Scope

This lesson focuses on the power and use of tacit and explicit knowledge for adding value to an organization. The basis for extraction of immediate versus stored knowledge is explored. Tools for compiling knowledge from human experts such as neural networks and expert systems are discussed and evaluated. End applications for matching knowledge to tasks such as data mining and case based reasoning are demonstrated. Exercises and exploration of applications in each area drive home uses and value.

Objectives

Students will be able to evaluate each knowledge technology in terms of its performance benefits, costs-of ownership, technical issues, and  implementation strategies for possible application as part of the enterprise information infrastructure.

Readings

Required

1. The Two Faces of Knowledge Management Technology, Saunders, John

Review Material

Case Study

1.  Knowledge Management Case - Hewlett Packard (HP)

       Link to Case Reading http://www.bus.utexas.edu/kman/hpcase.htm

Required

Taskings

1. Complete the Mini Exam at  http://www.johnsaunders.com/XMIT/XMITExam2.htm

Submit the answers at the beginning of the the next class or e-mail them to the instructor.