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on Project, Program and Portfolio Management |
| By: | Julien Ambrosino (ESTIA Recherche - Ecole Supérieure des Technologies Industrielles Avancées (ESTIA), IMS - Laboratoire de l'intégration, du matériau au système - Université Sciences et Technologies - Bordeaux 1 - Institut Polytechnique de Bordeaux - CNRS - Centre National de la Recherche Scientifique); Dimitri Masson (ESTIA Recherche - Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)); Abi Akle (ESTIA Recherche - Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)); Jérémy Legardeur (IMS - Laboratoire de l'intégration, du matériau au système - Université Sciences et Technologies - Bordeaux 1 - Institut Polytechnique de Bordeaux - CNRS - Centre National de la Recherche Scientifique, ESTIA Recherche - Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)) |
| Abstract: | In the context of the emergence of collaborative innovation projects between competitiveness clusters, the animation of creative sessions permits to identify new opportunities. The number of ideas generated is a lot more important than the number of collaborative innovation projects implemented subsequently. To improve this ratio, we verify that group discussions could be facilitated by improving the ideation and evaluation phases of ideas during innovation process. Especially, in this article, we test many hypotheses in order to show that divergence of opinions can foster collaborative project emergence. |
| Abstract: | Dans le contexte de l'émergence de projets d'innovation collaborative entre les clusters et les pôles de compétitivité, l'animation d'ateliers de créativité permet d'identifier de nouvelles opportunités. Le nombre d'idées générées est beaucoup plus important que le nombre de projets d'innovation collaborative mis en œuvre par la suite. Pour améliorer ce ratio, nous vérifions que les discussions de groupe pourraient être facilitées en améliorant les phases d'idées et d'évaluation des idées au cours du processus d'innovation. Surtout, dans cet article, nous testons de nombreuses hypothèses afin de montrer que la divergence d'opinions peut favoriser l'émergence d'un projet collaboratif. |
| Keywords: | Cluster,Collaborative design,Creativity,Evaluation,Innovation |
| Date: | 2017–08–21 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-01577761&r=ppm |
| By: | Michael Fritsch (FSU Jena); Mirko Titze (Halle Institute for Economic Research (IWH), Germany); Matthias Piontek (Friedrich Schiller University Jena, Germany) |
| Abstract: | The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data. |
| Keywords: | Knowledge interactions, social network analysis, regional innovation systems, data sources |
| JEL: | O30 R12 R30 |
| Date: | 2018–01–08 |
| URL: | http://d.repec.org/n?u=RePEc:jrp:jrpwrp:2018-003&r=ppm |
| By: | Mario Le Glatin (CGS i3 - Centre de Gestion Scientifique i3 - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University - CNRS - Centre National de la Recherche Scientifique); Pascal Le Masson (CGS i3 - Centre de Gestion Scientifique i3 - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University - CNRS - Centre National de la Recherche Scientifique); Benoit Weil (CGS i3 - Centre de Gestion Scientifique i3 - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | Organisations trying to innovate, despite being naturally encouraged to use project management and associated rational theories of choice, will necessarily experiment in some way or another due to the high levels of uncertainty and the unknown to be discovered. Exploratory project management may face situations requiring a constant reconfiguration of beliefs and hypotheses as a reaction to external factors. In this paper, we propose to discuss the existence of a generative rationality breaking away from classical decision theory by deliberately reversing preferences and designing decisions. |
| Keywords: | decision,design,project,innovation,preferences reversal,rationality,generative |
| Date: | 2017 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-01674309&r=ppm |
| By: | Antoine Thuillier (DRM - Dauphine Recherches en Management - Université Paris-Dauphine - CNRS - Centre National de la Recherche Scientifique); Matthew Fuller (DRM - Dauphine Recherches en Management - Université Paris-Dauphine - CNRS - Centre National de la Recherche Scientifique); Albert David (DRM - Dauphine Recherches en Management - Université Paris-Dauphine - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | Startup companies face many challenges in the early years of their existence. During these critical stages, they are often required to convince decision makers to allocate critical resources to themto obtain venture capital, support from a startup incubator, orgovernment subsidies |
| Keywords: | startups,design theory,conceptual architecture,pitch presentation,new product development,creativity |
| Date: | 2017–06 |
| URL: | http://d.repec.org/n?u=RePEc:hal:journl:hal-01629693&r=ppm |
| By: | Beck, Mathias (ETH Zurich); Junge, Martin; Kaiser, Ulrich (University of Zurich) |
| Abstract: | We review and condense the body of literature on the economic returns of public R&D on private R&D and find that: (i) private returns to R&D appear to be large and larger than the returns to alternative investments; (ii) private R&D and R&D subsidies are positively correlated and there is no evidence for crowding out; (iii) R&D cooperation increases private R&D; (iv) there appear to exist complementarities between alternative sources of funding; (v) the mobility of R&D workers, particularly of university scientists, is positively related to innovation; (vi) there are many university spin-offs but these are no more successful than non-university spin-offs; (vii) universities constitute important collaboration partners and (viii) clusters enhance collaboration, patents and productivity. Key problems for economic policy advice are that the identification of causal effects is problematic in most studies and that little is known about the optimal design of policy measures. |
| Keywords: | R&D subsidies, R&D tax credits, cooperation, labor mobility, returns to R&D, university spin-offs, R&D clusters, public-private knowledge transfer |
| JEL: | C54 J6 I28 O3 L52 |
| Date: | 2017–12 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp11196&r=ppm |
| By: | Jörn Richstein |
| Abstract: | Low and uncertain carbon prices are often stated as a major obstacle for industrial sector investments in technologies to deliver deep emissions reductions. Project-based carbon contracts underwritten by national governments could addressregulatory risk, lower financing costs and strengthen incentives for emission reductions at investment and operation stage. In this paper design options for project-based carbon contracts are assessed using an analytical model capturing risk aversion of investors with a meanvariance utility function. The model is also used to assess how a combination with grant support for innovative projects can minimize overall costs of innovation policy. Savings in financing costs are quantified using a stylized project finance cash flow analysis. |
| Keywords: | Emission trading systems, carbon contract, innovation support |
| JEL: | D81 Q48 Q54 Q55 Q58 O38 |
| Date: | 2017 |
| URL: | http://d.repec.org/n?u=RePEc:diw:diwwpp:dp1714&r=ppm |