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Record W2735889172

Evaluating the Impact of Promotion Price, Product Quality, Service Quality, Customer Satisfaction and Repeating Purchase Incentives (Case Study: Amiran Chain Stores)

2017· article· en· W2735889172 on OpenAlexvenueno aff
Shekoufeh Ghezelbash, Hussein Khodadadi

Bibliographic record

VenueThe Journal of Internet Banking and Commerce · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsLISRELIncentiveService qualityProduct (mathematics)Promotion (chess)Quality (philosophy)Customer satisfactionMarketingStructural equation modelingService (business)BusinessPopulationComputer scienceEconomicsMathematicsMicroeconomicsMedicine
DOInot available

Abstract

fetched live from OpenAlex

The aim of this study was to assess the impact of price promotion on evaluating the quality of customer and repeating purchase incentives. This research is an applied study in terms of objective, it is also considered as a causal study. Field study and questionnaire were used to evaluate hypotheses and statistical analysis of data. The population of this research includes customers of Amiran chain stores in Karaj. Finally 300 questionnaires have been completed using appropriate sampling. To test the hypotheses, structural equation modeling and LISREL software were used. According to the analysis of data, the results indicate that the price promotion affects on the product quality, service quality, satisfaction and repeating purchase incentives in Amiran chain stores in Karaj. The product quality and service quality significantly affect satisfaction of customers in Amiran chain stores in Karaj; and satisfaction has a significant effect on repeating purchase incentives in Amiran chain stores in Karaj.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.112
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.137
GPT teacher head0.417
Teacher spread0.280 · 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 teacher head, 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

Citations17
Published2017
Admission routes1
Has abstractyes

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