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Record W2122604521 · doi:10.1080/15332861.2010.529054

Innovativeness/Novelty-Seeking Behavior as Determinants of Online Shopping Behavior Among Indian Youth

2010· article· en· W2122604521 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Internet Commerce · 2010
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsAthabasca University
Fundersnot available
KeywordsNoveltyNovelty seekingPurchasingFlexibility (engineering)PopulationAdvertisingMarketingBusinessPsychologySociologySocial psychologyMathematicsDemography

Abstract

fetched live from OpenAlex

The purpose of this research is to examine the relationship between innovativeness/novelty-seeking behavior of Indian youth and their online shopping behavior. Three hundred students studying in universities in the northern region of India between the ages of 18 and 24 years participated in the survey. The research findings show a positive relationship between innovativeness/novelty-seeking behavior and online shopping behavior. The article concludes that Indian youth are interested in online shopping Web sites because these Web sites provide the latest information about products and services. Their online shopping is influenced by Web site attributes such as convenience and flexibility. The surveyed population felt comfortable purchasing with cash because online transactions are considered insecure. The article concludes with some suggestions that companies can incorporate to successfully attract Indian youth to their Web sites for shopping.

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.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.052
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.409
Teacher spread0.299 · 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