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Record W4399889380 · doi:10.1024/2673-8627/a000059

Autonomy Orientation and Innovative Work Behavior

2024· article· en· W4399889380 on OpenAlexaboutno aff
Konstantinos Papachristopoulos, Alexiοs Arvanitis

Bibliographic record

VenueEuropean Journal of Psychology Open · 2024
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsnot available
FundersEuropean Commission
KeywordsCreativityProsocial behaviorAutonomyPsychologySocial psychologyContext (archaeology)Causality (physics)MediationGoal orientationPolitical science

Abstract

fetched live from OpenAlex

Abstract: Introduction: Innovative work behavior (IWB) has a built-in, definitional association with elements of creativity and the provision of benefits to others within the work context. Because of the properties of IWB and the nature of autonomy, as conceptualized by self-determination theory, we hypothesized that autonomy orientation would be positively associated with IWB through the mediating role of both creativity and prosocial motivation. Aim: The study examines the relationship of dispositional autonomy with IWB and offers evidence for potential explanatory mechanisms of how autonomous forms of motivation are associated with IWB. Method: We conducted a cross-sectional study in Greece and Canada, wherein employees ( N = 528) completed assessments of causality orientations at work, prosocial motivation, creativity and IWB. Results: Autonomy orientation, creativity, and prosocial motivation were positively associated with IWB, whereas controlled and impersonal orientations were negatively associated with IWB. Mediation analyses showed that creativity and prosocial motivation mediated the relationship between causality orientations and innovative work behavior. Discussion and conclusion: Our findings extend prior research on the role of autonomy and prosocial motivation on innovative and creative behavior at work.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.090
GPT teacher head0.461
Teacher spread0.372 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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