Exploring the effects of intellectual capital architectures on organizational ambidexterity. An fsQCA approach
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Here we look at incorporating development education into classroom life and professional practice by examining the issue of teachers who teach development education but who do not have a strong knowledge base in global development issues. Where will they l ...
In speckle interferometry (SI), temporal signals are amplitude- and frequency-modulated signals and exhibit a fluctuating background. Prior to phase computation, this background intensity must be eliminated. Here our approach is to build a complex signal f ...
This chapter looks at the opportunities and uncertainties of globalisation in terms of the production of world knowledge, with an emphasis on the factors that limit the distribution and fair use of this knowledge for the benefit of less advanced countries. ...
A large and growing body of empirical research shows that social relationships and the networks these relationships constitute are influential in explaining the processes of knowledge creation, diffusion, absorption and use. We refer to such networks as “k ...
The world knowledge divide has led to demands for alternative ways of improving international cooperation in order to contribute to a reduction in the scientific disparity and inequalities in the availability of human capital between the North and the Sout ...
A large and growing body of empirical research shows that social relationships and the networks these relationships constitute are influential in explaining the processes of knowledge creation, diffusion, absorption and use. We refer to such networks as 'k ...
Priorities are used to control the execution of systems to meet given requirements for optimal use of resources, e.g., by using scheduling policies. For distributed systems it is hard to find efficient implementations for priorities; because they express c ...
In this paper we introduce a budgeted knowledge transfer algorithm for non-homogeneous reinforcement learning agents. Here the source and the target agents are completely identical except in their state representations. The algorithm uses functional space ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of ...
