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Record W1495686771 · doi:10.1108/17506121011036042

Management commitment to service quality and service recovery performance

2010· article· en· W1495686771 on OpenAlexaff
Michel Rod, Nicholas J. Ashill

Bibliographic record

VenueInternational Journal of Pharmaceutical and Healthcare Marketing · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsCarleton University
Fundersnot available
KeywordsBusinessService recoveryService qualityOrganizational commitmentContext (archaeology)MarketingPublic sectorService (business)Public relationsPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to investigate a model of management commitment to service quality (MCSQ) and service recovery performance in the context of public and private hospitals in New Zealand. Design/methodology/approach In a cross‐sectional survey grounded in Bagozzi's reformulation of attitude theory, frontline hospital employees (FHEs) were asked about how MCSQ impacted on their service recovery performance in both the public and private sectors. Findings The results of the study suggest that the relationship between MCSQ and service recovery performance is mediated by organizational commitment. With the exception of the relationship between MCSQ and organizational commitment, there are no differences between FHEs in the private and public sectors. Originality/value Very little attention has been given to a comparative examination of those managerial practices critical for improving frontline employee service recovery efforts in a public and private healthcare context. Our research addresses this paucity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.066
GPT teacher head0.376
Teacher spread0.310 · 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

Citations81
Published2010
Admission routes1
Has abstractyes

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