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Record W2117601742 · doi:10.1108/03090560410560227

Attributions on dissatisfying service encounters

2004· article· en· W2117601742 on OpenAlexaboutno aff
Patrick Poon, Michael K. Hui, Kevin Au

Bibliographic record

VenueEuropean Journal of Marketing · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsAttributionService (business)Control (management)Dimension (graph theory)Locus of controlAffect (linguistics)Social psychologyTertiary sector of the economyMultinational corporationPsychologyMarketingBusinessEconomicsManagement

Abstract

fetched live from OpenAlex

Based on the proposition that deprivation of control is a key instigator of attribution thoughts, this study explores cross‐national variations in consumers' formation and consequences of attributions on dissatisfying service encounters. We hypothesize that variations in the stage of economic development and the cultural dimension of long‐term versus short‐term orientation affect consumers' perceived level of control in and attributions of dissatisfying service encounters, and the relative effects of various attribution dimensions (including locus, controllable‐by‐organization, and stability) on consumers' switching intentions. Results obtained from a cross‐national survey show that compared to PRC consumers, Canadian consumers experience more deprivation of control in dissatisfying service encounters and exhibit stronger self‐serving biases in forming attributions about their dissatisfying service experiences. Moreover, the controllable‐by‐organization dimension (i.e. whether the problems of the service encounter could be controlled by the service firm) is found to have a stronger effect on the switching intentions of Canadian consumers than that of PRC consumers, while the opposite is found for the stability dimension (i.e. whether the same problem would recur in experiences with the service firm). Managerial implications for multinational service firms, particularly in terms of service recovery strategy for Chinese and Western consumers, are discussed.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 head0.030
GPT teacher head0.239
Teacher spread0.208 · 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

Citations77
Published2004
Admission routes1
Has abstractyes

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