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This paper highlights relevant curriculum issues that were identified in a Management Information Systems (MIS) program review undertaken by a group of business faculty in a small regional university. The program review was initiated to improve job marketability of graduates and student enrollment. The review process is described as a collective effort in continuous improvement in program planning and assessment. A reference framework on the technical-business orientation of the program is applied. The framework explains the varying degree of emphasis in technical/business knowledge and skills in Information Technology (IT) and Information Systems (IS) programs. Outcomes associated with the program review process include new elective courses in MIS Internship/Co-Op and Supply Chain Management and increased emphasis in both technical and business skills in MIS courses.MIS Program Review 300 recruitment strategies as important steps to follow through.

The knowledge economy is driven by growth and development of intellectual capital in organizations. Knowledge is defined to be reusable abstractions that can produce new knowledge and modify existing knowledge. Decision making, which includes task solving, is a common feature of the working organization, and it requires good knowledge as input. This chapter provides a review of the knowledge management (KM) concepts and perspectives, with an introduction to the knowledge management Systems (KMS) and its related technologies. The importance of a knowledge base for KM and knowledge sharing (KS) activities is illustrated for Callisma, a consulting firm. Models for knowledge cycle and conversions are covered to provide further theory for KM research. KS, in particular, is an important concern for a knowledge organization as it is believed that effective knowledge sharing or better knowledge utilization can result in increased organizational capabilities as defined by competitiveness, efficiency, competency, and creativity. The inquiring models based on Kant, Hegel, Locke and Liebnitz mental models are presented to provide an analytical framework for knowledge creating and sharing activities.

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