From a Spark to a Sweeping Fire: An Integrative Conceptual Review of Group Turnover and a Theoretical Exploration of Its Development

• 成果类型: Review
• 署名作者: Feng, Jie; Li, Junchao (Jason); Chen, Su; Rubenstein, Alex L.
• 署名单位: Rutgers University System; Rutgers University New Brunswick; Rutgers University System; Rutgers University New Brunswick; Xiamen University; State University System of Florida; University of Central Florida; Rutgers University System; Rutgers University New Brunswick
• 刊物名称: JOURNAL OF APPLIED PSYCHOLOGY
• ISSN/ISSBN: 0021-9010
• DOI: 10.1037/apl0001118
• 发表日期: 2024
• 关键词: group turnover; turnover pathways and destinations; turnover temporality; group turnover development; group emergent states

摘要

The phenomenon of group turnover has generated substantial yet disconnected scholarly interests. Despite valuable insights gained from the collective turnover literature as well as parallel research concerning related or coordinated quitting, a holistic understanding of the unique group turnover phenomenon is needed, both to synthesize existing research across multiple domains and disciplines and to kindle new inquiries regarding its dynamic nature and developmental process. To this end, we begin by conducting an integrative review of research relating to group turnover, reinterpreting it by identifying its common pathways as a function of varying triggers, temporal patterns, and departure destinations. We then leverage the groups literature to explicate group turnover's self-reinforcing and dynamic nature and propose a three-dimensional Interdependence, Temporality, and Emergence (ITE) framework that accounts for its developmental process. Using this framework, we develop an illustrative set of propositions regarding how ITE-related group properties affect the extent to which individual departures might escalate into group turnover of a larger scale and faster speed. Our emphasis on groups as a unique unit of reference thus provides an important conceptual refinement and extension for understanding collective turnover-shifting from a static focus on aggregate exit (rates) to a dynamic focus on the often-coordinated, temporally evolving nature of multiple group member quit events.