A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint

Creating incentives for knowledge workers to share their knowledge within an organization continues to be a challenging task. Strong, innate behaviors of the knowledge worker, such as self-preservation and self-advancement, are difficult to overcome, regardless of the level of knowledge. Many incent...

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Bibliographic Details
Published in2012 45th Hawaii International Conference on System Sciences pp. 3670 - 3678
Main Authors Patton, R. M., McNair, W., Symons, C. T., Treadwell, J. N., Potok, T. E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2012
Subjects
Knowledge management
Laboratories
Machine learning
Organizations
Prototypes
Text analysis
Vectors
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Summary:Creating incentives for knowledge workers to share their knowledge within an organization continues to be a challenging task. Strong, innate behaviors of the knowledge worker, such as self-preservation and self-advancement, are difficult to overcome, regardless of the level of knowledge. Many incentive policies simply focus on providing external pressure to promote knowledge sharing. This work describes a technical approach to motivate sharing. Utilizing text analysis and machine learning techniques to create an enhanced knowledge sharing experience, a prototype system was developed and tested at Oak Ridge National Laboratory that reduces the overhead cost of sharing while providing a quick, positive payoff for the knowledge worker. This work describes the implementation and experiences of using the prototype in a corporate production environment.
ISBN:9781457719257
1457719258
ISSN:1530-1605
2572-6862
DOI:10.1109/HICSS.2012.85