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 …

stakeholders and their actor games, the use of concepts, the creation of collective knowledge and, the prescription printed in the …

world in which only a minority with the right knowledge and skills--the right "human capital"--reap the majority of the … vicious one, as a lack of human capital leads to family breakdown, unemployment, dysfunction, and further erosion of knowledge …

world in which only a minority with the right knowledge and skills--the right "human capital"--reap the majority of the … vicious one, as a lack of human capital leads to family breakdown, unemployment, dysfunction, and further erosion of knowledge …

Posing a major challenge to economic orthodoxy, <i>Imperfect Knowledge Economics</i> asserts that exact models of … attention to the inherent limits of economists' knowledge, they introduce a new approach to economic analysis: Imperfect … Knowledge Economics (IKE). IKE rejects exact quantitative predictions of individual decisions and market outcomes in favor of …

world in which only a minority with the right knowledge and skills--the right "human capital"--reap the majority of the … vicious one, as a lack of human capital leads to family breakdown, unemployment, dysfunction, and further erosion of knowledge …

In this paper, we propose a method to locate the company's crucial knowledge for improving the quality of decision … automotive company for identifying the crucial knowledge, aiming at choosing and justifying the necessary investment to … capitalize on the knowledge. This method will then be used as basis for a dialogue between the stakeholders involved in the …

Knowledge is increasingly playing a key role in achieving organizational success in modern organizations notably in … leveraging core business competencies, accelerating innovation and time to market, improving cycle times and decision making … knowledge in modern organizations, knowledge management has emerged as a scientific discipline. Nevertheless, the dominant view …

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 …