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Record W4256450410 · doi:10.24908/iqurcp.9315

Effects of Perceived Organizational Support and Leader Member Exchange on Individual Risk Taking

2018· article· en· W4256450410 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPerceived organizational supportAbsenteeismOrganizational citizenship behaviorPsychologyConstructiveSocial psychologyOrganizational commitment

Abstract

fetched live from OpenAlex

People’s relationships with their organization and their managers have significant effects on their work and their workplace attitudes. In this paper we look at the relationship between perceived organizational support (POS), leader member exchange (LMX), and risk taking. Workers with high levels of POS and LMX have more organizational commitment, have lower absenteeism and turnover rates, and exhibit more citizenship behaviour. We hypothesize that the higher the level of POS and LMX the more likely a person will be to take constructive versus destructive risk. Constructive risk is defined as risk involved in innovation and creativity, and is therefore desirable for organizations. This paper also looks at the links between Perceived Organizational Support and Leader Member Exchange, and at which of these factors is more influential on risk taking. This will allow organizations to best allocate their time and energy on initiatives linked to raising POS and LMX to get the highest return. This paper reflects initial findings of three separate studies looking at POS, LMX and risk taking.

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)0.002
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 score0.288
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
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 head0.084
GPT teacher head0.339
Teacher spread0.255 · 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