JOURNAL ARTICLE

Getting socialized but trying not to get stuck: early career professionals' liminality in dual socialization processes.

  • Published In: Human Communication Research, 2024, v. 50, n. 4. P. 480 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Woo, DaJung; Acosta, Rachel M 3 of 3

Abstract

This article examines the experience of liminality—being in an in-between state—among early career professionals in the United States who simultaneously undergo dual socialization: adapting to their current organization while engaging in vocational and organizational anticipatory socialization (VAS/OAS) for their next career stage. Through a longitudinal qualitative study involving repeat interviews with 22 full-time early career professionals, the research identifies how participants construct liminality as either a planned or emergent phase, the tensions arising from navigating organizational membership alongside future career aspirations, and the communicative strategies they use to manage these tensions. The study proposes a refined socialization model that incorporates voluntary liminality as a distinct phase between encounter and exit, emphasizing permeable organizational boundaries and the dynamic interplay between current organizational integration and future career preparation. Findings highlight the normative nature of liminality in contemporary careers, shaped by factors such as job mobility, organizational change, and external disruptions like the COVID-19 pandemic, and suggest practical implications for managers to support early career employees' complex socialization processes.

Additional Information

  • Source:Human Communication Research. 2024/10, Vol. 50, Issue 4, p480
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0360-3989
  • DOI:10.1093/hcr/hqae014
  • Accession Number:180172328
  • Copyright Statement:Copyright of Human Communication Research is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.