
INTELSPACE AE
INTELSPACE AE
3 Projects, page 1 of 1
assignment_turned_in Project2012 - 2014Partners:KEMA NEDERLAND BV, UAB, LGI, ATOS SPAIN SA, FHG +4 partnersKEMA NEDERLAND BV,UAB,LGI,ATOS SPAIN SA,FHG,TTI,INTELSPACE AE,UNITS,Asociación Española de Fabricantes de Equipos y Componentes para AutomociónFunder: European Commission Project Code: 314263more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2016 - 2019Partners:Steinbeis 2i GmbH, TTS Italia, ATOS SPAIN SA, ISINNOVA, UAB +5 partnersSteinbeis 2i GmbH,TTS Italia,ATOS SPAIN SA,ISINNOVA,UAB,CUE,CE,ORTELIO LTD,SIG,INTELSPACE AEFunder: European Commission Project Code: 723974Overall Budget: 1,976,000 EURFunder Contribution: 1,976,000 EURThe overall objective of the NEWBITS project is to provide with a deep understanding of the changing conditions and dynamics that affect and/or influence C-ITS innovations. New KPIs will be designed to feed reactive and network oriented value creation propositions that improve the collaborative decision-making process across the various stakeholders. This improved value definition must minimize the failures inherent to (C-) ITS innovation diffusion, evolve present business models, and identify effective incentives to accelerate (C-) ITS deployment. To support its main goal, the project proposes to apply a business ecosystem approach for (C-) ITS which acknowledges the context of economics of networks by introducing a higher conceptual level than that of individual organisations, focusing at how organisations create value within the context of the networks in which they interoperate. NEWBITS consortium will design and implement a holistic intelligence process that will gather key information and indicators on market, demand, stakeholder’s involvement and innovation diffusion for ITS and C-ITS. Furthermore, the project will develop a tailored application of the Value Network Analysis (VNA) business modelling method, which enables to model value networks, either internal or external to the organizations acting in the business ecosystems. NEWBITS method will be applied at macro-level (ITS and C-ITS context and market) and the meso-level (upon 4 pre-selected case studies). NEWBITS will configure Communities of Interest to foster a fully integrated network approach to the business modeling and develop a web-based network platform to support the project approach. NEWBITS will formalise the enhanced understanding of the potential system benefits and fundamental economics of new business models suited to C-ITS in the European context, and develop relevant outcomes to support policy measures towards C-ITS deployment.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2016 - 2018Partners:University of Edinburgh, Edinburgh Napier University, INNOVA INTEGRA LIMITED, AALTO, EIM +8 partnersUniversity of Edinburgh,Edinburgh Napier University,INNOVA INTEGRA LIMITED,AALTO,EIM,Slovak Business Agency,RTDI,European Future Innovation System centre,Aristotle University of Thessaloniki,REGION OF CENTRAL MACEDONIA,FELLNHOFER INNOVATIONSBERATUNG,INTELSPACE AE,Research and Innovation Management GmbHFunder: European Commission Project Code: 710659Overall Budget: 3,889,000 EURFunder Contribution: 3,889,000 EURThis project aims to develop an e-policy platform augmented with a toolbox of applications and online services, which will assist national and regional authorities in the EU in elaborating or revising their smart specialisation agenda, in terms of policies and strategy. The platform will leverage existing methodologies, initiatives and tools developed by the EC for the RIS3 strategy, but it will also investigate, develop and test new and innovative technologies, tools and services aiming to strengthen the European capacity for knowledge-based policy advice. The platform and the accompanied services will constitute an online mechanism for policy advice, integrated with a well-defined, commonly accepted and broadly used methodology for regional policy (RIS3 Guide). Data and sources of information to feed the platform and the services will be collected from institutional websites, RSS feeds, online databases, newsgroups and web forums, social networks data, web analytics, content management systems, measurement scoreboards, focus groups, and other online mechanisms for collaboration and policy co-design, and assessment. Taken together, these elements and architecture of integration will offer online all the necessary tools, methods, and roadmap to assist the elaboration, implementation, and impact analysis of smart specialisation policies.
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