The management of knowledge is frequently identified as an important antecedent of innovation (Antonelli, 1999; Carneiro, 2000; Dove, 1999; Nonaka & Takeuchi, 1995). However, very little empirical research has specifically addressed antecedents and consequences of effective knowledge management. Using data collected from 443 New Zealand firms, a knowledge management instrument, which comprises ...

This article develops a model of organizational knowledge acquisition in terms of modern psychological, sociological, economic and management theories by deconstructing the terms involved: an organization as a collective agent having goals and capabilities to achieve them; knowledge as the hidden state variables imputed to an agent as the basis of its capabilities; and acquisition as the reprod...

Knowledge Management (KM) has become a critical component for maintaining competitive advantages. Most existing research looks at individual industries or general concepts; few studies have investigated KM use in Small and Medium-Sized Enterprises (SMEs). This research empirically investigates factors affecting the adoption of KM. Results indicate that important factors maturing of Information ...

We have looked at the process of discovery as an aspect of reasoning about knowledge, particularly in relation to problems of knowledge acquisition or learning. In those problems we have found to be of interest, a body of knowledge to-be-acquired may be infinite. Still, it can be "learned" through discovery of a model that correctly represents the knowledge in some finite way. Realistically, ex...

Experience contributes to tacit knowledge acquisition but its role especially in the academic domain remains unclear. This study investigates the role of experience in tacit knowledge acquisition in Malaysian academia using the mixed methods approach with grounded theory as the qualitative approach followed by survey. It is discovered that tacit knowledge is knowledge internalized by the academ...

Machine learning and knowledge elicitation are different but complementary approaches to knowledge acquisition. On the face of it there are large potential gains to be reaped from the integration of these two knowledge acquisition techniques. Machine-expert collaborative knowledge acquisition combines these approaches by placing the machine learning system and the human expert as partners in th...

A novel method for extracting, representing and propagating qualitative correlations among hypotheses as confirmatory or disconfirmatory evidence of uncertain reasoning is presented. First, two new concepts, qualitative correlations among hypotheses and qualitative correlation propagation, are introduced. Then, an algorithm for extracting and representing qualitative correlations among hypothes...

While many researchers have qualitatively examined the affordances and constraints of AR in educational settings, only few studies exist that tried to quantify the effect of AR on learning performance. To contribute to filling this research gap, we conducted a pretest-posttest-posttest crossover field experiment with 24 participants at a mathematics exhibition to measure the effect of AR on acq...