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 …

study holds important lessons for late industrializing countries entering into a knowledge intensive sector. …

diffuse new knowledge is key in enabling countries to capitalise on challenges brought about by rapid technology …-driven transformations rather than succumb to their adverse effects. In particular, we look at the importance of new knowledge emanating from … both domestic and foreign sources in the innovation process in view of the contention that "international technology …

separately from innovation indicators, and the importance of language based on codified and tacit knowledge is emphasized. The …This paper examines the social impacts of the development of science, technology and innovation indicators. The … knowledge is codified in manuals, and the tacit knowledge is held in overlapping communities of practice that develop the …

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 …

innovation framework. …

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. …