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Record W3000795364 · doi:10.1177/0143831x19897415

The ebb and flow of psychological contract breach in relation to perceived organizational support: Reciprocal relationships over time

2020· article· en· W3000795364 on OpenAlexafffundabout
Yannick Griep, Sarah Bankins

Bibliographic record

VenueEconomic and Industrial Democracy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReciprocalMediationPsychological contractPerceived organizational supportSocial exchange theorySocial psychologyRelation (database)PsychologyVirtuous circle and vicious circleResource (disambiguation)Resource dependence theoryBusinessOrganizational commitmentEconomicsMicroeconomicsComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Perceived organizational support (POS) is commonly treated as a consequence of perceived psychological contract breach (PCB). However, because both concepts assume a mutual exchange relationship in which each party makes assessments of, and then decides how to reciprocate, the other party’s contributions, this article propounds that the PCB–POS relationship is recursive. By drawing on Conservation of Resources (COR) Theory, the authors argue that following an initial PCB, low levels of POS may then increase the likelihood of perceiving further PCBs through reduced management trust, thus generating a resource loss spiral. By estimating a two-level time-lagged mediation model on weekly data from 338 Canadian employees (1215 observations), the findings support the reciprocal PCB–POS relationship, and show that POS and PCB form a vicious cycle of resource loss. The authors suggest avenues for future research and practical implications relating to the role of time and resources in preventing further exchange deterioration.

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)0.053
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.053
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.250
Teacher spread0.210 · 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

Citations18
Published2020
Admission routes3
Has abstractyes

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