The influence of mall environment on female fashion shoppers' value and behaviour
Bibliographic record
Abstract
Purpose The purpose of this paper is to explore how the shopping mall environment influences the shopping experience and approach behaviour of female fashion shoppers. Design/methodology/approach Female shoppers were first clustered along the fashion orientation of the stores they patronise. Shoppers' response and behaviour was modelled in an invariant multigroup latent structural path analysis. Paths were initially constrained and then released as required. A total of 286 usable questionnaires were administered using a mall intercept survey method in a regional shopping centre. Participants were probed on their shopping activities, shopping mall perception, product perception, shopping value and approach behaviour toward the mall. Findings A favourable perception of the mall atmosphere elicits a positive perception of the merchandise offering and triggers hedonic shopping experiences. The effect of the mall environment, mediated by product perception, significantly impacts the shopping objectives of middle-of-the-road female fashion shoppers. Mall atmospherics has no or little effect on the utilitarian value of low- or high-fashion oriented shoppers. Hedonic response of fashion forward shoppers is not stronger than that of other fashion shoppers. Research limitations/implications This study was carried out in one regional mall and should be replicated to other locations and markets. A larger sample would allow the inclusion of additional constructs. Practical implications Mall developers and operators are not only in real estate; they are also retailers. The mall environment is central to the perception of merchandise quality, and the shopping experience. Mall operators must be aware that the middle market target group is one that is highly sought after. They should strive to create a tenant mix that satisfies the many layers of fashion shopper needs. Originality/value This study represents a first attempt that investigates the integrated shopping experience of fashion shoppers in a shopping mall setting. It segments shoppers on their actual shopping behaviour rather than psychometrics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".