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Het in samenwerking verzamelen, koppelen en transformeren van ruwe data tot actiegericht advies dat de logistieke stromen efficiënter maakt is technisch en praktisch al een hele uitdaging. Maar, wat als dat lukt? Om straks tot een schaalbare datagedreven dienst te komen moeten we nu al een aantal stappen extra zetten. Hoe ziet de dienst eruit? Wie kan hem exploiteren? Wat levert het op, voor wie? Hoe kunnen we opschalen vanuit de huidige samenwerking? TNO keek naar de Use Cases vanuit de SDFI Innovatiemethodiek (2016) en vanuit innovatiemanagement en service business model perspectief. Dit levert aan de ene kant bevestiging op dat we met elkaar op het goede pad zitten, en de resultaten onderstrepen dit ook, en aan de andere kant ook een aantal forse uitdagingen waar we samen voor staan. Kunnen we al denken aan een business model, als we het prototype datadienst nog niet hebben kunnen uitproberen? Wat is het verschil in impact tussen het hebben van inzicht en informatie over betrouwbaarheid en daadwerkelijk realiseren van efficiency en emissiereductie? Hoe kunnen we effectief omgaan met de afhankelijkheden die we van elkaar hebben in de exploratiefase en daarna?

A test bed is an experimental development facility – a chain of test facilities – that is used to test ITS applications. In the ITS Test Beds project a European test bed is set up. The bundling of tests into one test bed environment brings together stakeholders, creates a one-stop shop for testing and integrates knowledge and experience within Europe. Part of the European test bed that is being set up is the societal assessment tool chain developed by TNO, which looks at the societal impacts of ITS applications. This concerns impacts of ITS on traffic safety, traffic efficiency and the environment, their translation into costs and benefits, and the corresponding business models. The tool chain assesses these aspects in an integrated way. In this paper the tools and the links between them are described. After this the tool chain is applied to an ITS application

Radio spectrum and network infrastructure are two essential resources for mobile service delivery, which are both costly and increasingly scarce. In this paper we consider drivers and barriers of network sharing, which is seen as a potential solution for scarcity in these resources. We considered a full sharing scenario for a Mobile Network Operator using the Business Model Canvas method, and concluded that options for technological differentiation may be limited which in turn leads to increased competition between existing players. ©2010 IEEE.

No Mobile Network Operator (MNO) will make the decision to share its network lightly. There are many financial and strategic considerations to this question. In this paper we outline a non-cooperative game which can be used to model the strategic decision of an MNO regarding mobile network sharing in a typical oligopoly telecom market. We make an estimation of the financial considerations, as an illustration of how this question can be approached. Because our model uses preference orderings of outcomes to establish equilibria, it allows for a quick exploration of the positions regarding sharing. This is helpful for both operators and regulators to evaluate strategy and policy.

Orchestrating Innovation increases the probability of success, minimizing the probability of failure of technological innovations by creating sustained societal and economic value. Orchestrating innovation propagates to take into account and actively involve all relevant stakeholders of the (future) ecosystem in which the innovation will, can or has to be adopted.

This research employs an extensive multiple case studies analysis to identify the most important business models affecting supply chain configurations and related enabling technologies towards the creation of collaborative networks. The results obtained from the investigation of 24 companies of manufacturing and process industry, informed by literature, identify four ‘design principles’ of business models, i.e. Personalized production, Servitization, Decentralized and modular production, and Recycle, Re-use and Sustainability. Each model is further described and discussed at the interplay between digitalization and collaborative network practices at supply chain level, showing that adopting one or a combination of the four design principles allows to actuate some of the most important features of collaboration like Vertical integration or networking of smart production systems, Horizontal integration through global value chain networks, Through-engineering across the entire value chain, Acceleration of manufacturing and Digitalization of products and services. © IFIP International Federation for Information Processing 2019.

In this paper we address the techno-economic dilemma in the fuzzy front end of R&D consortia: how to bridge the gap between the lack of knowledge on future demand for a technology and the need to make design decisions. The problem in these types of collaborations that the business interests to develop this technology differs per consortium member, and the technology developed consists of a heterogeneous set of technological components that need to be integrated. A business modelling methodology is proposed to deal with issues, and aims to deliver a comprehensive range of techno-economic design choices in terms of service concepts as well as system design. This paper describes this methodology and the results from its first validation in the long term R&D project FascinatE.

In business analysis, models are sometimes oversimplified. We pragmatically approach many problems with a single financial objective and include monetary values for non-monetary variables. We enforce constraints which may not be as strict in reality. Based on a case in distributed energy production, we illustrate how we can avoid simplification by modeling multiple objectives, solving it with an NSGA-II algorithm with a novel comparison operator. Advantages include a strengthened focus on the trade-off relation between financial and non-monetary objectives. We conclude that this approach is very applicable in a business analysis setting. © 2010 IEEE.

The convergence between media, internet and telecoms has brought many new services, devices and distribution models. The availability of multiple routes for delivery of services to end users helps to remove a number of traditional bottlenecks. At the same time, new bottlenecks can appear as the routes bring new technical and business dependencies between organisations in the value web. The dynamics in the value web are also affected by various types of regulation. This is one of the challenges that policy makers and regulators face when they aim to adapt regulation to technical and business developments. In this white paper, we introduce the DAMIAN method that TNO has developed for the systematic analysis of the converged value web, including the effects of regulation. This is done by identifying the roles that organisations have, their roles and activities, the markets in which they operate, the assets that they own and the assets that they need to obtain from other organisations.