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Record W2014036961 · doi:10.2753/jec1086-4415100202

The Impact of Infusing Social Presence in the Web Interface: An Investigation Across Product Types

2005· article· en· W2014036961 on OpenAlexaff
Khaled Hassanein, Milena Head

Bibliographic record

VenueInternational Journal of Electronic Commerce · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Marketing and Social Media
Canadian institutionsMcMaster University
Fundersnot available
KeywordsClothingProduct (mathematics)HeadphonesBusinessAdvertisingSocial mediaMarketingPsychologyEmpirical researchWorld Wide WebComputer scienceEngineeringPolitical science

Abstract

fetched live from OpenAlex

Many on-line stores have little emotional or social appeal and lack human warmth. For some products, such as apparel, increasing a firm's social presence through socially rich descriptions and pictures will have a positive impact on attitudinal antecedents to purchase. The appropriateness and need for human warmth and sociability differ across types of products or services, however. An empirical investigation compared apparel (a product for which consumers seek fun and entertaining shopping experiences) and headphones (a product for which consumers primarily seek detailed product information). Unlike apparel, higher levels of social presence on Web sites selling headphones did not have a positive effect on attitudinal antecedents. The implications of these findings are discussed, and subjects for future research are outlined.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.403
Teacher spread0.378 · 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 source (direct Gemma or distilled Codex), 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

Citations368
Published2005
Admission routes1
Has abstractyes

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