This study explores the gaps of knowledge management (KM) activities for the enterprise to build a framework that would analyze the corporate knowledge needs, and identifies any inhibitors to success of the implementation activities of the KM system. Based on the literature review, expert interviews and questionnaire, we categorize the five management gaps in implementation of KM activities and illustrate the links between KM activities and corporate performance. The results also reveal that corporate performance is significantly influenced by these management gaps.
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Artificial Intelligence