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θ-improved limited tolerance relation model of incomplete information system for evaluation of water conservancy project management modernization 被引量:4
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作者 Yu-qin GAO Guo-hua FANG Ya-qin LIU 《Water Science and Engineering》 EI CAS CSCD 2013年第4期469-477,共9页
The modernization of water conservancy project management is a complicated engineering system involving a management system, a management method, management personnel, the exertion of social, economic, and ecological ... The modernization of water conservancy project management is a complicated engineering system involving a management system, a management method, management personnel, the exertion of social, economic, and ecological effects, and so on. However, indices for evaluating the modernization of water conservancy project management are usually unobtainable in practical applications. Conducting appropriate extension of the classical rough set theory and then applying it to an incomplete information system are the key to the application of the rough set theory Based on analysis of some extended rough set models in incomplete information systems, a rough set model based on the θ-improved limited tolerance relation is put forward. At the same time, upper approximation and lower approximation are defined under this improved relation. According to the evaluation index system and management practices, the threshold for θ is defined. An example study indicates the practicability and maneuverability of the model. 展开更多
关键词 Key words: modernization of water conservancy project management O-improved limitedtolerance relation model upper and lower approximations threshold
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Knowledge management and the entrepreneur:Insights from Ikujiro Nonaka's Dynamic Knowledge Creation model(SECI) 被引量:5
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作者 Cesar Bandera Fazel Keshtkar +2 位作者 Michael R.Bartolacci Shiromani Neerudu Katia Passerini 《International Journal of Innovation Studies》 2017年第3期163-174,共12页
A key goal of knowledge management(KM)is to foster innovation through the ceation of new knowledge.Surprisingly,there is little research on KM in the context of entrepre-neurship,a domain where innovation is considere... A key goal of knowledge management(KM)is to foster innovation through the ceation of new knowledge.Surprisingly,there is little research on KM in the context of entrepre-neurship,a domain where innovation is considered essential.This paper extends estab-lished theories and frameworks for KM to the understudied context of KM in small and medium entrepreneurial firms,particularly young startups.Translating KM fr ameworks,such as the widely studied SECI model,into the entrepreneurial domain could eventually help startups in their quest for sustainability and growth.The SECI model is an aspir ational process with which to build new knowledge,including the explicit knowledge assets that startups commonly lack.However,an aspiration is only useful if the subject knows where he or she stands in relation to it.This study focuses on understanding whether entre-preneurial activities embed into,and can further enable,the"virtuous"knowledge-creation cycle.The secondary objective of this paper is to acknowledge Ikujiro Nonaka's contribution to western and eastern KM theories,and extend his seminal theories into other domains,such as small and medium enterprises.This work pilots the use of a content analysis technique largely used in psychology to analyze the connection between entrepreneurship and KM.With this method,the study highlights how the four phases of the SECI model apply to startup firms in a business incubator in the United States.It provides insights into the knowledge-creation process of entrepreneurs,and suggests how entrepreneurs can improve startup survival through greater awareness and use of KM in their business planning and operational activities. 展开更多
关键词 ENTREPRENEURSHIP SECI Knowledge management(KM)Linguistic inquiry and word count(LIWC) Innovation
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