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Record W4378907225 · doi:10.1080/13678868.2023.2217731

Team-member and leader-member exchange, engagement, and turnover intentions: implications for human resource development

2023· article· en· W4378907225 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

VenueHuman Resource Development International · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsWork engagementMediationPsychologyModerated mediationHuman resourcesTurnoverTurnover intentionHuman resource managementQuality (philosophy)Employee engagementSocial psychologyWork (physics)Job satisfactionPublic relationsManagementPolitical science

Abstract

fetched live from OpenAlex

This study investigated the underlying dynamics between team member exchange (TMX) quality, leader-member exchange (LMX) quality, engagement, and turnover intentions through the lens of Job Demands-Resources (JD-R) theory. Data were collected from 407 employees working at United States and Israeli firms via a questionnaire. Findings indicated that work engagement mediates the relationship between TMX quality and turnover intentions and that LMX moderates this mediation. Specifically, in high and moderate LMX quality conditions, the impact of TMX quality on work engagement was stronger; and LMX moderated the impact of work engagement on turnover intentions by lowering turnover intentions further. When leader-member relations were not of high or moderate quality, TMX quality did not associate significantly with employee work engagement. Findings contribute to human resource development (HRD) literature on work engagement and turnover by addressing a) the connection between TMX and engagement, b) the mediation effect of engagement in the relationship between TMX and turnover intentions, and c) moderating effect of LMX. Implications for human resource development practices, in particular, for managerial training and leadership development and for performance appraisal, were discussed with the focus on team building to promote individual work engagement and reduce turnover.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.093
GPT teacher head0.315
Teacher spread0.222 · 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