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Record W2573387273 · doi:10.5539/ijms.v9n1p139

The Influence of the Store Internal Dimensions on the Customer Loyalty: A Comparative Study between Sameh Mall and Khalid Mall

2017· article· en· W2573387273 on OpenAlexvenueno aff
Jamal M. M. Joudeh

Bibliographic record

VenueInternational Journal of Marketing Studies · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsnot available
FundersApplied Science Private University
KeywordsBusinessMarketingLoyaltyProduct (mathematics)Loyalty business modelShopping mallSample (material)Quality (philosophy)AdvertisingService qualityService (business)Mathematics

Abstract

fetched live from OpenAlex

Customer loyalty is among the factors that increase the competitive advantage of stores and raise its market share among the other stores. Nowadays, the issue of loyalty and customer loyalty is becoming a trend among all stores even the small stores and supermarkets that are found in the local provinces (Rajic & Dado, 2013). The current study aims at understanding the influence of the internal dimensions of the store on the customer loyalty between Sameh mall and Khalid mall. The variables which were taken into perspective were (product quality, product range, employees, physical evidence, and prices). The sample of the study contained customers who attended both stores; 350 individuals were selected to fulfill the questionnaire and 340 questionnaires were retrieved. The results of the study showed that the price was the most influential factor that influences the loyalty of the customer for the benefit of Sameh Mall.

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)0.002
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.353
Teacher spread0.277 · 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".

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Citations2
Published2017
Admission routes1
Has abstractyes

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