So, it proposes a typology of KM solutions present on the market that comprehends ten categories, each of which emphasizing specific KM aspects.It also intends to identify which of the knowledge conversion processes (Nonaka and Takeuchi, 1995) is dominantly supported by each software category.
This paper concludes by presenting some trends in KM software development and suggesting some guidelines for the launching of KM programs supported by information technology.
We can define competitive intelligence as the set of inter-related measures that aim at systematically feeding the organizational decision process with information about the organizational environment in order to make possible to learn about it, to anticipate its evolution and to take better decisions in consequence.
The intelligence of knowledge workers is said to have become the fuel of organizational growth.
In the knowledge society, workers are supposed to be students, teachers and researchers at a time: we need to have student skills to learn fast in a continuously changing world; we need to have the skills necessary to organize and share our knowledge, as teachers; and we are expected to create new knowledge as researchers are supposed to do.
So, we consider competitive intelligence as an important component of knowledge management (KM).
Davenport and Prusak (1998) describe KM as a set of managerial activities related to the generation, codification and sharing of knowledge.
What physically is transported by informatics systems or natural communication is data, in digital or analogical format.
What distinguishes data from information is the sense, that only exists as the result of the cognition capacity of the receiver working on the data received.
Although technology is not the main component of KM, it would be a naive attitude to implement KM without considering any technological support.
The main objective of this paper is to help in this particular task.
And knowledge about the technological, commercial, competitive environment is part of organizational knowledge.