… ing an effective and fast algorithm for network selection with contextual evolution. … network
selection model that takes the diverse and asymmetric downlink-uplink features of network …

… the learner vehicles, where the knowledge on network can be transferred from the expert …
access networks available to vehicles, we propose a joint access network selection and power …

… knowledge transfer for autonomous path selection. In the training phase, we implement the
classic shortest path routing algorithm [25] and load balancing algorithm [26] on the network …

… In conclusion, social network researchers have employed network analysis method to
enrich our understanding of the dynamic processes of knowledge transfer, shed light on the …

… knowledge transfer within an organization and among organizations. The second objective
was to explore how certain environmental attributes facilitate or hinder knowledge transfer …

… innovative network partner selection model based on knowledge transfer and explore the …
selection modes in the innovation network and the impact on system knowledge transfer …

… Knowledge relevance is a prerequisite for forming cooperative relations, and when knowledge
sharing is embedded in collaborative networks, knowledge transfer takes place as part of …

… as an effective framework to enable firms' knowledge transfer. … network that affect the level
of knowledge transfer performance of firms, viz., network size, network heterogeneity, network …

… antecedents’ effects on knowledge transfer using social capital and social network theories.
… sources’ expertise will be critical to the selection of the source. In other words, if the recipient …

… relevant articles through a consensus screening of abstracts and a selection of articles. … as
knowledge brokersConceptual framework reflects knowledge transfer and networking theory: …