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Record W2972154451 · doi:10.5267/j.msl.2019.8.029

The role of commercial advertisements directed to children influencing on parents’ purchasing decision

2019· article· en· W2972154451 on OpenAlexvenueno aff
Sima Ghaleb Magatef, Raed Ahmad Momani

Bibliographic record

VenueManagement Science Letters · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingAdvertisingBusinessPurchasing decisionMarketingPsychology

Abstract

fetched live from OpenAlex

A study was conducted on the role of commercial advertisement directed to children for influencing parents' purchasing decision. The study targeted parents, taking into account all demographic factors. The main objective of the study was to determine the extent of commercial ads influencing on parents' decision either directly without children's effect or with children effect. To achieve this, a random sample was selected from parents of children aged 2-14 years. 530 copies of the questionnaire were distributed, and 474 valid ones were retrieved, which represented for 89.43% of the sample size. After the collection of the questionnaires, the data were recorded and analyzed. The results show that there was an effect of independent variables (advertising campaigns) on the intermediary variable (children), as well as the effect on the dependent variable (parents' purchasing decision). The results also show that the entry of the intermediary variable (children) on the model had a direct and indirect effect, but its effect was relative rather than total. So, there is an effect of the independent variables (commercial ads) on the dependent variable (parents' purchasing decision) with or without the existence of intermediary. Based on the results of the study, the researchers recommended that organizations should design advertisements that target parents directly to convince them to make purchasing decision without their children mediation, and design other advertisements to target children because they can have influence over parents and can convince them to make purchasing decision. In addition, it is necessary for organizations to focus on the content of advertising messages, and to repeat them periodically, taking into account the renewal of content from time to time. They should also select effective ways to post their advertisements, especially on social media platforms in different times.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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