Development of Knowledge Management Performance Metrics for Enterprise Social Software

Abstract

This is a summary of a planned dissertation research. Goal is to develop knowledge management metrics that can be used to measure the performance of enterprise social software. To achieve this goal an ontology will be developed showing all entities and properties of enterprise social software. Indicators will then be extracted and new ones generated using natural language processing, graph theory and psychometrics to enrich the data. In the end a visualisation of the indicators (knowledge map) will be developed to present and verify the indicators.

Description

Keywords

information retrieval, data visualisation, knowledge management, software development, metrics, ontology, natural language processing, graph theory, social enterprise software

Dewey Decimal Classification

020 Bibliotheks- und Informationswissenschaften

Citation

Odoni, F. (2017). Development of Knowledge Management Performance Metrics for Enterprise Social Software. Everything Changes, Everything Stays the Same? Understanding Information Spaces. Proceedings of the 15th International Symposium of Information Science (ISI 2017). 314-320. Verlag Werner Hülsbusch. Verlag Werner Hülsbusch. https://doi.org/10.18452/19935