Relating e‐satisfaction to behavioral outcomes: an empirical study
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
Abstract Prior work has examined antecedents and behavioral outcomes of satisfaction in an offline setting but few studies explore whether the findings hold for increasingly important online settings. This paper extends the prior work to explore the antecedents of e‐satisfaction and the relations between e‐satisfaction and two new behaviorial outcomes related to an online setting; customers' stated purchasing behavior (i.e. conversion) and actual browsing behavior (i.e. stickiness). Using a sample of 145 predominantly multi‐channel retail firms, the paper highlights two main results. First, existing models that examine the antecedents and consequences of satisfaction in the offline setting, also apply to an online setting. Second, Web site characteristics had a significant impact on all three types of behavioral outcomes, while Web site customer service was a significant driver of only retention/referral outcomes. Further, Web site customer service may be a necessary but not sufficient condition to achieving favourable outcomes in online settings.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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