intangibility of knowledge and unclear relationship between inputs and outputs has caused difficulties in knowledge production control. in this paper we present a model to clarify the relationships between inputs and outputs in knowledge production and develop knowledge production functions. in order to accomplish this, we extract resources of knowledge production and product utility indices fr...

organizational culture has a considerable impact on investment and acceptance of a new technology system such as knowledge management and especially it can be led to success or failure of knowledge management programs in organization. according to scientific evidences, human characteristics are effective on knowledge management and the process of knowledge management by people contains their pe...

The Knowledge Maturity Model is a first approach to evaluate the state of the art within a company in the KM domain, taking in account all the multiple aspects of a KM strategy. The KMM proposed here has been elaborated from previous works by Thomson CSF and Microsoft, by the French Knowledge Management Club (“Club Gestion des Connaissances”), composed of several companies involved in KM in the...

Top-performing machine learning systems, such as deep neural networks, large ensembles and complex probabilistic graphical models, can be expensive to store, slow to evaluate and hard to integrate into larger systems. Ideally, we would like to replace such cumbersome models with simpler models that perform equally well. In this thesis, we study knowledge distillation, the idea of extracting the...

today’s world economy situation forces enterprise organizations toward more soft and flexible organization, management, and production processes. they need to explore the most suitable knowledge management (km) tool not only to identify gaps and overlaps but also to maintain and support innovation cross organizations. in this study, a multiple-experts-multiple-criteria decision making model is ...

this paper aims to determine the perceptual factors affecting the faculty member’s knowledge sharing intention. this research has been set within the frame of planned behavior theory and has been combined of the two prediction behavior models. knowledge sharing intent is the dependent variable of model, mediator variables are including: attitudes, subjective norms and perceived behavioral contr...