Bibliographic record
Abstract
The present study aims at investigating the image aspects of the malls on the utilitarian and hedonic shopping motives.Attractive environment development as an important retail strategy has a positive impact on consumer purchasing behavior.Mall image is our independent variable which is made up of location and convenience, promotions, impulses and arrangement of business types.Utilitarian and hedonic shopping motives are the elements of our dependent variable.The present study is applied in nature, and descriptive in terms of data collection.The statistical population consists of malls customers in Iran from which, 384 questionnaires were collected randomly.Cronbach's alpha and composite reliability were used to determine the reliability of the questionnaire.To determine validity, convergent and divergent validity has been used.The hypotheses of the research have been tested using structural equation modeling.Collected data were analyzed using SPSS and SMART pls (third edition).The results from this study indicate the creating an optimal mental image of the shopping mall in the minds of customers is one of the important factors in attracting new customers and preserving the previous customers, which by increasing the hedonic shopping motives and utilitarian shopping motives increases the willingness of customers to do purchases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.915 | 0.920 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".