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Zeiller, Michael
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Official Name
Zeiller, Michael
Main Affiliation
ÖCG
Akademische Titel
Prof.(FH) DI Dr.
Email
michael.zeiller@fh-burgenland.at
Scopus Author ID
14632798700
Status
staff
Research Outputs
Now showing 1 - 3 of 3
- PublicationOpen Source Tools for Enterprise 2.0: A Feature-Based Adaptable AnalysisWhen introducing Enterprise 2.0 tools to support knowledge workers working together on cognitive tasks and sharing information, companies and organizations face the problem of choosing the right tools from a huge market of systems. In particular for SMEs, open source tools for Enterprise 2.0 offer a good alternative to commercial systems, but the diversity of systems makes this marketplace quite confusing. Therefore we present a study of the growing market for Enterprise 2.0 systems that focuses entirely on systems available under an open source license. We use a set of 97 individual features and criteria that are grouped around the central functionalities of communication, coordination, collaboration and connection, to analyze the suitability of a representative sample of open source Enterprise 2.0 tools for the average knowledge worker. The evaluation matrix can be easily adapted to get more specific evaluation results for more particular company requirements. Our results show that there are many technically mature solutions with a broad range of functionality available from the market of open source tools for Enterprise 2.0.
143 2 - PublicationVisualizing Knowledge: A Decision Matrix for Choosing Visualization TechniquesKnowledge workers who want to apply knowledge visualization have to determine which visual representation and thereupon which visualization tool is suitable for their needs. To support knowledge workers in this sophisticated problem a systematic approach is presented that matches typical tasks in knowledge management to visualizationtechniques that support these tasks. Knowledge workers are provided with a three-dimensional decision matrix that enables them to identify a suitable visualization technique for a certain knowledge problem. To be able to systematically evaluate and identify adequate visualization techniques a set of evaluation criteria is introduced.
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