MétaCan
Menu
Back to cohort
Record W2987534723 · doi:10.1177/0886368719881278

Revisiting the Use of Cash Rewards in the Workplace: Evidence of Their Differential Impact on Employees’ Experiences in Three Samples Using Self-Determination Theory

2019· article· en· W2987534723 on OpenAlexafffund
Anaïs Thibault Landry, Jacques Forest, Drea Zigarmi

Bibliographic record

VenueCompensation & Benefits Review · 2019
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité du Québec à MontréalConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCashMeaning (existential)PsychologyVariety (cybernetics)Set (abstract data type)Relevance (law)Social psychologyPerceptionEmpirical evidenceQuality (philosophy)Empirical researchMarketingBusinessFinance

Abstract

fetched live from OpenAlex

Using self-determination theory, this research sheds light on the role of different subjective, or functional, meanings of cash rewards on employees’ functioning. Based on three samples of workers from across the world in a variety of industries, the current research provides empirical evidence that cash rewards perceived as having an informative meaning positively contribute to their psychological needs, which leads to better functioning, whereas cash rewards perceived as having a controlling meaning negatively contributed to their psychological needs, which is then associated with suboptimal functioning. These findings highlight the theoretical and practical relevance of considering employees’ perceptions to understand the influence of cash reward programs on their commitment, quality of motivation and behaviors in the workplace as well as to better design these programs, including their roll out strategies, if organizations set those in place to drive healthier forms of motivation and commitment.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
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)0.0010.000

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 head0.153
GPT teacher head0.371
Teacher spread0.218 · 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

Citations4
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueCompensation & Benefits ReviewSame topicMotivation and Self-Concept in SportsFrench-language works237,207