A Post-Pandemic Analysis of the Relationship Between Firm Size and Job Embeddedness in Public Accounting Firms
Bibliographic record
Abstract
This study examines the relationship between firm size and an employee’s level of job embeddedness. A quantitative survey design was used to gather evidence from full-time accounting professionals working in public accounting firms across the United States. With a sample size of 136 full-time employees, results suggest that there is a positive relationship between firm size and job embeddedness. Two different measures of firm size were analyzed in the study. First, the number of full-time employees in the office was regressed on job embeddedness. Results indicated that the relationship was positive and significant. Second, the number of offices was used to measure firm size. The mean difference was calculated for job embeddedness and each of its six dimensions for firms with only one office, and those means were compared to the means of firms with two or more offices. Results indicated a positive relationship between job embeddedness and firm size; however, only the difference of means for the community fit dimension of job embeddedness was significant.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".