MétaCan
Menu
Back to cohort
Record W2097261849 · doi:10.1002/atr.165

A case study on the change of customer satisfaction caused by outsourcing ticket sales

2011· article· en· W2097261849 on OpenAlexvenueno aff
Seung-Bum Ahn, Chansung Kim, Dongjoo Park, Sangho Choo, Jaisung Choi

Bibliographic record

VenueJournal of Advanced Transportation · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsTicketOutsourcingCustomer satisfactionBusinessMarketingComputer scienceComputer security

Abstract

fetched live from OpenAlex

Abstract The objective of this study is to compare and analyze rail stations with non‐outsourced rail stations in the ticket sales relating to customer satisfaction in Korea Railroad. For this purpose, first of all, the total satisfaction is compared among stations in Youngdeungpo area in Seoul. Second, to examine the difference between the outsourced stations and non‐outsourced stations, demographics are compared to measure the satisfaction degree. Third, the outsourced stations and non‐outsourced stations are compared regarding customer satisfaction. Fourth, the outsourced stations and non‐outsourced stations are compared in terms of importance for each service. It was found that customers were more satisfied with non‐outsourced station than the outsourced station, implying that the factors which make the difference are needed to be further investigated. Copyright © 2011 John Wiley & Sons, Ltd.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.279
Teacher spread0.207 · 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 designQualitative
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

Citations2
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Advanced TransportationSame topicCustomer Service Quality and LoyaltyFrench-language works237,207