Organizational and population level learning as engines for career transitions
基于24个深度访谈，本文提出无边界组织会改变职业理论和实际职业流动模式，并说明组织与种群层面的学习如何影响个体在组织内外的职业转型。
Abstract Building inductively on twenty‐four in depth interviews, the authors argue that boundaryless organizations will alter both career theories and actual career mobility patterns. The paper illustrates how both organizational and population level learning can affect individual job transitions within and cross organizations. The three evolutionary learning steps of variation, selection and retention all remain important, but the impact of variation processes may increase. Boundaryless organizations will thus generate career patterns reflecting an underlying logic of organizational learning rather than producing simple atomistic exchange between unfettered actors.