… The question of how characteristics of the member–member or social network affect knowledge
transfer is receiving increasing attention. One important finding to emerge from this work …

… Managers must decide which cues to use in order to select knowledge transfer partners.
These results, both quantitative and qualitative, suggest that, unlike strategic similarities, …

… We assume that knowledge transfer takes place through a myopic barter exchange. In this
model when two agents meet, the decision is simply whether to trade or to walk away. For …

… Using our knowledge transfer mechanism to add depth to Inception modules, we … on
knowledge transfer between neural networks is motivated by a desire to train deeper networks than …

… conditions under which tacit knowledge constrains entry mode selection. We examine how
… strategies of firms that already possess established networks of foreign subsidiaries, with a …

… model and distribution of learning and knowledge transfer. … In collaborative work environments,
the transfer of knowledge … by doing and knowledge transfer in the worker-task selection, …

… networks, as it supports a high data rate and uses an unlicensed spectrum. In hybrid WiFi-VLC
networks, … an intelligent network selection that is capable of reducing network complexity …

… in the transfer learning on modular neural networks are optimized by a tournament selection
… A modular neural network contains a layer of multiple modules (small layers that may be …

… The relationship and network literature has primarily focused on particular partner types, for
… means of appropriate knowledge transfer. Varying needs for external knowledge, and thus …

… , such as strategic intent and motives, organizational capabilities, partner selection, and trust…
routines, systems, and social networks, this study found that knowledge that is more deeply …