682707 event 1749149841 1749150125 Name: Yichen Tang
Dissertation Proposal Meeting
Date: Wednesday, June 25th, 2025
Time: 2:00-3:30 PM (Eastern Time)
Mode: Remote (via Zoom)
Meeting Link: https://events.teams.microsoft.com/event/334385b5-ead7-4e3c-a627-331329d25c7b@482198bb-ae7b-4b25-8b7a-6d7f32faa083 

Dissertation Chairs/Advisor:
Christopher Wiese, Ph.D. (Georgia Tech)

Dissertation Committee Members:
Paul Verhaeghen, Ph.D. (Georgia Tech)
Mark Himmelstein, Ph.D. (Georgia Tech)
Lauren Simon, Ph.D. (University of Arkansas)
Russell Matthews, Ph.D. (The University of Alabama)

Title: Developing and Validating a Framework for Measuring Quiet Quitting Intentions

Abstract: This dissertation proposes a new framework for measuring Quiet Quitting Intention (QQI), defined as the internal decision to withhold discretionary effort while still meeting formal job requirements. Unlike prior definitions that focus only on behavior, this research uses the Theory of Planned Behavior (TPB) to capture the motivational basis of quiet quitting. The construct is divided into two distinct forms: Extrinsic QQI (EQQI), based on external standards like role expectations, and Intrinsic QQI (IQQI), based on personal boundaries or values. Across four studies, the project uses expert interviews, AI-supported item generation, and survey-based validation to develop and refine the measure. Cross-cultural tests are used to evaluate dimensionality, while a nomological network of related constructs—including burnout, engagement, and turnover intention—is used to assess construct validity. This work clarifies the psychological foundations of quiet quitting and offers a tool for future research and organizational assessment.
 

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