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Record W2120879676 · doi:10.5539/ijms.v3n4p175

An Investigation of TV Advertisement Effects on Customers' Purchasing and their Satisfaction

2011· article· en· W2120879676 on OpenAlexvenueno aff
Seyyed Yaser Ebrahimian Jolodar, Mohammad Esmaeil Ansari

Bibliographic record

VenueInternational Journal of Marketing Studies · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingAdvertisingBusinessClothingMarketingAction (physics)

Abstract

fetched live from OpenAlex

Today advertisement plays an important role in persuading customers to purchase products and services. On the other hand the expenses of advertisement in comparisons of other activities in most companies are very remarkable. Marketing studies showed that traditional advertisement strategies based on massive ads bombarding over a generic audience are not very effective and, in some cases, are at risk of being counterproductive. So, marketers and advertising companies are always looking for more effective and newer communication media and evaluation methods of advertising effectiveness. The present study attempts to examine the effects of Avishan company’s TV advertisement (As a big clothing producer company in Iran) on customers' attention to advertisement, interest for purchasing, desire for purchasing, action of purchasing and eventually customers' satisfaction in Babol city. The results show that the TV advertisement was effective in taking attention of customers, creating interest, desire and action of purchasing. Also, the study revealed that the customers were satisfied from purchasing Avishan’s products.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.039
GPT teacher head0.283
Teacher spread0.244 · 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

Citations36
Published2011
Admission routes1
Has abstractyes

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