1,721,106 research outputs found
Internet-based Decision Support Systems: leveraging mass collaboration to address complex problems
No full textLeveraging the power of collective Intelligence through IT- enabled global collaboration
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L’emergenza di “learning networks” nei Distretti Industriali: un modello di simulazione basato su agenti
No full textOrganizational Learning and Cognition Building Systems fo the learning organization
No full textManaging organizational cognition and learning has been the subject of many studies and publication and is considered a major source of competitive advantage in the knowledge-based economy in knowledge intensive and traditional business. Organizational Cognition and Learning: Building Systems for the Learning Organization addresses the concept of organizing that is centered around collective learning in organizations and on the learning organization paradigm. Organizational Cognition and Learning: Building Systems for the Learning Organization presents a theory of organizational learning based on a model of organizational memory, explaining organizational processes and dynamics through which organizational memory is built and updated. Organizational Cognition and Learning: Building Systems for the Learning Organization provides a methodology and several tools to elicit and map organizational memory contents, based on the analysis and modelization of discourses through qualitative and quantitative techniques, examples of applications, implications for practice, and a research agenda for the development of methodologies and systems for the learning organizations
Argument mapping and content fusion to support the analysis and synthesis of information in online discussions
No full textWhile online conversations are very popular, the content generated by participants is very often overwhelming, poorly organized and often of questionable quality. In this article we use two methods, a text analysis technique, Vector Space Modeling (VSM) and clustering to create a methodology to organize and aggregate information generated by users using Online collaborative Argumentation (OA) in their online debate. An alternative to other widely used conversational tools such as online forums, OA is supposed to help users to join their efforts to construct a shared knowledge representation in the form of an argument map in which multiple points of view can coexist and be presented in the form of a well-organized knowledge object. To see whether this supposition comes into effect we first apply VSM to summarize argument map content as a document space and then use clustering to transform it to a limited number of higher order semantic categories. We apply the methodology to more than 3000 posts created in an online debate of about 160 participants using an online argumentation platform and we show how this methodology can be used to effectively organize and evaluate content generated by a large number of users in online discussions
IntEnt2004 - Internationalizing Entrepreneurship Education and Training Conference Proceedings
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