Governing the transnational organic cotton network from Benin

In this article, we attempt to conceptualize the historical development and the governance structure of the transnational organic cotton network from Benin. We aim to discover how the organic cotton production‐consumption network is governed locally and internationally. Existing bodies of literature on international agricultural production networks, in particular the Global Value Chains (GVC) perspective, focus on economic dimensions, but find it difficult to incorporate the sustainability dimension. We favour widening the concept of GVCs beyond economics by acknowledging and including environmental rationalities and the representatives of their interests, not as external elements, but rather as co‐governing or co‐structuring factors (or actors) of sustainable value chains. Our findings reveal that beyond the traditional producer versus buyer dualism, intermediate stakeholders, namely transnational and local environmental NGO networks, are instrumental in the construction, maintenance and transformation of the organic cotton network. It is also apparent that farmers' leaders play an important role in mediating and (re)building trust among organic farmers, though they exert insufficient vertical power in the organic cotton network to control it.     

Understanding racial literacy through acts of (un)masking: Latinx teachers in a new Latinx diaspora community

As Latinx teachers are recruited to work in U.S. schools, a continued agenda to understand their experiences is warranted. This multiple case study considers the storytelling of six Latinx teachers in a new Latinx diaspora community. It documents both their racial literacy (the ability to resolve racially stressful issues) and their experiences with (un)masking (literal and figurative ways to cover or embrace racial markers). This study reveals the tensions that arise when Latinx teachers attempt to define their identity in social spaces where their languages, bodies, and names, among other markers, are racialized when read by others. Implications for teacher education include a call to include storytelling as a pedagogical tool to develop Latinx teachers’ racial literacy skills. By experiencing storytelling in their own schooling, Latinx teachers are more likely to model such racial literacy skills in their schooling communities; thereby, empowering a generation of students to enact more humanizing behaviors.     

‘I FELT DEAD’: applying a racial microaggressions framework to Black students’ experiences of Black History Month and Black History*

This paper uses a Critical Race Theory perspective to explain the everyday racisms – racial microaggressions – directed towards students of African and Caribbean descent during a non-statutory Black History unit, at an English secondary school. Applying a racial microaggressions framework to ethnographic data, this paper finds that experiences of studying Black History by students of African and Caribbean descent are dominated by various types of racial microaggressions including: micro-invalidation, micro-insults and micro-assaults. These experiences are symptomatic of wider racist structures and processes within the National Curriculum for History, based upon the ideology of white supremacy. This paper concludes that the racial microaggressions framework allows for useful ways of thinking about the function and purpose of Black History Month and Black History in schools, and its opportunities for exposing wider institutional and ideological underpinnings that legitimate deficit understandings about black people in school classrooms.     

Efficiency and effectiveness of knowledge management systems in SMEs

This paper proposes a 3D fuzzy logic methodology to assess the efficiency and effectiveness of knowledge management systems (KMSs) adopted by small and medium enterprises (SMEs) and identifies a classification bringing together the behaviour of SMEs when adopting KMSs. The proposed methodology was previously tested on an individual SME and then implemented on a sample of SMEs. The results highlight that there is an ample variety of behaviours related to the nature of knowledge and the KMSs used. Specifically, four typologies of behaviour are identified: the efficient and effective SME, the effective but inefficient SME, the efficient but ineffective SME, and the inefficient and ineffective SME. The results show that only 18% of surveyed SMEs are efficient and effective for both KM-Tools and KM-Practices, the remaining 82% are inefficient or ineffective for KM-Tools and/or KM-Practices. Lastly, the paper shows how this methodology may be used by an SME as a managerial tool to suggest appropriate changes to improve the efficient and effective adoption of KMSs supporting SMEs in the knowledge management processes.     

Interactive profit-planning systems and market turbulence: A dynamic capabilities perspective

This article describes, theorizes and empirically investigates the concept of interactive profit-planning systems (PPS) through the lens of the dynamic capabilities logic. With this conceptualization: interactive PPS capabilities comprise budgeting, forecasting and results-reporting routines, in which top and middle managers interact to create knowledge for sensing, seizing, and business model reconfiguring (to manage strategic business change). Survey data from 331 Australian firms is analyzed employing partial least squares structural equation modeling. The data provides support for two hypotheses: (1) greater market turbulence strengthens the positive effect of interactive PPS capabilities on business unit performance; and (2) greater market turbulence strengthens the positive effect of flexibility values (of organizational culture) on interactive PPS capabilities. Our findings show that interactive PPS capabilities function according to the salient tenets of the dynamic capabilities logic, and clarify the beneficial roles of formal cybernetic control systems and the intertwined involvement of top and middle managers in using dynamic capabilities.     

额外资源按需分配方法研究

文献Wei Quanling等^[1]的最后一段提出了这样一类额外资源分配问题：假设有一些额外的投入资源将要分配给全部或者部分决策单元,如果我们希望分配结果对于整个系统（该系统由全部决策单元组成）来说是最有益的,那么应当如何分配这些额外的投入资源?他们同时还指出系统中哪些决策单元能够获得额外的投入资源,这不仅取决于决策单元的效率,还需要考虑规模报酬。针对此类问题,本文提出一种额外资源按需分配方法：首先,综合决策单元的技术效率与其投影点的规模弹性构建发展曲线,并由决策单元的发展曲线获知其投入变动与产出变动的对应关系;然后,把额外资源分成若干等份,依次分配每一个等份的额外资源,每次分配使系统的总产出增加实现最大,直至分配完全部的额外资源,或者分配某一份额外资源不再带来任何的产出增加,分配就会停止;最后,把决策单元在每一次分配过程中获得的额外资源进行累加,得到这个决策单元最终的分配结果。全文的最后分别在"一个投入一个产出"和"两个投入一个产出"情况下给出两个具体的分配算例。分配结果表明,这种按需分配方法不会缩减任意一个决策单元当前占有的投入资源数量,并且还可以有效地在辨识出某种额外资源在规模上和结构上存在的冗余,从而有效地避免不必要的分配。     

基于复杂网络的电动汽车充电桩众筹市场信用风险建模与分析

因其经济优势及环境友好特性,电动汽车（EV）保有量持续攀升。而当前中国充电设施建设明显滞后于电动汽车的扩张速度,成为制约电动车发展潜力的主要瓶颈。由于充电设施具有高正外部性,同时投资回收期较长,难以吸引到传统融资,而基于互联网的众筹作为新型融资方式则受到了广泛关注。但由于缺乏强制性的信息披露制度及相关法律法规,众筹融资过程中的信息不对称问题相较传统融资方式更为严重,由此导致的高违约率也进一步削弱了投资者信心。本文利用复杂网络对电动汽车充电桩众筹融资市场进行建模,刻画了众筹投资者决策过程中的羊群效应,基于信息不对称使用多Agent模型对信用风险的产生、影响及针对性政策效果进行了模拟分析。结果表明,众筹投资者在决策过程中易受到社交网络中负面信息的影响,使得筹资人违约行为的不利影响进一步扩散。而严格的罚款机制可以在不影响融资市场均衡的情况下,使违约行为的恶性循环得到遏制。     

A reference activity model for smart factory design and improvement

Smart manufacturing systems (SMSs) are envisioned to contain highly automated and IT-driven production systems. To address the complexity that arises in such systems, a standard and holistic model for describing its activities and their interrelationships is needed. This paper introduces a factory design and improvement (FDI) activity model and illustrates a case study of FDI in an electromechanical component factory. In essence, FDI is a reference activity model that encompasses a range of manufacturing system activities for designing and improving a factory during its initial development and also its operational phases. The FDI model shows not only the dependency between activities and manufacturing control levels but also the pieces of information and software functions each activity relies on. We envision that the availability of these pieces of information in digital form to integrate across the software functions will increase the agility of factory design and improvement projects. Therefore, our future work lies in contributing to standards for exchanging such information.     

Approximating the risk score for disease diagnosis using MARS

In disease screening and diagnosis, often multiple markers are measured and combined to improve the accuracy of diagnosis. McIntosh and Pepe [Combining several screening tests: optimality of the risk score, Biometrics 58 (2002), pp. 657–664] showed that the risk score, defined as the probability of disease conditional on multiple markers, is the optimal function for classification based on the Neyman–Pearson lemma. They proposed a two-step procedure to approximate the risk score. However, the resulting receiver operating characteristic (ROC) curve is only defined in a subrange (L, h) of false-positive rates in (0,1) and the determination of the lower limit L needs extra prior information. In practice, most diagnostic tests are not perfect, and it is usually rare that a single marker is uniformly better than the other tests. Using simulation, I show that multivariate adaptive regression spline is a useful tool to approximate the risk score when combining multiple markers, especially when ROC curves from multiple tests cross. The resulting ROC is defined in the whole range of (0,1) and is easy to implement and has intuitive interpretation. The sample code of the application is shown in the appendix.