The speed of learning and learning forces

Abstract

In this paper, we propose a model of learning forces to measure and accelerate the speed of learning in knowledge initiatives. The model is built on the assertion that the speed at which companies learn and how they manage underlying learning forces determines their competitive position. Borrowing analogies from the field of physics, we introduce learning forces, learning acceleration, and knowledge value growth concepts to explain the transitions in knowledge capabilities. It is argued that these transitions can have different speeds, vectors (magnitude and direction), and trajectories (path). Further, we consider the changes in the efficiency and effectiveness of knowledge sharing to examine such transitions. The paper builds the argument that the speed and the success of learning depend on whether the vector of knowledge transition and the forces applied are aligned with the direction of the business strategy and whether or not the generated knowledge supports core capabilities (existing or potential) of the organization. Further, we examine how managing forces of friction, unlearning redundant knowledge, and creating a leaner knowledge strategy can improve learning processes.