Differential Impact of Web and Mobile Interactivity on E-Retailers' Performance
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
This study investigates the differential impact of machine and person interactivity on both Web and mobile interfaces on e-retailers' operational and financial performance. Based on data from 463 large e-retailers in the United States and Canada, interesting findings are obtained indicating that Web machine interactivity and mobile person interactivity have significantly positive impacts on e-retailers' operational performance, whereas Web person interactivity and mobile machine interactivity do not. Furthermore, machine interactivity on a Web interface (i.e., Web machine interactivity) has a stronger impact than machine interactivity on mobile interfaces (i.e., mobile machine interactivity), and person interactivity is more influential on mobile interfaces (i.e., mobile person interactivity) than on Web interfaces (i.e., Web person interactivity). E-retailers' operational performance is found to have a significantly positive impact on e-retailers' financial performance. Overall, this study provides in-depth insights into the differential roles of machine and person interactivity on Web and mobile interfaces in affecting e-retailers' performance. Implications for research and practice as well as suggestions for future research are discussed.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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