133 research outputs found

    Innovation intermediaries in university-industry collaboration: analysis of online platforms

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    This paper was presented at The XXVII ISPIM Innovation Conference – Blending Tomorrow’s Innovation Vintage, Porto, Portugal on 19-22 June 2016. The full conference proceedings are available to ISPIM members at www.ispim.org.The importance of intermediation in university-industry collaboration (UIC) has been widely acknowledged, however, the phenomenon of UIC online tools is not yet studied in detail. In this paper, we examine fifteen UIC online platforms, identify their functions and role that they play in UIC. By combining secondary data with interviews with platform developers and users, we identify five main archetypes of collaborative online platforms: education-focused, knowledge transfer platforms, crowdsourcing platforms, networking tools and platforms for innovation marketing. We also present a number of the benefits the platforms bring. These tools reduce the time and resources spent establishing and managing collaborations; they help to make networking more targeted; they help to reveal the value that university research has for business and increase the adoption of university education. Our findings suggest that whilst facing some challenges, the platforms analysed represent a scalable, rapidly growing and more importantly demand-led business opportunity

    Triple helix knowledge interactions: A study of institutional, virtual and on-line intermediaries

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    Moving from a triple helix perspective, through quadruple and quintuple toward N-Tuple helices, the emphasis placed on the utility of knowledge and the effectiveness of knowledge transfer by the world’s leading economies only increases. Similarly, at an organisational level the shift toward knowledge sharing and open innovation reflects this also. Therefore, the importance of understanding the interactions between the respective stakeholders and the specific mechanism and structures being developed to facilitate and manage this activity, is imperative too. This will better enable us to maximise the potential offered to companies, universities and societies from knowledge sharing and exchange and this study focuses on one particular type of organisation operating within this intersection – intermediaries who facilitate knowledge or technology transfer. Firstly we identify a range of structural models that stakeholders from around the world have adopted to build their knowledge and technology transfer offerings. These range across institutional: through faculty-based; arms-length; peripheral; regional-virtual and virtual-online. The article discusses the relative merits of each structure before focussing in on one new and emergent mode – the virtual online platform. We then explore different on-line platforms before deriving a simple typology that begins to characterise their respective service offerings and major differentiating characteristics. Finally, the article showcases five specific offering, representing the respective typologies, before discussing their relative strengths and weaknesses and their fit with the wider structural offerings, presented in the earlier sections of the paper. The article makes a number of contributions. By identifying the respective structural configurations of intermediaries, researchers may compare and contrast each format and University senior managers can likewise consider the respective options before they select and launch their own knowledge or technology transfer office. Also by exploring and comparing the virtual online platforms, actors in the triple helix can understand how this new type of intermediation fits within the existing typologies

    The contribution of research and knowledge accumulation in the development of the Norwegian battery electric vehicle market

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    Erik Figenbaum, The contribution of research and knowledge accumulation in the development of the Norwegian battery electric vehicle market, Transportation Research Procedia, Volume 72, 2023, Pages 4127-4134, ISSN 2352-1465, https://doi.org/10.1016/j.trpro.2023.11.363.This paper investigates the role of research and knowledge building in developing the world's leading BEV market in Norway 1990-2020. Review of research articles/reports and other documents revealed that Politicians in the early years had little research-based knowledge to build decisions on. The Ministry of Transport therefore financed basic research to evaluate BEVs potential. Incentives suggested by lobbyist, were introduced at negligible cost to support testing/industrialization towards 2000 and 2010, without knowing their far-reaching future consequences. Norwegian industrialization failed by 2010. The policies started working after 2010 when OEM BEVs came. Researcher have after 2010 supported political decisions with market models and by analyzing user needs and policy effects. The early decisions should have been supported by research-based knowledge and regular policy reviews.The contribution of research and knowledge accumulation in the development of the Norwegian battery electric vehicle marketpublishedVersio

    Increasing the competitiveness of e-vehicles in Europe

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    Introduction This paper is concerned with incentives for the take-up and use of e-vehicles that are in place in different European countries. Especially, it analyses Norway and Austria, in order to establish and understand factors influencing the competitiveness of e-vehicles and potential market penetration. Norway currently enjoys the world’s largest take-up of electric cars per capita, achieved through an extensive package of incentives. Austria has used the concept of Model Regions with government support to stimulate market introduction. So far, this has been a less effective approach. Methods The paper brings in and combine analyses of national travel survey data and web surveys to e-vehicle owners and non-e-vehicle owners. It considers socio-economic factors including convenience and time savings due to e-vehicle policies. Results Analysing national travel surveys, we find a considerable potential for e-vehicles based on people’s everyday travel. Social networks play a crucial role in spreading knowledge about this relatively new technology. The take-up of battery electric vehicles correlates relatively closely with the user value of e-vehicle incentives. The fiscal effects of e-vehicle incentives are non-trivial – especially in the longer run. The cost of lifting a new technology into the market by means of government incentives is significant. We point to the importance of a strategy for the gradual phasing out of e-vehicle policies in countries with large incentives when the cost of vehicles goes down and the technology improves. Conclusions Successful market uptake and expansion of electric vehicles requires massive, expensive and combined policies. Central government backing, long term commitment and market-oriented incentives help reduce the perceived risk for market players like car importers and allow the e-vehicle market to thrive. For countries with low e-vehicle market shares the potential is promising. Battery electric vehicles are already a real option for the majority of peoples’ everyday trips and trip chains. However, their relative disadvantages must be compensated by means of incentives – at least in the initial market launch phase. Diffusion mechanisms play a sizeable role. The lack of knowledge in the population at large must be addressed

    Verdens fraktemenn. Norsk internasjonal skipsfart gjennom tusen år

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    Policy insights and modelling challenges: The case of passenger car powertrain technology transition in the European Union

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    Purpose: We are interested in what policy insights can be transferred from EU countries that have been most successful in introducing EVs to those that are debating policy options. As we use a model to explore this, we are also interested in the application of modelling, seeking to understand if real world policies and results can be replicated in a model and, more generally, the challenges to the use of modelling in policy appraisal. Methods: We use the EC-JRC Powertrain Technology Transition Market Agent Model (PTTMAM), a system dynamics model based around the interactions of conceptual market agent groups in the EU. We perform iterative scenario tests to replicate the policies carried out in the Netherlands and the UK in recent years in an attempt to achieve similar results in EV sales. We then transfer the policy scenarios to other EU member states and assess the transferability of the policies. Results: Reasonable approximations of the Netherlands and UK EV policies and sales were achieved and implemented in other EU member states. Conclusion: We find that the PTTMAM is fit-for-purpose and can replicate successful policies to a certain degree. Policy success is sensitive to country specific conditions, and a system dynamics model like the PTTMAM can help identify which conditions react to which policy stimulus. There are challenges to modelling in policy appraisal, such as the subjectivity of the modeller and flexibility to specific conditions, which must be kept transparent for the model to be a relevant tool for policy making

    Simulating the effects of tax exemptions for plug-in electric vehicles in Norway

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    Pfaffenbichler, P., Fearnley, N., Figenbaum, E. et al. Simulating the effects of tax exemptions for plug-in electric vehicles in Norway. Eur. Transp. Res. Rev. 16, 26 (2024). https://doi.org/10.1186/s12544-024-00648-yFor many years Norway has been in the forefront of promoting electromobility. Today, Norway has the world’s highest per capita fleet of plug-in electric cars. In 2021, 1.6% of the cars in the EU fleet were plug-in electric vehicles, whereas their share was 21% in Norway. Part of the successful market take-up rate is due to wide-ranging tax exemptions. Increasing plug-in electric vehicles numbers causes tax revenue losses, making exemptions unsustainable. Norway has the ambitious goal that from 2025, all newly registered cars shall be zero-emission vehicles. Keeping tax exemptions in place might be crucial for this goal. The objective of this paper is to provide information to solve this dilemma. Tax exemption reduction and abolition paths which offer a compromise between minimal effects on the development of zero-emission vehicles and tax revenues have been identified. An updated and re-calibrated version of the stock-flow-model SERAPIS was used to simulate and assess different scenarios. Results show that a controlled tax phase-in allows Norway to reach its environmental targets of 100% zero emission vehicles by 2025 and a 55% decrease of CO2-emissions in 2030 relative to 2005 while simultaneously increasing public revenues significantly.Simulating the effects of tax exemptions for plug-in electric vehicles in NorwaypublishedVersio

    Empirical Analysis of the User Needs and the Business Models in the Norwegian Charging Infrastructure Ecosystem

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    Figenbaum, E.; Wangsness, P.B.; Amundsen, A.H.; Milch, V. Empirical Analysis of the User Needs and the Business Models in the Norwegian Charging Infrastructure Ecosystem. World Electr. Veh. J. 2022, 13, 185. https://doi.org/10.3390/wevj13100185The Norwegian charging infrastructure ecosystem was investigated from a user perspective by (1) developing knowledge of end-user experiences with public charging, (2) mapping BEV owners and future owner’s user-friendliness needs and the extent to which these needs are met, (3) pointing at potential user-friendliness improvements, (4) mapping the charging infrastructure ecosystem and business models, and (5) developing scenarios for the future system development and the impact on charging infrastructure user-friendliness. The article draws on the literature, a BEV (battery electric vehicle) and ICEV (internal combustion engine vehicle) owner survey, 15 BEV owner interviews, 21 charging infrastructure actor interviews, and open information sources on the charger actors. The unregulated charging system evolved into a complex web of actors that developed their own charging networks following their individually sensible business models, which in sum led to serious user-friendliness issues. To gain access to all chargers, users need to interact with up to 20–30 apps and 13 payment systems, which comes on top of different plug types, power levels, and charger interfaces. Some actors support roaming, while others oppose it. OEMs want users to interface with chargers through the navigation system. In the future, the system will become even more complex and less user friendly as more actors join unless, e.g., consolidation, regulation, or independent network orchestrators reduce the complexity.publishedVersio

    Estimating stocks and flows of electric passenger vehicle batteries in the Norwegian fleet from 2011 to 2030

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    Retired passenger battery electric vehicles (BEVs) are expected to generate significant volumes of lithium-ion batteries (LIBs), opening business opportunities for second life and recycling. In order to evaluate these, robust estimates of the future quantity and composition of LIBs are imperative. Here, we analyzed BEV fate in the Norwegian passenger vehicle fleet and estimated the corresponding battery capacity in retired vehicles from 2011 to 2030, using a stock-flow vehicle cohort model linked to analysis of the battery types and sizes contained in different BEVs. Results based on this combination of modeled and highly disaggregated technical data show that (i) the LIB energy capacity available for second use or recycling from end-of-life vehicles is expected to reach 0.6 GWh in 2025 and 2.1 GWh in 2030 (not accounting for any losses); (ii) most LIBs are currently contained within the weight segment 1500–1599 kg followed by 2000+ kg; (iii) highest sales currently exist for BEVs containing lithium nickel manganese cobalt oxide (NMC) batteries; and (iv) lithium nickel cobalt aluminum oxide batteries initially constitute the largest overall capacity in retired vehicles, but will later be surpassed by NMCs. The results demonstrate rapidly growing opportunities for businesses to make use of retired batteries and a necessity to adapt to changing battery types and sizes.publishedVersio
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