Exploring the Application of Both Internet of Things and Artificial Intelligence under the Omni Channel from the Perspective of Drama Theory
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
The ability to establish a single business platform with a unified front-end and back-end system to deliver the experience becomes the key factor in the Omni-channel. This study will adopt the transactions between the dealer and the consumer to match to a drama performance and quote actors as dealers, the audience as consumers, and the scene as physical stores and virtual access to the shopping environment. We applied purposive sampling towards consumers, who have had experiences in purchasing at chained apparel retail stores through either physical or virtual access, having collected 407 valid questionnaires in total. This study used the method of context simulation, and divided the consumers into two different sample groups based on different power influence. This study suggests to in the future the retailers use the consumer situation created by the Internet of Things and artificial intelligence to have consumers immersed in an environment that stimulates their purchase intention, as well as to arouse consumers' inner need, in order to increase the intention, frequency, and promotion price of consumers' purchasing behaviors.
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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 | 0.001 | 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