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One hundred years of attrition research (2017)_OCR

A century-spanning review of employee turnover theory and research that traces how scholarship moved from atheoretical cost-control studies to rich models of why people leave, why they stay, and how collective turnover shapes organizations.

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What it’s about

Drawing on nearly 100 years of combined research experience, four leading turnover scholars chronicle the evolution of employee turnover research across six historical epochs, from the earliest practitioner cost studies of the 1910s through the foundational March-Simon, Mobley, and Price models, the unfolding-model 'counter revolution,' and the 21st-century rise of job embeddedness, attitudinal trajectories, and collective turnover. The review explains the key constructs (job satisfaction, perceived alternatives, quit intentions, shocks, embeddedness, and proximal withdrawal states) and the methodological advances (the standard research design, survival analysis, SEM, qualitative model-testing, and panel/random-coefficient modeling) that propelled the field. It is an indispensable map for anyone who wants to understand both why employees voluntarily sever employment ties and how to manage retention with evidence-based strategies.

The through-line

Who it’s for
A turnover scholar, HR strategist, or applied psychologist who wants to understand why employees leave or stay and how to predict and manage attrition.
The problem
Employee turnover is costly (90–200% of annual salary), disrupts productivity, drains human and social capital, and undermines organizational performance. Researchers and managers feel overwhelmed by a sprawling, century-old literature and uncertain which theories, constructs, and methods are trustworthy and current.
The plan
  1. Trace turnover scholarship chronologically across six clarifying epochs.
  2. Master the foundational constructs—satisfaction, alternatives, quit intentions, shocks, embeddedness.
  3. Adopt sound methodologies (standard research design, survival analysis, SEM, panel/trajectory models).
  4. Distinguish leaving from staying and functional from dysfunctional turnover.
  5. Apply context-rich, multilevel, and dynamic perspectives to predict and manage turnover.
The payoff
Researchers build cumulative, context-rich, dynamic theories that advance the field. · Managers identify who is leaving, why, and where they go, and intervene effectively. · Organizations retain high performers and central network actors and project performance impacts.

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