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How to improve the process of forming biobased R&D collaborations

机译:如何改进形成生物研发合作的过程

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摘要

The transition towards a biobased economy requires innovations. In addition to the usual challenges of innovation trajectories, the characteristics of biobased innovations cause extra difficulties. To lower the failure rate of innovation trajectories in general, companies tend to form R&D collaborations. Choices made during the formation of such R&D collaborations play a key role in the project's success. Here, one may benefit from the social sciences. This paper presents a perspective on what the social sciences may bring to analyze and improve the formation process of biobased R&D collaborations. The paper also provides an overview of relevant innovation and transition models, and lists the dominant variables in such formation processes (biobased characteristics and general determinants), and the guidelines that seem useful. Although each model has its advantages, none of the innovation and transition models studied addresses both thephases of a formation processof a biobased R&D collaboration and thevariablesinvolved in each phase. Concerning the formation process of biobased R&D collaborations, the literature addresses social, organizational, technological, economic, and environmental variables. The key determinants of multi-partner R&D collaborations are partner properties, motives to join a consortium, appropriability of a firm, and project properties. The descriptions of their influence on an R&D collaboration presented here can be used as guidelines, as recommendations, in processes for the formation of relatively less complex R&D collaborations. The influence of biobased characteristics - such as type of innovation (drop-ins versus novel materials), biorefinery, biomass supply and technological challenges - on R&D collaboration have not been studied systematically as yet. (c) 2020 The Authors. Biofuels, Bioproducts, and Biorefining published by Society of Chemical Industry and John Wiley & Sons, Ltd
机译:向生物经济的过渡需要创新。除了常规挑战的创新轨迹外,生物化创新的特点会导致额外的困难。为了降低创新轨迹的失败率,公司倾向于形成研发合作。在形成这些研发合作期间制作的选择在项目的成功中发挥着关键作用。在这里,人们可以从社会科学中受益。本文介绍了社会科学可能带来分析和改进生物研发合作的形成过程的观点。本文还概述了相关的创新和过渡模型,并列出了这种形成过程中的主要变量(生物化特征和一般决定因素),以及似乎有用的指导方针。虽然每个模型都有其优势,但研究的创新和转换模型都没有研究地址在每个阶段中的生物研发协作和TheVariablesInvolve的构建过程的两个障碍。关于Biobased研发协作的形成过程,文献解决了社会,组织,技术,经济和环境变量。多合作伙伴研发合作的关键决定因素是合作伙伴属性,加入财团的动机,公司的适当性和项目属性。它们对这里呈现的研发协作的影响的描述可作为形成相对较少的复杂性研发协作的方法作为指导原则。生物化特征 - 例如创新类型(滴INS与新颖材料),生物遗料,生物量供应和技术挑战 - 对研发协作尚未得到系统研究。 (c)2020作者。由化学工业和约翰瓦里和儿子,LTD发表的生物燃料,生物化源和生物融合

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