Knowledge management systems and organizational knowledge processing challenges: A field experiment

Authors:
Jungpil Hahn;Tawei Wang
Affiliations:
Krannert Graduate School of Management, Purdue University, 100 S. Grant Street, West Lafayette, IN 47907, United States;Krannert Graduate School of Management, Purdue University, 403 West State Street, West Lafayette, IN 47907, United States
Venue:
Decision Support Systems
Year:
2009

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Abstract

This paper investigates the appropriateness of knowledge management system (KMS) designs for different organizational knowledge processing challenges. Building on the theory of task-technology fit (TTF), we argue that different KMS designs are more effective for different knowledge tasks. An exploratory field experiment was conducted in the context of Internet-based knowledge sharing services to provide empirical support for our hypotheses. The results of our experiment show that a KMS designed to support the goal GENERATE is more appropriate for divergent type knowledge problems because of its affordances for iterative brainstorming processes. Conversely, for convergent type knowledge processing challenges, a KMS with the goal CHOOSE that supports the ability to clarify and to analyze is more effective.