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Part Time Students’ Benefit Perception on Online Shopping in Malaysia

2009· article· en· W1920759651 on OpenAlexvenueno aff
Razinah Hassan, Erlane K Ghani, Jamaliah Said

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsnot available
Fundersnot available
KeywordsPreferenceAdvertisingPerceptionPsychologyHumanitiesSocial psychologyBusinessArtMathematicsStatistics

Abstract

fetched live from OpenAlex

In Malaysia, studies on consumers’ benefit perception have been extensively examined. Results of the studies show that Malaysian consumers are still sceptical in this form of shopping due to factors linking to their preference in becoming recreational shoppers. These studies, however, examined this issue using consumers in general as their sample study. This study used a more specific sample group, namely, the part-time students, in examining consumers’ benefit perception on online shopping in Malaysia. Part-time students were chosen in this study as they represent the group of people whose time are highly occupied with working and studying. Therefore, they are likely to become convenience shoppers and may opt to shop online. The results show similar pattern to previous studies using other samples. The findings shed some lights to the marketing managers on the importance of the internet as a shopping medium to cater for people who are lacking luxury of time. Key words: Online shopping; part-time students; Malaysia, benefit perception Resume: En Malaisie, on a beaucoup etudie la preception des avantages des consommateurs. Les resultats de ces etudes montrent que les consommateurs malaisiens restent toujours sceptiques sur cette forme d’achat en raison des facteurs lies a leur preference d’etre des acheteurs de divertissement. Ces etudes, toutefois, ont examine ce sujet en utilisant les simples consommateurs en tant que leur echantillon d'etudes. Cet article a utilise un groupe de consommateurs plus specifique, a savoir les etudiants a temps partiel, pour examiner la perception des avantages de l’achat en ligne des consommateurs en Malaisie. Les etudiants a temps partiel ont ete choisis dans cette etude car ils representent le groupe de personnes tres occupees par le travail et les etudes. Par consequent, ils pourraient probablement devenir des acheteurs qui preferent la commodite et opter pour l’achat en ligne. Cette etude montre des resultats similaires a ceux des etudes precedentes utilisant d'autres echantillons. Ces decouvertes permettent de mettre en lumiere l'importance de l'Internet comme un moyen d'achats pour les managers de marketing, a fin qu’ils puissent penser a mieux repondre aux besoins des personnes pour qui le temps est un luxe. Mots-Cles: achat en ligne; etudiants a temps partiel; Malaisie; perception des avantages

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.019
GPT teacher head0.307
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes1
Has abstractyes

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