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The Impact of Organizational Culture on Clinical Managers' Organizational Commitment and Turnover Intentions

2007· article· en· W2025812165 on OpenAlexaffabout
Christine Way, Deborah M. Gregory, Judy A. Davis, Norma Baker, Sandra LeFort, Brendan Barrett, Patrick S. Parfrey

Bibliographic record

VenueJONA The Journal of Nursing Administration · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsOrganizational commitmentRestructuringJob satisfactionOrganizational culturePsychologyTurnover intentionSocial psychologyTest (biology)PerceptionTurnoverAffective events theoryBusinessPublic relationsJob performancePolitical scienceManagementJob attitudeEconomics

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose was to investigate managers' perceptions of organizational culture and attitudinal and behavioral reactions during and after restructuring, and to test a model linking culture to outcome. BACKGROUND: Healthcare reform has altered the work environment, but few studies have documented the impact of system changes on managers responsible for clinical services. METHODS: Survey data were collected from clinical managers (N = 104; 99) employed by 3 institutional boards in Newfoundland and Labrador in 2000 and 2002. Response rates were 57.6% and 47.7%, respectively. RESULTS: For both periods, most variable ratings were in the low range and depicted moderately, positive intercorrelations. Select culture variables, trust, and job satisfaction emerged as significant predictors of commitment. Although culture and trust exerted inconsistent effects on intent, satisfaction remained a predictor over time. CONCLUSION: The findings support the negative impact of reform on clinical managers, and the strong link between positive ratings of culture, trust, and satisfaction, and greater commitment and intent to stay. Greater attention should focus on promoting more positive cultures and work-related attitudes, and less turnover intentions.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.354
Teacher spread0.320 · 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

Citations37
Published2007
Admission routes2
Has abstractyes

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