Replication and translation of co-innovation: The influence of institutional context in large international participatory research projects

Stakeholder involvement in research processes is widely seen as essential to enhance the applicability of research. A common conclusion in the extensive body of literature on participatory and transdisciplinary research is the importance of the institutional context for understanding the dynamics and effectiveness of participatory projects. The role of institutional context has become increasingly important in view of large international research projects implementing shared participatory methodologies across countries (for example within Horizon 2020 and within CGIAR programmes), which each have different institutional contexts. Despite the generally accepted importance of the institutional context for understanding the unfolding of participatory and transdisciplinary research projects, surprisingly little research has actually looked into its role in greater detail. This paper aims to fill this gap in the literature by studying how a set of participatory principles and methods in a European project on integrated pest management (denoted as co-innovation in the project under study) was applied by researchers and advisers operating in a single international research project under the institutional conditions of four countries. The principal finding of this study is that, although constraints and enablers of participatory research at the personal level (e.g. researcher identity) were similar across the studied countries, research organisation- and community-based constraints and enablers differed, as well as those at the level of the overall innovation system. The institutions at different levels interact and create country-specific histories and path-dependencies, which lead to different degrees of propensity and preparedness, and hence different starting positions for participatory approaches. Consequently, when participatory research methods and approaches are applied in different contexts following a one-size-fits-all approach they may be less effective if not translated to institutional conditions at different levels. The study suggests that large international participatory research projects make provision in their design for careful selection of project team individuals, the composition of teams, and pay attention to the room for manoeuvre that the project, institute and national contexts provide for participatory research. To support the adjustment of participatory approaches to local institutional conditions, large international projects would benefit from fostering learning spaces that enable reflection on translation to local contexts and are capable of connecting to a wider network of decision makers and influencers that can facilitate institutional change in organisations and innovation systems.     

创业情境下管理强度与创业绩效关系探讨:团队合作的中介效应

创业活动以其良好的经济与社会效益越来越受到重视,创业过程的核心是创业要素之间的动态匹配。为诠释创业理念在创业者和创业成员之间的匹配,结合创业者特质和成熟企业管理制度演化两种理论视角,提出了创业情境下管理强度的概念,并构建了其与团队合作、新创企业绩效之间的理论模型。通过107份预测试问卷和171份正式问卷进行实证分析,结果发现:创业管理强度可以被划分为独特性、统一性、共识性3个维度;创业管理强度对创业企业绩效具有显著正向影响,这种正向影响机制可以从团队合作方面得到解释,即团队合作在创业管理强度和创业企业绩效之间发挥中介作用。     

嵌入性创新网络与科技型小微企业创新绩效:网络能力中介效应研究

科技型小微企业嵌入于创新网络中,通过自主性发挥网络构建与管理能力,进一步分享创新网络资源,提高创新实力。基于中国软件谷(南京)及相关创业孵化园246家软件企业问卷调查结果,运用SPSS、LISREL软件进行统计分析,实证研究网络能力对嵌入性创新网络与科技型小微企业创新绩效的中介效应。结果表明:(1)嵌入性创新网络稳定性有利于科技型小微企业创新绩效的提升;(2)嵌入性创新网络强度越大,科技型小微企业网络能力越强;(3)科技型小微企业网络能力越强,创新绩效提升越明显;(4)科技型小微企网络能力有助于促进嵌入性创新网络对创新绩效的提升作用。     

创新驱动先前实践对建设目标的影响

基于各省出台的创新型省份建设方案，运用省级政府面板数据，实证研究了创新型省份建设对预期建设目标的影响。结果发现，创新型省份建设仅对可操控程度较高、完成难度较低的建设目标具有显著影响，而对可操控程度较低、完成难度较高的建设目标无显著影响；高强度激励对建设目标实现的影响作用较大。公开建设方案、科学设定建设目标、促进多部门参与、建立监督和评估机制是改进创新型省份建设和推进创新驱动发展战略实施的重要突破口。     

The effects of activity and geographic diversification on performance: Evidence from French financial institutions

Our paper studies the impact of activity and geographic diversification on financial institution's performance. These diversification strategies are complementary in generating performance and may provide important implications. Moreover, we investigate the interaction between these two strategies. Our dataset comprises 4532 years observations over the period of 2002 to 2012 and covers 412 French financial institutions. We find a negative relationship between diversification and performance. However, this relationship is significantly positive when institutions implement a dual diversification strategy. In this paper, we propose a classification of French financial institutions. For generalists’ banks and cooperative banks, we find similar results to those of the entire sample. Furthermore, for specialized financial institutions, the relationship is positive and significant. Our findings are robust to the potential endogeneity problem and to measures of diversification and performance.     

Wheat variety yield data: Do commercial and public performance tests provide the same information?

Wheat yields from reported performance test results are of economic importance to wheat producers, since their profits depend on selecting the optimal variety for their location. However, our data shows differences in absolute and relative wheat yields between commercial and public wheat breeding program's performance test data in Kansas. Newly available data are used to test if the difference in yields arose from potential selectivity bias, and to determine the contribution of private and public wheat breeding programs to varietal yield improvement during 2007–2012. Both Heckman selection models and multiple regression showed no statistical evidence of the potential presence of selectivity bias rather, managerial practices, agronomic conditions, field location, and inherent genetic traits of the seed variety were identify as the source of yield differences.     

基于联合研究实体的国家实验室网络化规律研究

对基于联合研究实体CMI的埃姆斯国家实验室网络化案例分析后发现，拉力（国家战略需求、问题综合复杂）和推力（自身发展追求、自我能力局限）共同驱动国家实验室网络化。强实力、精专业的优质网络节点、相似-差异-分散-役使四重属性叠加的网络关系以及星形网络结构，基于点、线、面三维视角形成了国家实验室网络化基本相态。在国家实验室需求的基础上，网络化规则体系通过实践探索自发生成，且反作用于网络化实践，为网络化文化形成提供了必要条件，成为实验室网络化持续演进的文化根基。最后，从网络化方式、依靠力量、相态、规则、嵌入情景与自主发展5个方面，总结出国家实验室网络化规律对我国国家实验室网络化发展的主要启示。     

Tales from tails: On the empirical distributions of forecasting errors and their implication to risk

When evaluating the performances of time series extrapolation methods, both researchers and practitioners typically focus on the average or median performance according to some specific error metric, such as the absolute error or the absolute percentage error. However, from a risk-assessment point of view, it is far more important to evaluate the distributions of such errors, and especially their tails. For instance, a lack of normality and symmetry in error distributions can have significant implications for decision making, such as in stock control. Moreover, frequently these distributions can only be constructed empirically, as they may be the result of a computationally-intensive non-parametric approach, such as an artificial neural network. This study proposes an approach for evaluating the empirical distributions of forecasting methods and uses it to assess eleven popular time series extrapolation approaches across two different datasets (M3 and ForeDeCk). The results highlight some very interesting tales from the tails.     

Perceived incentives to transdisciplinarity in a Japanese university research center

As a method of investigating complex socially relevant phenomena, transdisciplinary research (TDR) is gaining increasing centrality as a model of knowledge production. However, it is being discouraged by a scientific reward system based on disciplinary logic. The disincentive is even stronger for junior scholars who should be developing the capabilities necessary for achieving long-term scientific excellence.Building on theories of the coordination of scientific communities and using the case of a research center of Kyoto University investigating the boundary between cell and material sciences, we aim to disentangle the interplay between institutional incentives and intrinsic motivation in the prioritization of TDR over monodisciplinary research.We find that, despite strong interest in TDR among scientists and the center's mission to promote this orientation, only a minority of scientists prioritize this approach. Choice of research strategy is associated with its perceived benefits for idea generation, publication opportunities, intellectual effort required, the costs of team coordination, and satisfaction with organizational resources. Furthermore, the propensity to prioritize TDR drops among scientists beginning their careers.Therefore, we recommend the development of evaluation schemes grounded in activity-based measures and the granting of permanent positions to scientists pursuing TDR.     

Risks from self-referential peer review echo chambers developing in research fields: 2018 Keynote Address presented at The British Accounting Review 50th Anniversary Celebrations,British Accounting and Finance Association Annual Conference,London

Denigration of academic experts and expertise, amid a resurgence of political populism, poses a challenge to the legitimacy of academic research. Addressing this challenge requires us to continually demonstrate the importance of basing policy interventions on reliable evidence, rather than unevidenced assertions that gain traction through communication echo chambers. However, unconscious confirmation biases in collection and analysis of evidence can impair the reliability of our research insights. A key source of such confirmation biases are unchallenged ideologies and other taken-for-granted assumptions underlying any research (sub)field. This essay argues that informal and formal peer review processes at many stages of research need to highlight and challenge both conscious selectivity bias and unconscious confirmation bias. However, they are unlikely to do so where researchers only take on board feedback from peers in the same (sub)field who share ideological commitments and taken-for-granted assumptions. In such circumstances, self-referential peer review echo chambers can develop that entrench rather than challenge weaknesses in a research (sub)field. This can be a major risk to the effectiveness and reputation of any academic research (sub)field; a risk we need to confront.