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Record W3202039345 · doi:10.1177/15480518211041629

Are Leaders and Followers Receiving What They Give? A Long-Term Examination of the Reciprocal Relationship Between Relative LMX and Relative OCB-Helping

2021· article· en· W3202039345 on OpenAlexaff
Michel Tremblay, Xavier Parent‐Rocheleau, Pegah Sajadi

Bibliographic record

VenueJournal of Leadership & Organizational Studies · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsOrganizational citizenship behaviorReciprocity (cultural anthropology)PsychologySocial psychologySocial exchange theoryPerspective (graphical)ReciprocalSocial comparison theoryNorm (philosophy)Organizational commitmentPolitical science

Abstract

fetched live from OpenAlex

Relying on social comparison theory and the norm of reciprocity perspective, the present study aims to longitudinally investigate the specific relationships between relative leader–member exchange (RLMX) and relative organizational citizenship behavior (ROCB). We examined the potentially bidirectional relationship between these two constructs using data consisting of 1,420 time-lagged observations from 725 employees surveyed at multiple time points. Our results indicate that performing more helping behaviors than the group average (ROCB) leads to a subsequent higher quality of relationship with the leader compared to the group average (RLMX), above and beyond the effect of organizational citizenship behavior on RLMX. This effect is stronger than the reverse relationship (i.e., the effect of RLMX on ROCB, above and beyond the leader–member exchange). Implications for theory and practice are discussed.

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)0.003
metaresearch head score (Gemma)0.016
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 score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.128
GPT teacher head0.300
Teacher spread0.173 · 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

Citations20
Published2021
Admission routes1
Has abstractyes

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