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Record W2061436677 · doi:10.1037/0021-9010.91.1.166

Toward a better understanding of psychological contract breach: A study of customer service employees.

2006· article· en· W2061436677 on OpenAlexaff
Stephen Deery, Roderick D. Iverson, Janet Walsh

Bibliographic record

VenueJournal of Applied Psychology · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychological contractAbsenteeismPsychologyPerceptionSample (material)Social psychologyOrganizational behaviorAffect (linguistics)Service (business)Applied psychologyBusinessMarketing

Abstract

fetched live from OpenAlex

Experiences of psychological contract breach have been associated with a range of negative behavior. However, much of the research has focused on master of business administration alumni and managers and made use of self-reported outcomes. Studying a sample of customer service employees, the research found that psychological contract breach was related to lower organizational trust, which, in turn was associated with perceptions of less cooperative employment relations and higher levels of absenteeism. Furthermore, perceptions of external market pressures moderated the effect of psychological contract breach on absenteeism. The study indicated that psychological contract breach can arise when employees perceive discrepancies between an organization's espoused behavioral standards and its actual behavioral standards, and this can affect discretionary absence.

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0070.006
Open science0.0010.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.066
GPT teacher head0.317
Teacher spread0.250 · 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 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

Citations326
Published2006
Admission routes1
Has abstractyes

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