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Record W7152094997 · doi:10.14710/jiab.2024.40203

THE EFFECT OF SOCIAL MEDIA AND VIRAL MARKETING TOWARD PURCHASE DECISION AT SHOPEE

2024· article· W7152094997 on OpenAlexaboutno aff
Inez Julieta Khasanah, Sudharto Prawata Hadi, Dinalestari Purbawati

Bibliographic record

VenueJurnal Ilmu Administrasi Bisnis · 2024
Typearticle
Language
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)RespondentViral marketingSocial mediaRevenueSample (material)Social media marketingData collection

Abstract

fetched live from OpenAlex

Technology opens new channel namely E-commerce that allows its consumer to make purchase decisions through mobile phones. Shopee revenue reported to be fluctuated and decreased at the fourth quarter of 2021 to first quarter of 2022. The company also experienced an increase in losses in the first quarter of 2020, first quarter of 2021 and first quarter of 2022. This research aims to understand the effect of social media and viral marketing toward purchase decision at Shopee. This research uses quantitative data which use questionnaire from the sample of 100 Diponegoro University Students who use Shopee. This research is using non probability sampling and data analyzed using SPSS. The discussion resulted that the social media variable have positive significant influence on the purchase decision, the viral marketing variable have positive significant influence on the purchase decision, the social media and viral marketing variable simultaneously have positive significant influence on the purchase decision. The company are recommend to increase the social media and viral marketing also for further research it is recommend to explore more about the respondent identity.Keywords: Purchase Decision; Social Media; Viral Marketing

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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.

Study designOther design
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

Citations0
Published2024
Admission routes1
Has abstractyes

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