A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint

  • Authors:
  • Robert M. Patton;Wade McNair;Christopher T. Symons;Jim N. Treadwell;Thomas E. Potok

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • HICSS '12 Proceedings of the 2012 45th Hawaii International Conference on System Sciences
  • Year:
  • 2012

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Abstract

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.