MétaCan
Menu
Back to cohort
Record W2910145606 · doi:10.1108/ijm-07-2017-0170

What strategy of human resource management to retain older workers?

2019· article· en· W2910145606 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Manpower · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsGenerativityPsychologyJob satisfactionMediationOrganizational commitmentHuman resourcesHuman resource managementSocial psychologyJob designOriginalityJob attitudeJob performanceJob analysisApplied psychologyIndustrial and organizational psychologyKnowledge managementManagementSociologyEconomicsComputer science

Abstract

fetched live from OpenAlex

Purpose Based on the theory of conservation of resources (Hobfoll, 1989), the purpose of this paper is to propose job satisfaction as a mediator between the use of generativity and affective occupational commitment. The authors tested the mediating role of affective occupational commitment on the relationship between job satisfaction and retirement preparation. Design/methodology/approach A sequential mediation model was tested by the method of indirect effects based on a bootstrap analysis (Preacher and Hayes, 2004) based on 3,000 replications with a 95% confidence interval. The statistical treatments were carried out with the AMOS software V.22. Data were collected for a sample of 340 older workers (bridge and retirees) in Québec, Canada. Findings Results indicate that generativity was related positively to affective occupational commitment via job satisfaction. Moreover, job satisfaction was also related positively to retirement preparation through affective occupational commitment. Practical implications The results can be helpful to guide organizational efforts at retaining older workers, and also recruiting and selecting those who want to return to work after retiring. They provide an insight on the effect of one of the main human resources practices or strategies, that is, programs aiming to attract and retain older workers to stay in the workplace and to encourage retirees to return to work in the form of bridge employment for example. Originality/value The study adds to the existing literature by examining a sequential mediation model to understand the relationship between organizational resources, job attitudes and retirement planning. It thus answers the call for more research and a theoretical framework on these critical variables for the retirement decision-making process. The findings can also contribute to the field of knowledge retention and fulfill some gaps in the literature on this topic. Indeed, examining the use of generativity in the study can help researchers and practitioners to better understand the reasons that encourage older workers to continue working and retirees to return to 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.

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 categoriesInsufficient 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 score0.332
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.111
GPT teacher head0.437
Teacher spread0.326 · 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