… Secondly, in our model, we have integrated the knowledge transfer and innovation
process and proposed a new model. For example, in past studies, this index measured the …

… or gained knowledge with other people which may or may not be from their networks, and
… sharing stage, individuals gain knowledge from their large networks such as social media …

… In this section, we define the network selection decision factors and present how AHP
and GRA cooperate to determine the best available network for the user. For the purpose of …

… -free networks are more conducive to knowledge transfer than conventional networks are […
on the matching degree of partner selection in knowledge transfer and analyzes the role of the …

… The advantages in language and culture allowed foreign investors to understand and
engage in a complex and nuanced local business network, promoting knowledge transfer by …

… of a network and specifying the transfer functions of interest, … consistent identification of each
transfer function of interest. … desired transfer functions in a potentially complex network in a …

… In current work, we rely on a recurrent neural network for predictive modeling. The overall …
of the data selection approach for cross-building knowledge transfer. Evaluation work was …

… This article reviews studies on the knowledge transfer theory (… between KTT and crossover
selection, promoting crossover … KTT in the field of selection of athletes for professional sports …

… network theory, we contribute to the literature in several ways. First, very little attention has
been paid to partner selection, despite work emphasizing that partner selection is a … selection …

… it can transfer useful information from solving one problem instance to solve another related
problem instance. However, we show that the state-of-the-art transfer al… a knowledge transfer …