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Record W3208903513 · doi:10.1080/13602381.2021.1990588

Exploitative leadership and employee innovative behaviour in China: a moderated mediation framework

2021· article· en· W3208903513 on OpenAlex
Zhining Wang, Yuhang Chen, Shuang Ren, Ngan Collins, Shaohan Cai, Chris Rowley

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

VenueAsia Pacific Business Review · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsCarleton University
Fundersnot available
KeywordsThrivingModerated mediationMediationPsychologySocial psychologyChinaTask (project management)Test (biology)Work (physics)ManagementPolitical scienceEconomicsEngineering

Abstract

fetched live from OpenAlex

This study uses ego depletion theory to explore the cross-level effect of exploitative leadership on employee innovative behaviour. It examines the mediating role of thriving at work and the moderating role of team task conflict. Using data collected from 371 employees and their direct supervisors from 79 work units in China, a multi-level path analysis is used to test a cross-level moderated mediation model. The results show that exploitative leadership negatively affects employee innovative behaviour via the mediation of thriving at work, which is moderated by team task conflict. Implications for research and practice are fully discussed in the paper.

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)0.001
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 score0.265
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.275
Teacher spread0.237 · 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