The implementation of purchasing omnichannel marketing based through the expansion of the UTAUT 2 model ,
Bibliographic record
Abstract
This study studies the influence of omnichannel service benefits in customer product purchasing decisions and investigates the omnichannel adoption behavior of customers in fashion apparel retail in Bali. Data collection is completed twice in stages I and II, covering fifteen to thirty days (15-30). The population in this study is a group of Balinese customers with high adaptation to technology. The maximum sample in this study is 210 respondents. The study findings reveal that their path coefficient values supported some hypotheses while some others were not supported. The research findings indicate that the variables of service integration and perceived effectiveness cannot be proposed to expand the UTAUT 2 model. The technology familiarity variable can be the variable proposed to expand the UTAUT 2 model. This study’s findings confirm the inconsistent relationship between the effect of intention to purchase apparel products on product purchase behavior that could be overcome by studying behavioral intention to use behavior using a longitudinal method. Implications of research through the data collection method involves two stages of research by collecting the same sample group, which is declared to be able to observe changes in customer behavior.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".