Two- and three-level designs in educational and psychological research can involve entire populations of Level-3 and possibly Level-2 units, such as schools and educational districts nested within a given state, or neighborhoods and counties in a state. Such a design is of increasing relevance in empirical research owing to the growing popularity of large-scale studies in these and cognate disciplines. The present note discusses a readily applicable procedure for point-and-interval estimation of the proportions of second- and third-level variances in such multilevel settings, which may also be employed in model choice considerations regarding ensuing analyses for response variables of interest. The method is developed within the framework of the latent variable modeling methodology, is readily utilized with widely used software, and is illustrated with an example.


2007 ◽  
Vol 2 (3) ◽  
pp. 62-79
Author(s):  
Olivier Braet ◽  
Pieter Ballon

This article critically appraises business model challenges in implementing remote management functionalities. Remote management is believed to create new service opportunities and foster convergence between previously dissociated islands of end user devices. Conflicting business logics from disparate industries, however, run counter to this attempt at centralization. We introduce a generic business modeling methodology that aims to move beyond traditional ICT investment appraisal techniques by combining four critical dimensions of design. We develop four business model scenarios based on the organizational design choice of ‘degree of vertical integration’ and the product design choices of ‘degree of product modularity’ and ‘distribution of intelligence’ and offer a description of the effect of these design choices on the intended customer value.


Sign in / Sign up

Export Citation Format

Share Document