Understanding Quiet Quitting: organizational citizenship behavior reductions in the \npost-pandemic workplace
Bibliographic record
Abstract
In this study, I seek to understand what has led workers to engage in a trend known as \nQuiet Quitting, where employees continue to perform their work but choose not to go above and \nbeyond the formal obligations of their employment. I propose that this phenomenon can be \noperationalized as reduction of organizational citizenship behaviors and it exists as a result of \nreturn to the pre-pandemic status quo in which employees are no longer allowed to work in a \nprimarily remote work environment. \nI used three well-known theories to explain the possible ways in which the return to a \nprimarily in-person work environment may have led employees to stop going above and beyond \nin their obligations: psychological contract breaches, work engagement, and adaptive cost. Using \na cross-sectional questionnaire, I gathered data from 251 participants on each of those constructs \nas well as their beliefs in Quiet Quitting and organizational citizenship behaviors. I analyzed the \ndata using partial least squares structural equation modeling. \nThe results suggest that employees being mandated back to a primarily in-person work \nenvironment has a negative relationship with meaningfulness. This, in turn, has a negative \nrelationship on their performance of discretionary behaviors. Also, the results suggest that the \nadaptive costs associated with the COVID-19 drained workers’ resources such that they were \nless likely to engage in those behaviors whether they wanted to or not. \nThe COVID-19 pandemic was a largely unprecedented event in modern history and the \nmeasures to mitigate its spread brought several changes to how work is performed. This study \ntries to understand the lasting impacts of those changes and the lessons they bring to managers. It \nwill help advance the scholarship on remote work and how three important organizational \nbehavior theories apply to workers in the post-pandemic world. It will also provide further \ninformation to help practitioners make informed decisions on the future of the workplace and \nhow much flexibility to give employees in how they perform their jobs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".