Are you being served…? An unobtrusive experiment of affective influences on helping in a department store
Bibliographic record
Abstract
Abstract Based on recent theories of affect and cognition, this unobtrusive field experiment predicted and found that induced positive mood improved real‐life customer service behaviors by less experienced sales staff, but had no effect on the behaviors of experienced long‐term staff in several department stores. Positive or negative mood was unobtrusively induced in sales staff in major department stores by a confederate. A second confederate, blind to the mood induction, then asked employees for help to locate a non‐existent item. The frequency and duration of helpful behaviors in response to the request was recorded. Consistent with Forgas' Affect Infusion Model (AIM), less experienced employees showed a significant mood‐congruent pattern in their responses helping more in a positive than in a negative mood. Long‐term employees who could rely on routine, direct access processing were not influenced by the mood induction. The implications of these findings for contemporary affect‐cognition theorizing and for everyday affective influences on interpersonal behaviors and customer service delivery are considered. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".