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Record W3208133547 · doi:10.1017/jmo.2021.54

Linking proactive behavior and constructive deviance to affective commitment and turnover intention: the mediating role of idea championing

2021· article· en· W3208133547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management & Organization · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsConstructiveDeviance (statistics)PsychologySocial psychologyOrganizational commitmentStructural equation modelingNorm (philosophy)LoyaltyTurnoverBusinessPolitical scienceManagementMarketingComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract This paper explores how proactive behavior and constructive deviance relate to affective organizational commitment and turnover intention through idea championing. Based on a two-wave study ( N = 310), structural equation model analyses revealed that constructive deviance had an inhibitory effect and proactive behavior a facilitatory effect on idea championing. In turn, idea championing was related to increased affective commitment and reduced turnover intention. The analyses of indirect effects further indicated that proactive behavior and constructive deviance had opposite indirect effects on affective commitment and turnover intention. This research underlines the importance of acting proactively upstream rather than deviating from the norm to promote innovation and build employee loyalty to the organization. Finally, this study also indicates that proactive and constructive deviant behaviors are conceptually different and exert opposite effects despite their similar orientation toward innovation and change.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.040
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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