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Record W1976483959 · doi:10.17722/ijme.v3i1.120

The Effect of Reverse Intergenerational Influence on purchase and Brand Equity of Durable Goods

2014· article· en· W1976483959 on OpenAlexvenueno aff
Swati Ashutosh Kulkarni

Bibliographic record

VenueInternational Journal of Management Excellence · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingBrand preferencePerceptionLoyaltyBrand loyaltyDurable goodPreferencePsychologyProduct (mathematics)MarketingSocializationLoyalty programBusinessBrand awarenessSocial psychologyEconomicsLoyalty business modelMicroeconomics

Abstract

fetched live from OpenAlex

The Intergenerational Influence (IGI) is the transmission of beliefs, perceptions, cognition, attitudes and behaviors from one generation to another. It is a fundamental mechanism by which culture is sustained over time. Its key elements are embedded within socialization theory. Reverse IGI indicates the transmission of beliefs and perception from child to parent. In this study the influences of children on their parent’s decision making for buying durable goods such as cars, mobile phones, laptops, air conditioners, and televisions have been studied. Parents are of age group between 45 and above. The questionnaire was designed and given to 50 respondents for the pilot study. Based upon the findings of the pilot study, the questionnaire was finalized and has been distributed to respondents in Mumbai area. In Preliminary results of a pilot study, respondents were asked to report on a variety of product category of durable goods and their brands. To test for (reverse) IGI, it is investigated if one party’s brand image perceptions, brand consideration, brand preference and loyalty (behavioral and attitudinal) have a significant influence on the other party’s brand awareness, image, consideration, preference and loyalty. In addition to these main effects, gender (of the child) and family communication patterns are expected to influence (reverse) IGI.

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 score0.842
Threshold uncertainty score0.276

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 communication0.0000.000
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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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