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Record W2033486518 · doi:10.1108/02652320210451223

What makes contact employees perform? Reactions to employee perceptions of managerial practices

2002· article· en· W2033486518 on OpenAlexaff
Jean‐Charles Chebat, Barry J. Babin, Paul Kollias

Bibliographic record

VenueInternational Journal of Bank Marketing · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsProsocial behaviorBusinessPerceptionMarketingService (business)CharterControl (management)IncentivePsychologySocial psychologyManagementEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

Which type of managerial control makes bank contact employees more likely to perform so called prosocial behavior toward their customers (i.e. behaviors which contribute to the bank’s positive image, perceived good service and customers’ satisfaction)? Four types of formal controls are considered here: training, behavioral control, pay administration and managerial orientation. An empirical study performed in six branches of a charter bank shows that pay management has the strongest effect on service employee prosocial behavior. Training also affects prosocial behavior significantly, but not as strongly as does perceived pay fairness. In addition it is shown that pay is the primary contributor to these employees’ perceived workplace fairness.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.302
Teacher spread0.265 · 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.

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

Citations66
Published2002
Admission routes1
Has abstractyes

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