This paper uses a cognitive theory of firms and organizations, with a focus on learning and innovation.Here, cognition … collaboration between firms, for learning and innovation, in the combination of capabilities between rather than within the firm …

The objective of data mining is the extraction of knowledge from databases. In practice, one often encounters … difficulties with models that are constructed purely by search, without incorporation of knowledge about the domain of application …

The assessment of knowledge derived from databases depends on many factors. Decision makers often need to convince … others about the correctness and effectiveness of knowledge induced from data.The current data mining techniques do not … contribute much to this process of persuasion.Part of this limitation can be removed by integrating knowledge from experts in the …

of those choices, namely, subunit interdependencies and knowledge transfer costs.We test our predictions with a …

This paper gives a survey of insights into inter-firm alliances and networks for innovation, from a constructivist …, interactionist perspective on knowledge, which leads to the notion of 'cognitive distance'.It looks at both the competence and the … myopia that, for the sake of innovation, needs to be complemented by means of outside relations with other firms, at larger …

In this paper we test the relation between cognitive distance and innovation performance of firms engaged in technology …-based alliances.The key finding is that the hypothesis of an inverted U-shaped effect of cognitive distance on innovation performance …

This chapter explains and employs a constructivist, interactionist theory of knowledge that has come to be known as the … distance between firms for innovation by interaction. …