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Record W2562250704

Exploring the relationship between individual cultural values and employee silence

2016· dissertation· en· W2562250704 on OpenAlexaboutno aff
Sumeth Tanyaovalaksna

Bibliographic record

VenueTSpace (University of Toronto) · 2016
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceCultural valuesPsychologySocial psychologySociologySocial scienceAestheticsArt
DOInot available

Abstract

fetched live from OpenAlex

This study examines the relationship between individual cultural values and employee silence among nurses, medical laboratory technologists, and primary care paramedics in Canada. The study has four parts: Part A looks at the relationship between power distance, uncertainty avoidance, quiescent silence, and acquiescent silence. It also investigates the mediating role of psychological safety, using the Sobel formula and bootstrapping techniques. Part B investigates the relationship among collectivism, long-term orientation, competition, prosocial silence, and opportunistic silence. Part C investigates how the three professions use their silence in the workplace and Part D examines their perceptions relating to power distance, uncertainty avoidance, and competition. The study comprised 378 healthcare professionals including 156 registered nurses, 115 medical laboratory technologists, and 107 primary care paramedics. Part A results indicate that, for the professions combined, uncertainty avoidance and power distance have positive relationships with acquiescent silence but not with quiescent silence. These results are not replicable for the professions separately, indicating there are differences in cultural values among nurses, medical laboratory technologists and primary care paramedics. Across the professions, psychological safety has mediating roles between uncertainty avoidance, and both acquiescent and quiescent silence. However, psychological safety has no mediating role between power distance and acquiescent or quiescent silence. For the professions separately, these results are not replicable. The relationships among collectivism, competition and long-term orientation, prosocial silence and opportunistic silence are also investigated in Part B. Collectively, the three professions show significant relationships between competition and opportunistic silence, competition and prosocial silence, and collectivism and prosocial silence. These patterns are not replicable when each profession is examined separately. In Part C, both MANOVA and latent variable means indicate significant differences in the mean cultural values among the three professions. However, latent variable means and the post hoc tests disagree on the sub-construct differences between nurses and primary care paramedics, and between medical laboratory technologists and primary care paramedics. This implies that each individual construct will not be a good predictor for all three professions. Both MANOVA and latent variable means suggest significant differences in perceptions of individual cultural values among nurses, primary care paramedics, and medical laboratory technologists in Part D. Here also, latent variable means and the post hoc tests disagree on the differences of the sub-constructs between nurses and medical laboratory technologists, and between nurses and primary care paramedics. This study has implications for healthcare administrators who will need to develop communication and reporting policies that fit these three professions, especially the medical laboratory technologists. This group exhibits a positive relationship between power distance and acquiescent silence. These employees might most benefit from a workplace that is conducive to speaking up and a leader who seriously listens and legitimizes their concerns.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.272
Teacher spread0.194 · 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 designQualitative
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

Citations3
Published2016
Admission routes1
Has abstractyes

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