An Exploratory Study on Shopper Typologies in Malaysia
Bibliographic record
Abstract
Abstract: There is an increasing trend of Malaysians shopping for leisure and spending their free time in shopping malls. Consumer shopping behavior has a plethora of research done. However, little intention has been given to summarizing the salient conclusions that can be drawn from the extensive study of segmentation research on Asian populations, particularly in Malaysia. This study aims to profile different types of shopper typology based on psychographic market segmentation statements and its differences with shopping motives. The difference of gender in each cluster was examined. Quota sampling was used in selecting 200 respondents in one of the university in Malaysia. In brief, all the respondents can be grouped into three main groups namely, economic shoppers, addictive shoppers and convenience shoppers. There was difference in gender found among economic shoppers. Different types of shoppers might lead to different implications to retailing industry and specifically the management of shopping malls.Key words: Shopper Typology; Gender Differences; Shopping MotivesResume: Les malaisiens ont une tendance croissante de considerer le shopping comme un loisir et de passer plus de temps libre dans les centres commerciaux. Il y a une plethore de recherches effectuees sur le comportement d'achat des consommateurs. Toutefois, on n’a guere prete d’attention a resumer les conclusions les plus marquantes qui peuvent etre tirees de l'etude approfondie de la recherche de segmentation sur les populations asiatiques, et en particulier en Malaisie. Cette etude vise a etablir les differents types de la typologie de consommateurs sur la base des declarations psychographiques de segmentation du marche et les differences avec des motifs commerciaux. La difference de sexe a ete examinee dans chaque groupe. L'echantillonnage par quotas a ete utilisee dans la selection des 200 repondants dans l'une des universites en Malaisie. En bref, tous les repondants peuvent etre regroupees en trois groupes principaux, a savoir les consommateurs economiques, les consommateurs accros et les consommateurs pour la commodite. Une difference de sexe a ete constatee chez les acheteurs economiques. Differents types de consommateurs pourraient conduire a des consequences differentes pour l'industrie de vente au detail et en particulier pour la gestion des centres commerciaux. Mots cles: Typologie de consommateur; Differences de sexe; Motifs commerciaux
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".