股市中危机传播的 SIＲ 模型及其仿真

选择上市公司的大股东信息,建立了上市公司及其大股东间的持股关联网络． 考虑到上市公司与股东间因为资金流减小或资金链断裂而相互影响所导致的危机在网络中的传播行为,推导出股市中危机传播的SIR模型的计算方法． 继而对网络出现随机故障和遇到蓄意攻击时,危机在网络中的传播过程进行仿真分析． 研究表明: 当网络中的大型上市公司或控股集团 ( Hub 节点) 被蓄意攻击或出现故障时,危机在网络中传播速度极快,造成的破坏力很大,网络表现出明显的脆弱性,从而容易产生多米诺骨牌效应． 该方法为未来对经济危机的传播机理的深入研究提供了一个可供借鉴的方法．     

How to make e-Procurement viable for SME suppliers

Due to their common role as suppliers, small and medium-sized enterprises (SMEs) are especially challenged by today's turbulent business conditions. In order to meet this challenge, short-term WWW-based enterprise cooperations are regarded as an appropriate way to enhance the competitive strength of SMEs. Hence, the Institute of Machine Tools and Industrial Management (IWB) operates three so-called competence networks for engineering (www.engineering-net.de), rapid prototyping (www.rp-net.de) and manufacturing (www.produktionsnetz.de) services. For the purpose of an applied research project, more than 80 participating SME suppliers have been included in these specialized virtual markets, which are based on the core competencies of the cooperating SMEs. Additionally, the platform (www.virtueller-markt.de) enables customers to configure their specific supply chains via the above-mentioned competence networks. The presented paper depicts how to establish and operate these competence networks as well as how to configure supply chains via these virtual markets.     

Performance indicators for collaborative networks based on collaboration benefits

Collaborative networks are typically assumed to bring clear benefits and competitive advantage to the participating members. However, the identification and characterisation of objective and measurable collaboration benefits is an important element for the wide adoption of this paradigm. Departing from a brief categorisation of the intuitive advantages of collaboration, this paper introduces an approach for the analysis of benefits in collaborative processes, introducing a number of performance indicators. The potential application of the indicators derived from this analysis is then discussed in the context of a virtual organisation's breeding environment. Finally, experimental results based on data from two existing collaborative networks are presented and discussed.     

Evaluation of the green supply chain management practices: a fuzzy ANP approach

Environmentally responsible manufacturing, green supply chain management (GSCM), and related principles have become important strategies for companies to achieve profit and gain market share by lowering their environmental impacts and increasing their efficiency. As environment has become a key strategic consideration in supply chains, this study examines the components and elements of GSCM and suggests a novel GSCM evaluation framework. It also provides a real-case study of Ford Otosan, one of the pioneering companies about environmental subjects in Turkey, to illustrate the industrial application of our theoretical assessment model. The identified components are integrated into a strategic assessment and evaluation tool using analytical network process (ANP). The dynamic characteristics and complexity of the GSCM analysis environment make the ANP technique a suitable tool for this study. Moreover, to cope with ambiguity and vagueness of the decision maker's evaluations, the fuzzy extension of the ANP method is preferred.     

Key success factors when implementing a green-manufacturing system

This study proposes a three-layer assessment model to evaluate the performance of a green-manufacturing system (GMS) and identify the key success factors of its real-world implementation. The top layer of the model includes three dimensions – green design, green-manufacturing process and green packaging. The second and third layers include ten strategic subjects and 74 assessment factors, respectively. The weights in each layer are collected via a questionnaire and calculated using the analytical network process (ANP). Based on the ANP, the five key success factors for implementing the GMS in a company are proportion of non-toxic materials, compliance with eco-ordinances, proportion of biodegradable materials, environmental pollution per product and extent of process pollution. The practicality of the proposed model is demonstrated by evaluating three companies that produce similar products and share similar business models. The proposed model provides a valuable reference for real-world implementation of the GMS.     

Leveraging Open Innovation Using Intermediary Networks

Open innovation, fuelled by the rise of the Internet, has made it feasible and cheaper for firms to open themselves up to a wide range of external sources of innovative ideas. The explosive growth of open innovation intermediary networks, such as InnoCentive or Linked‐in, enables the rapid pairing of firms seeking knowledge to address a wide range of business challenges (seekers) with other firms or individuals who already have relevant knowledge (solvers or knowledge brokers). These intermediary networks allow procurement departments to source codified and un‐codified knowledge from firms or individuals outside their traditional supplier networks using one‐off transactional relationships. Although sourcing ideas in this way theoretically poses problems for knowledge search and transfer, we have found that companies can draw on processes and integration mechanisms developed by procurement and design engineering to develop effective organizational learning routines. These routines are strategically vital to source new ideas through open innovation using intermediary networks and create competitive advantage.     

Bayesian inference for a discretely observed stochastic kinetic model

The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observed by means of discrete-time sampling systems, which are often limited in their completeness. In this paper we explore how to make Bayesian inference for the kinetic rate constants of regulatory networks, using the stochastic kinetic Lotka-Volterra system as a model. This simple model describes behaviour typical of many biochemical networks which exhibit auto-regulatory behaviour. Various MCMC algorithms are described and their performance evaluated in several data-poor scenarios. An algorithm based on an approximating process is shown to be particularly efficient.     

干线战术通信网的抗毁模型研究

介绍了抗毁通信网分析与设计的原理和方法、针对干线战术通信网中节点移动会导致网络拓扑结构发生变化的特点,提出了动态网络拓扑设计模型和衡量干线战术通信网的抗毁性能的数学模型—随机图模型和齐次随机图模型、计算机模拟结果验证了随机图模型和齐次随机图模型的正确性.     

对网络会计的探讨

网络会计作为知识经济时代产生的一种全新会计,它因其先进性和对环境的适应能力必将成为财务会计发展的主流。就当前来说,网络会计值得研究和探讨的问题很多,但急需解决的是网络会计对传统财务会计的冲击致使网络会计缺乏理论的支持,以及网络会计在发展中存在的问题。本文就此进行了探讨,并尝试性地提出相应的对策。     

符号网络分析算法及计算机实现

提出了一种分析电路符号网络函数的新编码算法ＮＳＣＡ。它能有效降低基码，防止过早发生整数溢出，从而扩大分析电路的规模。提出了灵敏度分析算法和化简算法，并可对模块电路进行处理，增强了编码算法的适用范围。根据该算法开发了软件系统ＳＮＳＰＣ２．０。实例运行结果证明了算法理论的正确性和可行性