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Record W3107889918 · doi:10.25292/atlr.v3i0.278

THE EFFECT OF BRAND TRUST AND SERIVCE RECOVERY TO PURCHASE DECISION ON GARUDA INDONESIA DURING THE COVID-19 PANDEMIC

2020· article· en· W3107889918 on OpenAlexaboutno aff
Ayu Dhea Chaerani, Annisa Nur Azizah, Irwan Chairuddin, Erny Sulistyaningsih

Bibliographic record

VenueAdvances in Transportation and Logistics Research · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessQuarter (Canadian coin)Service (business)AdvertisingCoronavirus disease 2019 (COVID-19)MarketingValue (mathematics)MedicineGeographyComputer science

Abstract

fetched live from OpenAlex

This study aims to determine the effect of Brand Trust and Service Recovery on Purchase Decisions on the Garuda Indonesia airline. In general, the Company's operating income in the 1st quarter of 2020 decreased by approximately 33% compared to the same period last year. This research used quantitative methods. Data collection was carried out by distributing questionnaires to 150 people who had used the Garuda Indonesia airline. This study used an analytical technique pathway. The results show that Brand Trust and Service Recovery have a positive influence on Purchase Decisions. This conclusion is obtained from the results of t test with a significance value of 0,000 < 0.05. Thus H1, H2, H3 are proven, that there is a significant influence of Brand Trust and Service Recovery towards Purchase Decision.

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)0.002
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 score0.084
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.055
GPT teacher head0.372
Teacher spread0.316 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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