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Record W1984537339 · doi:10.1108/09544780510603198

Effects of reengineering on the employee satisfaction‐customer satisfaction relationship

2005· article· en· W1984537339 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe TQM Journal · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsYork University
Fundersnot available
KeywordsBusiness process reengineeringCustomer satisfactionBusinessGeneralizability theoryMarketingService qualityCustomer retentionCustomer advocacyJob satisfactionService (business)Psychology

Abstract

fetched live from OpenAlex

Purpose This paper seeks to examine the correlations between measures of employee satisfaction and customer satisfaction before and after a major process reengineering initiative. Design/methodology/approach Data were collected in 130 branches of a large financial services organization using employee and customer surveys. Findings Scores on some employee satisfaction factors were predictive of customer satisfaction at both time periods. Other employee satisfaction factors were found to have a stronger relationship with customer satisfaction in one period but not both. Research limitations/implications This study needs to be replicated to determine the generalizability of the findings. Practical implications Work demands which probably increased due to the reengineering initiative were predictive of customer satisfaction following the reengineering effort. Originality/value Organizations need to consider the effects of organizational changes in their efforts to provide high quality customer service.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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