厂网村结对共建 合力推“创先争优”

大唐岩滩水力发电有限责任公司在开展"创先争优"活动中,拓宽创新渠道,与下游的行业链电网公司和地方协和村三方结对共建,通过"加强安全管控交流,和谐社会互建,筑造安全厂网;加强技术合作,组织建设互促,共造效益厂网;通过文化联谊、党员干部互动,营造人文厂网;通过教育培训、人才培养互补,打造智能厂网"的"两加强两通过四打造"活动,力推"创先争优"活动向横向纵深发展。     

Return spillovers around the globe: A network approach

We study the connectedness of a sample of 40 stock markets across five continents using daily closing prices and return spillovers based on Granger causality. All possible 1560 return spillovers between 40 markets create a complex network of relationships between equity markets around the world. Apart from analyzing the topological and time-varying properties of the created networks, we also identify the determinants of the connectedness of equity markets over time. Adjusting for non-synchronous trading, our modelling approach leads to evidence that the probability of return spillover from a given stock market to other markets increases with market volatility and market size and decreases with higher foreign exchange volatility. We empirically show that the temporal proximity between closing hours is important for information propagation; therefore, choosing markets that trade during similar hours bears an additional risk to investors because the probability of return spillovers increases.     

Collaborative innovation and policy support: the emergence of trilateral networks

ABSTRACT

The present article models the critical factors for a successful and evolutionarily stable National System of Innovation. We simulate a model, against the background of increasingly complex technologies, in a national process of agents’ interactions with social-dilemma characteristics. In particular, the articleinvestigates the emergence of a trilateral collaborative innovation alliance among ‘enterprise’, ‘university’ and ‘government’. We apply a tripartite evolutionary game with a replication process and explore the role and options of the public policy agent to support collaboration on innovation. We find that some policy mix, in particular, a combination of (1) public rewards for cooperation, (2) public punishment for non-cooperation and (3) settings of public cost controls and tax income from innovation, can promote broad and sustainable innovation alliances. For instance, threats of strong punishment, even with low public rewards for cooperation, may promote the formation of a collaborative innovation alliance. We run some sensitivity analyses of the results through parametric variation of two critical factors of the model, knowledge spillover and output elasticity of knowledge input. We find some qualifications for the velocity of the process.     

Analysing network partnerships

Support for the notion of networks is growing rapidly across Europe, especially in the public sector where faith in market and hierarchy is diminishing. However, the concept is still loosely interpreted and variably applied. This article unpacks the concept of network and goes on to suggest that a useful model for application to a ‘whole systems’ approach is Ken Benson's neglected framework of an ‘inter-organisational network’. It urges application of the framework to specific contexts and issues.     

创新网络中知识协同演化机理模型及计算实验分析

基于创新网络节点间共生关系分类以及知识协同过程的熵变理论，以Lotka-Volterra模型为基础，将序参量指标作为调节变量，构建创新网络节点间知识协同过程机制模型；采用赋值法和控制变量法，并借助MATLAB平台对模型进行计算实验分析。结果表明：创新网络知识产出水平受到节点自然增长率、节点间协同意愿指数、节点间竞争指数、节点知识熵、节点结构熵等5个因素的影响；在节点处于不同共生关系时，即使同一影响因素，对最终知识创新产出水平的影响也不一致。     

Knowledge integration and network formation

In this paper, we highlight how inter-firm collaboration networks are influenced by the knowledge composition of goods in an industry. For this purpose, we carry out an agent-based simulation study in which firms integrate their competencies under different knowledge-based regimes. In this way networks form. The results reveal that knowledge regime significantly influences the network structure, and interaction among firms not only is very intensive when the products are specialized but also have common knowledge among them.     

Developing network insight

A challenge facing organizations is that of amalgamating possibilities which do not exist in a transparent and concentrated form, but rather as dispersed individual cognitive ‘pictures’ perceived by managers embedded in business networks. Based on our research of business networks involving manufacturers of consumer goods, pharmaceutical companies, producers of semiconductors and telecommunication and utility service providers, we propose the concept of network insight, which does not consist merely of extant pictures held by individual managers, but is grounded in the practice of inter-firm exchange. We argue that developing network insight is a managerial challenge encompassing the amalgamation of dispersed pieces of atomized network pictures through heedful, multilateral interactions. Such a managerial activity transcends the task-specific knowledge base of managerial cognition and leads to objectified organizational learning within a business network. Managers that develop insight in business networks are able to mobilize other actors and create a competitive advantage for their organization that is crucial for innovation and growth.     

Feedforward neural networks in the classification of financial information

Financial research has given rise to numerous studies in which, on the basis of the information provided by financial statements, companies are classified into different groups. An example is that of the classification of companies into those that are solvent and those that are insolvent. Linear discriminant analysis (LDA) and logistic regression have been the most commonly used statistical models in this type of work. One feedforward neural network, known as the multilayer perceptron (MLP), performs the same task as LDA and logistic regression which, a priori, makes it appropriate for the treatment of financial information. In this paper, a practical case based on data from Spanish companies, shows, in an empirical form, the strengths and weaknesses of feedforward neural networks. The desirability of carrying out an exploratory data analysis of the financial ratios in order to study their statistical properties, with the aim of achieving an appropriate model selection, is made clear.     

Network Development and Application in Health Care

Abstract

Service quality is important to health care. The research took advantage of a unique opportunity to study health care from the perspective of all relevant stakeholders. The major results of this research were insights concerning the structures and processes that characterise successful professional health care services and, more broadly, professional services generally. Rather than just communicating in a system prescribed way, successful professionals combine an ambiguous system with extensive interaction with other stakeholders to develop networks. In this way they achieve superior service quality for their patients.     

Industrial marketing firms and knowledge transfer: Toward a basic typology of community structures

Industrial firm boundaries are dynamic, changing with every new alliance or acquisition. As boundaries evolve, managers must develop organizational structures that effectively leverage knowledge. This paper presents and explains the analytical foundation of a typology of community structures, featuring the basic structures of Crew, Séance, and Guru. This typology is applied to three examples of knowledge transfer in industrial marketing. A competence exploitation example examines knowledge transfer between a firm and a subsidiary established primarily for increasing existing product sales in a new market. A competence creation example examines the community structures for utilizing the product and market knowledge of a subsidiary to benefit the firm's new product development decisions. The final example examines the “tech vs. touch” tradeoffs in interpersonal communication and knowledge transfer. The back-to-basics typology of community structures helps stimulate strategic thinking, and facilitates future explorations of knowledge management in industrial marketing.