An empirical analysis of surface acting in intra‐organizational relationships
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary Prior research analyzing surface acting—employees' regulation of emotional expressions—has mostly focused on the interactions between front‐line employees and their customers in service industries and paid very little attention to intra‐organizational relationships. With an aim to shed light on this important yet relatively unexplored area, I developed a theoretical model analyzing the antecedents and outcomes of surface acting within organizations, by drawing on the sociometer theory and self‐presentation theory frameworks. To test the model, I conducted a cross‐level field study in a sample of 65 work groups and 478 employees in two organizations, located in a large city in Northern California. I have collected the data from two sources, including employees and their supervisors who rated their performance. Results indicated that employees were more likely to engage in surface acting when their affective traits and personal goals were less congruent with work environment. Surface acting was also positively related to perceived organizational politics and self‐monitoring. As for outcomes, surface acting was positively related to emotional exhaustion and negatively to performance. I discuss limitations, implications, and future research direction. Copyright © 2012 John Wiley & Sons, Ltd.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it