Evidence map›Paper›PMID 40994574›Full record

ArticleRoyal Society open science2025

Organizations, teams and job mobility: a social microdynamics approach inspired by a large US organization.

Bryan Adams, Valentín Vergara Hidd, Daniel Stimpson, Miesha Purcell, Eduardo López

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Bryan AdamsComputational and Data Sciences, George Mason University, Fairfax, VA, USA.ORCID https://orcid.org/0009-0006-4586-3995
Valentín Vergara HiddComputational and Data Sciences, George Mason University, Fairfax, VA, USA.ORCID https://orcid.org/0000-0003-4172-6310
Daniel StimpsonUnited States Army Acquisition Support Center (USAASC), Fort Belvoir, VA, USA.
Miesha PurcellUnited States Army Acquisition Support Center (USAASC), Fort Belvoir, VA, USA.
Eduardo LópezComputational and Data Sciences, George Mason University, Fairfax, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the modelling approaches used to understand organizational worker mobility are highly stylized, using idealizations such as structureless organizations, indistinguishable workers and a lack of social bonding of the workers. In this article, aided by a decade of precise, temporally resolved data of a large civilian organization of the US Army in which employees can change jobs in a similar way to many private organizations, we introduce a new framework to describe organizations as composites of teams within which individuals perform specific tasks and where social connections develop. By tracking the personnel composition of organizational teams, we find that workers who change jobs are highly influenced by preferring to reunite with past co-workers. In this organization, 34% of all moves across temporally stable teams (and 32% of the totality of moves) lead to worker reunions, percentages that have not been reported and are well-above intuitive expectation. To assess the importance of worker reunions in determining job moves, we compare them with labour supply and demand with or without occupational specialization. The comparison shows that the most consistent information about job change is provided by reunions. We find that the greater the time workers spend together or the smaller the team they share both increase their likelihood to reunite, supporting the notion of increased familiarity and trust behind such reunions and the dominant role of social capital in the evolution of large organizations. Our study of this organization supports the idea that to correctly forecast job mobility inside large organizations, their teams' structures and the social ties formed in those teams play a key role in shaping internal job change.

Indexed as

internal labour marketsmanpower analysissocial networksteamsvacancy system

Identifiers

PMID40994574
PMCPMC12457015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.