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Record W2581410010 · doi:10.22334/jbhost.v2i1.63

MEASURING GUEST SATISFACTION AT BENDEGA RESTAURANT, AT RENON VILLAGE IN DENPASAR IN ASEAN ECONOMY COMMUNITY (AEC) ERA

2016· article· en· W2581410010 on OpenAlexaboutno aff
I Ketut Sadia, I Nyoman Winia, I Ketut Redjasa

Bibliographic record

VenueJournal of Business on Hospitality and Tourism · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsCompetition (biology)Service (business)MarketingBusinessQuarter (Canadian coin)DocumentationCompetitor analysisAdvertising

Abstract

fetched live from OpenAlex

In Asean Economy Community (AEC) era, the competition in restaurant business is tighter and tighter, in domestic market or in international market (global market) . How to winning the competition?. The Bendega Restaurant must be able to offer an extremely good service to his guests, for example to offer outstanding service to all guests of Bendega restaurant, the price of food are so reasonable, quick service at all the times, much better service than the other competitors.Bad service, expensive food price, slow service, will make guest disappointed / dissatisfaction, although in a different degree.This research is aimed to know the activities of Bendega restaurant while measuring guest satisfaction at Bendega Restaurant at Renon Village in Denpasar in Asean Economy Community (AEC) era.Data of this research was collected by using direct observation, depth interview and documentation.The data are obtained from informants who know the object of research such as Restaurant Manager, Assistant Restaurant Manager, F&B Supervisor, Restaurant Captains and many waiters and waitress as the front liner of giving services in Bendega Restaurant.After that, the data was analyzed descriptively. One hundred questionairs were spreading out along one month on feb 2016. The result of the research showed that two third of guests were satisfied, a quarter of them were fair and the rest of them no respons with the services which were offered to the guests.According to the questionairs showed that the key of success by Bendega Restaurant was by offering fantastic services to their guests.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.024
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.258
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

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