新员工网络结构与主管支持及破坏的协同演化:基于潜在变化分数模型的研究

Coevolution of Newcomer Network Structures and Supervisor Support and Undermining: A Latent Change Score Approach

JOURNAL OF MANAGEMENT · 2025
被引 0
人大 AFT50ABS 4*

中文导读

研究新员工感知的主管支持与破坏行为如何与其个人社交网络结构(结构洞)相互影响,发现主管破坏会阻碍新员工发展结构洞丰富的网络,而拥有结构洞的新员工反而会遭遇更多主管破坏和更少支持。

Abstract

Despite the recognition that newcomers’ ego networks facilitate their adjustment, little is known about changes in their ego-network structures over time and potential drivers for the network changes. Drawing on coevolutionary theory of network dynamics and integrating insights from research on socialization dynamics, we examine the change-related, reciprocal relationships between perceived supervisor behaviors—specifically support and undermining—and structural holes in newcomers’ ego networks (i.e., the extent to which newcomers connect otherwise disconnected individuals). Using latent change score (LCS) modeling in a longitudinal study of new employees, we found evidence of coevolution: perceived supervisor undermining hindered their development of ego networks with increasingly more structural holes; in turn, newcomers who spanned structural holes in their ego networks experienced increasingly more supervisor undermining. Additionally, those whose networks are rich in structural holes perceived increasingly less supervisor support over time. These findings have implications for research on socialization and structural holes.

组织社会化社会网络领导力纵向研究方法