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Cross-organizational collaboration encompasses two main factors: the coordination of information flows among organizations and the autonomy of each participant. An approach based on public-view and Object Petri net will be proposed in this paper, which is inspired by the similarity between cross-organizational workflow modeling and Object Petri net. The public view of each organization is the external...
Effective regulation of joint activity requires awareness of and coordination with partners at many levels. Our research focuses on understanding and supporting awareness in relatively large and complex activities such as emergency management, software development, information analysis, and education. We describe patterns and issues in the development of activity awareness, and approaches to supporting...
Open source is an important model of collaborative knowledge work and virtual organizations. One of its work practices, peer review, is considered critical to its success, as Linus's law highlights. Thus, understanding open source peer review, particular effective review practices, will improve the understanding of how to support collaborative work in new ways. Therefore, we conduct case studies in...
Virtual organizations are increasingly pervasive in knowledge work, despite significant challenges with respect to support for common ground, member awareness, sense of community, work coupling, incentives, and other issues. Understanding how specific sociotechnical affordances of VOs can enhance effectiveness in new and distinctive ways will improve our understanding of virtual organizations, and...
Adverse selection caused by asymmetric information impacts the product of green agricultural. With the increase of the number of agricultural Producers and the level of consumption, the green agricultural products will be promoted to a certain extent. Given a certain consumption level, joint in the region and construction the network organizations, which can effectively reduce the opportunism of farmers'...
Since 1990s, learning organization is considered as a new trend and an ideal mode of the global organizational management in the knowledge economy era. As to the research of learning organization change with attributes of complex system, the theory of complex adaptive system provides a possible way on methodology. This paper reviews theory of complex adaptive system and learning organization, analyzes...
The role of China as a world manufacturing center has enhanced the importance of industrial engineering and the attractiveness of an industrial engineering education in China. Based on statistics from Chinese universities with IE departments, IE student education in China including geographic distribution, curriculum, practice teaching, career selection was demonstrated in English for the first time...
In recent years, the combination of case-based reasoning (CBR) and domain knowledge has become a hotspot in CBR field. Different knowledge representation ways bring about different influences of CBR system performance. This paper makes a summarization and an analysis of deficiencies in integration between traditional knowledge representation and CBR, based on which it proposes a scalable case representation...
Performance evaluation of knowledge management, which is one of the most important factors of knowledge management, plays more and more crucial role in the process of the enterprise development. This paper analyzed the essence of knowledge and knowledge management, discussed the concept and characteristics of enterprise knowledge portal. On this basis, the article proposed an evaluation model of knowledge...
In addition to enabling controlled sharing and isolation, the virtualization mechanism can help to provide users a single image, and to realize a more abstract and uniform view from a set of fine-grained, heterogeneous and un-ordered instances. The paper explores ways of business-oriented service abstraction, Web service virtualization, presents a practical approach and discusses the effects thereof...
In this article, the interest rate and non-interest cost are brought into an analytical framework to model a synthetic credit rationing model, under market conditions of a formal finance and an informal finance sector. The research context concerns credit rationing towards agricultural economic organizations in China. Our research indicates that, in order to reduce the loan risk, the formal finance...
This paper propose a novel method of named entity identification based on improved hidden Markov model, according to the specific characteristics of the named entities in recruitment information. The algorithm tags entity and improved hidden Markov model, which can be effective to identify entities. The experimental results showed that the accuracy rate has been significantly improved and increased...
A TBL based post-processing approach is proposed for Japanese named entity recognition (NER) in this paper. Firstly, tuning rules are automatically acquired from the results of Japanese NER by error-driven learning. And then, the tuning rules are optimized according to given threshold conditions. After filtered, the rules are used to revise the results of Japanese NER. Above all, this approach could...
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