Coping with coopetition—Facing dilemmas in cooperation for sustainable development: The case of the Dutch smart grid industry

This paper is amongst the first to examine coopetition strategy for sustainable development at the network level. Companies who want to successfully implement complex innovative technologies that support sustainable development need to collaborate with other actors of the innovation ecosystem, including their competitors, so that they can develop standards, interoperable products, pool knowledge, and resources and bundle forces to compete against other technologies. Collaboration with competitors brings benefits, but also many risks. We investigated how firms cope with these risks when establishing an innovation ecosystem to implement a new technology in society. We conducted research in the Dutch smart grids sector and explored how these firms minimize inherent risks of coopetition. We found that system‐building actors in the Dutch smart grid field not only minimize inherent risks, but from the start of their collaboration they implement so‐called enablers to prevent these risks upfront.     

Machine learning for financial transaction classification across companies using character-level word embeddings of text fields

An important initial step in accounting is mapping financial transfers to the corresponding accounts. We devised machine-learning-based systems that automate this process. They use word embeddings with character-level features to process transaction texts. When considering 473 companies independently, our approach achieved an average top-1 accuracy of 80.50%, outperforming baselines that exclude the transaction texts or rely on a lexical bag-of-words text representation. We extended the approach to generalizes across companies and even across different corporate sectors. After standardization of the account structures and careful feature engineering, a single classifier trained on 44 companies from 28 sectors achieved a test accuracy of more than 80%. When trained on 43 companies and tested on the remaining one, the system achieved an average performance of 64.62%. This rate increased to nearly 70% when considering only the largest sector.     

Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.     

国家行为与产权：一个新制度经济学的分析框架

早期的产权理论侧重于微观层次的分析，较少考虑中观（利益集团）及宏观层次（国家）对产权结构形成的影响及不同层次产权的交互作用的机制。文章从新制度经济学关于国家的定义入手，通过对个体权力与国家、集体行动与国家以及法治化社会与国家的三个层次的分析，提出建立产权制度分析的国家模型，从而论证国家与产权制度变迁的关系。     

欠发达地区新农村建设与农村公共产品供给

农村公共产品的供给对欠发达地区新农村建设意义重大，而现阶段欠发达地区农村公共产品供给却存在着供给观念滞后、供给主体单一、城乡之间供给的不公平性以及监督管理体制的缺失等突出问题。如何解决这些问题。主要应从转变观念、引入市场机制和社会力量、建立城乡一体化的公共产品供给体系、创新农村行政管理制度等方面入手。以此推动欠发达地区新农村建设的进程。     

试论生态林业系统的时空观

生态林业系统具有时间、空间两个序列的开发前景。长周期,大跨度的生态林业生产可以分解为复合的短周期方式,使生态意识与经济效益有机结合。空间组合的多层次立体开发有效地利用了光、热、水、土资源,并获得最大生物量;地域组合着眼宏观,注重研究大型骨干及网络性生态工程问题。     

信息不对称对林产品经营影响的分析

探讨了信息不对称现象对林产品经营的影响问题,阐述了林产品市场信息不对称的内涵、基本表征、成因及其对林产品经营的具体影响,提出了林产品经营的新对策:一是加强林产品市场调研,充分掌握市场信息;二是注重林产品信息的传播与扩散;三是讲求诚信经营,努力培养商誉;四是积极实施林产品的标准化经营;五是大力推行林产品的认证经营。     

西气东输工程用感应加热弯管技术条件探讨

在对国外X70管线弯管技术条件进行调查分析与研究的基础上，对其中的几个关键技术问题包括母管成分，弯管的制造工艺和技术路线，强度与韧性要求，屈强比，Cu污染问题等进行了讨论。一些观点在西气东输感应加弯管技术条件中得到应用。     

林产品市场模型文献综述

关于林产品市场的数量研究开始于上个世纪50年代。早期的研究主要以时间序列数据为主。近几十年来,由于经济理论在林产品市场模型中的应用,模型估计方法的改进,以及详细数据的获得,林产品市场模型越来越完善。文章对近几十年来出现的主要建模方法,及其应用作一回顾,并对这些方法的优缺点作简单的比较。