Tacit Knowledge Spreading Based on Knowledge Spreading Model on Networks with Consideration of Intention Mechanism

摘要

At present, knowledge management (KM) is critical to the success of a firm in digital information era. KM effectiveness and competitive advantages of a firm can be increased and sustained by effectively encouraging employees to propagate useful tacit knowledge across the organization. Tacit knowledge propagates through direct contact among individuals in an organization. Therefore, we consider employees and their contacts as an undirected network, which is also considered as a knowledge exchange network. We model the peculiarities of a tacit knowledge spreading in knowledge network with consideration of intention mechanism, and this model is compared with Susceptible-Infected-Susceptible (SIS) model. We provide simulation and numerical results to support our analyses and results. Results show that the degree distribution of knowledge exchange network and intention mechanism have great influence on tacit knowledge spreading. Our results show that a threshold that governs whether a tacit knowledge can spread across the organization exists. Analysis results can guide KM and digital information management in view of the theoretical and practical aspects.