Yet, the current research is merely exploratory and therefore subject to some limitations. In particular, we believe that the knowledge map proposed in the current study and other conventional maps are not mutually exclusive, but complementary. In that regard, we may suggest the following future research themes. First, we considered only the process-perspective knowledge map. However, organization-perspective knowledge maps, found in other traditional knowledge mapping approaches, are still useful. Thus, the performance of knowledge retrieval and the effectiveness of knowledge utilization may be enhanced if the two types of knowledge maps can be linked together. Second, the linkage with contents-perspective maps deserves attention. The contents-perspective map intends to classify knowledge artifacts according to the subject matters contained in the knowledge sources. It assists knowledge users in identifying the relationships among knowledge items based on the contents of knowledge itself, independent of related tasks. It also facilitates filtering knowledge by the fidelity and reliability of knowledge. Such supportive methods as data mining in general, and text mining in particular, may be employed to this end. Finally, a more systematic and automatic tool needs to be proposed in developing a knowledge map since the manual approach becomes hopeless as the knowledge map becomes intractably large and complex.